Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization

•Batch effects introduce significant confounding in multi-batch neuroimaging data.•Removal of batch effects is critical for reproducibility and generalizability.•We review current harmonization methods and describe common evaluation metrics.•We provide guidance to end-users on choosing an appropriat...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:NeuroImage (Orlando, Fla.) Ročník 274; s. 120125
Hlavní autoři: Hu, Fengling, Chen, Andrew A., Horng, Hannah, Bashyam, Vishnu, Davatzikos, Christos, Alexander-Bloch, Aaron, Li, Mingyao, Shou, Haochang, Satterthwaite, Theodore D., Yu, Meichen, Shinohara, Russell T.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 01.07.2023
Elsevier Limited
Elsevier
Témata:
Algorithms
Benchmarking
Biomarkers
Brain - diagnostic imaging
Brain - pathology
Clinical trials
Computed tomography
Data collection
Deep Learning
Humans
Machine learning
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Medical imaging
Neuroimaging
Neurosciences
Reproducibility of Results
Scanners
Statistics
ISSN:1053-8119, 1095-9572, 1095-9572
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract •Batch effects introduce significant confounding in multi-batch neuroimaging data.•Removal of batch effects is critical for reproducibility and generalizability.•We review current harmonization methods and describe common evaluation metrics.•We provide guidance to end-users on choosing an appropriate harmonization method.•We provide guidance to methodologists on current limitations and future directions. Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to obtain new insights into the human brain. However, significant confounding due to batch-related technical variation, called batch effects, is present in this data; direct application of downstream analyses to the data may lead to biased results. Image harmonization methods seek to remove these batch effects and enable increased generalizability and reproducibility of downstream results. In this review, we describe and categorize current approaches in statistical and deep learning harmonization methods. We also describe current evaluation metrics used to assess harmonization methods and provide a standardized framework to evaluate newly-proposed methods for effective harmonization and preservation of biological information. Finally, we provide recommendations to end-users to advocate for more effective use of current methods and to methodologists to direct future efforts and accelerate development of the field.
AbstractList Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to obtain new insights into the human brain. However, significant confounding due to batch-related technical variation, called batch effects, is present in this data; direct application of downstream analyses to the data may lead to biased results. Image harmonization methods seek to remove these batch effects and enable increased generalizability and reproducibility of downstream results. In this review, we describe and categorize current approaches in statistical and deep learning harmonization methods. We also describe current evaluation metrics used to assess harmonization methods and provide a standardized framework to evaluate newly-proposed methods for effective harmonization and preservation of biological information. Finally, we provide recommendations to end-users to advocate for more effective use of current methods and to methodologists to direct future efforts and accelerate development of the field.
Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to obtain new insights into the human brain. However, significant confounding due to batch-related technical variation, called batch effects, is present in this data; direct application of downstream analyses to the data may lead to biased results. Image harmonization methods seek to remove these batch effects and enable increased generalizability and reproducibility of downstream results. In this review, we describe and categorize current approaches in statistical and deep learning harmonization methods. We also describe current evaluation metrics used to assess harmonization methods and provide a standardized framework to evaluate newly-proposed methods for effective harmonization and preservation of biological information. Finally, we provide recommendations to end-users to advocate for more effective use of current methods and to methodologists to direct future efforts and accelerate development of the field.Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to obtain new insights into the human brain. However, significant confounding due to batch-related technical variation, called batch effects, is present in this data; direct application of downstream analyses to the data may lead to biased results. Image harmonization methods seek to remove these batch effects and enable increased generalizability and reproducibility of downstream results. In this review, we describe and categorize current approaches in statistical and deep learning harmonization methods. We also describe current evaluation metrics used to assess harmonization methods and provide a standardized framework to evaluate newly-proposed methods for effective harmonization and preservation of biological information. Finally, we provide recommendations to end-users to advocate for more effective use of current methods and to methodologists to direct future efforts and accelerate development of the field.
Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to obtain new insights into the human brain. However, significant confounding due to batch-related technical variation, called batch effects, is present in this data; direct application of downstream analyses to the data may lead to biased results. Image harmonization methods seek to remove these batch effects and enable increased generalizability and reproducibility of downstream results. In this review, we describe and categorize current approaches in statistical and deep learning harmonization methods. We also describe current evaluation metrics used to assess harmonization methods and provide a standardized framework to evaluate newly-proposed methods for effective harmonization and preservation of biological information. Finally, we provide recommendations to end-users to advocate for more effective use of current methods and to methodologists to direct future efforts and accelerate development of the field.
•Batch effects introduce significant confounding in multi-batch neuroimaging data.•Removal of batch effects is critical for reproducibility and generalizability.•We review current harmonization methods and describe common evaluation metrics.•We provide guidance to end-users on choosing an appropriate harmonization method.•We provide guidance to methodologists on current limitations and future directions. Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to obtain new insights into the human brain. However, significant confounding due to batch-related technical variation, called batch effects, is present in this data; direct application of downstream analyses to the data may lead to biased results. Image harmonization methods seek to remove these batch effects and enable increased generalizability and reproducibility of downstream results. In this review, we describe and categorize current approaches in statistical and deep learning harmonization methods. We also describe current evaluation metrics used to assess harmonization methods and provide a standardized framework to evaluate newly-proposed methods for effective harmonization and preservation of biological information. Finally, we provide recommendations to end-users to advocate for more effective use of current methods and to methodologists to direct future efforts and accelerate development of the field.
ArticleNumber 120125
Author Davatzikos, Christos
Shinohara, Russell T.
Yu, Meichen
Alexander-Bloch, Aaron
Shou, Haochang
Chen, Andrew A.
Li, Mingyao
Horng, Hannah
Hu, Fengling
Bashyam, Vishnu
Satterthwaite, Theodore D.
AuthorAffiliation f Statistical Center for Single-Cell and Spatial Genomics, Perelman School of Medicine, University of Pennsylvania, United States
e Department of Child and Adolescent Psychiatry and Behavioral Science, Children’s Hospital of Philadelphia, United States
h Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, United States
d Penn-CHOP Lifespan Brain Institute, United States
g The Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
c Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
a Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Philadelphia, PA 19104, United States
b Center for Biomedical Image Computing and Analytics (CBICA), Perelman School of Medicine, United States
AuthorAffiliation_xml – name: b Center for Biomedical Image Computing and Analytics (CBICA), Perelman School of Medicine, United States
– name: g The Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
– name: f Statistical Center for Single-Cell and Spatial Genomics, Perelman School of Medicine, University of Pennsylvania, United States
– name: a Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Philadelphia, PA 19104, United States
– name: h Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, United States
– name: d Penn-CHOP Lifespan Brain Institute, United States
– name: c Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
– name: e Department of Child and Adolescent Psychiatry and Behavioral Science, Children’s Hospital of Philadelphia, United States
Author_xml – sequence: 1
  givenname: Fengling
  orcidid: 0000-0003-1081-5038
  surname: Hu
  fullname: Hu, Fengling
  email: fengling.hu@pennmedicine.upenn.edu
  organization: Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Philadelphia, PA 19104, United States
– sequence: 2
  givenname: Andrew A.
  surname: Chen
  fullname: Chen, Andrew A.
  organization: Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Philadelphia, PA 19104, United States
– sequence: 3
  givenname: Hannah
  surname: Horng
  fullname: Horng, Hannah
  organization: Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Philadelphia, PA 19104, United States
– sequence: 4
  givenname: Vishnu
  surname: Bashyam
  fullname: Bashyam, Vishnu
  organization: Center for Biomedical Image Computing and Analytics (CBICA), Perelman School of Medicine, United States
– sequence: 5
  givenname: Christos
  surname: Davatzikos
  fullname: Davatzikos, Christos
  organization: Center for Biomedical Image Computing and Analytics (CBICA), Perelman School of Medicine, United States
– sequence: 6
  givenname: Aaron
  surname: Alexander-Bloch
  fullname: Alexander-Bloch, Aaron
  organization: Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
– sequence: 7
  givenname: Mingyao
  surname: Li
  fullname: Li, Mingyao
  organization: Statistical Center for Single-Cell and Spatial Genomics, Perelman School of Medicine, University of Pennsylvania, United States
– sequence: 8
  givenname: Haochang
  surname: Shou
  fullname: Shou, Haochang
  organization: Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Philadelphia, PA 19104, United States
– sequence: 9
  givenname: Theodore D.
  surname: Satterthwaite
  fullname: Satterthwaite, Theodore D.
  organization: Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, United States
– sequence: 10
  givenname: Meichen
  surname: Yu
  fullname: Yu, Meichen
  organization: Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, United States
– sequence: 11
  givenname: Russell T.
  surname: Shinohara
  fullname: Shinohara, Russell T.
  organization: Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Philadelphia, PA 19104, United States
BackLink https://www.ncbi.nlm.nih.gov/pubmed/37084926$$D View this record in MEDLINE/PubMed
BookMark eNqNkstu1DAUhiNURC_wCsgSGzYz-JaLWQCl4lKpEhtYW459POMhsQc7GVSegwfGmbRAZzUrWyf__-Ucn_-8OPHBQ1EggpcEk-rVZulhjMH1agVLiilbEooJLR8VZwSLciHKmp5M95ItGkLEaXGe0gZjLAhvnhSnrMYNF7Q6K35fTwy0VrEP3v1Sgwv-NbpEEXYOfqJgURpyMQ1Oqw4pb5AB2KIOVPTOr1APwzqYhGyI2dOH3VRs1aDXCKwFPaS9CXaqG_fwyRGdnh2zxO0OGnhaPLaqS_Ds7rwovn388PXq8-Lmy6frq8ubha5EPSwsNLWFuqSEE2psxU2jygaEaqyqdN2CYZpXorU1oaB4o4CXCmOlMBG8bAi7KK5nrglqI7cxv2e8lUE5uS-EuJIq5sk7kJUBLSrDeKsYZ6JsKTYCmKmYwJhZlVlvZ9Z2bHswGvwQVfcA-vCLd2u5CjtJMC1rxutMeHlHiOHHCGmQvUsauk55CGOStMElphVreJa-OJBuwhh9fqusIoyyPOA03vP_W_rby_32s-DNLNAxpBTBSu2G_QZyh67LrckpbnIj_8VNTnGTc9wyoDkA3P_jCOv72Qp5wTlrUSbtwGswLuZM5A24YyDvDiC6c36K6ne4PQ7xBzUjD0o
CitedBy_id crossref_primary_10_1038_s41386_024_01938_8
crossref_primary_10_1038_s41467_024_47748_w
crossref_primary_10_1148_ryai_230506
crossref_primary_10_1161_STROKEAHA_124_045903
crossref_primary_10_1002_mp_17320
crossref_primary_10_1016_j_nsa_2024_105407
crossref_primary_10_1117_1_JMI_11_2_024008
crossref_primary_10_1093_gigascience_giaf092
crossref_primary_10_3390_electronics13163211
crossref_primary_10_1088_1361_6560_adabad
crossref_primary_10_1080_09540261_2025_2548278
crossref_primary_10_1016_j_clinph_2024_09_019
crossref_primary_10_1016_j_media_2024_103388
crossref_primary_10_1186_s40708_023_00210_x
crossref_primary_10_1186_s40537_025_01193_8
crossref_primary_10_1002_hbm_70197
crossref_primary_10_1016_j_tins_2023_11_011
crossref_primary_10_1093_biomtc_ujae003
crossref_primary_10_1186_s40708_023_00217_4
crossref_primary_10_1117_1_JMI_11_2_024011
crossref_primary_10_1038_s41598_023_46465_6
crossref_primary_10_1016_j_compmedimag_2023_102285
crossref_primary_10_1002_ctm2_70108
crossref_primary_10_1016_j_neuroimage_2025_121297
crossref_primary_10_1117_1_JMI_11_5_054502
crossref_primary_10_1002_mp_17955
crossref_primary_10_1109_TBME_2023_3330087
crossref_primary_10_1002_hbm_26708
crossref_primary_10_1002_jmri_29088
crossref_primary_10_1002_pmic_202400100
crossref_primary_10_1016_j_jpi_2024_100396
crossref_primary_10_1038_s41569_024_01060_8
crossref_primary_10_3390_s25185858
crossref_primary_10_1016_j_fnutr_2025_100019
crossref_primary_10_1007_s11517_024_03097_w
crossref_primary_10_1038_s41598_024_64208_z
crossref_primary_10_1007_s10278_024_01266_9
crossref_primary_10_1016_j_biopsych_2025_09_003
crossref_primary_10_1016_j_biopsych_2024_03_012
crossref_primary_10_1080_15435075_2025_2450468
crossref_primary_10_3233_JAD_230740
crossref_primary_10_1016_j_neuroimage_2025_121422
crossref_primary_10_1162_imag_a_00306
crossref_primary_10_1371_journal_pone_0328262
crossref_primary_10_1162_IMAG_a_73
crossref_primary_10_1371_journal_pone_0322365
crossref_primary_10_1002_hbm_70217
crossref_primary_10_1093_ajeadv_uuaf005
crossref_primary_10_1016_j_neuron_2025_08_026
crossref_primary_10_1186_s13229_025_00657_1
crossref_primary_10_1007_s00429_025_02988_4
crossref_primary_10_1016_j_imavis_2024_105254
crossref_primary_10_1186_s12938_024_01280_6
crossref_primary_10_1016_j_heliyon_2023_e22647
crossref_primary_10_1016_j_bpsc_2025_01_003
crossref_primary_10_1002_hbm_26692
crossref_primary_10_1016_j_redii_2023_100038
crossref_primary_10_3390_stats6040061
crossref_primary_10_1007_s10278_024_01253_0
crossref_primary_10_1038_s41597_024_04157_4
crossref_primary_10_1016_j_compbiomed_2025_111080
crossref_primary_10_1016_j_media_2024_103354
crossref_primary_10_1007_s00247_023_05792_6
crossref_primary_10_3389_fneur_2025_1612598
crossref_primary_10_1002_hbm_70089
crossref_primary_10_1016_j_nic_2024_12_003
crossref_primary_10_1162_imag_a_00430
Cites_doi 10.1016/j.neuroimage.2022.119699
10.1016/j.neuroimage.2022.119297
10.1117/1.JMI.7.1.012707
10.1016/j.media.2021.102136
10.1101/2020.11.20.390120
10.1016/j.neuroimage.2020.116831
10.1016/j.jclinepi.2003.09.014
10.1101/2021.12.01.470790
10.1109/TIP.2003.819861
10.1109/IJCNN.2019.8851881
10.1101/2022.07.27.501786
10.1016/j.neuroimage.2022.119330
10.1016/j.neuroimage.2017.03.020
10.1016/j.jalz.2005.06.003
10.1016/j.neuroimage.2019.01.077
10.1002/hbm.25565
10.3174/ajnr.A5254
10.1002/jmri.27908
10.1186/s12938-020-0748-9
10.1038/nn1231
10.1016/j.neuroimage.2021.118189
10.1016/j.neuroimage.2016.02.036
10.3390/cancers13194809
10.1176/appi.ajp.2018.17121383
10.1016/j.conb.2003.09.012
10.1007/s10278-022-00755-z
10.1161/STROKEAHA.108.519207
10.1002/(SICI)1097-0193(1998)6:3<160::AID-HBM5>3.0.CO;2-1
10.1093/biomet/70.1.41
10.1186/s13063-016-1230-7
10.1016/j.neuroimage.2020.117689
10.1016/j.neuroimage.2021.118822
10.1016/j.media.2020.101879
10.1006/nimg.2002.1132
10.1016/j.jpsychires.2022.12.037
10.1002/hbm.25830
10.1016/j.compbiomed.2022.105928
10.1109/TMI.2019.2901750
10.1007/s00330-004-2278-4
10.1007/s00415-022-11387-2
10.1038/s41598-022-23328-0
10.1161/STROKEAHA.108.532051
10.1016/j.neuroimage.2022.119570
10.1007/s10334-020-00892-y
10.1002/hbm.25615
10.1016/j.annepidem.2005.09.007
10.1038/nrneurol.2017.75
10.3389/fneur.2022.923988
10.1186/1471-2288-5-28
10.1016/j.neuroimage.2020.117129
10.3389/fnins.2020.00396
10.1002/mrm.28243
10.1093/biostatistics/kxj037
10.1016/j.neuroimage.2021.118675
10.3390/jimaging8110303
10.1002/jmri.27558
10.1093/biostatistics/kxv027
10.1007/s00330-020-07598-8
10.1093/brain/awaa200
10.1016/j.neuroimage.2018.08.073
10.1186/s13195-014-0087-9
10.1016/j.neuroimage.2022.119439
10.1038/s41467-022-31730-5
10.1371/journal.pbio.3000966
10.1016/j.neuroimage.2021.118569
10.1371/journal.pbio.3000042
10.1002/hbm.24463
10.1002/mp.15212
10.3390/cancers13225672
10.1007/s11548-021-02433-x
10.1038/s41597-021-01004-8
10.1016/j.nicl.2022.102972
10.1016/j.neuroimage.2007.09.066
10.1002/jmri.22636
10.3389/fneur.2022.850642
10.3390/brainsci12091219
10.1016/j.nicl.2014.08.008
10.1002/nbm.3252
10.1056/NEJMoa2212948
10.1001/jamaoncol.2021.6818
10.1109/TBME.2021.3080259
10.1109/TMI.2010.2046908
10.1109/JBHI.2022.3162118
10.1002/hbm.24241
10.1038/s41598-020-66110-w
10.1101/309260
10.3390/jcm10214987
10.1002/mrm.28926
10.1016/j.media.2007.06.004
10.3390/jcm12010140
10.1109/CVPR42600.2020.00821
10.1016/j.neuroimage.2006.02.051
10.1109/ICCV.2017.167
10.1016/j.neuroimage.2013.08.046
10.1016/j.neuroimage.2019.116442
10.1002/mp.14619
10.1371/journal.pone.0253653
10.1038/s41380-022-01519-5
10.1038/s41586-022-04554-y
10.1016/j.neuroimage.2021.118703
10.3389/fnagi.2022.869387
10.1016/j.dcn.2019.100706
10.1038/s41593-020-00726-z
10.1002/mrm.1910390222
10.1002/(SICI)1522-2594(199912)42:6<1072::AID-MRM11>3.0.CO;2-M
10.3390/cancers14020286
10.1101/2022.08.01.502396
10.1016/j.neuroimage.2016.04.041
10.1016/j.media.2021.102076
10.1016/j.neuroimage.2017.11.024
10.1080/01621459.1998.10473773
10.3389/fnhum.2014.00239
10.1016/j.mri.2019.05.041
10.1007/s00330-020-07284-9
10.1016/j.neuroimage.2018.09.060
10.3389/fnins.2022.1012287
10.1016/j.mri.2020.08.001
10.1001/jama.2019.9269
10.1038/s41380-019-0509-y
10.1038/nn.3818
10.3390/cancers13123000
10.1016/j.neuroimage.2019.116335
10.1016/j.neuroimage.2016.03.051
10.1038/s41598-020-72535-0
10.2967/jnumed.121.263102
10.1007/s13311-021-01030-9
10.1007/s11682-016-9670-y
10.1016/j.neuroimage.2016.10.020
10.3389/fneur.2022.826734
10.1038/s41598-022-16375-0
10.1101/2022.07.13.499561
10.1016/j.neuroimage.2019.116450
10.1002/hbm.10062
10.1016/j.neuroimage.2020.117127
10.1002/mrm.28148
10.1186/s12859-020-03559-6
10.1016/j.heliyon.2020.e05652
10.1056/NEJMoa044397
10.1016/j.phro.2022.05.005
10.1016/j.neuroimage.2013.04.061
10.1016/j.neuroimage.2013.11.046
10.1016/j.neuroimage.2014.03.034
10.1371/journal.pcbi.1009279
10.1016/j.nicl.2022.103217
10.1007/978-3-030-59728-3_68
10.1016/j.neuroimage.2019.116210
10.1016/j.dcn.2018.03.001
10.1002/nbm.3269
10.1016/j.mri.2022.06.004
10.1088/1361-6560/aba798
10.1186/s13059-019-1850-9
10.1109/CVPR.2019.00453
10.1109/ACCESS.2019.2919241
10.1016/j.neuroimage.2020.116956
10.3389/fneur.2022.826564
10.1016/j.neuroimage.2019.116091
10.3389/fnins.2015.00395
10.1016/j.neuroimage.2015.07.010
10.1016/j.bbr.2022.114058
10.1016/j.neuroimage.2020.117242
10.1016/j.neuroimage.2017.08.047
10.1186/s40345-021-00240-6
10.1038/s41598-022-16609-1
10.1016/j.neuroimage.2022.119768
10.1038/s41597-022-01386-3
10.1088/1361-6560/ac39e5
10.3389/fpsyt.2021.667881
10.1016/j.neuroimage.2022.119509
10.3389/fneur.2020.00622
10.1002/jmri.23825
10.1016/j.pscychresns.2014.02.011
10.1038/mp.2013.78
10.1002/hbm.25688
10.1038/s41598-022-08412-9
10.1016/j.neuroimage.2005.09.046
10.1016/j.mri.2007.08.006
10.1016/j.media.2020.101714
10.1001/archgenpsychiatry.2011.72
10.1016/j.neuroimage.2020.117128
10.1038/s41598-022-26083-4
10.1038/s41562-020-01005-4
10.1088/1361-6560/ac7b66
10.1016/j.neuroimage.2013.07.064
10.3389/fnins.2020.00260
10.1214/20-BA1240
10.1016/j.neuroimage.2019.01.074
10.1002/jmri.27679
10.1093/ndt/gfu325
10.1016/j.neuroimage.2013.05.041
10.1007/s11548-022-02828-4
ContentType Journal Article
Copyright 2023
Copyright © 2023. Published by Elsevier Inc.
