Deep similarity learning for multimodal medical images
Gespeichert in:
| Veröffentlicht in: | Computer methods in biomechanics and biomedical engineering. Jg. 6; H. 3; S. 248 - 252 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
04.05.2018
|
| ISSN: | 2168-1163, 2168-1171 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Author | Zheng, Yefeng Cheng, Xi Zhang, Li |
|---|---|
| Author_xml | – sequence: 1 givenname: Xi surname: Cheng fullname: Cheng, Xi organization: Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, USA – sequence: 2 givenname: Li surname: Zhang fullname: Zhang, Li organization: Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, USA – sequence: 3 givenname: Yefeng surname: Zheng fullname: Zheng, Yefeng organization: Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ, USA |
| BookMark | eNqFkE1LxDAQhoOs4LruTxD6B1ozTZOmeJL1Exa86DmkyWSJpO2SxMP-e7u4evDiXN5h4BlenkuyGKcRCbkGWgGV9KYGIQEEq2oKvAJgvO66M7I83kuAFha_u2AXZJ3SB51HCsEEXxJxj7gvkh980NHnQxFQx9GPu8JNsRg-Q_bDZHUoBrTezOkHvcN0Rc6dDgnXp1yR98eHt81zuX19etncbUtTc5ZL6I1GbI2gbi4red2D7hyTrq9NJ3kjpAXX6lZjb_tGIhNNa3kHiNw2HbNsRW6__5o4pRTRKeOzzn4ac9Q-KKDqaEH9WFBHC-pkYab5H3of5_7x8A_3BYVpYZo |
| CitedBy_id | crossref_primary_10_1109_ACCESS_2020_2965885 crossref_primary_10_3390_rs15174128 crossref_primary_10_1002_mp_15420 crossref_primary_10_3389_fmats_2024_1431179 crossref_primary_10_1002_jemt_24878 crossref_primary_10_1109_ACCESS_2020_3016780 crossref_primary_10_1038_s41598_021_81044_7 crossref_primary_10_1109_ACCESS_2020_3016782 crossref_primary_10_1007_s13735_021_00218_1 crossref_primary_10_1016_j_imu_2024_101540 crossref_primary_10_1080_19479832_2019_1707720 crossref_primary_10_1016_j_neucom_2021_11_023 crossref_primary_10_1080_01969722_2024_2343992 crossref_primary_10_1287_ijoc_2021_1117 crossref_primary_10_1016_j_inffus_2021_02_012 crossref_primary_10_1007_s11277_022_09864_y crossref_primary_10_1049_iet_ipr_2018_5389 crossref_primary_10_1111_exsy_13101 crossref_primary_10_1080_21681163_2021_1998925 crossref_primary_10_1109_JBHI_2023_3270199 crossref_primary_10_1016_j_cmpb_2021_106261 crossref_primary_10_1038_s42005_020_00444_9 crossref_primary_10_1109_TGRS_2020_2992597 crossref_primary_10_1109_TRPMS_2021_3107454 crossref_primary_10_3390_s24051591 crossref_primary_10_1016_j_media_2022_102444 crossref_primary_10_1063_5_0180494 crossref_primary_10_1007_s00521_018_3441_1 crossref_primary_10_1002_jmrs_369 crossref_primary_10_1109_TFUZZ_2024_3371678 crossref_primary_10_1186_s40658_021_00426_y crossref_primary_10_1007_s11063_018_09976_2 crossref_primary_10_1080_03036758_2023_2240466 crossref_primary_10_1109_ACCESS_2023_3313977 crossref_primary_10_3390_app10031171 crossref_primary_10_3390_s20185105 crossref_primary_10_1007_s11517_024_03160_6 crossref_primary_10_1002_acm2_14177 crossref_primary_10_1016_j_jneumeth_2018_12_003 crossref_primary_10_1007_s00138_020_01060_x crossref_primary_10_1007_s00521_021_06488_4 crossref_primary_10_1109_ACCESS_2021_3120306 crossref_primary_10_1007_s10489_021_02196_7 crossref_primary_10_3390_foods12010084 crossref_primary_10_1109_ACCESS_2024_3404242 crossref_primary_10_1007_s11277_024_11428_1 crossref_primary_10_1088_1361_6560_ac195e crossref_primary_10_1109_ACCESS_2022_3199379 crossref_primary_10_1007_s11517_023_02941_9 crossref_primary_10_3390_s25154604 crossref_primary_10_1016_j_ejca_2023_113504 crossref_primary_10_1088_1361_6560_ab843e crossref_primary_10_1007_s12021_020_09483_7 crossref_primary_10_1007_s11548_018_1835_2 |
| Cites_doi | 10.1016/S0031-3203(98)00091-0 10.1016/j.neuroimage.2014.06.077 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION |
| DOI | 10.1080/21681163.2015.1135299 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2168-1171 |
| EndPage | 252 |
| ExternalDocumentID | 10_1080_21681163_2015_1135299 |
| GroupedDBID | 0BK 30N 4.4 AAGDL AAJMT AALDU AAMIU AAPUL AAQRR AAYXX ABLIJ ABPAQ ABXUL ABXYU ACGFS ADCVX ADGTB AEISY AFRVT AGDLA AHDZW AIJEM AIYEW AKBVH AKOOK ALMA_UNASSIGNED_HOLDINGS ALQZU AQTUD BLEHA CCCUG CITATION DEAQA EBS EJD EUPTU GTTXZ H13 HZ~ KYCEM M4Z O9- RIG RNANH ROSJB RTWRZ SNACF SOJIQ TBQAZ TDBHL TEN TFL TFT TFW TTHFI TUROJ |
