Suchergebnisse - "Pattern Recognition, Automated methods"

Pattern Recognition of Illicit E-Waste Misclassification in Global Trade Data

Autoren: BIN RAMLI, MUHAMMAD SUKRI

Schlagwörter: FOS: Economics and business, General Economics (econ.GN), Pattern Recognition, Automated/methods, Economics, General Economics, Built Environment/statistics & numerical data

Zugangs-URL: http://arxiv.org/abs/2509.21395

Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography

Autoren: Derradji, Y. Mosinska, A. Apostolopoulos, S. et al.

Quelle: Sci Rep
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific reports, vol. 11, no. 1, pp. 21893

Schlagwörter: Aged, 80 and over, Male, Observer Variation, Science, Retinal Pigment Epithelium, Article, Pattern Recognition, Automated, Macular Degeneration, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Geographic Atrophy, Aged, Algorithms, Female, Geographic Atrophy/diagnostic imaging, Humans, Macular Degeneration/diagnostic imaging, Neural Networks, Computer, Pattern Recognition, Automated/methods, Pattern Recognition, Automated/statistics & numerical data, Retinal Pigment Epithelium/diagnostic imaging, Tomography, Optical Coherence/methods, Tomography, Optical Coherence/statistics & numerical data, Medicine, Tomography, Optical Coherence

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.nature.com/articles/s41598-021-01227-0.pdf
https://pubmed.ncbi.nlm.nih.gov/34751189
https://doaj.org/article/99cc5b247c774ecc9830aa9e194367de
http://europepmc.org/article/MED/34751189
http://www-nature-com-443.webvpn.bjmu.tsg211.com/articles/s41598-021-01227-0.pdf
http://www-nature-com-443.webvpn.bjmu.tsg211.com/articles/s41598-021-01227-0
https://www.nature.com/articles/s41598-021-01227-0.pdf
https://www.nature.com/articles/s41598-021-01227-0
https://serval.unil.ch/notice/serval:BIB_4CA55724AC15
https://serval.unil.ch/resource/serval:BIB_4CA55724AC15.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_4CA55724AC158

One registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI

Autoren: Arabi, Hossein Zaidi, Habib

Quelle: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 43, No 11 (2016) pp. 2021-35
Arabi, H & Zaidi, H 2016, ' One registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI ', European Journal of Nuclear Medicine and Molecular Imaging, vol. 43, no. 11, pp. 2021-2035 . https://doi.org/10.1007/s00259-016-3422-5
Eur J Nucl Med Mol Imaging
European journal of nuclear medicine and molecular imaging

Schlagwörter: Attenuation map, Male, Tomography, X-Ray Computed/methods, SEGMENTATION, DEFORMATIONS, Multimodal Imaging, Magnetic Resonance Imaging/methods, Pattern Recognition, Automated, 0302 clinical medicine, Computer-Assisted/methods, Whole Body Imaging, BRAIN, Tomography, 616.0757, Magnetic Resonance Imaging, X-Ray Computed/methods, 3. Good health, PET-MRI, Female, Atlas, Image Enhancement/methods, Artifacts, Multimodal Imaging/methods, Algorithms, Attenuation correction, STRATEGIES, IMAGES, Automated/methods, Pattern Recognition, Whole Body Imaging/methods, ddc:616.0757, Sensitivity and Specificity, CLASSIFICATION, Bone and Bones, IMAGING-GUIDED ATTENUATION, 03 medical and health sciences, SYSTEMS, Image Interpretation, Computer-Assisted, Humans, Image Interpretation, Aged, Pattern Recognition, Automated/methods, Image Interpretation, Computer-Assisted/methods, Bone and Bones/diagnostic imaging, Reproducibility of Results, QUANTIFICATION, Positron-Emission Tomography/methods, Image Enhancement, PET/MRI, Hybrid imaging, Positron-Emission Tomography, Subtraction Technique, Tomography, X-Ray Computed