Copyright Elsevier Limited Jul 1, 2023
Copyright_xml – notice: 2023
– notice: Copyright © 2023. Published by Elsevier Inc.
– notice: Copyright Elsevier Limited Jul 1, 2023
DBID 6I.
AAFTH
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7TK
7X7
7XB
88E
88G
8AO
8FD
8FE
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M1P
M2M
M7P
P64
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PSYQQ
Q9U
RC3
7X8
5PM
DOA
DOI 10.1016/j.neuroimage.2023.120125
DatabaseName ScienceDirect Open Access Titles
Elsevier:ScienceDirect:Open Access
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Neurosciences Abstracts
Health & Medical Collection (ProQuest)
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Psychology Database (Alumni)
ProQuest Pharma Collection
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials - QC
Biological Science Collection
ProQuest Central
Natural Science Collection
ProQuest One Community College
ProQuest Central Korea
Engineering Research Database
Proquest Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
ProQuest Biological Science Collection
ProQuest Health & Medical Collection
Medical Database
Psychology Database (ProQuest)
Biological Science Database (ProQuest)
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest One Psychology
ProQuest Central Basic
Genetics Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest One Psychology
ProQuest Central Student
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Health & Medical Research Collection
Genetics Abstracts
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Biological Science Collection
ProQuest Central Basic
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Psychology Journals (Alumni)
Biological Science Database
ProQuest SciTech Collection
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest Psychology Journals
ProQuest One Academic UKI Edition
Engineering Research Database
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
MEDLINE - Academic
ProQuest One Psychology
MEDLINE
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Statistics
EISSN 1095-9572
EndPage 120125
ExternalDocumentID oai_doaj_org_article_6dec96d34ba34395b20d9e3d639003fa
PMC10257347
37084926
10_1016_j_neuroimage_2023_120125
S1053811923002719
Genre Review
Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NINDS NIH HHS
  grantid: R01 NS085211
– fundername: NIA NIH HHS
  grantid: U19 AG074879
– fundername: NIA NIH HHS
  grantid: RF1 AG054409
– fundername: NIMH NIH HHS
  grantid: R01 MH113550
– fundername: NIMH NIH HHS
  grantid: R01 MH123550
– fundername: NIBIB NIH HHS
  grantid: R01 EB022573
– fundername: NIA NIH HHS
  grantid: R01 AG019771
– fundername: NIMH NIH HHS
  grantid: R01 MH120482
– fundername: NIA NIH HHS
  grantid: U01 AG072177
– fundername: NIA NIH HHS
  grantid: P30 AG072976
GroupedDBID ---
--K
--M
.1-
.FO
.~1
0R~
123
1B1
1RT
1~.
1~5
4.4
457
4G.
5RE
5VS
7-5
71M
7X7
88E
8AO
8FE
8FH
8FI
8FJ
8P~
9JM
AABNK
AAEDT
AAEDW
AAFWJ
AAIKJ
AAKOC
AALRI
AAOAW
AATTM
AAXKI
AAXLA
AAXUO
AAYWO
ABBQC
ABCQJ
ABFNM
ABFRF
ABIVO
ABJNI
ABMAC
ABMZM
ABUWG
ACDAQ
ACGFO
ACGFS
ACIEU
ACLOT
ACPRK
ACRLP
ACVFH
ADBBV
ADCNI
ADEZE
ADFRT
ADVLN
AEBSH
AEFWE
AEIPS
AEKER
AENEX
AEUPX
AFJKZ
AFKRA
AFPKN
AFPUW
AFRHN
AFTJW
AFXIZ
AGUBO
AGWIK
AGYEJ
AHHHB
AHMBA
AIEXJ
AIGII
AIIUN
AIKHN
AITUG
AJRQY
AJUYK
AKBMS
AKRWK
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
ANZVX
APXCP
AXJTR
AZQEC
BBNVY
BENPR
BHPHI
BKOJK
BLXMC
BNPGV
BPHCQ
BVXVI
CCPQU
CS3
DM4
DU5
DWQXO
EBS
EFBJH
EFKBS
EO8
EO9
EP2
EP3
F5P
FDB
FIRID
FNPLU
FYGXN
FYUFA
G-Q
GBLVA
GNUQQ
GROUPED_DOAJ
HCIFZ
HMCUK
IHE
J1W
KOM
LG5
LK8
LX8
M1P
M29
M2M
M2V
M41
M7P
MO0
MOBAO
N9A
O-L
O9-
OAUVE
OK1
OVD
OZT
P-8
P-9
P2P
PC.
PHGZM
PHGZT
PJZUB
PPXIY
PQGLB
PQQKQ
PROAC
PSQYO
PSYQQ
Q38
ROL
RPZ
SAE
SCC
SDF
SDG
SDP
SES
SSH
SSN
SSZ
T5K
TEORI
UKHRP
UV1
YK3
Z5R
ZU3
~G-
~HD
6I.
AACTN
AADPK
AAFTH
AAIAV
AAQFI
ABLVK
ABYKQ
AFKWA
AJOXV
AMFUW
C45
HMQ
LCYCR
NCXOZ
RIG
SEW
SNS
ZA5
29N
53G
9DU
AAQXK
AAYXX
ABXDB
ACRPL
ADFGL
ADMUD
ADNMO
ADXHL
AFFHD
AGHFR
AGQPQ
AKRLJ
ASPBG
AVWKF
AZFZN
CAG
CITATION
COF
EFLBG
EJD
FEDTE
FGOYB
G-2
HDW
HEI
HMK
HMO
HVGLF
HZ~
R2-
WUQ
XPP
ZMT
ALIPV
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7TK
7XB
8FD
8FK
FR3
K9.
P64
PKEHL
PQEST
PQUKI
PRINS
Q9U
RC3
7X8
PUEGO
5PM
ID FETCH-LOGICAL-c697t-fe87fe7521412df64d8a58e9a8fa6c7bed3c469bf712ea48ae45a00aa01945813
IEDL.DBID DOA
ISICitedReferencesCount 80
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001054270700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1053-8119
1095-9572
IngestDate Fri Oct 03 12:53:37 EDT 2025
Tue Nov 04 02:06:44 EST 2025
Sat Sep 27 19:38:54 EDT 2025
Tue Oct 07 07:01:15 EDT 2025
Thu Apr 03 07:07:14 EDT 2025
Tue Nov 18 21:03:40 EST 2025
Sat Nov 29 07:10:02 EST 2025
Sat Mar 02 16:00:21 EST 2024
Tue Oct 14 19:35:53 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
License This is an open access article under the CC BY license.
Copyright © 2023. Published by Elsevier Inc.
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c697t-fe87fe7521412df64d8a58e9a8fa6c7bed3c469bf712ea48ae45a00aa01945813
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
Asterisks indicate equal contribution to this work.
ORCID 0000-0003-1081-5038
OpenAccessLink https://doaj.org/article/6dec96d34ba34395b20d9e3d639003fa
PMID 37084926
PQID 2813231941
PQPubID 2031077
PageCount 1
ParticipantIDs doaj_primary_oai_doaj_org_article_6dec96d34ba34395b20d9e3d639003fa
pubmedcentral_primary_oai_pubmedcentral_nih_gov_10257347
proquest_miscellaneous_2805026384
proquest_journals_2813231941
pubmed_primary_37084926
crossref_citationtrail_10_1016_j_neuroimage_2023_120125
crossref_primary_10_1016_j_neuroimage_2023_120125
elsevier_sciencedirect_doi_10_1016_j_neuroimage_2023_120125
elsevier_clinicalkey_doi_10_1016_j_neuroimage_2023_120125
PublicationCentury 2000
PublicationDate 2023-07-01
PublicationDateYYYYMMDD 2023-07-01
PublicationDate_xml – month: 07
  year: 2023
  text: 2023-07-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: Amsterdam
PublicationTitle NeuroImage (Orlando, Fla.)
PublicationTitleAlternate Neuroimage
PublicationYear 2023
Publisher Elsevier Inc
Elsevier Limited
Elsevier
Publisher_xml – name: Elsevier Inc
– name: Elsevier Limited
– name: Elsevier
References Zuo, Dewey, Liu, He, Newsome, Mowry, Resnick, Prince, Carass (bib0227) 2021; 243
Tondelli, Vaudano, Sisodiya, Meletti (bib0194) 2020; 11
Selim, Zhang, Fei, Zhang, Ge, Chen (bib0171) 2022
Beer, Tustison, Cook, Davatzikos, Sheline, Shinohara, Linn (bib0011) 2020; 220
Bourbonne, Jaouen, Nguyen, Tissot, Doucet, Hatt, Visvikis, Pradier, Valéri, Fournier, Schick (bib0019) 2021; 13
Meeter, Kaat, Rohrer, van Swieten (bib0133) 2017; 13
Nielson, D.M., Pereira, F., Zheng, C.Y., Migineishvili, N., Lee, J.A., Thomas, A.G., Bandettini, P.A., 2018. Detecting and harmonizing scanner differences in the ABCD study - annual release 1.0. https://doi.org/10.1101/309260
Bridgeford, Wang, Wang, Xu, Craddock, Dey, Kiar, Gray-Roncal, Colantuoni, Douville, Noble, Priebe, Caffo, Milham, Zuo, Vogelstein (bib0020) 2021; 17
Koike, Tanaka, Okada, Aso, Yamashita, Yamashita, Asano, Maikusa, Morita, Okada, Fukunaga, Uematsu, Togo, Miyazaki, Murata, Urushibata, Autio, Ose, Yoshimoto, Araki, Glasser, Van Essen, Maruyama, Sadato, Kawato, Kasai, Okamoto, Hanakawa, Hayashi (bib0112) 2021; 30
McKeown, Hansen, Sejnowsk (bib0131) 2003; 13
van Dyck, Swanson, Aisen, Bateman, Chen, Gee, Kanekiyo, Li, Reyderman, Cohen, Froelich, Katayama, Sabbagh, Vellas, Watson, Dhadda, Irizarry, Kramer, Iwatsubo (bib0201) 2023; 388
Garcia-Dias, Scarpazza, Baecker, Vieira, Pinaya, Corvin, Redolfi, Nelson, Crespo-Facorro, McDonald, Tordesillas-Gutiérrez, Cannon, Mothersill, Hernaus, Morris, Setien-Suero, Donohoe, Frisoni, Tronchin, Sato, Marcelis, Kempton, van Haren, Gruber, McGorry, Amminger, McGuire, Gong, Kahn, Ayesa-Arriola, van Amelsvoort, Ortiz-García de la Foz, Calhoun, Cahn, Mechelli (bib0072) 2020; 220
Yang, Dvornek, Zhang, Chapiro, Lin, Duncan (bib0218) 2019
Liu, Maiti, Thomopoulos, Zhu, Chai, Kim, Jahanshad (bib0122) 2021
Campello, Martín-Isla, Izquierdo, Guala, Palomares, Viladés, Descalzo, Karakas, Çavuş, Raisi-Estabragh, Petersen, Escalera, Seguí, Lekadir (bib0025) 2022; 12
Da-Ano, Lucia, Masson, Abgral, Alfieri, Rousseau, Mervoyer, Reinhold, Pradier, Schick, Visvikis, Hatt (bib0047) 2021; 16
Yamashita, Sakai, Yamada, Yahata, Kunimatsu, Okada, Itahashi, Hashimoto, Mizuta, Ichikawa, Takamura, Okada, Yamagata, Harada, Matsuo, Tanaka, Kawato, Kasai, Kato, Takahashi, Okamoto, Yamashita, Imamizu (bib0215) 2021; 12
Shao, Zuo, Carass, Zhuo, Gullapalli, Prince (bib0172) 2022
Kieselmann, Fuller, Gurney-Champion, Oelfke (bib0109) 2021; 48
Hernández, Steyerberg, Habbema (bib0088) 2004; 57
Whitney, Li, Ji, Liu, Giger (bib0211) 2020; 7
Zhang, R., Oliver, L.D., Voineskos, A.N., Park, J.Y., 2022. A structured multivariate approach for removal of latent batch effects. https://doi.org/10.1101/2022.08.01.502396
Fortin, Parker, Tunç, Watanabe, Elliott, Ruparel, Roalf, Satterthwaite, Gur, Gur, Schultz, Verma, Shinohara (bib0069) 2017; 161
Tang, H., Xu, D., Sebe, N., Yan, Y., 2019. Attention-guided generative adversarial networks for unsupervised image-to-image translation. https://doi.org/10.48550/arXiv.1903.12296
Aderghal, Afdel, Benois-Pineau, Catheline (bib0002) 2020; 6
Bostami, Espinoza, van der Horn, van der Naalt, Calhoun, Vergara (bib0017) 2022
Richter, Winzeck, Correia, Kornaropoulos, Manktelow, Outtrim, Chatfield, Posti, Tenovuo, Williams, Menon, Newcombe (bib0161) 2022; 2
Mckeown, Makeig, Brown, Jung, Kindermann, Bell, Sejnowski (bib0132) 1998; 6
Hellier (bib0086) 2003
Ingalhalikar, Shinde, Karmarkar, Rajan, Rangaprakash, Deshpande (bib0099) 2021; 68
Marek, Tervo-Clemmens, Nielsen, Wheelock, Miller, Laumann, Earl, Foran, Cordova, Doyle, Perrone, Miranda-Dominguez, Feczko, Sturgeon, Graham, Hermosillo, Snider, Galassi, Nagel, Ewing, Eggebrecht, Garavan, Dale, Greene, Barch, Fair, Luna, Dosenbach (bib0129) 2019; 40
Torbati, M.E., Minhas, D.S., Laymon, C.M., Maillard, P., Wilson, J.D., Chen, C.-L., Crainiceanu, C.M., DeCarli, C.S., Hwang, S.J., Tudorascu, D.L., 2022. MISPEL: a deep learning approach for harmonizing multi-scanner matched neuroimaging data. https://doi.org/10.1101/2022.07.27.501786
De Luca, Karayumak, Leemans, Rathi, Swinnen, Gooijers, Clauwaert, Bahr, Sandmo, Sochen, Kaufmann, Muehlmann, Biessels, Koerte, Pasternak (bib0055) 2022; 259
Radua, Vieta, Shinohara, Kochunov, Quidé, Green, Weickert, Weickert, Bruggemann, Kircher, Nenadić, Cairns, Seal, Schall, Henskens, Fullerton, Mowry, Pantelis, Lenroot, Cropley, Loughland, Scott, Wolf, Satterthwaite, Tan, Sim, Piras, Spalletta, Banaj, Pomarol-Clotet, Solanes, Albajes-Eizagirre, Canales-Rodríguez, Sarro, Di Giorgio, Bertolino, Stäblein, Oertel, Knöchel, Borgwardt, du Plessis, Yun, Kwon, Dannlowski, Hahn, Grotegerd, Alloza, Arango, Janssen, Díaz-Caneja, Jiang, Calhoun, Ehrlich, Yang, Cascella, Takayanagi, Sawa, Tomyshev, Lebedeva, Kaleda, Kirschner, Hoschl, Tomecek, Skoch, van Amelsvoort, Bakker, James, Preda, Weideman, Stein, Howells, Uhlmann, Temmingh, López-Jaramillo, Díaz-Zuluaga, Fortea, Martinez-Heras, Solana, Llufriu, Jahanshad, Thompson, Turner, van Erp (bib0157) 2020; 218
Casey, Cannonier, Conley, Cohen, Barch, Heitzeg, Soules, Teslovich, Dellarco, Garavan, Orr, Wager, Banich, Speer, Sutherland, Riedel, Dick, Bjork, Thomas, Chaarani, Mejia, Hagler, Daniela Cornejo, Sicat, Harms, Dosenbach, Rosenberg, Earl, Bartsch, Watts, Polimeni, Kuperman, Fair, Dale (bib0028) 2018; 32
Li, You, Wang, Peng, Yin, Qi, Ren, Hong (bib0116) 2021; 48
Caspi, Moffitt (bib0030) 2018; 175
Da-Ano, Masson, Lucia, Doré, Robin, Alfieri, Rousseau, Mervoyer, Reinhold, Castelli, De Crevoisier, Rameé, Pradier, Schick, Visvikis, Hatt (bib0048) 2020; 10
Bostami, Hillary, van der Horn, van der Naalt, Calhoun, Vergara (bib0018) 2022; 13
Ning, Bonet-Carne, Grussu, Sepehrband, Kaden, Veraart, Blumberg, Khoo, Palombo, Kokkinos, Alexander, Coll-Font, Scherrer, Warfield, Karayumak, Rathi, Koppers, Weninger, Ebert, Merhof, Moyer, Pietsch, Christiaens, Gomes Teixeira, Tournier, Schilling, Huo, Nath, Hansen, Blaber, Landman, Zhylka, Pluim, Parker, Rudrapatna, Evans, Charron, Jones, Tax (bib0143) 2020; 221
Sinha, Thomopoulos, Lam, Muir, Thompson (bib0176) 2021
Wachinger, Rieckmann, Pölsterl (bib0206) 2021; 67
Tafuri, Lombardi, Nigro, Urso, Monaco, Pantaleo, Diacono, De Blasi, Bellotti, Tangaro, Logroscino (bib0183) 2022; 16
Mueller, Weiner, Thal, Petersen, Jack, Jagust, Trojanowski, Toga, Beckett (bib0140) 2005; 1
Jovicich, Czanner, Greve, Haley, van der Kouwe, Gollub, Kennedy, Schmitt, Brown, Macfall, Fischl, Dale (bib0103) 2006; 30
Parekh, Vivek Bhalerao, John, Venkatasubramanian (bib0151) 2022; 264
Li, Zhang, Patil, Johnson (bib0117) 2021
Wengler, Cassidy, van der Pluijm, Weinstein, Abi-Dargham, van de Giessen, Horga (bib0209) 2021; 54
Choi, Y., Uh, Y., Yoo, J., Ha, J.-W., 2020. StarGAN v2: diverse image synthesis for multiple domains. https://doi.org/10.48550/arXiv.1912.01865
Dinsdale, Jenkinson, Namburete (bib0063) 2021; 228
Di Martino, Yan, Li, Denio, Castellanos, Alaerts, Anderson, Assaf, Bookheimer, Dapretto, Deen, Delmonte, Dinstein, Ertl-Wagner, Fair, Gallagher, Kennedy, Keown, Keysers, Lainhart, Lord, Luna, Menon, Minshew, Monk, Mueller, Müller, Nebel, Nigg, O'Hearn, Pelphrey, Peltier, Rudie, Sunaert, Thioux, Tyszka, Uddin, Verhoeven, Wenderoth, Wiggins, Mostofsky, Milham (bib0062) 2014; 19