| ID | FETCH-LOGICAL-c253t-1bcaee7c60f108852b1a9f38fb2c985468d1f7a7aebdb48e3647d591ee5d493d3 |
| ISICitedReferencesCount | 124 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000437477400003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2168-1163 |
| IngestDate | Sat Nov 29 06:34:09 EST 2025 Tue Nov 18 22:06:16 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c253t-1bcaee7c60f108852b1a9f38fb2c985468d1f7a7aebdb48e3647d591ee5d493d3 |
| PageCount | 5 |
| ParticipantIDs | crossref_citationtrail_10_1080_21681163_2015_1135299 crossref_primary_10_1080_21681163_2015_1135299 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-05-04 |
| PublicationDateYYYYMMDD | 2018-05-04 |
| PublicationDate_xml | – month: 05 year: 2018 text: 2018-05-04 day: 04 |
| PublicationDecade | 2010 |
| PublicationTitle | Computer methods in biomechanics and biomedical engineering. |
| PublicationYear | 2018 |
| References | Bronstein MM (CIT0001) 2010 Srivastava N (CIT0007) 2012 Kavukcuoglu K (CIT0002) 2010 Palm RB (CIT0005) 2012 Lee D (CIT0003) 2009 So RWK (CIT0006) 2010 Vincent P (CIT0010) 2010; 11 CIT0009 Ngiam J (CIT0004) 2011 CIT0008 |
| References_xml | – ident: CIT0008 doi: 10.1016/S0031-3203(98)00091-0 – start-page: 2231 year: 2012 ident: CIT0007 publication-title: NIPS – start-page: 1090 year: 2010 ident: CIT0002 publication-title: NIPS – start-page: 3594 year: 2010 ident: CIT0001 publication-title: CVPR – volume-title: Prediction as a candidate for learning deep hierarchical models of data year: 2012 ident: CIT0005 – start-page: 368 year: 2010 ident: CIT0006 publication-title: ISBI – volume: 11 start-page: 3371 year: 2010 ident: CIT0010 publication-title: J Mach Learn Res – ident: CIT0009 doi: 10.1016/j.neuroimage.2014.06.077 – start-page: 186 year: 2009 ident: CIT0003 publication-title: CVPR – year: 2011 ident: CIT0004 publication-title: International Conference on Machine Learning (ICML) |
| SSID | ssj0000866365 |
| Score | 2.4416552 |
| SourceID | crossref |
| SourceType | Enrichment Source Index Database |
| StartPage | 248 |
| Title | Deep similarity learning for multimodal medical images |
| Volume | 6 |
| WOSCitedRecordID | wos000437477400003&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: PRVAWR databaseName: Taylor & Francis customDbUrl: eissn: 2168-1171 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000866365 issn: 2168-1163 databaseCode: TFW dateStart: 20130301 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1NT9wwELW2C4dyqPhoxUdBOXCrQtdx7NhH1Bb1gBCHRV1Oq9iZSJHYsGIXtL-A3804dhIDFSqHXqKVFc8m-2bHY2vmPUKOGTWqVNrECS_SOM00jyUtR3GeSwbaFJiUNEifZxcXcjJRl4PBY9sL83CT1bVcrdT8v0KNYwi2bZ19B9ydURzAzwg6XhF2vP4T8D8B5t8W1azCPWugC-HqJZv6wdlt4XtGLEDVDEPKIkxSW6UHLy_dVMw2bfq2S7hldXZ9-40F6DkNT_pyAXBRZFK9Ops-D4b8XddQgl9D_REElU3BX9pHqoQK3IpSH6kgHHP6Km2oFYFHsTBsOrZNvwInjtP2VXB31ZDWsP0uW5bHrSQNT5zE0nMy7ReLXFd6SD0namtmas1MvZkPZC3JuLLRcXz2pzurw22fYI0qafembTOYHH3_6wMFaU6Qr4w3ySe_0YhOnYNskQHU22QjoJ_cIcK6StS7StS6SoSuEvWuEnmgI-cqn8nV2a_xj9-x19GITcLZMqba5ACZEaMSH1jyRNNclUyWOjFK8lTIgpZZnuWgC51KsJICBVcUAP-_ihXsCxnWtzXskshATiFleKfWKQfQwtBRyURBRYapNOyRtH3tqfEk81br5Gb65u--R066aXPHsvL2hP33TjggH3vP_UqGy7t7OCTr5mFZLe6OGrifAMBUb-M |
| linkProvider | Taylor & Francis |
| 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=Deep+similarity+learning+for+multimodal+medical+images&rft.jtitle=Computer+methods+in+biomechanics+and+biomedical+engineering.&rft.au=Cheng%2C+Xi&rft.au=Zhang%2C+Li&rft.au=Zheng%2C+Yefeng&rft.date=2018-05-04&rft.issn=2168-1163&rft.eissn=2168-1171&rft.volume=6&rft.issue=3&rft.spage=248&rft.epage=252&rft_id=info:doi/10.1080%2F21681163.2015.1135299&rft.externalDBID=n%2Fa&rft.externalDocID=10_1080_21681163_2015_1135299 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2168-1163&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2168-1163&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2168-1163&client=summon |