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/27260522
https://archive-ouverte.unige.ch/unige:90683
https://link.springer.com/content/pdf/10.1007%2Fs00259-016-3422-5.pdf
http://findresearcher.sdu.dk/portal/da/publications/one-registration-multiatlasbased-pseudoct-generation-for-attenuation-correction-in-petmri(bf34977b-3f28-4846-b0e9-ea1cfc42dd61).html
https://www.ncbi.nlm.nih.gov/pubmed/27260522
https://research.rug.nl/en/publications/one-registration-multi-atlas-based-pseudo-ct-generation-for-atten
https://core.ac.uk/display/74465024
https://archive-ouverte.unige.ch/unige:90683
https://portal.findresearcher.sdu.dk/da/publications/bf34977b-3f28-4846-b0e9-ea1cfc42dd61

Myocardial blood flow quantification by Rb-82 cardiac PET/CT: A detailed reproducibility study between two semi-automatic analysis programs

Autoren: Dunet, V. Klein, R. Allenbach, G. et al.

Quelle: J Nucl Cardiol
Journal of nuclear cardiology, vol. 23, no. 3, pp. 499-510

Schlagwörter: Male, Algorithms, Blood Flow Velocity, Coronary Artery Disease/diagnostic imaging, Coronary Artery Disease/physiopathology, Coronary Circulation, Female, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Machine Learning, Middle Aged, Myocardial Perfusion Imaging/methods, Pattern Recognition, Automated/methods, Positron Emission Tomography Computed Tomography/methods, Radiopharmaceuticals, Reproducibility of Results, Rubidium Radioisotopes, Sensitivity and Specificity, Software, PET, accuracy, agreement, comparison, concordance, myocardial perfusion, precision, quantification, rubidium-82, Myocardial Perfusion Imaging, Coronary Artery Disease, Image Enhancement, Pattern Recognition, Automated, Radiology Nuclear Medicine and imaging, Positron Emission Tomography Computed Tomography, Image Interpretation, Computer-Assisted, Original Article, Cardiology and Cardiovascular Medicine

Dateibeschreibung: application/pdf

Zugangs-URL: https://link.springer.com/content/pdf/10.1007%2Fs12350-015-0151-2.pdf
https://pubmed.ncbi.nlm.nih.gov/25995182
https://pubmed.ncbi.nlm.nih.gov/25995182
https://paperity.org/p/67814526/myocardial-blood-flow-quantification-by-rb-82-cardiac-pet-ct-a-detailed-reproducibility
https://serval.unil.ch/resource/serval:BIB_03688DBECF5F.P001/REF.pdf
https://serval.unil.ch/en/notice/serval:BIB_03688DBECF5F
https://link.springer.com/content/pdf/10.1007%2Fs12350-015-0151-2.pdf
http://europepmc.org/articles/PMC4867775
https://serval.unil.ch/resource/serval:BIB_03688DBECF5F.P001/REF.pdf
https://serval.unil.ch/notice/serval:BIB_03688DBECF5F
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_03688DBECF5F8

Unbiased Group-Wise Image Registration: Applications in Brain Fiber Tract Atlas Construction and Functional Connectivity Analysis

Autoren: Ross, TJ Shin, W Gu, H et al.

Quelle: Journal of Medical Systems. 35:921-928

Schlagwörter: Group-wise image registration, Pattern Recognition, Automated - Methods, Brain, Image Enhancement, Magnetic Resonance Imaging, Pattern Recognition, Automated, 03 medical and health sciences, Nerve Fibers, 0302 clinical medicine, DTI, Brain - Anatomy & Histology, Fiber tract, Humans, Resting-state fMRI, Nerve Fibers - Physiology, Algorithms, Fractional anisotropy