Horng, Singh, Yousefi, Cohen, Haghighi, Katz, Noël, Kontos, Shinohara (bib0095) 2022; 12
Carré, Battistella, Niyoteka, Sun, Deutsch, Robert (bib0027) 2022; 12
Noble, Scheinost, Finn, Shen, Papademetris, McEwen, Bearden, Addington, Goodyear, Cadenhead, Mirzakhanian, Cornblatt, Olvet, Mathalon, McGlashan, Perkins, Belger, Seidman, Thermenos, Tsuang, van Erp, Walker, Hamann, Woods, Cannon, Constable (bib0144) 2017; 146
Tran, Ang, Chevrier, Zhang, Lee, Goh, Chen (bib0197) 2020; 21
Bijsterbosch, Harrison, Jbabdi, Woolrich, Beckmann, Smith, Duff (bib0015) 2020; 23
He, Carass, Zuo, Dewey, Prince (bib0085) 2021; 72
Grech-Sollars, Hales, Miyazaki, Raschke, Rodriguez, Wilson, Gill, Banks, Saunders, Clayden, Gwilliam, Barrick, Morgan, Davies, Rossiter, Auer, Grundy, Leach, Howe, Peet, Clark (bib0073) 2015; 28
Hagler, Hatton, Cornejo, Makowski, Fair, Dick, Sutherland, Casey, Barch, Harms, Watts, Bjork, Garavan, Hilmer, Pung, Sicat, Kuperman, Bartsch, Xue, Heitzeg, Laird, Trinh, Gonzalez, Tapert, Riedel, Squeglia, Hyde, Rosenberg, Earl, Howlett, Baker, Soules, Diaz, de Leon, Thompson, Neale, Herting, Sowell, Alvarez, Hawes, Sanchez, Bodurka, Breslin, Morris, Paulus, Simmons, Polimeni, van der Kouwe, Nencka, Gray, Pierpaoli, Matochik, Noronha, Aklin, Conway, Glantz, Hoffman, Little, Lopez, Pariyadath, Weiss, Wolff-Hughes, DelCarmen-Wiggins, Feldstein Ewing, Miranda-Dominguez, Nagel, Perrone, Sturgeon, Goldstone, Pfefferbaum, Pohl, Prouty, Uban, Bookheimer, Dapretto, Galvan, Bagot, Giedd, Infante, Jacobus, Patrick, Shilling, Desikan, Li, Sugrue, Banich, Friedman, Hewitt, Hopfer, Sakai, Tanabe, Cottler, Nixon, Chang, Cloak, Ernst, Reeves, Kennedy, Heeringa, Peltier, Schulenberg, Sripada, Zucker, Iacono, Luciana, Calabro, Clark, Lewis, Luna, Schirda, Brima, Foxe, Freedman, Mruzek, Mason, Huber, McGlade, Prescot, Renshaw, Yurgelun-Todd, Allgaier, Dumas, Ivanova, Potter, Florsheim, Larson, Lisdahl, Charness, Fuemmeler, Hettema, Maes, Steinberg, Anokhin, Glaser, Heath, Madden, Baskin-Sommers, Constable, Grant, Dowling, Brown, Jernigan, Dale (bib0079) 2019; 202
Hatton, Huynh, Bonilha, Abela, Alhusaini, Altmann, Alvim, Balachandra, Bartolini, Bender, Bernasconi, Bernasconi, Bernhardt, Bargallo, Caldairou, Caligiuri, Carr, Cavalleri, Cendes, Concha, Davoodi-Bojd, Desmond, Devinsky, Doherty, Domin, Duncan, Focke, Foley, Gambardella, Gleichgerrcht, Guerrini, Hamandi, Ishikawa, Keller, Kochunov, Kotikalapudi, Kreilkamp, Kwan, Labate, Langner, Lenge, Liu, Lui, Martin, Mascalchi, Moreira, Morita-Sherman, O'Brien, Pardoe, Pariente, Ribeiro, Richardson, Rocha, Rodríguez-Cruces, Rosenow, Severino, Sinclair, Soltanian-Zadeh, Striano, Taylor, Thomas, Tortora, Velakoulis, Vezzani, Vivash, von Podewils, Vos, Weber, Winston, Yasuda, Zhu, Thompson, Whelan, Jahanshad, Sisodiya, McDonald (bib0083) 2020; 143
Bell, Godfrey, Ware, Yeates, Harris (bib
Qin (10.1016/j.neuroimage.2023.120125_bib0156) 2022; 148
Marek (10.1016/j.neuroimage.2023.120125_bib0129) 2019; 40
Kent (10.1016/j.neuroimage.2023.120125_bib0106) 2009; 40
Sun (10.1016/j.neuroimage.2023.120125_bib0181) 2022; 261
10.1016/j.neuroimage.2023.120125_bib0041
Treit (10.1016/j.neuroimage.2023.120125_bib0198) 2022; 13
10.1016/j.neuroimage.2023.120125_bib0160
10.1016/j.neuroimage.2023.120125_bib0034
Hong (10.1016/j.neuroimage.2023.120125_bib0092) 2022; 158
Sohn (10.1016/j.neuroimage.2023.120125_bib0178) 2015
Cetin Karayumak (10.1016/j.neuroimage.2023.120125_bib0032) 2019; 184
van de Bank (10.1016/j.neuroimage.2023.120125_bib0200) 2015; 28
Cao (10.1016/j.neuroimage.2023.120125_bib0026) 2022
Bijsterbosch (10.1016/j.neuroimage.2023.120125_bib0015) 2020; 23
van Erp (10.1016/j.neuroimage.2023.120125_bib0202) 2014; 222
Zhong (10.1016/j.neuroimage.2023.120125_bib0224) 2020; 19
Avants (10.1016/j.neuroimage.2023.120125_bib0005) 2008; 12
10.1016/j.neuroimage.2023.120125_bib0023
10.1016/j.neuroimage.2023.120125_bib0142
Da-Ano (10.1016/j.neuroimage.2023.120125_bib0048) 2020; 10
Li (10.1016/j.neuroimage.2023.120125_bib0119) 2021; 13
Pagani (10.1016/j.neuroimage.2023.120125_bib0150) 2023; 270
Bostami (10.1016/j.neuroimage.2023.120125_bib0018) 2022; 13
Fortin (10.1016/j.neuroimage.2023.120125_bib0068) 2018; 167
Chen (10.1016/j.neuroimage.2023.120125_bib0040) 2022
Yao (10.1016/j.neuroimage.2023.120125_bib0219) 2022
Richter (10.1016/j.neuroimage.2023.120125_bib0161) 2022; 2
Aderghal (10.1016/j.neuroimage.2023.120125_bib0002) 2020; 6
Jenkinson (10.1016/j.neuroimage.2023.120125_bib0101) 2002; 17
Tariot (10.1016/j.neuroimage.2023.120125_bib0188) 2011; 68
Crombé (10.1016/j.neuroimage.2023.120125_bib0046) 2020; 10
Gutierrez (10.1016/j.neuroimage.2023.120125_bib0077) 2023
Bayer (10.1016/j.neuroimage.2023.120125_bib0010) 2022; 13
Hatton (10.1016/j.neuroimage.2023.120125_bib0083) 2020; 143
Ihalainen (10.1016/j.neuroimage.2023.120125_bib0098) 2004; 14
Jovicich (10.1016/j.neuroimage.2023.120125_bib0103) 2006; 30
Cash (10.1016/j.neuroimage.2023.120125_bib0029) 2014; 6
Hognon (10.1016/j.neuroimage.2023.120125_bib0091) 2019
Bordin (10.1016/j.neuroimage.2023.120125_bib0016) 2021; 237
Mirzaalian (10.1016/j.neuroimage.2023.120125_bib0138) 2018; 12
Hawco (10.1016/j.neuroimage.2023.120125_bib0084) 2022; 9
Liu (10.1016/j.neuroimage.2023.120125_bib0122) 2021
He (10.1016/j.neuroimage.2023.120125_bib0085) 2021; 72
Zhu (10.1016/j.neuroimage.2023.120125_bib0225) 2017
Poldrack (10.1016/j.neuroimage.2023.120125_bib0153) 2014; 17
Da-Ano (10.1016/j.neuroimage.2023.120125_bib0049) 2020; 65
Wrobel (10.1016/j.neuroimage.2023.120125_bib0212) 2020; 223
Ingalhalikar (10.1016/j.neuroimage.2023.120125_bib0099) 2021; 68
Orlhac (10.1016/j.neuroimage.2023.120125_bib0149) 2021; 31
Feis (10.1016/j.neuroimage.2023.120125_bib0066) 2015; 9
Mueller (10.1016/j.neuroimage.2023.120125_bib0140) 2005; 1
Horn (10.1016/j.neuroimage.2023.120125_bib0094) 2004; 7
Kieselmann (10.1016/j.neuroimage.2023.120125_bib0109) 2021; 48
De Stefano (10.1016/j.neuroimage.2023.120125_bib0056) 2022; 34
10.1016/j.neuroimage.2023.120125_bib0111
Ma (10.1016/j.neuroimage.2023.120125_bib0125) 2019; 40
Brown (10.1016/j.neuroimage.2023.120125_bib0021) 2020; 208
Hernández (10.1016/j.neuroimage.2023.120125_bib0088) 2004; 57
10.1016/j.neuroimage.2023.120125_bib0118
McKeown (10.1016/j.neuroimage.2023.120125_bib0131) 2003; 13
Parekh (10.1016/j.neuroimage.2023.120125_bib0151) 2022; 264
Saponaro (10.1016/j.neuroimage.2023.120125_bib0167) 2022; 35
Ciric (10.1016/j.neuroimage.2023.120125_bib0043) 2017; 154
Mckeown (10.1016/j.neuroimage.2023.120125_bib0132) 1998; 6
Takao (10.1016/j.neuroimage.2023.120125_bib0185) 2011; 34
Polman (10.1016/j.neuroimage.2023.120125_bib0154) 2006; 354
Whitney (10.1016/j.neuroimage.2023.120125_bib0211) 2020; 7
Dewey (10.1016/j.neuroimage.2023.120125_bib0061) 2020
Deng (10.1016/j.neuroimage.2023.120125_bib0058) 2009
Li (10.1016/j.neuroimage.2023.120125_bib0120) 2019; 7
Noble (10.1016/j.neuroimage.2023.120125_bib0144) 2017; 146
Tafuri (10.1016/j.neuroimage.2023.120125_bib0183) 2022; 16
Bethlehem (10.1016/j.neuroimage.2023.120125_bib0014) 2022; 604
Nyúl (10.1016/j.neuroimage.2023.120125_bib0146) 1999; 42
Mirzaalian (10.1016/j.neuroimage.2023.120125_bib0136) 2015; 9349
Radua (10.1016/j.neuroimage.2023.120125_bib0157) 2020; 218
10.1016/j.neuroimage.2023.120125_bib0222
10.1016/j.neuroimage.2023.120125_bib0108
10.1016/j.neuroimage.2023.120125_bib0105
Shinohara (10.1016/j.neuroimage.2023.120125_bib0173) 2017; 38
Salimi-Khorshidi (10.1016/j.neuroimage.2023.120125_bib0166) 2014; 90
van Dyck (10.1016/j.neuroimage.2023.120125_bib0201) 2023; 388
Roffet (10.1016/j.neuroimage.2023.120125_bib0162) 2022; 12
Zavaliangos-Petropulu (10.1016/j.neuroimage.2023.120125_bib0221) 2019; 13
Tixier (10.1016/j.neuroimage.2023.120125_bib0193) 2021; 66
Byrge (10.1016/j.neuroimage.2023.120125_bib0022) 2022; 43
Tustison (10.1016/j.neuroimage.2023.120125_bib0199) 2010; 29
Barth (10.1016/j.neuroimage.2023.120125_bib0007) 2022
Pinto (10.1016/j.neuroimage.2023.120125_bib0152) 2020; 14
De Luca (10.1016/j.neuroimage.2023.120125_bib0055) 2022; 259
Larivière (10.1016/j.neuroimage.2023.120125_bib0114) 2022; 13
Acquitter (10.1016/j.neuroimage.2023.120125_bib0001) 2022; 14
Caspi (10.1016/j.neuroimage.2023.120125_bib0030) 2018; 175
Yu (10.1016/j.neuroimage.2023.120125_bib0220) 2018; 39
Mikl (10.1016/j.neuroimage.2023.120125_bib0135) 2008; 26
Crombé (10.1016/j.neuroimage.2023.120125_bib0045) 2021; 54
Garcia-Dias (10.1016/j.neuroimage.2023.120125_bib0072) 2020; 220
Yamashita (10.1016/j.neuroimage.2023.120125_bib0217) 2019; 17
Denck (10.1016/j.neuroimage.2023.120125_bib0057) 2021; 16
Neuhaus (10.1016/j.neuroimage.2023.120125_bib0141) 1998; 93
Satterthwaite (10.1016/j.neuroimage.2023.120125_bib0168) 2014; 86
Castaldo (10.1016/j.neuroimage.2023.120125_bib0031) 2022; 12
de Brito Robalo (10.1016/j.neuroimage.2023.120125_bib0053) 2021; 32
Pomponio (10.1016/j.neuroimage.2023.120125_bib0155) 2020; 208
Griffanti (10.1016/j.neuroimage.2023.120125_bib0074) 2014; 95
Chen (10.1016/j.neuroimage.2023.120125_bib0039) 2020; 217
Clarke (10.1016/j.neuroimage.2023.120125_bib0044) 2020; 206
Shao (10.1016/j.neuroimage.2023.120125_bib0172) 2022
Höfler (10.1016/j.neuroimage.2023.120125_bib0090) 2005; 5
Ravano (10.1016/j.neuroimage.2023.120125_bib0158) 2022
Jahanshad (10.1016/j.neuroimage.2023.120125_bib0100) 2013; 81
Kurokawa (10.1016/j.neuroimage.2023.120125_bib0113) 2021; 245
Chen (10.1016/j.neuroimage.2023.120125_bib0036) 2022; 43
Guan (10.1016/j.neuroimage.2023.120125_bib0076) 2021; 71
Xia (10.1016/j.neuroimage.2023.120125_bib0214) 2019; 189
Chang (10.1016/j.neuroimage.2023.120125_bib0035) 2022; 67
Tran (10.1016/j.neuroimage.2023.120125_bib0197) 2020; 21
Van Essen (10.1016/j.neuroimage.2023.120125_bib0203) 2013; 80
Koike (10.1016/j.neuroimage.2023.120125_bib0112) 2021; 30
Shinohara (10.1016/j.neuroimage.2023.120125_bib0174) 2014; 6
Reardon (10.1016/j.neuroimage.2023.120125_bib0159) 2021; 15
Badhwar (10.1016/j.neuroimage.2023.120125_bib0006) 2020; 205
Onicas (10.1016/j.neuroimage.2023.120125_bib0147) 2022; 13
Wachinger (10.1016/j.neuroimage.2023.120125_bib0206) 2021; 67
Campello (10.1016/j.neuroimage.2023.120125_bib0025) 2022; 12
Meeter (10.1016/j.neuroimage.2023.120125_bib0133) 2017; 13
Suttorp (10.1016/j.neuroimage.2023.120125_bib0182) 2015; 30
Tong (10.1016/j.neuroimage.2023.120125_bib0195) 2020; 73
Fortin (10.1016/j.neuroimage.2023.120125_bib0069) 2017; 161
Avalos-Pacheco (10.1016/j.neuroimage.2023.120125_bib0004) 2022; 17
Hernández (10.1016/j.neuroimage.2023.120125_bib0087) 2006; 16
Kim (10.1016/j.neuroimage.2023.120125_bib0110) 2022; 14
Eshaghzadeh Torbati (10.1016/j.neuroimage.2023.120125_bib0064) 2021; 245
Zindler (10.1016/j.neuroimage.2023.120125_bib0226) 2020; 21
Cai (10.1016/j.neuroimage.2023.120125_bib0024) 2021; 86
Yamashita (10.1016/j.neuroimage.2023.120125_bib0216) 2020; 18
Fatania (10.1016/j.neuroimage.2023.120125_bib0065) 2022; 22
Wengler (10.1016/j.neuroimage.2023.120125_bib0209) 2021; 54
Mirzaalian (10.1016/j.neuroimage.2023.120125_bib0137) 2016; 135
Dinsdale (10.1016/j.neuroimage.2023.120125_bib0063) 2021; 228
Bashyam (10.1016/j.neuroimage.2023.120125_bib0008) 2022; 55
Han (10.1016/j.neuroimage.2023.120125_bib0080) 2006; 32
Moyer (10.1016/j.neuroimage.2023.120125_bib0139) 2020; 84
Zuo (10.1016/j.neuroimage.2023.120125_bib0227) 2021; 243
Dar (10.1016/j.neuroimage.2023.120125_bib0051) 2020; 84
Meyers (10.1016/j.neuroimage.2023.120125_bib0134) 2022; 2
Keshavan (10.1016/j.neuroimage.2023.120125_bib0107) 2016; 134
Nygaard (10.1016/j.neuroimage.2023.120125_bib0145) 2016; 17
Wang (10.1016/j.neuroimage.2023.120125_bib0207) 1998; 39
Liu (10.1016/j.neuroimage.2023.120125_bib0123) 2020; 14
Cetin-Karayumak (10.1016/j.neuroimage.2023.120125_bib0033) 2020; 25
Maikusa (10.1016/j.neuroimage.2023.120125_bib0126) 2021; 42
Tondelli (10.1016/j.neuroimage.2023.120125_bib0194) 2020; 11
Dercle (10.1016/j.neuroimage.2023.120125_bib0059) 2022; 8
Johnson (10.1016/j.neuroimage.2023.120125_bib0102) 2007; 8
Horien (10.1016/j.neuroimage.2023.120125_bib0093) 2021; 5
Dar (10.1016/j.neuroimage.2023.120125_bib0052) 2019; 38
Tanaka (10.1016/j.neuroimage.2023.120125_bib0186) 2021; 8
Guan (10.1016/j.neuroimage.2023.120125_bib0075) 2022; 13583
Luna (10.1016/j.neuroimage.2023.120125_bib0124) 2021; 42
Beer (10.1016/j.neuroimage.2023.120125_bib0011) 2020; 220
Thomopoulos (10.1016/j.neuroimage.2023.120125_bib0191) 2021
Hansen (10.1016/j.neuroimage.2023.120125_bib0081) 2022; 93
Rosenbaum (10.1016/j.neuroimage.2023.120125_bib0163) 1983; 70
Mårtensson (10.1016/j.neuroimage.2023.120125_bib0130) 2020; 66
Dewey (10.1016/j.neuroimage.2023.120125_bib0060) 2019; 64
Gray (10.1016/j.neuroimage.2023.120125_bib0148) 2009; 40
Saunders (10.1016/j.neuroimage.2023.120125_bib0169) 2016; 17
10.1016/j.neuroimage.2023.120125_bib0196
Marek (10.1016/j.neuroimage.2023.120125_bib0128) 2022
Da-Ano (10.1016/j.neuroimage.2023.120125_bib0047) 2021; 16
Leithner (10.1016/j.neuroimage.2023.120125_bib0115) 2022
Rothman (10.1016/j.neuroimage.2023.120125_bib0164) 2008
Yamashita (10.1016/j.neuroimage.2023.120125_bib0215) 2021; 12
Bell (10.1016/j.neuroimage.2023.120125_bib
References_xml – volume: 264
  year: 2022
  ident: bib0009
  article-title: Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models
  publication-title: Neuroimage
– volume: 42
  start-page: 4568
  year: 2021
  end-page: 4579
  ident: bib0124
  article-title: Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth
  publication-title: Hum. Brain Mapp.
– volume: 143
  start-page: 2454
  year: 2020
  end-page: 2473
  ident: bib0083
  article-title: White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study
  publication-title: Brain: J. Neurol.
– volume: 32
  start-page: 180
  year: 2006
  end-page: 194
  ident: bib0080
  article-title: Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer
  publication-title: Neuroimage
– year: 2015
  ident: bib0178
  article-title: Learning structured output representation using deep conditional generative models
  publication-title: Advances in Neural Information Processing Systems
– reference: Cetin-Karayumak, S., Stegmayer, K., Walther, S., Szeszko, P.R., Crow, T., James, A., Keshavan, M., Kubicki, M., Rathi, Y., 2020b. Exploring the limits of ComBat method for multi-site diffusion MRI harmonization. https://doi.org/10.1101/2020.11.20.390120
– volume: 95
  start-page: 232
  year: 2014
  end-page: 247
  ident: bib0074
  article-title: ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
  publication-title: Neuroimage
– volume: 27
  start-page: 1384
  year: 2022
  end-page: 1393
  ident: bib0213
  article-title: Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes
  publication-title: Mol. Psychiatry
– volume: 158
  start-page: 114
  year: 2022
  end-page: 125
  ident: bib0092
  article-title: General psychopathology factor (p-factor) prediction using resting-state functional connectivity and a scanner-generalization neural network
  publication-title: J. Psychiatr. Res.
– volume: 40
  start-page: 888
  year: 2009
  end-page: 894
  ident: bib0148
  article-title: Should stroke trials adjust functional outcome for baseline prognostic factors?
  publication-title: Stroke
– reference: Li, X., Ai, L., Giavasis, S., Jin, H., Feczko, E., Xu, T., Clucas, J., Franco, A., Heinsfeld, A.S., Adebimpe, A., Vogelstein, J.T., Yan, C.-G., Esteban, O., Poldrack, R.A., Craddock, C., Fair, D., Satterthwaite, T., Kiar, G., Milham, M.P., 2022. Moving beyond processing and analysis-related variation in neuroscience. https://doi.org/10.1101/2021.12.01.470790
– volume: 154
  start-page: 174
  year: 2017
  end-page: 187
  ident: bib0043
  article-title: Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity
  publication-title: Neuroimage
– volume: 206
  year: 2020
  ident: bib0044
  article-title: Multi-site harmonization of 7 tesla MRI neuroimaging protocols
  publication-title: Neuroimage
– year: 2022
  ident: bib0172
  article-title: Evaluating the impact of MR image harmonization on thalamus deep network segmentation
  publication-title: Proceedings of SPIE–the International Society for Optical Engineering 12032
– reference: Reynolds, M., Chaudhary, T., Torbati, M.E., Tudorascu, D.L., Batmanghelich, K., Initiative, the A.D.N., 2022. ComBat harmonization: empirical bayes versus fully Bayes approaches. https://doi.org/10.1101/2022.07.13.499561
– volume: 208
  year: 2020
  ident: bib0021
  article-title: Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies
  publication-title: Neuroimage
– volume: 28
  start-page: 306
  year: 2015
  end-page: 316
  ident: bib0200
  article-title: Multi-center reproducibility of neurochemical profiles in the human brain at 7 T
  publication-title: NMR Biomed.
– start-page: 537
  year: 2022
  end-page: 540
  ident: bib0017
  article-title: Multi-site mild traumatic brain injury classification with machine learning and harmonization
  publication-title: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2022
– volume: 13
  year: 2022
  ident: bib0010
  article-title: Site effects how-to and when: an overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses
  publication-title: Front. Neurol.
– volume: 175
  start-page: 831
  year: 2018
  end-page: 844
  ident: bib0030
  article-title: All for one and one for all: mental disorders in one dimension
  publication-title: Am. J. Psychiatry
– volume: 18
  year: 2020
  ident: bib0216
  article-title: Generalizable brain network markers of major depressive disorder across multiple imaging sites
  publication-title: PLoS Biol.
– volume: 12
  start-page: 4493
  year: 2022
  ident: bib0096
  article-title: Generalized ComBat harmonization methods for radiomic features with multi-modal distributions and multiple batch effects
  publication-title: Sci. Rep.
– volume: 12
  start-page: 12762
  year: 2022
  ident: bib0027
  article-title: AutoComBat: a generic method for harmonizing MRI-based radiomic features
  publication-title: Sci. Rep.
– volume: 12
  start-page: 21505
  year: 2022
  ident: bib0175
  article-title: Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans
  publication-title: Sci. Rep.
– start-page: 255
  year: 2019
  end-page: 263
  ident: bib0218
  article-title: Unsupervised domain adaptation via disentangled representations: application to cross-modality liver segmentation
  publication-title: Medical Image Computing and Computer-Assisted Intervention: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention 11765
– volume: 13
  start-page: 3000
  year: 2021
  ident: bib0119
  article-title: Impact of preprocessing and harmonization methods on the removal of scanner effects in brain MRI radiomic features
  publication-title: Cancers
– volume: 12
  start-page: 1219
  year: 2022
  ident: bib0162
  article-title: Assessing multi-site rs-fMRI-based connectomic harmonization using information theory
  publication-title: Brain Sci.
– volume: 28
  start-page: 468
  year: 2015
  end-page: 485
  ident: bib0073
  article-title: Multi-centre reproducibility of diffusion MRI parameters for clinical sequences in the brain
  publication-title: NMR Biomed.
– volume: 9
  start-page: 395
  year: 2015
  ident: bib0066
  article-title: ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI
  publication-title: Front. Neurosci.
– reference: Nielson, D.M., Pereira, F., Zheng, C.Y., Migineishvili, N., Lee, J.A., Thomas, A.G., Bandettini, P.A., 2018. Detecting and harmonizing scanner differences in the ABCD study - annual release 1.0. https://doi.org/10.1101/309260
– volume: 7
  year: 2020
  ident: bib0211
  article-title: Harmonization of radiomic features of breast lesions across international DCE-MRI datasets
  publication-title: J. Med. Imaging
– volume: 7
  start-page: 71398
  year: 2019
  end-page: 71411
  ident: bib0120
  article-title: Fast and robust diffusion Kurtosis parametric mapping using a three-dimensional convolutional neural network
  publication-title: IEEE Access
– volume: 16
  start-page: 2069
  year: 2021
  end-page: 2078
  ident: bib0057
  article-title: MR-contrast-aware image-to-image translations with generative adversarial networks
  publication-title: Int. J. Comput. Assisted Radiol. Surg.
– volume: 12
  start-page: 12532
  year: 2022
  ident: bib0025
  article-title: Minimising multi-centre radiomics variability through image normalisation: a pilot study
  publication-title: Sci. Rep.
– volume: 12
  start-page: 19009
  year: 2022
  ident: bib0095
  article-title: Improved generalized ComBat methods for harmonization of radiomic features
  publication-title: Sci. Rep.
– volume: 8
  year: 2014
  ident: bib0042
  article-title: Big data, open science and the brain: lessons learned from genomics
  publication-title: Front. Hum. Neurosci.
– volume: 40
  start-page: 1507
  year: 2019
  end-page: 1527
  ident: bib0125
  article-title: Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database
  publication-title: Hum. Brain Mapp.
– year: 2023
  ident: bib0077
  article-title: Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients
  publication-title: Int. J. Comput. Assisted Radiol. Surg.
– volume: 14
  year: 2020
  ident: bib0152
  article-title: Harmonization of brain diffusion MRI: concepts and methods
  publication-title: Front. Neurosci.
– volume: 13
  year: 2022
  ident: bib0198
  article-title: Lifespan volume trajectories from non-harmonized T1-weighted MRI do not differ after site correction based on traveling human phantoms
  publication-title: Front. Neurol.
– volume: 220
  year: 2020
  ident: bib0011
  article-title: Longitudinal ComBat: a method for harmonizing longitudinal multi-scanner imaging data
  publication-title: Neuroimage
– volume: 183
  start-page: 972
  year: 2018
  end-page: 984
  ident: bib0082
  article-title: Extending the human connectome project across ages: imaging protocols for the lifespan development and aging projects
  publication-title: Neuroimage
– volume: 70
  start-page: 41
  year: 1983
  end-page: 55
  ident: bib0163
  article-title: The central role of the propensity score in observational studies for causal effects
  publication-title: Biometrika
– volume: 6
  start-page: 9
  year: 2014
  end-page: 19
  ident: bib0174
  article-title: Statistical normalization techniques for magnetic resonance imaging
  publication-title: NeuroImage: Clin.
– reference: Torbati, M.E., Minhas, D.S., Laymon, C.M., Maillard, P., Wilson, J.D., Chen, C.-L., Crainiceanu, C.M., DeCarli, C.S., Hwang, S.J., Tudorascu, D.L., 2022. MISPEL: a deep learning approach for harmonizing multi-scanner matched neuroimaging data. https://doi.org/10.1101/2022.07.27.501786
– volume: 54
  start-page: 1189
  year: 2021
  end-page: 1199
  ident: bib0209
  article-title: Cross-scanner harmonization of neuromelanin-sensitive MRI for multisite studies
  publication-title: J. Magn. Reson. Imaging
– volume: 64
  start-page: 160
  year: 2019
  end-page: 170
  ident: bib0060
  article-title: DeepHarmony: a deep learning approach to contrast harmonization across scanner changes
  publication-title: Magn. Reson. Imaging
– volume: 13
  year: 2022
  ident: bib0147
  article-title: Multisite harmonization of structural DTI networks in children: an A-CAP study
  publication-title: Front. Neurol.
– reference: Kia, S.M., Huijsdens, H., Dinga, R., Wolfers, T., Mennes, M., Andreassen, O.A., Westlye, L.T., Beckmann, C.F., Marquand, A.F., 2020. Hierarchical Bayesian regression for multi-site normative modeling of neuroimaging data. https://doi.org/10.48550/arXiv.2005.12055
– volume: 39
  start-page: 1180
  year: 2008
  end-page: 1185
  ident: bib0180
  article-title: Interpreting scan data acquired from multiple scanners: a study with Alzheimer's disease
  publication-title: Neuroimage
– reference: Tang, H., Xu, D., Sebe, N., Yan, Y., 2019. Attention-guided generative adversarial networks for unsupervised image-to-image translation. https://doi.org/10.48550/arXiv.1903.12296
– volume: 17
  start-page: 116
  year: 2016
  ident: bib0169
  article-title: Oxford Lithium Trial (OxLith) of the early affective, cognitive, neural and biochemical effects of lithium carbonate in bipolar disorder: study protocol for a randomised controlled trial
  publication-title: Trials
– volume: 10
  start-page: 10248
  year: 2020
  ident: bib0048
  article-title: Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies
  publication-title: Sci. Rep.
– volume: 34
  start-page: 438
  year: 2011
  end-page: 444
  ident: bib0185
  article-title: Effect of scanner in longitudinal studies of brain volume changes
  publication-title: J. Magn. Reson. Imaging
– start-page: 313
  year: 2021
  end-page: 322
  ident: bib0122
  article-title: Style transfer using generative adversarial networks for multi-site MRI harmonization
  publication-title: Medical image computing and computer-assisted intervention: MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 12903
– volume: 55
  start-page: 908
  year: 2022
  end-page: 916
  ident: bib0008
  article-title: Deep generative medical image harmonization for improving cross-site generalization in deep learning predictors
  publication-title: J. Magnet. Reson. Imaging: JMRI
– volume: 84
  start-page: 2174
  year: 2020
  end-page: 2189
  ident: bib0139
  article-title: Scanner invariant representations for diffusion MRI harmonization
  publication-title: Magn. Reson. Med.
– volume: 322
  start-page: 336
  year: 2019
  end-page: 347
  ident: bib0204
  article-title: Neuroimaging findings in US government personnel with possible exposure to directional phenomena in Havana, Cuba
  publication-title: JAMA
– volume: 222
  start-page: 10
  year: 2014
  end-page: 16
  ident: bib0202
  article-title: A multi-scanner study of subcortical brain volume abnormalities in schizophrenia
  publication-title: Psychiatry Res.
– reference: Cackowski, S., Barbier, E.L., Dojat, M., Christen, T., 2021. ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization
– volume: 9349
  start-page: 12
  year: 2015
  end-page: 19
  ident: bib0136
  article-title: Harmonizing diffusion MRI data across multiple sites and scanners
  publication-title: Medical image computing and computer-assisted intervention: MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
– volume: 12
  year: 2021
  ident: bib0215
  article-title: Common brain networks between major depressive-disorder diagnosis and symptoms of depression that are validated for independent cohorts
  publication-title: Front. Psychiatry
– volume: 14
  start-page: 1859
  year: 2004
  end-page: 1865
  ident: bib0098
  article-title: MRI quality control: six imagers studied using eleven unified image quality parameters
  publication-title: Eur. Radiol.
– volume: 10
  start-page: 4987
  year: 2021
  ident: bib0190
  article-title: Same brain, different look?-The impact of scanner, sequence and preprocessing on diffusion imaging outcome parameters
  publication-title: J. Clin. Med.
– volume: 32
  start-page: 43
  year: 2018
  end-page: 54
  ident: bib0028
  article-title: The Adolescent Brain Cognitive Development (ABCD) study: imaging acquisition across 21 sites
  publication-title: Dev. Cognit. Neurosci.
– start-page: 1099
  year: 2022
  end-page: 1108
  ident: bib0171
  article-title: Cross-vendor CT image data harmonization using CVH-CT
  publication-title: AMIA Annual Symposium Proceedings 2021
– volume: 18
  start-page: 661
  year: 2021
  end-page: 672
  ident: bib0170
  article-title: Uses of human MR and PET imaging in research of neurodegenerative brain diseases
  publication-title: Neurotherapeutics
– year: 2022
  ident: bib0026
  article-title: Deep Learning for Breast MRI Style Transfer with Limited Training Data
  publication-title: J. Digit. Imaging
– volume: 124
  start-page: 442
  year: 2016
  end-page: 454
  ident: bib0104
  article-title: Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: a multicentric resting-state fMRI study
  publication-title: Neuroimage
– year: 2022
  ident: bib0007
  article-title: In vivo white matter microstructure in adolescents with early-onset psychosis: a multi-site mega-analysis
  publication-title: Mol. Psychiatry
– volume: 13
  start-page: 4320
  year: 2022
  ident: bib0114
  article-title: Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression
  publication-title: Nat. Commun.
– volume: 39
  start-page: 322
  year: 1998
  end-page: 327
  ident: bib0207
  article-title: Correction for variations in MRI scanner sensitivity in brain studies with histogram matching
  publication-title: Magn. Reson. Med.
– volume: 205
  year: 2020
  ident: bib0006
  article-title: Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors
  publication-title: Neuroimage
– volume: 604
  start-page: 525
  year: 2022
  end-page: 533
  ident: bib0014
  article-title: Brain charts for the human lifespan
  publication-title: Nature
– year: 2021
  ident: bib0117
  article-title: Overcoming the impacts of two-step batch effect correction on gene expression estimation and inference
  publication-title: Biostat. kxab039
– volume: 13
  start-page: 5672
  year: 2021
  ident: bib0019
  article-title: Development of a radiomic-based model predicting lymph node involvement in prostate cancer patients
  publication-title: Cancers
– volume: 48
  start-page: 6962
  year: 2021
  end-page: 6975
  ident: bib0116
  article-title: IAS-NET: joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation
  publication-title: Med. Phys.
– year: 2022
  ident: bib0040
  article-title: Four distinct subtypes of Alzheimer's disease based on resting-state connectivity biomarkers
  publication-title: Biol. Psychiatry
– volume: 6
  start-page: e05652
  year: 2020
  ident: bib0002
  article-title: Improving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities
  publication-title: Heliyon
– volume: 14
  year: 2020
  ident: bib0123
  article-title: A 3D fully convolutional neural network with top-down attention-guided refinement for accurate and robust automatic segmentation of amygdala and its subnuclei
  publication-title: Front. Neurosci.
– reference: Kingma, D.P., Welling, M., 2014. Auto-encoding variational Bayes
– volume: 21
  start-page: 271
  year: 2020
  ident: bib0226
  article-title: Simulating ComBat: how batch correction can lead to the systematic introduction of false positive results in DNA methylation microarray studies
  publication-title: BMC Bioinf.
– volume: 14
  year: 2022
  ident: bib0110
  article-title: Harmonization of multicenter cortical thickness data by linear mixed effect model
  publication-title: Front. Aging Neurosci.
– volume: 11
  start-page: 622
  year: 2020
  ident: bib0194
  article-title: Valproate use is associated with posterior cortical thinning and ventricular enlargement in epilepsy patients
  publication-title: Front. Neurol.
– volume: 93
  start-page: 1124
  year: 1998
  end-page: 1129
  ident: bib0141
  article-title: Estimation efficiency with omitted covariates in generalized linear models
  publication-title: J. Am. Statist. Assoc.
– volume: 148
  year: 2022
  ident: bib0156
  article-title: Style transfer in conditional GANs for cross-modality synthesis of brain magnetic resonance images
  publication-title: Comput. Biol. Med.
– volume: 13
  year: 2019
  ident: bib0221
  article-title: Diffusion MRI indices and their relation to cognitive impairment in brain aging: the updated multi-protocol approach in ADNI3
  publication-title: Front. Neuroinformat.
– volume: 14
  start-page: 286
  year: 2022
  ident: bib0001
  article-title: Radiomics-based detection of radionecrosis using harmonized multiparametric MRI
  publication-title: Cancers
– volume: 388
  start-page: 9
  year: 2023
  end-page: 21
  ident: bib0201
  article-title: Lecanemab in early Alzheimer's disease
  publication-title: N. Engl. J. Med.
– volume: 218
  year: 2020
  ident: bib0157
  article-title: Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA
  publication-title: Neuroimage
– volume: 32
  year: 2021
  ident: bib0053
  article-title: Diffusion MRI harmonization enables joint-analysis of multicentre data of patients with cerebral small vessel disease
  publication-title: NeuroImage: Clin.