Zugangs-URL: https://europepmc.org/articles/pmc2987551?pdf=render
https://pubmed.ncbi.nlm.nih.gov/20703687
https://link.springer.com/content/pdf/10.1007%2Fs10916-010-9509-9.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987551
https://dblp.uni-trier.de/db/journals/jms/jms35.html#GengGSRY11
https://link.springer.com/article/10.1007/s10916-010-9509-9
https://link.springer.com/article/10.1007/s10916-010-9509-9/fulltext.html
http://hub.hku.hk/handle/10722/169887
http://hdl.handle.net/10722/169887

Identifying projected clusters from gene expression profiles

Autoren: Cheung, DW Yip, KY Ng, MK et al.

Quelle: Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering. :259-266

Schlagwörter: 0301 basic medicine, 0206 medical engineering, Gene Expression Regulation - Physiology, Health Informatics, 02 engineering and technology, Pattern Recognition, Models, Biological, Pattern Recognition, Automated, 03 medical and health sciences, Models, Artificial Intelligence, Animals, Cluster Analysis, Humans, Data mining, Oligonucleotide Array Sequence Analysis, Oligonucleotide Array Sequence Analysis - Methods, Pattern Recognition, Automated - Methods, Gene Expression Profiling, Automated - Methods, Biological, Gene Expression Profiling - Methods, Computer Science Applications, Signal Transduction - Physiology, Projected clustering, Gene Expression Regulation, Gene expression, Algorithms, Signal Transduction

Dateibeschreibung: 6619 bytes; 327803 bytes; 2254 bytes; text/plain; application/pdf

Zugangs-URL: http://hub.hku.hk/bitstream/10722/46597/1/103275.pdf
https://pubmed.ncbi.nlm.nih.gov/15488748
http://hdl.handle.net/10722/46597
http://hdl.handle.net/10722/152405

Real-time comparison of conventional direct control and pattern recognition myoelectric control in a two-dimensional Fitts' law style test

Autoren: Wurth, Sophie Marie Marthe Hargrove, Levi J

Quelle: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :3630-3633

Schlagwörter: Movement, Muscles, 0206 medical engineering, Artificial Limbs, Pilot Projects, 02 engineering and technology, Prosthesis Design, Pattern Recognition, Automated, Pattern Recognition, Automated / methods, 03 medical and health sciences, Muscles / physiology, 0302 clinical medicine, Electricity, Humans

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/24110516
http://ieeexplore.ieee.org/document/6610329/
https://www.scholars.northwestern.edu/en/publications/real-time-comparison-of-conventional-direct-control-and-pattern-r-2
https://doi.org/10.1109/EMBC.2013.6610329
https://ieeexplore.ieee.org/document/6610329/
https://www.ncbi.nlm.nih.gov/pubmed/24110516
https://www.scholars.northwestern.edu/en/publications/real-time-comparison-of-conventional-direct-control-and-pattern-r
https://archive-ouverte.unige.ch/unige:181708
https://doi.org/10.1109/embc.2013.6610329

Development of Mice with Brain-Specific Deletion of Floxed Glud1 (Glutamate Dehydrogenase 1) Using Cre Recombinase Driven by the Nestin Promoter

Autoren: Karaca Emre, Melis Maechler, Pierre

Quelle: Neurochemical Research, Vol. 2, No 5 (2013) pp. 284-90
Neurochemical research

Schlagwörter: Male, 0301 basic medicine, Axons/chemistry/physiology, 12. Responsible consumption, Brain Chemistry/physiology, Nestin, Mice, 03 medical and health sciences, Glutamate Dehydrogenase, Neural Pathways/chemistry/physiology, Animals, Humans, ddc:612, Promoter Regions, Genetic, Sequence Deletion, 0303 health sciences, Pattern Recognition, Automated/methods, Integrases, Brain, Middle Aged, 3. Good health, Brain/anatomy & histology/physiology, Receptors, Glutamate, Nerve Fibers, Myelinated/chemistry/physiology, Brain Mapping/instrumentation/methods