– volume: 54
  start-page: 537
  year: 2021
  end-page: 548
  ident: bib0045
  article-title: Assessment of repeatability, reproducibility, and performances of T2 mapping-based radiomics features: a comparative study
  publication-title: J. Magn. Reson. Imaging
– volume: 86
  start-page: 544
  year: 2014
  end-page: 553
  ident: bib0168
  article-title: Neuroimaging of the Philadelphia neurodevelopmental cohort
  publication-title: Neuroimage
– volume: 1
  start-page: 55
  year: 2005
  end-page: 66
  ident: bib0140
  article-title: Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI)
  publication-title: Alzheimer's Dement.
– volume: 270
  start-page: 446
  year: 2023
  end-page: 459
  ident: bib0150
  article-title: Multicenter data harmonization for regional brain atrophy and application in multiple sclerosis
  publication-title: J. Neurol.
– volume: 31
  start-page: 6001
  year: 2021
  end-page: 6012
  ident: bib0071
  article-title: Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers
  publication-title: Eur. Radiol.
– year: 2022
  ident: bib0115
  article-title: Impact of ComBat harmonization on PET radiomics-based tissue classification: a dual-center PET/MR and PET/CT study
  publication-title: J. Nucl. Med.: Off. Publ., Soc. Nucl. Med.
– volume: 38
  start-page: 1501
  year: 2017
  end-page: 1509
  ident: bib0173
  article-title: Volumetric analysis from a harmonized multisite brain MRI study of a single subject with multiple sclerosis
  publication-title: Am. J. Neuroradiol.
– year: 2022
  ident: bib0219
  article-title: A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation
  publication-title: IEEE J. Biomed. Health Informat. PP
– volume: 217
  year: 2020
  ident: bib0039
  article-title: Generalization of diffusion magnetic resonance imagingbased brain age prediction model through transfer learning
  publication-title: Neuroimage
– year: 2021
  ident: bib0176
  article-title: Alzheimer's disease classification accuracy is improved by MRI harmonization based on attention-guided generative adversarial networks
  publication-title: Proceedings of SPIE–the International Society for Optical Engineering 12088, 120880L
– volume: 16
  start-page: 41
  year: 2006
  end-page: 48
  ident: bib0087
  article-title: Randomized controlled trials with time-to-event outcomes: how much does prespecified covariate adjustment increase power?
  publication-title: Ann. Epidemiol.
– start-page: 166
  year: 2021
  end-page: 179
  ident: bib0191
  article-title: Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches
  publication-title: 17th International Symposium on Medical Information Processing and Analysis. SPIE
– volume: 8
  start-page: 227
  year: 2021
  ident: bib0186
  article-title: A multi-site, multi-disorder resting-state magnetic resonance image database
  publication-title: Sci. Data
– volume: 237
  year: 2021
  ident: bib0016
  article-title: Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets
  publication-title: Neuroimage
– volume: 221
  year: 2020
  ident: bib0143
  article-title: Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and results
  publication-title: Neuroimage
– volume: 22
  start-page: 115
  year: 2022
  end-page: 122
  ident: bib0065
  article-title: Harmonisation of scanner-dependent contrast variations in magnetic resonance imaging for radiation oncology, using style-blind auto-encoders
  publication-title: Phys. Imaging Radiat. Oncol.
– volume: 354
  start-page: 899
  year: 2006
  end-page: 910
  ident: bib0154
  article-title: A randomized, placebo-controlled trial of natalizumab for relapsing multiple sclerosis
  publication-title: N. Engl. J. Med.
– start-page: 1
  year: 2022
  end-page: 7
  ident: bib0128
  article-title: Reproducible brain-wide association studies require thousands of individuals
  publication-title: Nature
– volume: 189
  start-page: 700
  year: 2019
  end-page: 714
  ident: bib0214
  article-title: Reproducibility of functional brain alterations in major depressive disorder: evidence from a multisite resting-state functional MRI study with 1,434 individuals
  publication-title: Neuroimage
– volume: 223
  year: 2020
  ident: bib0212
  article-title: Intensity warping for multisite MRI harmonization
  publication-title: Neuroimage
– volume: 8
  start-page: 385
  year: 2022
  end-page: 392
  ident: bib0059
  article-title: Early readout on overall survival of patients with melanoma treated with immunotherapy using a novel imaging analysis
  publication-title: JAMA Oncol.
– volume: 248
  year: 2022
  ident: bib0037
  article-title: Privacy-preserving harmonization via distributed ComBat
  publication-title: Neuroimage
– volume: 135
  start-page: 311
  year: 2016
  end-page: 323
  ident: bib0137
  article-title: Inter-site and inter-scanner diffusion MRI data harmonization
  publication-title: Neuroimage
– volume: 264
  year: 2022
  ident: bib0151
  article-title: Sample size requirement for achieving multisite harmonization using structural brain MRI features
  publication-title: Neuroimage
– volume: 184
  start-page: 180
  year: 2019
  end-page: 200
  ident: bib0032
  article-title: Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters
  publication-title: Neuroimage
– volume: 12
  start-page: 140
  year: 2022
  ident: bib0031
  article-title: A framework of analysis to facilitate the harmonization of multicenter radiomic features in prostate cancer
  publication-title: J. Clin. Med.
– volume: 30
  start-page: 436
  year: 2006
  end-page: 443
  ident: bib0103
  article-title: Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data
  publication-title: Neuroimage
– volume: 15
  year: 2021
  ident: bib0159
  article-title: Improving between-group effect size for multi-site functional connectivity data via site-wise de-meaning
  publication-title: Front. Computat. Neurosci.
– volume: 8
  start-page: 118
  year: 2007
  end-page: 127
  ident: bib0102
  article-title: Adjusting batch effects in microarray expression data using empirical Bayes methods
  publication-title: Biostatistics
– volume: 435
  year: 2022
  ident: bib0050
  article-title: The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data
  publication-title: Behav. Brain Res.
– volume: 17
  year: 2021
  ident: bib0020
  article-title: Eliminating accidental deviations to minimize generalization error and maximize replicability: applications in connectomics and genomics
  publication-title: PLoS Comput. Biol.
– volume: 42
  start-page: 1072
  year: 1999
  end-page: 1081
  ident: bib0146
  article-title: On standardizing the MR image intensity scale
  publication-title: Magn. Reson. Med.
– start-page: 248
  year: 2009
  end-page: 255
  ident: bib0058
  article-title: Imagenet: a large-scale hierarchical image database
  publication-title: 2009 IEEE Conference on Computer Vision and Pattern Recognition
– volume: 19
  start-page: 4
  year: 2020
  ident: bib0224
  article-title: Inter-site harmonization based on dual generative adversarial networks for diffusion tensor imaging: application to neonatal white matter development
  publication-title: Biomed. Eng. Online
– reference: Choi, Y., Uh, Y., Yoo, J., Ha, J.-W., 2020. StarGAN v2: diverse image synthesis for multiple domains. https://doi.org/10.48550/arXiv.1912.01865
– year: 2008
  ident: bib0164
  article-title: Modern Epidemiology
– volume: 13
  start-page: 4809
  year: 2021
  ident: bib0210
  article-title: Multi-stage harmonization for robust AI across breast MR databases
  publication-title: Cancers
– volume: 39
  start-page: 4213
  year: 2018
  end-page: 4227
  ident: bib0220
  article-title: Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data
  publication-title: Hum. Brain Mapp.
– start-page: 720
  year: 2020
  end-page: 729
  ident: bib0061
  article-title: A disentangled latent space for cross-site MRI harmonization
  publication-title: Medical Image Computing and Computer Assisted Intervention MICCAI 2020
– volume: 19
  start-page: 659
  year: 2014
  end-page: 667
  ident: bib0062
  article-title: The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
  publication-title: Mol. Psychiatry
– volume: 37
  start-page: 1238
  year: 2013
  end-page: 1246
  ident: bib0127
  article-title: Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom
  publication-title: J. Magnet. Reson. Imaging: JMRI
– reference: Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S., 2018. GANs trained by a two time-scale update rule converge to a local nash equilibrium. https://doi.org/10.48550/arXiv.1706.08500
– volume: 34
  year: 2022
  ident: bib0056
  article-title: MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies
  publication-title: NeuroImage. Clin.
– volume: 5
  start-page: 28
  year: 2005
  ident: bib0090
  article-title: Causal inference based on counterfactuals
  publication-title: BMC Med. Res. Method.
– volume: 23
  start-page: 1484
  year: 2020
  end-page: 1495
  ident: bib0015
  article-title: Challenges and future directions for representations of functional brain organization
  publication-title: Nat. Neurosci.
– reference: Karras, T., Laine, S., Aila, T., 2019. A style-based generator architecture for generative adversarial networks. https://doi.org/10.48550/arXiv.1812.04948
– volume: 40
  start-page: 672
  year: 2009
  end-page: 673
  ident: bib0106
  article-title: Are unadjusted analyses of clinical trials inappropriately biased toward the null?
  publication-title: Stroke
– volume: 80
  start-page: 62
  year: 2013
  end-page: 79
  ident: bib0203
  article-title: The WU-Minn human connectome project: an overview
  publication-title: Neuroimage
– volume: 84
  start-page: 663
  year: 2020
  end-page: 685
  ident: bib0051
  article-title: A transfer-learning approach for accelerated MRI using deep neural networks
  publication-title: Magn. Reson. Med.
– volume: 8
  start-page: 303
  year: 2022
  ident: bib0179
  article-title: Harmonization strategies in multicenter MRI-based radiomics
  publication-title: J. Imaging
– volume: 34
  start-page: 355
  year: 2021
  end-page: 366
  ident: bib0165
  article-title: A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study
  publication-title: MAGMA
– start-page: I
  year: 2003
  end-page: 1109
  ident: bib0086
  article-title: Consistent intensity correction of MR images
  publication-title: Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
– volume: 134
  start-page: 281
  year: 2016
  end-page: 294
  ident: bib0107
  article-title: Power estimation for non-standardized multisite studies
  publication-title: Neuroimage
– volume: 6
  start-page: 160
  year: 1998
  end-page: 188
  ident: bib0132
  article-title: Analysis of fMRI data by blind separation into independent spatial components
  publication-title: Hum. Brain Mapp.
– volume: 16
  year: 2021
  ident: bib0047
  article-title: A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets
  publication-title: PLoS One
– volume: 13583
  start-page: 201
  year: 2022
  end-page: 209
  ident: bib0075
  article-title: Fast Image-Level MRI Harmonization via Spectrum Analysis
  publication-title: Machine learning in medical imaging. MLMI (Workshop)
– volume: 195
  start-page: 285
  year: 2019
  end-page: 299
  ident: bib0189
  article-title: Cross-scanner and cross-protocol diffusion MRI data harmonisation: a benchmark database and evaluation of algorithms
  publication-title: Neuroimage
– volume: 13
  year: 2022
  ident: bib0018
  article-title: A decentralized ComBat algorithm and applications to functional network connectivity
  publication-title: Front. Neurol.
– volume: 36
  year: 2022
  ident: bib0054
  article-title: Improved sensitivity and precision in multicentre diffusion MRI network analysis using thresholding and harmonization
  publication-title: NeuroImage. Clinical
– reference: Zhang, R., Oliver, L.D., Voineskos, A.N., Park, J.Y., 2022. A structured multivariate approach for removal of latent batch effects. https://doi.org/10.1101/2022.08.01.502396
– volume: 48
  start-page: 1673
  year: 2021
  end-page: 1684
  ident: bib0109
  article-title: Cross-modality deep learning: contouring of MRI data from annotated CT data only
  publication-title: Med. Phys.
– volume: 30
  start-page: 305
  year: 2020
  end-page: 314
  ident: bib0067
  article-title: Latent space manipulation for high-resolution medical image synthesis via the StyleGAN
  publication-title: Zeitschr. Med. Phys.
– volume: 30
  year: 2021
  ident: bib0112
  article-title: Brain/MINDS beyond human brain MRI project: a protocol for multi-level harmonization across brain disorders throughout the lifespan
  publication-title: NeuroImage: Clin.
– volume: 72
  year: 2021
  ident: bib0085
  article-title: Autoencoder based self-supervised test-time adaptation for medical image analysis
  publication-title: Med. Image Anal.
– volume: 261
  year: 2022
  ident: bib0181
  article-title: A comparison of methods to harmonize cortical thickness measurements across scanners and sites
  publication-title: Neuroimage
– volume: 5
  start-page: 185
  year: 2021
  end-page: 193
  ident: bib0093
  article-title: A hitchhiker's guide to working with large, open-source neuroimaging datasets
  publication-title: Nat. Hum. Behav.
– volume: 220
  year: 2020
  ident: bib0072
  article-title: Neuroharmony: a new tool for harmonizing volumetric MRI data from unseen scanners
  publication-title: Neuroimage
– volume: 66
  year: 2020
  ident: bib0130
  article-title: The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
  publication-title: Med. Image Anal.
– volume: 68
  start-page: 853
  year: 2011
  end-page: 861
  ident: bib0188
  article-title: Chronic divalproex sodium to attenuate agitation and clinical progression of Alzheimer disease
  publication-title: Arch. Gen. Psychiatry
– volume: 31
  start-page: 2272
  year: 2021
  end-page: 2280
  ident: bib0149
  article-title: How can we combat multicenter variability in MR radiomics? Validation of a correction procedure
  publication-title: Eur. Radiol.
– volume: 73
  start-page: 31
  year: 2020
  end-page: 44
  ident: bib0195
  article-title: A deep learning-based method for improving reliability of multicenter diffusion kurtosis imaging with varied acquisition protocols
  publication-title: Magn. Reson. Imaging
– volume: 257
  year: 2022
  ident: bib0012
  article-title: Harmonization of multi-site MRS data with ComBat
  publication-title: Neuroimage
– volume: 68
  start-page: 3628
  year: 2021
  end-page: 3637
  ident: bib0099
  article-title: Functional connectivity-based prediction of autism on site harmonized ABIDE dataset
  publication-title: IEEE Trans. Biomed. Eng.
– start-page: 2242
  year: 2017
  end-page: 2251
  ident: bib0225
  article-title: Unpaired image-to-image translation using cycle-consistent adversarial networks
  publication-title: 2017 IEEE International Conference on Computer Vision (ICCV)
– volume: 2
  year: 2022
  ident: bib0134
  article-title: Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: optimizing post-processing and application of ComBat
  publication-title: Neuroimage. Rep.
– volume: 29
  start-page: 1310
  year: 2010
  end-page: 1320
  ident: bib0199
  article-title: N4ITK: improved N3 bias correction
  publication-title: IEEE Trans. Med. Imaging
– volume: 259
  year: 2022
  ident: bib0055
  article-title: Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH)
  publication-title: Neuroimage
– volume: 16
  year: 2022
  ident: bib0183
  article-title: The impact of harmonization on radiomic features in Parkinson's disease and healthy controls: a multicenter study
  publication-title: Front. Neurosci.
– volume: 17
  year: 2019
  ident: bib0217
  article-title: Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
  publication-title: PLoS Biol.
– volume: 17
  start-page: 825
  year: 2002
  end-page: 841
  ident: bib0101
  article-title: Improved optimization for the robust and accurate linear registration and motion correction of brain images
  publication-title: Neuroimage
– volume: 71
  year: 2021
  ident: bib0076
  article-title: Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification
  publication-title: Med. Image Anal.
– volume: 86
  start-page: 3304
  year: 2021
  end-page: 3320
  ident: bib0024
  article-title: MASiVar: multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI
  publication-title: Magn. Reson. Med.
– volume: 7
  start-page: 473
  year: 2004
  end-page: 481
  ident: bib0094
  article-title: Sharing neuroimaging studies of human cognition
  publication-title: Nat. Neurosci.
– volume: 245
  year: 2021
  ident: bib0113
  article-title: Cross-scanner reproducibility and harmonization of a diffusion MRI structural brain network: a traveling subject study of multi-b acquisition
  publication-title: Neuroimage
– volume: 15
  year: 2022
  ident: bib0013
  article-title: Deep learning in large and multi-site structural brain MR imaging datasets
  publication-title: Front. Neuroinformat.
– volume: 167
  start-page: 104
  year: 2018
  end-page: 120
  ident: bib0068
  article-title: Harmonization of cortical thickness measurements across scanners and sites
  publication-title: Neuroimage
– volume: 13
  start-page: 406
  year: 2017
  end-page: 419
  ident: bib0133
  article-title: Imaging and fluid biomarkers in frontotemporal dementia
  publication-title: Nat. Rev. Neurol.
– volume: 245
  year: 2021
  ident: bib0064
  article-title: A multi-scanner neuroimaging data harmonization using RAVEL and ComBat
  publication-title: Neuroimage
– volume: 84
  start-page: 133
  year: 2014
  end-page: 140
  ident: bib0184
  article-title: Effects of study design in multi-scanner voxel-based morphometry studies
  publication-title: Neuroimage
– volume: 25
  start-page: 3208
  year: 2020
  end-page: 3219
  ident: bib0033
  article-title: White matter abnormalities across the lifespan of schizophrenia: a harmonized multi-site diffusion MRI study
  publication-title: Mol. Psychiatry
– volume: 21
  start-page: 12
  year: 2020
  ident: bib0197
  article-title: A benchmark of batch-effect correction methods for single-cell RNA sequencing data
  publication-title: Genome Biol.
– volume: 35
  year: 2022
  ident: bib0167
  article-title: Multi-site harmonization of MRI data uncovers machine-learning discrimination capability in barely separable populations: an example from the ABIDE dataset
  publication-title: NeuroImage: Clin.
– volume: 257
  year: 2022
  ident: bib0192
  article-title: A deep learning-based multisite neuroimage harmonization framework established with a traveling-subject dataset
  publication-title: Neuroimage
– volume: 243
  year: 2021
  ident: bib0227
  article-title: Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory
  publication-title: Neuroimage
– year: 2019
  ident: bib0091
  article-title: Standardization of multicentric image datasets with generative adversarial networks
  publication-title: IEEE Nuclear Science Symposium and Medical Imaging Conference 2019
– volume: 81
  start-page: 455
  year: 2013
  end-page: 469
  ident: bib0100
  article-title: Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA working group
  publication-title: Neuroimage
– volume: 67
  year: 2021
  ident: bib0206
  article-title: Detect and correct bias in multi-site neuroimaging datasets
  publication-title: Med. Image Anal.
– year: 2022
  ident: bib0121
  article-title: Environmental neuroscience linking exposome to brain structure and function underlying cognition and behavior
  publication-title: Mol. Psychiatry
– volume: 65
  start-page: 24TR02
  year: 2020
  ident: bib0049
  article-title: Harmonization strategies for multicenter radiomics investigations
  publication-title: Phys. Med. Biol.
– volume: 17
  start-page: 29
  year: 2016
  end-page: 39
  ident: bib0145
  article-title: Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses
  publication-title: Biostatistics
– reference: Huang, X., Belongie, S., 2017. Arbitrary style transfer in real-time with adaptive instance normalization. https://doi.org/10.48550/arXiv.1703.06868
– start-page: 83
  year: 2022
  end-page: 92
  ident: bib0158
  article-title: Neuroimaging harmonization using cGANs: image similarity metrics poorly predict cross-protocol volumetric consistency
  publication-title: Machine Learning in Clinical Neuroimaging, Lecture Notes in Computer Science
– year: 2022
  ident: bib0078
  article-title: Multisite test-retest reliability and compatibility of brain metrics derived from FreeSurfer versions 7.1, 6.0, and 5.3
  publication-title: Hum. Brain Mapp.
– volume: 40
  year: 2019
  ident: bib0129
  article-title: Identifying reproducible individual differences in childhood functional brain networks: an ABCD study
  publication-title: Dev. Cognit. Neurosci.
– volume: 93
  start-page: 73
  year: 2022
  end-page: 86
  ident: bib0081
  article-title: Contrastive semi-supervised harmonization of single-shell to multi-shell diffusion MRI
  publication-title: Magn. Reson. Imaging
– volume: 9
  start-page: 332
  year: 2022
  ident: bib0084
  article-title: A longitudinal multi-scanner multimodal human neuroimaging dataset
  publication-title: Sci. Data
– start-page: 475
  year: 2019
  end-page: 483
  ident: bib0223
  article-title: Harmonization of infant cortical thickness using surface-to-surface cycle-consistent adversarial networks
  publication-title: Medical image computing and computer-assisted intervention: MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 11767
– volume: 132
  start-page: 198
  year: 2016
  end-page: 212
  ident: bib0070
  article-title: Removing inter-subject technical variability in magnetic resonance imaging studies
  publication-title: Neuroimage
– volume: 67
  year: 2022
  ident: bib0035
  article-title: Self-supervised learning for multi-center magnetic resonance imaging harmonization without traveling phantoms
  publication-title: Phys. Med. Biol.
– volume: 43
  start-page: 1179
  year: 2022
  end-page: 1195
  ident: bib0036
  article-title: Mitigating site effects in covariance for machine learning in neuroimaging data
  publication-title: Hum. Brain Mapp.
– volume: 17
  start-page: 1510
  year: 2014
  end-page: 1517
  ident: bib0153
  article-title: Making big data open: data sharing in neuroimaging
  publication-title: Nat. Neurosci.
– volume: 90
  start-page: 449
  year: 2014
  end-page: 468
  ident: bib0166
  article-title: Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers
  publication-title: Neuroimage
– volume: 66
  year: 2021
  ident: bib0193
  article-title: Evaluation of conventional and deep learning based image harmonization methods in radiomics studies
  publication-title: Phys. Med. Biol.
– volume: 161
  start-page: 149
  year: 2017
  end-page: 170
  ident: bib0069
  article-title: Harmonization of multi-site diffusion tensor imaging data
  publication-title: Neuroimage
– volume: 13
  start-page: 620
  year: 2003
  end-page: 629
  ident: bib0131
  article-title: Independent component analysis of functional MRI: what is signal and what is noise?
  publication-title: Curr. Opin. Neurobiol.
– volume: 38
  start-page: 2375
  year: 2019
  end-page: 2388
  ident: bib0052
  article-title: Image synthesis in multi-contrast MRI with conditional generative adversarial networks
  publication-title: IEEE Trans. Med. Imaging
– volume: 10
  start-page: 15496
  year: 2020
  ident: bib0046
  article-title: Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients
  publication-title: Sci. Rep.
– volume: 26
  start-page: 490
  year: 2008
  end-page: 503
  ident: bib0135
  article-title: Effects of spatial smoothing on fMRI group inferences
  publication-title: Magn. Reson. Imaging
– volume: 208
  year: 2020
  ident: bib0155
  article-title: Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
  publication-title: Neuroimage
– volume: 17
  start-page: 143
  year: 2002
  end-page: 155
  ident: bib0177
  article-title: Fast robust automated brain extraction
  publication-title: Hum. Brain Mapp.
– volume: 6
  start-page: 87
  year: 2014
  ident: bib0029
  article-title: Imaging endpoints for clinical trials in Alzheimer's disease
  publication-title: Alzheimer's Res. Ther.
– volume: 119198
  year: 2022
  ident: bib0038
  article-title: Harmonizing functional connectivity reduces scanner effects in community detection
  publication-title: Neuroimage
– volume: 42
  start-page: 5278
  year: 2021
  end-page: 5287
  ident: bib0126
  article-title: Comparison of traveling-subject and ComBat harmonization methods for assessing structural brain characteristics
  publication-title: Hum. Brain Mapp.
– volume: 43
  start-page: 2972
  year: 2022
  end-page: 2991
  ident: bib0022
  article-title: Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites
  publication-title: Hum. Brain Mapp.
– volume: 2
  year: 2022
  ident: bib0161
  article-title: Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort
  publication-title: Neuroimage. Rep.
– volume: 263
  year: 2022
  ident: bib0003
  article-title: Goal-specific brain MRI harmonization
  publication-title: Neuroimage
– volume: 9
  start-page: 37
  year: 2021
  ident: bib0205
  article-title: The German research consortium for the study of bipolar disorder (BipoLife): a magnetic resonance imaging study protocol
  publication-title: Int. J. Bipolar Disord.
– volume: 202
  year: 2019
  ident: bib0079
  article-title: Image processing and analysis methods for the adolescent brain cognitive development study
  publication-title: Neuroimage
– volume: 13
  start-page: 600
  year: 2004
  end-page: 612
  ident: bib0208
  article-title: Image quality assessment: from error visibility to structural similarity
  publication-title: IEEE Trans. Image Process.
– volume: 12
  start-page: 284
  year: 2018
  end-page: 295
  ident: bib0138
  article-title: Multi-site harmonization of diffusion MRI data in a registration framework
  publication-title: Brain Imaging Behav.
– volume: 17
  start-page: 33
  year: 2022
  end-page: 66
  ident: bib0004
  article-title: Heterogeneous large datasets integration using bayesian factor regression
  publication-title: Bayesian Anal.
– volume: 30
  start-page: 1418
  year: 2015
  end-page: 1423
  ident: bib0182
  article-title: Graphical presentation of confounding in directed acyclic graphs
  publication-title: Nephrol. Dialy. Transplant.
– volume: 228
  year: 2021
  ident: bib0063
  article-title: Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
  publication-title: Neuroimage
– volume: 146
  start-page: 959
  year: 2017
  end-page: 970
  ident: bib0144
  article-title: Multisite reliability of MR-based functional connectivity
  publication-title: Neuroimage
– volume: 57
  start-page: 454
  year: 2004
  end-page: 460
  ident: bib0088
  article-title: Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements
  publication-title: J. Clin. Epidemiol.
– volume: 12
  start-page: 26
  year: 2008
  end-page: 41
  ident: bib0005
  article-title: Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain
  publication-title: Med. Image Anal.
– ident: 10.1016/j.neuroimage.2023.120125_bib0089
– start-page: 720
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0061
  article-title: A disentangled latent space for cross-site MRI harmonization
– volume: 264
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0009
  article-title: Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2022.119699
– volume: 119198
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0038
  article-title: Harmonizing functional connectivity reduces scanner effects in community detection
  publication-title: Neuroimage
– volume: 2
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0161
  article-title: Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort
  publication-title: Neuroimage. Rep.
– volume: 257
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0192
  article-title: A deep learning-based multisite neuroimage harmonization framework established with a traveling-subject dataset
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2022.119297
– year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0040
  article-title: Four distinct subtypes of Alzheimer's disease based on resting-state connectivity biomarkers
  publication-title: Biol. Psychiatry
– volume: 7
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0211
  article-title: Harmonization of radiomic features of breast lesions across international DCE-MRI datasets
  publication-title: J. Med. Imaging
  doi: 10.1117/1.JMI.7.1.012707
– volume: 72
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0085
  article-title: Autoencoder based self-supervised test-time adaptation for medical image analysis
  publication-title: Med. Image Anal.
  doi: 10.1016/j.media.2021.102136
– ident: 10.1016/j.neuroimage.2023.120125_bib0034
  doi: 10.1101/2020.11.20.390120
– volume: 217
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0039
  article-title: Generalization of diffusion magnetic resonance imagingbased brain age prediction model through transfer learning
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2020.116831
– start-page: I
  year: 2003
  ident: 10.1016/j.neuroimage.2023.120125_bib0086
  article-title: Consistent intensity correction of MR images
– volume: 57
  start-page: 454
  year: 2004
  ident: 10.1016/j.neuroimage.2023.120125_bib0088
  article-title: Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements
  publication-title: J. Clin. Epidemiol.
  doi: 10.1016/j.jclinepi.2003.09.014
– ident: 10.1016/j.neuroimage.2023.120125_bib0118
  doi: 10.1101/2021.12.01.470790
– volume: 13
  start-page: 600
  year: 2004
  ident: 10.1016/j.neuroimage.2023.120125_bib0208
  article-title: Image quality assessment: from error visibility to structural similarity
  publication-title: IEEE Trans. Image Process.
  doi: 10.1109/TIP.2003.819861
– ident: 10.1016/j.neuroimage.2023.120125_bib0187
  doi: 10.1109/IJCNN.2019.8851881
– volume: 35
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0167
  article-title: Multi-site harmonization of MRI data uncovers machine-learning discrimination capability in barely separable populations: an example from the ABIDE dataset
  publication-title: NeuroImage: Clin.
– ident: 10.1016/j.neuroimage.2023.120125_bib0196
  doi: 10.1101/2022.07.27.501786
– volume: 257
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0012
  article-title: Harmonization of multi-site MRS data with ComBat
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2022.119330
– volume: 154
  start-page: 174
  year: 2017
  ident: 10.1016/j.neuroimage.2023.120125_bib0043
  article-title: Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.03.020
– volume: 1
  start-page: 55
  year: 2005
  ident: 10.1016/j.neuroimage.2023.120125_bib0140
  article-title: Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI)
  publication-title: Alzheimer's Dement.
  doi: 10.1016/j.jalz.2005.06.003
– volume: 195
  start-page: 285
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0189
  article-title: Cross-scanner and cross-protocol diffusion MRI data harmonisation: a benchmark database and evaluation of algorithms
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.01.077
– volume: 42
  start-page: 4568
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0124
  article-title: Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.25565
– volume: 38
  start-page: 1501
  year: 2017
  ident: 10.1016/j.neuroimage.2023.120125_bib0173
  article-title: Volumetric analysis from a harmonized multisite brain MRI study of a single subject with multiple sclerosis
  publication-title: Am. J. Neuroradiol.
  doi: 10.3174/ajnr.A5254
– volume: 55
  start-page: 908
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0008
  article-title: Deep generative medical image harmonization for improving cross-site generalization in deep learning predictors
  publication-title: J. Magnet. Reson. Imaging: JMRI
  doi: 10.1002/jmri.27908
– volume: 19
  start-page: 4
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0224
  article-title: Inter-site harmonization based on dual generative adversarial networks for diffusion tensor imaging: application to neonatal white matter development
  publication-title: Biomed. Eng. Online
  doi: 10.1186/s12938-020-0748-9
– volume: 30
  start-page: 305
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0067
  article-title: Latent space manipulation for high-resolution medical image synthesis via the StyleGAN
  publication-title: Zeitschr. Med. Phys.
– volume: 7
  start-page: 473
  year: 2004
  ident: 10.1016/j.neuroimage.2023.120125_bib0094
  article-title: Sharing neuroimaging studies of human cognition
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn1231
– volume: 237
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0016
  article-title: Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2021.118189
– volume: 132
  start-page: 198
  year: 2016
  ident: 10.1016/j.neuroimage.2023.120125_bib0070
  article-title: Removing inter-subject technical variability in magnetic resonance imaging studies
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.02.036
– volume: 13
  start-page: 4809
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0210
  article-title: Multi-stage harmonization for robust AI across breast MR databases
  publication-title: Cancers
  doi: 10.3390/cancers13194809
– volume: 175
  start-page: 831
  year: 2018
  ident: 10.1016/j.neuroimage.2023.120125_bib0030
  article-title: All for one and one for all: mental disorders in one dimension
  publication-title: Am. J. Psychiatry
  doi: 10.1176/appi.ajp.2018.17121383
– volume: 13
  start-page: 620
  year: 2003
  ident: 10.1016/j.neuroimage.2023.120125_bib0131
  article-title: Independent component analysis of functional MRI: what is signal and what is noise?
  publication-title: Curr. Opin. Neurobiol.
  doi: 10.1016/j.conb.2003.09.012
– year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0026
  article-title: Deep Learning for Breast MRI Style Transfer with Limited Training Data
  publication-title: J. Digit. Imaging
  doi: 10.1007/s10278-022-00755-z
– volume: 40
  start-page: 888
  year: 2009
  ident: 10.1016/j.neuroimage.2023.120125_bib0148
  article-title: Should stroke trials adjust functional outcome for baseline prognostic factors?
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.108.519207
– volume: 6
  start-page: 160
  year: 1998
  ident: 10.1016/j.neuroimage.2023.120125_bib0132
  article-title: Analysis of fMRI data by blind separation into independent spatial components
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/(SICI)1097-0193(1998)6:3<160::AID-HBM5>3.0.CO;2-1
– volume: 13583
  start-page: 201
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0075
  article-title: Fast Image-Level MRI Harmonization via Spectrum Analysis
– volume: 70
  start-page: 41
  year: 1983
  ident: 10.1016/j.neuroimage.2023.120125_bib0163
  article-title: The central role of the propensity score in observational studies for causal effects
  publication-title: Biometrika
  doi: 10.1093/biomet/70.1.41
– volume: 17
  start-page: 116
  year: 2016
  ident: 10.1016/j.neuroimage.2023.120125_bib0169
  article-title: Oxford Lithium Trial (OxLith) of the early affective, cognitive, neural and biochemical effects of lithium carbonate in bipolar disorder: study protocol for a randomised controlled trial
  publication-title: Trials
  doi: 10.1186/s13063-016-1230-7
– volume: 228
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0063
  article-title: Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2020.117689
– volume: 248
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0037
  article-title: Privacy-preserving harmonization via distributed ComBat
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2021.118822
– volume: 67
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0206
  article-title: Detect and correct bias in multi-site neuroimaging datasets
  publication-title: Med. Image Anal.
  doi: 10.1016/j.media.2020.101879
– volume: 17
  start-page: 825
  year: 2002
  ident: 10.1016/j.neuroimage.2023.120125_bib0101
  article-title: Improved optimization for the robust and accurate linear registration and motion correction of brain images
  publication-title: Neuroimage
  doi: 10.1006/nimg.2002.1132
– volume: 158
  start-page: 114
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0092
  article-title: General psychopathology factor (p-factor) prediction using resting-state functional connectivity and a scanner-generalization neural network
  publication-title: J. Psychiatr. Res.
  doi: 10.1016/j.jpsychires.2022.12.037
– volume: 43
  start-page: 2972
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0022
  article-title: Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.25830
– year: 2008
  ident: 10.1016/j.neuroimage.2023.120125_bib0164
– volume: 148
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0156
  article-title: Style transfer in conditional GANs for cross-modality synthesis of brain magnetic resonance images
  publication-title: Comput. Biol. Med.
  doi: 10.1016/j.compbiomed.2022.105928
– ident: 10.1016/j.neuroimage.2023.120125_bib0111
– volume: 38
  start-page: 2375
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0052
  article-title: Image synthesis in multi-contrast MRI with conditional generative adversarial networks
  publication-title: IEEE Trans. Med. Imaging
  doi: 10.1109/TMI.2019.2901750
– volume: 14
  start-page: 1859
  year: 2004
  ident: 10.1016/j.neuroimage.2023.120125_bib0098
  article-title: MRI quality control: six imagers studied using eleven unified image quality parameters
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-004-2278-4
– volume: 270
  start-page: 446
  year: 2023
  ident: 10.1016/j.neuroimage.2023.120125_bib0150
  article-title: Multicenter data harmonization for regional brain atrophy and application in multiple sclerosis
  publication-title: J. Neurol.
  doi: 10.1007/s00415-022-11387-2
– volume: 12
  start-page: 19009
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0095
  article-title: Improved generalized ComBat methods for harmonization of radiomic features
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-23328-0
– volume: 40
  start-page: 672
  year: 2009
  ident: 10.1016/j.neuroimage.2023.120125_bib0106
  article-title: Are unadjusted analyses of clinical trials inappropriately biased toward the null?
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.108.532051
– volume: 263
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0003
  article-title: Goal-specific brain MRI harmonization
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2022.119570
– volume: 34
  start-page: 355
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0165
  article-title: A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study
  publication-title: MAGMA
  doi: 10.1007/s10334-020-00892-y
– volume: 42
  start-page: 5278
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0126
  article-title: Comparison of traveling-subject and ComBat harmonization methods for assessing structural brain characteristics
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.25615
– volume: 16
  start-page: 41
  year: 2006
  ident: 10.1016/j.neuroimage.2023.120125_bib0087
  article-title: Randomized controlled trials with time-to-event outcomes: how much does prespecified covariate adjustment increase power?
  publication-title: Ann. Epidemiol.
  doi: 10.1016/j.annepidem.2005.09.007
– volume: 13
  start-page: 406
  year: 2017
  ident: 10.1016/j.neuroimage.2023.120125_bib0133
  article-title: Imaging and fluid biomarkers in frontotemporal dementia
  publication-title: Nat. Rev. Neurol.
  doi: 10.1038/nrneurol.2017.75
– volume: 13
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0010
  article-title: Site effects how-to and when: an overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses
  publication-title: Front. Neurol.
  doi: 10.3389/fneur.2022.923988
– volume: 5
  start-page: 28
  year: 2005
  ident: 10.1016/j.neuroimage.2023.120125_bib0090
  article-title: Causal inference based on counterfactuals
  publication-title: BMC Med. Res. Method.
  doi: 10.1186/1471-2288-5-28
– year: 2015
  ident: 10.1016/j.neuroimage.2023.120125_bib0178
  article-title: Learning structured output representation using deep conditional generative models
– volume: 220
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0011
  article-title: Longitudinal ComBat: a method for harmonizing longitudinal multi-scanner imaging data
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2020.117129
– volume: 14
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0152
  article-title: Harmonization of brain diffusion MRI: concepts and methods
  publication-title: Front. Neurosci.
  doi: 10.3389/fnins.2020.00396
– volume: 84
  start-page: 2174
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0139
  article-title: Scanner invariant representations for diffusion MRI harmonization
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.28243
– volume: 8
  start-page: 118
  year: 2007
  ident: 10.1016/j.neuroimage.2023.120125_bib0102
  article-title: Adjusting batch effects in microarray expression data using empirical Bayes methods
  publication-title: Biostatistics
  doi: 10.1093/biostatistics/kxj037
– volume: 245
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0113
  article-title: Cross-scanner reproducibility and harmonization of a diffusion MRI structural brain network: a traveling subject study of multi-b acquisition
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2021.118675
– volume: 8
  start-page: 303
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0179
  article-title: Harmonization strategies in multicenter MRI-based radiomics
  publication-title: J. Imaging
  doi: 10.3390/jimaging8110303
– year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0007
  article-title: In vivo white matter microstructure in adolescents with early-onset psychosis: a multi-site mega-analysis
  publication-title: Mol. Psychiatry
– volume: 54
  start-page: 537
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0045
  article-title: Assessment of repeatability, reproducibility, and performances of T2 mapping-based radiomics features: a comparative study
  publication-title: J. Magn. Reson. Imaging
  doi: 10.1002/jmri.27558
– volume: 17
  start-page: 29
  year: 2016
  ident: 10.1016/j.neuroimage.2023.120125_bib0145
  article-title: Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses
  publication-title: Biostatistics
  doi: 10.1093/biostatistics/kxv027
– volume: 31
  start-page: 6001
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0071
  article-title: Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-020-07598-8
– volume: 143
  start-page: 2454
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0083
  article-title: White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study
  publication-title: Brain: J. Neurol.