Dateibeschreibung: application/pdf

Zugangs-URL: http://doc.rero.ch/record/325989/files/11064_2013_Article_1041.pdf
https://pubmed.ncbi.nlm.nih.gov/23595828
https://link.springer.com/article/10.1007/s11064-013-1041-0
https://rd.springer.com/article/10.1007/s11064-013-1041-0
http://www.ncbi.nlm.nih.gov/pubmed/23595828
http://europepmc.org/abstract/MED/23595828
https://pubmed.ncbi.nlm.nih.gov/23595828/
https://link.springer.com/article/10.1007/s11064-013-1041-0/fulltext.html
https://archive-ouverte.unige.ch/unige:33351

Individual Detection of Patients with Parkinson Disease using Support Vector Machine Analysis of Diffusion Tensor Imaging Data: Initial Results

Autoren: Haller, Sven Badoud, Simon Nguyen, Duy et al.

Quelle: American Journal of Neuroradiology, Vol. 33, No 11 (2012) pp. 2123-8

Schlagwörter: Male, Support Vector Machine, Pilot Projects, ddc:616.0757, Sensitivity and Specificity, Pattern Recognition, Automated, 03 medical and health sciences, 0302 clinical medicine, Support Vector Machines, Image Interpretation, Computer-Assisted, Humans, Brain/pathology, Aged, 616.0757, Pattern Recognition, Automated/methods, Image Interpretation, Computer-Assisted/methods, Parkinson Disease/diagnosis, Brain, Reproducibility of Results, Parkinson Disease, Image Enhancement, Diffusion Magnetic Resonance Imaging/methods, Diffusion Magnetic Resonance Imaging, Female, Image Enhancement/methods, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.ajnr.org/content/ajnr/33/11/2123.full.pdf
https://pubmed.ncbi.nlm.nih.gov/22653326
http://www.ajnr.org/content/ajnr/33/11/2123.full.pdf
http://www.ajnr.org/content/33/11/2123.short
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7965604
http://www.ajnr.org/lookup/doi/10.3174/ajnr.A3126
http://www.ajnr.org/content/early/2012/05/31/ajnr.A3126.full.pdf+html
https://www.ncbi.nlm.nih.gov/pubmed/22653326
https://archive-ouverte.unige.ch/unige:31974

An empirical assessment of validation practices for molecular classifiers

Autoren: Castaldi, P. J. Dahabreh, I. J. Ioannidis, J. P.

Quelle: Briefings in Bioinformatics. 12:189-202

Schlagwörter: Proteomics, 0301 basic medicine, PubMed, 0303 health sciences, 03 medical and health sciences, Computational Biology/*methods, Pattern Recognition, Automated/methods, Databases, Factual, Computational Biology, Classification/*methods, Classification, Pattern Recognition, Automated

Zugangs-URL: https://academic.oup.com/bib/article-pdf/12/3/189/715126/bbq073.pdf
https://pubmed.ncbi.nlm.nih.gov/21300697
https://academic.oup.com/bib/article/12/3/189/257389
https://doi.org/10.1093/bib/bbq073
https://pubmed.ncbi.nlm.nih.gov/21300697/
https://paperity.org/p/38585482/an-empirical-assessment-of-validation-practices-for-molecular-classifiers
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088312
https://dblp.uni-trier.de/db/journals/bib/bib12.html#CastaldiDI11
http://olympias.lib.uoi.gr/jspui/handle/123456789/23908

Automated brain tissue segmentation based on fractional signal mapping from inversion recovery Look–Locker acquisition

Autoren: Yang, Y Geng, X Shin, W et al.