  doi: 10.1093/brain/awaa200
– volume: 184
  start-page: 180
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0032
  article-title: Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2018.08.073
– volume: 6
  start-page: 87
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0029
  article-title: Imaging endpoints for clinical trials in Alzheimer's disease
  publication-title: Alzheimer's Res. Ther.
  doi: 10.1186/s13195-014-0087-9
– volume: 259
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0055
  article-title: Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH)
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2022.119439
– volume: 13
  start-page: 4320
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0114
  article-title: Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-022-31730-5
– volume: 18
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0216
  article-title: Generalizable brain network markers of major depressive disorder across multiple imaging sites
  publication-title: PLoS Biol.
  doi: 10.1371/journal.pbio.3000966
– volume: 243
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0227
  article-title: Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2021.118569
– volume: 17
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0217
  article-title: Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
  publication-title: PLoS Biol.
  doi: 10.1371/journal.pbio.3000042
– volume: 40
  start-page: 1507
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0125
  article-title: Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.24463
– volume: 48
  start-page: 6962
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0116
  article-title: IAS-NET: joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation
  publication-title: Med. Phys.
  doi: 10.1002/mp.15212
– volume: 13
  start-page: 5672
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0019
  article-title: Development of a radiomic-based model predicting lymph node involvement in prostate cancer patients
  publication-title: Cancers
  doi: 10.3390/cancers13225672
– volume: 16
  start-page: 2069
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0057
  article-title: MR-contrast-aware image-to-image translations with generative adversarial networks
  publication-title: Int. J. Comput. Assisted Radiol. Surg.
  doi: 10.1007/s11548-021-02433-x
– volume: 8
  start-page: 227
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0186
  article-title: A multi-site, multi-disorder resting-state magnetic resonance image database
  publication-title: Sci. Data
  doi: 10.1038/s41597-021-01004-8
– start-page: 313
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0122
  article-title: Style transfer using generative adversarial networks for multi-site MRI harmonization
– volume: 34
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0056
  article-title: MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies
  publication-title: NeuroImage. Clin.
  doi: 10.1016/j.nicl.2022.102972
– year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0117
  article-title: Overcoming the impacts of two-step batch effect correction on gene expression estimation and inference
  publication-title: Biostat. kxab039
– volume: 39
  start-page: 1180
  year: 2008
  ident: 10.1016/j.neuroimage.2023.120125_bib0180
  article-title: Interpreting scan data acquired from multiple scanners: a study with Alzheimer's disease
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2007.09.066
– volume: 34
  start-page: 438
  year: 2011
  ident: 10.1016/j.neuroimage.2023.120125_bib0185
  article-title: Effect of scanner in longitudinal studies of brain volume changes
  publication-title: J. Magn. Reson. Imaging
  doi: 10.1002/jmri.22636
– volume: 13
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0147
  article-title: Multisite harmonization of structural DTI networks in children: an A-CAP study
  publication-title: Front. Neurol.
  doi: 10.3389/fneur.2022.850642
– volume: 12
  start-page: 1219
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0162
  article-title: Assessing multi-site rs-fMRI-based connectomic harmonization using information theory
  publication-title: Brain Sci.
  doi: 10.3390/brainsci12091219
– volume: 6
  start-page: 9
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0174
  article-title: Statistical normalization techniques for magnetic resonance imaging
  publication-title: NeuroImage: Clin.
  doi: 10.1016/j.nicl.2014.08.008
– volume: 28
  start-page: 306
  year: 2015
  ident: 10.1016/j.neuroimage.2023.120125_bib0200
  article-title: Multi-center reproducibility of neurochemical profiles in the human brain at 7 T
  publication-title: NMR Biomed.
  doi: 10.1002/nbm.3252
– volume: 388
  start-page: 9
  year: 2023
  ident: 10.1016/j.neuroimage.2023.120125_bib0201
  article-title: Lecanemab in early Alzheimer's disease
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa2212948
– volume: 8
  start-page: 385
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0059
  article-title: Early readout on overall survival of patients with melanoma treated with immunotherapy using a novel imaging analysis
  publication-title: JAMA Oncol.
  doi: 10.1001/jamaoncol.2021.6818
– volume: 68
  start-page: 3628
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0099
  article-title: Functional connectivity-based prediction of autism on site harmonized ABIDE dataset
  publication-title: IEEE Trans. Biomed. Eng.
  doi: 10.1109/TBME.2021.3080259
– volume: 29
  start-page: 1310
  year: 2010
  ident: 10.1016/j.neuroimage.2023.120125_bib0199
  article-title: N4ITK: improved N3 bias correction
  publication-title: IEEE Trans. Med. Imaging
  doi: 10.1109/TMI.2010.2046908
– start-page: 1099
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0171
  article-title: Cross-vendor CT image data harmonization using CVH-CT
– year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0219
  article-title: A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation
  publication-title: IEEE J. Biomed. Health Informat. PP
  doi: 10.1109/JBHI.2022.3162118
– volume: 39
  start-page: 4213
  year: 2018
  ident: 10.1016/j.neuroimage.2023.120125_bib0220
  article-title: Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.24241
– volume: 10
  start-page: 10248
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0048
  article-title: Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-020-66110-w
– ident: 10.1016/j.neuroimage.2023.120125_bib0142
  doi: 10.1101/309260
– year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0078
  article-title: Multisite test-retest reliability and compatibility of brain metrics derived from FreeSurfer versions 7.1, 6.0, and 5.3
  publication-title: Hum. Brain Mapp.
– volume: 10
  start-page: 4987
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0190
  article-title: Same brain, different look?-The impact of scanner, sequence and preprocessing on diffusion imaging outcome parameters
  publication-title: J. Clin. Med.
  doi: 10.3390/jcm10214987
– volume: 86
  start-page: 3304
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0024
  article-title: MASiVar: multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.28926
– year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0176
  article-title: Alzheimer's disease classification accuracy is improved by MRI harmonization based on attention-guided generative adversarial networks
– volume: 12
  start-page: 26
  year: 2008
  ident: 10.1016/j.neuroimage.2023.120125_bib0005
  article-title: Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain
  publication-title: Med. Image Anal.
  doi: 10.1016/j.media.2007.06.004
– volume: 12
  start-page: 140
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0031
  article-title: A framework of analysis to facilitate the harmonization of multicenter radiomic features in prostate cancer
  publication-title: J. Clin. Med.
  doi: 10.3390/jcm12010140
– year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0121
  article-title: Environmental neuroscience linking exposome to brain structure and function underlying cognition and behavior
  publication-title: Mol. Psychiatry
– ident: 10.1016/j.neuroimage.2023.120125_bib0041
  doi: 10.1109/CVPR42600.2020.00821
– volume: 32
  start-page: 180
  year: 2006
  ident: 10.1016/j.neuroimage.2023.120125_bib0080
  article-title: Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2006.02.051
– ident: 10.1016/j.neuroimage.2023.120125_bib0097
  doi: 10.1109/ICCV.2017.167
– volume: 84
  start-page: 133
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0184
  article-title: Effects of study design in multi-scanner voxel-based morphometry studies
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.08.046
– volume: 208
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0021
  article-title: Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.116442
– volume: 48
  start-page: 1673
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0109
  article-title: Cross-modality deep learning: contouring of MRI data from annotated CT data only
  publication-title: Med. Phys.
  doi: 10.1002/mp.14619
– volume: 16
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0047
  article-title: A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0253653
– volume: 30
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0112
  article-title: Brain/MINDS beyond human brain MRI project: a protocol for multi-level harmonization across brain disorders throughout the lifespan
  publication-title: NeuroImage: Clin.
– volume: 27
  start-page: 1384
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0213
  article-title: Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes
  publication-title: Mol. Psychiatry
  doi: 10.1038/s41380-022-01519-5
– volume: 604
  start-page: 525
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0014
  article-title: Brain charts for the human lifespan
  publication-title: Nature
  doi: 10.1038/s41586-022-04554-y
– volume: 245
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0064
  article-title: A multi-scanner neuroimaging data harmonization using RAVEL and ComBat
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2021.118703
– volume: 14
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0110
  article-title: Harmonization of multicenter cortical thickness data by linear mixed effect model
  publication-title: Front. Aging Neurosci.
  doi: 10.3389/fnagi.2022.869387
– volume: 40
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0129
  article-title: Identifying reproducible individual differences in childhood functional brain networks: an ABCD study
  publication-title: Dev. Cognit. Neurosci.
  doi: 10.1016/j.dcn.2019.100706
– volume: 23
  start-page: 1484
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0015
  article-title: Challenges and future directions for representations of functional brain organization
  publication-title: Nat. Neurosci.
  doi: 10.1038/s41593-020-00726-z
– volume: 39
  start-page: 322
  year: 1998
  ident: 10.1016/j.neuroimage.2023.120125_bib0207
  article-title: Correction for variations in MRI scanner sensitivity in brain studies with histogram matching
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.1910390222
– volume: 42
  start-page: 1072
  year: 1999
  ident: 10.1016/j.neuroimage.2023.120125_bib0146
  article-title: On standardizing the MR image intensity scale
  publication-title: Magn. Reson. Med.
  doi: 10.1002/(SICI)1522-2594(199912)42:6<1072::AID-MRM11>3.0.CO;2-M
– volume: 14
  start-page: 286
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0001
  article-title: Radiomics-based detection of radionecrosis using harmonized multiparametric MRI
  publication-title: Cancers
  doi: 10.3390/cancers14020286
– ident: 10.1016/j.neuroimage.2023.120125_bib0222
  doi: 10.1101/2022.08.01.502396
– volume: 135
  start-page: 311
  year: 2016
  ident: 10.1016/j.neuroimage.2023.120125_bib0137
  article-title: Inter-site and inter-scanner diffusion MRI data harmonization
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.04.041
– volume: 71
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0076
  article-title: Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification
  publication-title: Med. Image Anal.
  doi: 10.1016/j.media.2021.102076
– volume: 167
  start-page: 104
  year: 2018
  ident: 10.1016/j.neuroimage.2023.120125_bib0068
  article-title: Harmonization of cortical thickness measurements across scanners and sites
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.11.024
– volume: 93
  start-page: 1124
  year: 1998
  ident: 10.1016/j.neuroimage.2023.120125_bib0141
  article-title: Estimation efficiency with omitted covariates in generalized linear models
  publication-title: J. Am. Statist. Assoc.
  doi: 10.1080/01621459.1998.10473773
– year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0172
  article-title: Evaluating the impact of MR image harmonization on thalamus deep network segmentation
– volume: 8
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0042
  article-title: Big data, open science and the brain: lessons learned from genomics
  publication-title: Front. Hum. Neurosci.
  doi: 10.3389/fnhum.2014.00239
– start-page: 248
  year: 2009
  ident: 10.1016/j.neuroimage.2023.120125_bib0058
  article-title: Imagenet: a large-scale hierarchical image database
– volume: 64
  start-page: 160
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0060
  article-title: DeepHarmony: a deep learning approach to contrast harmonization across scanner changes
  publication-title: Magn. Reson. Imaging
  doi: 10.1016/j.mri.2019.05.041
– year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0091
  article-title: Standardization of multicentric image datasets with generative adversarial networks
– volume: 31
  start-page: 2272
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0149
  article-title: How can we combat multicenter variability in MR radiomics? Validation of a correction procedure
  publication-title: Eur. Radiol.
  doi: 10.1007/s00330-020-07284-9
– volume: 183
  start-page: 972
  year: 2018
  ident: 10.1016/j.neuroimage.2023.120125_bib0082
  article-title: Extending the human connectome project across ages: imaging protocols for the lifespan development and aging projects
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2018.09.060
– volume: 16
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0183
  article-title: The impact of harmonization on radiomic features in Parkinson's disease and healthy controls: a multicenter study
  publication-title: Front. Neurosci.
  doi: 10.3389/fnins.2022.1012287
– volume: 73
  start-page: 31
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0195
  article-title: A deep learning-based method for improving reliability of multicenter diffusion kurtosis imaging with varied acquisition protocols
  publication-title: Magn. Reson. Imaging
  doi: 10.1016/j.mri.2020.08.001
– volume: 322
  start-page: 336
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0204
  article-title: Neuroimaging findings in US government personnel with possible exposure to directional phenomena in Havana, Cuba
  publication-title: JAMA
  doi: 10.1001/jama.2019.9269
– volume: 25
  start-page: 3208
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0033
  article-title: White matter abnormalities across the lifespan of schizophrenia: a harmonized multi-site diffusion MRI study
  publication-title: Mol. Psychiatry
  doi: 10.1038/s41380-019-0509-y
– volume: 17
  start-page: 1510
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0153
  article-title: Making big data open: data sharing in neuroimaging
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.3818
– volume: 15
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0159
  article-title: Improving between-group effect size for multi-site functional connectivity data via site-wise de-meaning
  publication-title: Front. Computat. Neurosci.
– volume: 13
  start-page: 3000
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0119
  article-title: Impact of preprocessing and harmonization methods on the removal of scanner effects in brain MRI radiomic features
  publication-title: Cancers
  doi: 10.3390/cancers13123000
– start-page: 255
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0218
  article-title: Unsupervised domain adaptation via disentangled representations: application to cross-modality liver segmentation
– volume: 206
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0044
  article-title: Multi-site harmonization of 7 tesla MRI neuroimaging protocols
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.116335
– start-page: 166
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0191
  article-title: Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches
– volume: 134
  start-page: 281
  year: 2016
  ident: 10.1016/j.neuroimage.2023.120125_bib0107
  article-title: Power estimation for non-standardized multisite studies
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.03.051
– volume: 10
  start-page: 15496
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0046
  article-title: Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-020-72535-0
– volume: 15
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0013
  article-title: Deep learning in large and multi-site structural brain MR imaging datasets
  publication-title: Front. Neuroinformat.
– year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0115
  article-title: Impact of ComBat harmonization on PET radiomics-based tissue classification: a dual-center PET/MR and PET/CT study
  publication-title: J. Nucl. Med.: Off. Publ., Soc. Nucl. Med.
  doi: 10.2967/jnumed.121.263102
– volume: 18
  start-page: 661
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0170
  article-title: Uses of human MR and PET imaging in research of neurodegenerative brain diseases
  publication-title: Neurotherapeutics
  doi: 10.1007/s13311-021-01030-9
– volume: 12
  start-page: 284
  year: 2018
  ident: 10.1016/j.neuroimage.2023.120125_bib0138
  article-title: Multi-site harmonization of diffusion MRI data in a registration framework
  publication-title: Brain Imaging Behav.
  doi: 10.1007/s11682-016-9670-y
– volume: 146
  start-page: 959
  year: 2017
  ident: 10.1016/j.neuroimage.2023.120125_bib0144
  article-title: Multisite reliability of MR-based functional connectivity
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.10.020
– start-page: 475
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0223
  article-title: Harmonization of infant cortical thickness using surface-to-surface cycle-consistent adversarial networks
– volume: 13
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0018
  article-title: A decentralized ComBat algorithm and applications to functional network connectivity
  publication-title: Front. Neurol.
  doi: 10.3389/fneur.2022.826734
– volume: 12
  start-page: 12532
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0025
  article-title: Minimising multi-centre radiomics variability through image normalisation: a pilot study
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-16375-0
– ident: 10.1016/j.neuroimage.2023.120125_bib0160
  doi: 10.1101/2022.07.13.499561
– volume: 208
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0155
  article-title: Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.116450
– volume: 17
  start-page: 143
  year: 2002
  ident: 10.1016/j.neuroimage.2023.120125_bib0177
  article-title: Fast robust automated brain extraction
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.10062
– volume: 220
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0072
  article-title: Neuroharmony: a new tool for harmonizing volumetric MRI data from unseen scanners
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2020.117127
– volume: 84
  start-page: 663
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0051
  article-title: A transfer-learning approach for accelerated MRI using deep neural networks
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.28148
– volume: 21
  start-page: 271
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0226
  article-title: Simulating ComBat: how batch correction can lead to the systematic introduction of false positive results in DNA methylation microarray studies
  publication-title: BMC Bioinf.
  doi: 10.1186/s12859-020-03559-6
– ident: 10.1016/j.neuroimage.2023.120125_bib0023
– volume: 6
  start-page: e05652
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0002
  article-title: Improving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities
  publication-title: Heliyon
  doi: 10.1016/j.heliyon.2020.e05652
– volume: 354
  start-page: 899
  year: 2006
  ident: 10.1016/j.neuroimage.2023.120125_bib0154
  article-title: A randomized, placebo-controlled trial of natalizumab for relapsing multiple sclerosis
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa044397
– volume: 22
  start-page: 115
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0065
  article-title: Harmonisation of scanner-dependent contrast variations in magnetic resonance imaging for radiation oncology, using style-blind auto-encoders
  publication-title: Phys. Imaging Radiat. Oncol.
  doi: 10.1016/j.phro.2022.05.005
– volume: 81
  start-page: 455
  year: 2013
  ident: 10.1016/j.neuroimage.2023.120125_bib0100
  article-title: Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA working group
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.04.061
– volume: 90
  start-page: 449
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0166
  article-title: Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.11.046
– volume: 95
  start-page: 232
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0074
  article-title: ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2014.03.034
– volume: 17
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0020
  article-title: Eliminating accidental deviations to minimize generalization error and maximize replicability: applications in connectomics and genomics
  publication-title: PLoS Comput. Biol.
  doi: 10.1371/journal.pcbi.1009279
– volume: 36
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0054
  article-title: Improved sensitivity and precision in multicentre diffusion MRI network analysis using thresholding and harmonization
  publication-title: NeuroImage. Clinical
  doi: 10.1016/j.nicl.2022.103217
– ident: 10.1016/j.neuroimage.2023.120125_bib0108
  doi: 10.1007/978-3-030-59728-3_68
– volume: 205
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0006
  article-title: Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.116210
– volume: 32
  start-page: 43
  year: 2018
  ident: 10.1016/j.neuroimage.2023.120125_bib0028
  article-title: The Adolescent Brain Cognitive Development (ABCD) study: imaging acquisition across 21 sites
  publication-title: Dev. Cognit. Neurosci.
  doi: 10.1016/j.dcn.2018.03.001
– volume: 28
  start-page: 468
  year: 2015
  ident: 10.1016/j.neuroimage.2023.120125_bib0073
  article-title: Multi-centre reproducibility of diffusion MRI parameters for clinical sequences in the brain
  publication-title: NMR Biomed.
  doi: 10.1002/nbm.3269
– volume: 93
  start-page: 73
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0081
  article-title: Contrastive semi-supervised harmonization of single-shell to multi-shell diffusion MRI
  publication-title: Magn. Reson. Imaging
  doi: 10.1016/j.mri.2022.06.004
– start-page: 83
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0158
  article-title: Neuroimaging harmonization using cGANs: image similarity metrics poorly predict cross-protocol volumetric consistency
– volume: 65
  start-page: 24TR02
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0049
  article-title: Harmonization strategies for multicenter radiomics investigations
  publication-title: Phys. Med. Biol.
  doi: 10.1088/1361-6560/aba798
– volume: 21
  start-page: 12
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0197
  article-title: A benchmark of batch-effect correction methods for single-cell RNA sequencing data
  publication-title: Genome Biol.
  doi: 10.1186/s13059-019-1850-9
– ident: 10.1016/j.neuroimage.2023.120125_bib0105
  doi: 10.1109/CVPR.2019.00453
– volume: 7
  start-page: 71398
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0120
  article-title: Fast and robust diffusion Kurtosis parametric mapping using a three-dimensional convolutional neural network
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2919241
– volume: 218
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0157
  article-title: Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2020.116956
– volume: 13
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0198
  article-title: Lifespan volume trajectories from non-harmonized T1-weighted MRI do not differ after site correction based on traveling human phantoms
  publication-title: Front. Neurol.
  doi: 10.3389/fneur.2022.826564
– volume: 202
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0079
  article-title: Image processing and analysis methods for the adolescent brain cognitive development study
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.116091
– volume: 9
  start-page: 395
  year: 2015
  ident: 10.1016/j.neuroimage.2023.120125_bib0066
  article-title: ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI
  publication-title: Front. Neurosci.
  doi: 10.3389/fnins.2015.00395
– volume: 124
  start-page: 442
  year: 2016
  ident: 10.1016/j.neuroimage.2023.120125_bib0104
  article-title: Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: a multicentric resting-state fMRI study
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2015.07.010
– volume: 435
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0050
  article-title: The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data
  publication-title: Behav. Brain Res.
  doi: 10.1016/j.bbr.2022.114058
– volume: 223
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0212
  article-title: Intensity warping for multisite MRI harmonization
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2020.117242
– volume: 161
  start-page: 149
  year: 2017
  ident: 10.1016/j.neuroimage.2023.120125_bib0069
  article-title: Harmonization of multi-site diffusion tensor imaging data
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.08.047
– volume: 9
  start-page: 37
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0205
  article-title: The German research consortium for the study of bipolar disorder (BipoLife): a magnetic resonance imaging study protocol
  publication-title: Int. J. Bipolar Disord.
  doi: 10.1186/s40345-021-00240-6
– volume: 13
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0221
  article-title: Diffusion MRI indices and their relation to cognitive impairment in brain aging: the updated multi-protocol approach in ADNI3
  publication-title: Front. Neuroinformat.
– volume: 12
  start-page: 12762
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0027
  article-title: AutoComBat: a generic method for harmonizing MRI-based radiomic features
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-16609-1
– volume: 264
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0151
  article-title: Sample size requirement for achieving multisite harmonization using structural brain MRI features
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2022.119768
– volume: 9
  start-page: 332
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0084
  article-title: A longitudinal multi-scanner multimodal human neuroimaging dataset
  publication-title: Sci. Data
  doi: 10.1038/s41597-022-01386-3
– volume: 66
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0193
  article-title: Evaluation of conventional and deep learning based image harmonization methods in radiomics studies
  publication-title: Phys. Med. Biol.
  doi: 10.1088/1361-6560/ac39e5
– volume: 12
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0215
  article-title: Common brain networks between major depressive-disorder diagnosis and symptoms of depression that are validated for independent cohorts
  publication-title: Front. Psychiatry
  doi: 10.3389/fpsyt.2021.667881
– volume: 261
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0181
  article-title: A comparison of methods to harmonize cortical thickness measurements across scanners and sites
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2022.119509
– volume: 11
  start-page: 622
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0194
  article-title: Valproate use is associated with posterior cortical thinning and ventricular enlargement in epilepsy patients
  publication-title: Front. Neurol.
  doi: 10.3389/fneur.2020.00622
– volume: 37
  start-page: 1238
  year: 2013
  ident: 10.1016/j.neuroimage.2023.120125_bib0127
  article-title: Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom
  publication-title: J. Magnet. Reson. Imaging: JMRI
  doi: 10.1002/jmri.23825
– volume: 222
  start-page: 10
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0202
  article-title: A multi-scanner study of subcortical brain volume abnormalities in schizophrenia
  publication-title: Psychiatry Res.
  doi: 10.1016/j.pscychresns.2014.02.011
– volume: 19
  start-page: 659
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0062
  article-title: The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
  publication-title: Mol. Psychiatry
  doi: 10.1038/mp.2013.78
– volume: 43
  start-page: 1179
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0036
  article-title: Mitigating site effects in covariance for machine learning in neuroimaging data
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.25688
– volume: 32
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0053
  article-title: Diffusion MRI harmonization enables joint-analysis of multicentre data of patients with cerebral small vessel disease
  publication-title: NeuroImage: Clin.
– start-page: 537
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0017
  article-title: Multi-site mild traumatic brain injury classification with machine learning and harmonization
– volume: 12
  start-page: 4493
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0096
  article-title: Generalized ComBat harmonization methods for radiomic features with multi-modal distributions and multiple batch effects
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-08412-9
– volume: 30
  start-page: 436
  year: 2006
  ident: 10.1016/j.neuroimage.2023.120125_bib0103
  article-title: Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2005.09.046
– volume: 26
  start-page: 490
  year: 2008
  ident: 10.1016/j.neuroimage.2023.120125_bib0135
  article-title: Effects of spatial smoothing on fMRI group inferences
  publication-title: Magn. Reson. Imaging
  doi: 10.1016/j.mri.2007.08.006
– volume: 66
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0130
  article-title: The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
  publication-title: Med. Image Anal.
  doi: 10.1016/j.media.2020.101714
– volume: 68
  start-page: 853
  year: 2011
  ident: 10.1016/j.neuroimage.2023.120125_bib0188
  article-title: Chronic divalproex sodium to attenuate agitation and clinical progression of Alzheimer disease
  publication-title: Arch. Gen. Psychiatry
  doi: 10.1001/archgenpsychiatry.2011.72
– volume: 221
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0143
  article-title: Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and results
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2020.117128
– volume: 12
  start-page: 21505
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0175
  article-title: Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-26083-4
– volume: 5
  start-page: 185
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0093
  article-title: A hitchhiker's guide to working with large, open-source neuroimaging datasets
  publication-title: Nat. Hum. Behav.
  doi: 10.1038/s41562-020-01005-4
– volume: 67
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0035
  article-title: Self-supervised learning for multi-center magnetic resonance imaging harmonization without traveling phantoms
  publication-title: Phys. Med. Biol.
  doi: 10.1088/1361-6560/ac7b66
– volume: 2
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0134
  article-title: Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: optimizing post-processing and application of ComBat
  publication-title: Neuroimage. Rep.
– volume: 86
  start-page: 544
  year: 2014
  ident: 10.1016/j.neuroimage.2023.120125_bib0168
  article-title: Neuroimaging of the Philadelphia neurodevelopmental cohort
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.07.064
– volume: 14
  year: 2020
  ident: 10.1016/j.neuroimage.2023.120125_bib0123
  article-title: A 3D fully convolutional neural network with top-down attention-guided refinement for accurate and robust automatic segmentation of amygdala and its subnuclei
  publication-title: Front. Neurosci.
  doi: 10.3389/fnins.2020.00260
– volume: 17
  start-page: 33
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0004
  article-title: Heterogeneous large datasets integration using bayesian factor regression
  publication-title: Bayesian Anal.
  doi: 10.1214/20-BA1240
– volume: 189
  start-page: 700
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120125_bib0214
  article-title: Reproducibility of functional brain alterations in major depressive disorder: evidence from a multisite resting-state functional MRI study with 1,434 individuals
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.01.074
– start-page: 2242
  year: 2017
  ident: 10.1016/j.neuroimage.2023.120125_bib0225
  article-title: Unpaired image-to-image translation using cycle-consistent adversarial networks
– volume: 54
  start-page: 1189
  year: 2021
  ident: 10.1016/j.neuroimage.2023.120125_bib0209
  article-title: Cross-scanner harmonization of neuromelanin-sensitive MRI for multisite studies
  publication-title: J. Magn. Reson. Imaging
  doi: 10.1002/jmri.27679
– start-page: 1
  year: 2022
  ident: 10.1016/j.neuroimage.2023.120125_bib0128
  article-title: Reproducible brain-wide association studies require thousands of individuals
  publication-title: Nature
– volume: 30
  start-page: 1418
  year: 2015
  ident: 10.1016/j.neuroimage.2023.120125_bib0182
  article-title: Graphical presentation of confounding in directed acyclic graphs
  publication-title: Nephrol. Dialy. Transplant.
  doi: 10.1093/ndt/gfu325
– volume: 80
  start-page: 62
  year: 2013
  ident: 10.1016/j.neuroimage.2023.120125_bib0203
  article-title: The WU-Minn human connectome project: an overview
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.05.041
– volume: 9349
  start-page: 12
  year: 2015
  ident: 10.1016/j.neuroimage.2023.120125_bib0136
  article-title: Harmonizing diffusion MRI data across multiple sites and scanners
– year: 2023
  ident: 10.1016/j.neuroimage.2023.120125_bib0077
  article-title: Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients
  publication-title: Int. J. Comput. Assisted Radiol. Surg.
  doi: 10.1007/s11548-022-02828-4
SSID ssj0009148
Score 2.6693583
SecondaryResourceType review_article
Snippet •Batch effects introduce significant confounding in multi-batch neuroimaging data.•Removal of batch effects is critical for reproducibility and...
Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex...
Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, datasets, etc.) are increasingly used alongside complex...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
elsevier
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 120125
SubjectTerms Algorithms
Benchmarking
Biomarkers
Brain - diagnostic imaging
Brain - pathology
Clinical trials
Computed tomography
Data collection
Deep Learning
Humans
Machine learning
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Medical imaging
Neuroimaging
Neurosciences
Reproducibility of Results
Scanners
Statistics
SummonAdditionalLinks – databaseName: Biological Science Database (ProQuest)
  dbid: M7P
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagINQLj_IKFGQkrilx7KxtOKCCqECCqgdAvVmOH-0imiy7Lb-EH8z4kWwDElqJ68YTOd7PM5_t8TcIPfeNkWFlURJvRck0paWmQOSkbWFeagjRMeX_60d-eCiOj-VR3nBb5bTKwSdGR217E_bIX9QC1k2AF0ZeL36UoWpUOF3NJTSuomtBJaGOqXtHa9FdwtJVuIaWghCZM3lSflfUi5yfwazdCyXE9wiEwlAw-1J4iir-kyj1Nwv9M5nyUnQ6uPW_33Ub3cy8FO8nIN1BV1y3g258yifvO2g7sNIk6nwX_foQPggH1et-uMj5Eu_jdA8G9x6vhtbwTt1ZbJ1b4Fyh4gSnstUrDIQZbM7ipgZuISic4pxfEo3WSuTBAhx2skhNwEtPO3APfTl49_nt-zKXdyjNTPLz0jvBvePAHxiprZ8xK3QjnNTC65nhrbPUwOK99ZzUTjOhHWt0VWkNrJQ1MGz30VbXd-4hwtwA3gwHeqWBojZEw8LMk-CxnAfGIwvEh39Vmax9HkpwfFdDkts3tcaDCnhQCQ8FIqPlIul_bGDzJgBnbB8UvOMP_fJEZYegZtYZObOUtZoCKWzaurLSUQuMEbrtdYHkADs1XJIFtw4vmm_QgVejbSZSiSBtaL07IFVlh7ZSa5gW6Nn4GFxROF_SnesvQpuqgSU9FaxAD9KkGMeA8koEbcoCicl0mQzS9Ek3P41y50CBG04Zf_Tvfj1G2-EjUir1Lto6X164J-i6-QlwXz6NjuE32GNvkw
  priority: 102
  providerName: ProQuest
Title Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
URI https://www.clinicalkey.com/#!/content/1-s2.0-S1053811923002719
https://dx.doi.org/10.1016/j.neuroimage.2023.120125
https://www.ncbi.nlm.nih.gov/pubmed/37084926
https://www.proquest.com/docview/2813231941
https://www.proquest.com/docview/2805026384
https://pubmed.ncbi.nlm.nih.gov/PMC10257347
https://doaj.org/article/6dec96d34ba34395b20d9e3d639003fa
Volume 274
WOSCitedRecordID wos001054270700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1095-9572
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0009148
  issn: 1053-8119
  databaseCode: DOA
  dateStart: 20200101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVESC
  databaseName: Elsevier SD Freedom Collection Journals 2021
  customDbUrl:
  eissn: 1095-9572
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0009148
  issn: 1053-8119
  databaseCode: AIEXJ
  dateStart: 20200101
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
– providerCode: PRVPQU
  databaseName: Biological Science Database
  customDbUrl:
  eissn: 1095-9572
  dateEnd: 20251013
  omitProxy: false
  ssIdentifier: ssj0009148
  issn: 1053-8119
  databaseCode: M7P
  dateStart: 19980501
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/biologicalscijournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Health & Medical Collection
  customDbUrl:
  eissn: 1095-9572
  dateEnd: 20251013
  omitProxy: false
  ssIdentifier: ssj0009148
  issn: 1053-8119
  databaseCode: 7X7
  dateStart: 20020801
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/healthcomplete
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 1095-9572
  dateEnd: 20251013
  omitProxy: false
  ssIdentifier: ssj0009148
  issn: 1053-8119
  databaseCode: BENPR
  dateStart: 19980501
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Psychology Database (ProQuest)
  customDbUrl:
  eissn: 1095-9572
  dateEnd: 20251013
  omitProxy: false
  ssIdentifier: ssj0009148
  issn: 1053-8119
  databaseCode: M2M
  dateStart: 20020801
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/psychology
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB5BQYgL4k2grIzENSWJndiGU4tagcSuVgjQ3iwntttFNFv1wS_hBzN-JN2FA3vg4kPiiRx7PPNNMv4G4LWrO-kji7x0RuRMU5prikBOmhb3pUYXHVL-v33is5lYLOR8rdSXzwmL9MBx4t40xnayMZS1mqLzrNuqMNJSg54VFdIFaFRwOQRTA90uovyUtxOzuQI75PIU9-ieLxi-V6Lj8-Wx15xR4Ozf8El_Y84_UyfXfNHRfbiXQCTZj4N_ADds_xDuTNNv8kfw66MfAvGs1KvhoOVbsk_iORWycsSfIwoUzfgY3RtirD0jqYLEMYllpS8IAlqUOQ0fHUiLRvuEpPyPIHTNFO4l0KBGidgFrejmAB7D16PDL-8_5Kn8Qt41kl_mzgruLEf_zsrKuIYZoWthpRZONx1vraEdBtet42VlNRPasloXhdaIGlktSvoEdvpVb58B4R3qQ8cR_miEkHWpMXBypbco1iEikRnwYR1Ul7jJfYmMH2pIQvuurldQ-RVUcQUzKEfJs8jPsYXMgV_qsb9n2A4XUO9U0jv1L73LQA6KooZDrGh28UHLLQbwbpRNQCcCmC2ldwe9VMngXKgK5xuhumRlBq_G22gq_P8f3dvVle9T1BhyU8EyeBrVeJwDygvhuSMzEBsKvjFJm3f65UmgI0eIWnPK-PP_Ma0v4K5_1ZgQvQs7l-dX9iXc7n7ipjifwE2-4KEVE7h1cDibf56EjY_ttJr6ls9_A720YNo
linkProvider Directory of Open Access Journals
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VgqAXHuVlKLBIcHTx2uvsGoRQeVSNmlQcCuptWXvXbRC1Q9KC-B_8Dn4jM147aUBCufTANd6xNuuZ-b6x5wHwpEyLjCKLkJdWhcIkSWgSJHKZzdEuDUJ0k_L_cSD39tTBQfZ-BX51tTCUVtn5xMZR27qgd-TPYoVxE-qL4K_GX0OaGkVfV7sRGl4tdt2P7xiyTV_23-LzfRrH2-_23-yE7VSBsOhl8iQsnZKlkwhbgse27AmrTKpcZlRpeoXMnU0KjBnzUvLYGaGME6mJImOQDIkUd4H3vQAXBZWMUqpgPJw3-eXCl96lSag4z9rMIZ9P1vSnHB2jl9ikkeWbHKGXBnSfgcNmasACKv7Nev9M3jyDhtvX_rdzvA5XW97Ntryh3IAVV63D5WGbWbAOa8S6fdPqm_CzTwfIqKt33RWqPmdbzNf5sLpk02413tNUllnnxqydwHHI_FjuKcOAAGWOm5c2LEfQO2Jt_kwjNO-0ThIISF7CL0EUWtzALfhwLgd0G1arunJ3gckC7amQSB8NUvCUGww8S04e2ZXI6LIAZKdFumh7u9OIkS-6S-L7rOf6p0n_tNe_APhMcuz7mywh85oUdbaeOpQ3P9STQ906PN2zrsh6NhG5SZD0pnkc2cwlFhkxbrs0AWSdmuuuCBhhC280WmIDL2ayLVH0BHBJ6Y3OMnTrsKd6bhYBPJ5dRldL389M5epTWhOlUYyAJQK4441wdgaJjBT13gxALZjnwiEtXqlGR007d6T4qUyEvPfvfT2CKzv7w4Ee9Pd278Ma_SGfNr4BqyeTU_cALhXfUPUnDxunxODTeVvvb8oEzX4
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1fb9MwED-NDk174c_4FxhgJHjMFidOnYAQ2tgqqo2qQoD2ZpzY3opYUtoNxPfg0_DpOMdOu4KE-rIHXhOf5Th39_tdcr4DeGrSMreRRUiNykImkySUCRK5XBVolxIhukn5_3jIB4Ps6CgfrsCv9iyMTatsfWLjqFVd2m_k23GGcRPqC6PbxqdFDPd6r8ZfQ9tByv5pbdtpOBU50D--Y_g2fdnfw3f9LI57--9fvwl9h4Gw7Ob8LDQ640ZzhDBGY2W6TGUyzXQuMyO7JS-0SkqMHwvDaawly6RmqYwiKZEYsRRXhPNegVWOJIN1YHV3fzB8Ny_5S5k7iJcmYUZp7vOIXHZZU61ydIo-Y8s2MN-iCMS2XfcFcGx6CCxg5N8c-M9UzgvY2Lv-P-_qDbjmGTnZcSZ0E1Z0tQFrb33OwQasWz7uylnfgp99u5nE1vuu2yOsz8kOcSeASG3ItB2Nc8pKEaX1mPjeHMfENeyeEgwVUOa0-ZxDCoTDE-IzaxqheQ12K4FQ5STcEMSnxQXchg-XskF3oFPVlb4HhJdoaSVHYimRnKdUYkhqqPXV2iDXywPgrUaJ0ld9t81Hvog2ve-zmOuisLoonC4GQGeSY1f5ZAmZXau0s_G2dnlzoZ4cC-8KRVfpMu-qhBUyQTqcFnGkcp0o5Mq4bCMDyFuVF-3xYAQ0nGi0xAJezGQ9hXTUcEnpzdZKhHflUzE3kQCezG6jE7Z_1mSl63M7JkqjGKGMBXDXGeRsDxIeZbYqZwDZgqkubNLinWp00hR6R_Kf8oTx-_9e12NYQ6MVh_3BwQNYt8_j8sk3oXM2OdcP4Wr5DTV_8sh7KAKfLtt8fwN-zteY
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Image+harmonization%3A+A+review+of+statistical+and+deep+learning+methods+for+removing+batch+effects+and+evaluation+metrics+for+effective+harmonization&rft.jtitle=NeuroImage+%28Orlando%2C+Fla.%29&rft.au=Hu%2C+Fengling&rft.au=Chen%2C+Andrew+A.&rft.au=Horng%2C+Hannah&rft.au=Bashyam%2C+Vishnu&rft.date=2023-07-01&rft.issn=1053-8119&rft.eissn=1095-9572&rft.volume=274&rft.spage=120125&rft.epage=120125&rft_id=info:doi/10.1016%2Fj.neuroimage.2023.120125&rft_id=info%3Apmid%2F37084926&rft.externalDocID=PMC10257347
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1053-8119&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1053-8119&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1053-8119&client=summon