Quelle: NeuroImage. 52:1347-1354

Schlagwörter: Male, Image Enhancement - Methods, Pattern Recognition, Sensitivity and Specificity, Pattern Recognition, Automated, 03 medical and health sciences, Computer-Assisted, Magnetic resonance imaging, 0302 clinical medicine, Image Interpretation, Computer-Assisted - Methods, Brain - Anatomy & Histology, Artificial Intelligence, Computer-Assisted - Methods, Image Interpretation, Computer-Assisted, Humans, Image Interpretation, Pattern Recognition, Automated - Methods, Brain, Reproducibility of Results, Automated - Methods, Signal Processing, Computer-Assisted, Fast T1 mapping, Brain tissue, Image Enhancement, Magnetic Resonance Imaging, Automated segmentation, Signal Processing, Fractional volume, Partial volume effect, Magnetic Resonance Imaging - Methods, Female, Reproducibility Of Results, Sensitivity And Specificity, Algorithms

Zugangs-URL: https://europepmc.org/articles/pmc2910200?pdf=render
https://pubmed.ncbi.nlm.nih.gov/20452444
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2910200/
https://doi.org/10.1016/j.neuroimage.2010.05.001
https://dblp.uni-trier.de/db/journals/neuroimage/neuroimage52.html#ShinGGZZY10
http://europepmc.org/articles/PMC2910200
https://hub.hku.hk/handle/10722/169875
http://dblp.uni-trier.de/db/journals/neuroimage/neuroimage52.html#ShinGGZZY10
http://hdl.handle.net/10722/169875

Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE‐MRI

Autoren: Lee, Sang Ho Kim, Jong Hyo Cho, Nariya et al.

Quelle: Lee, S H, Kim, J H, Cho, N, Park, J S, Yang, Z, Jung, Y S & Moon, W K 2010, ' Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI ', Medical Physics, vol. 37, no. 8, pp. 3940-56 . https://doi.org/10.1118/1.3446799

Schlagwörter: Adult, Gadolinium DTPA, Pattern Recognition, Automated/methods, Image Interpretation, Computer-Assisted/methods, Breast Neoplasms/diagnosis, Contrast Media, Reproducibility of Results, Breast Neoplasms, Middle Aged, Image Enhancement, Magnetic Resonance Imaging, Sensitivity and Specificity, 3. Good health, Magnetic Resonance Imaging/methods, Pattern Recognition, Automated, Diagnosis, Differential, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, Image Interpretation, Computer-Assisted, Humans, Female, Image Enhancement/methods, Algorithms, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/20879557
http://ui.adsabs.harvard.edu/abs/2010MedPh..37.3940L/abstract
https://s-space.snu.ac.kr/handle/10371/78359
https://scholar.harvard.edu/files/lsho76/files/lee_et_al._-_2010_-_medical_physics_-_multilevel_analysis_of_spatiotemporal_association_features_for_differentiation_of_tumor_enhancement_patterns_in_breast_dce-mri.pdf
https://europepmc.org/article/MED/20879557
https://aapm.onlinelibrary.wiley.com/doi/full/10.1118/1.3446799

Shifting from region of interest (ROI) to voxel-based analysis in human brain mapping

Autoren: Astrakas, L. G. Argyropoulou, M. I.

Quelle: Pediatric Radiology. 40:1857-1867

Schlagwörter: Male, Brain/*anatomy & histology/*physiology, Brain Mapping, Image Interpretation, Computer-Assisted/*methods, Brain, Image Enhancement, Magnetic Resonance Imaging, Evoked Potentials/physiology, 3. Good health, Pattern Recognition, Automated, 03 medical and health sciences, Brain Mapping/*methods, Imaging, Three-Dimensional, 0302 clinical medicine, ROC Curve, Image Interpretation, Computer-Assisted, Humans, Imaging, Three-Dimensional/*methods, Image Enhancement/methods, Magnetic Resonance Imaging/*methods, Evoked Potentials, Pattern Recognition, Automated/*methods

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/20464386
https://europepmc.org/article/MED/20464386
https://link.springer.com/article/10.1007/s00247-010-1677-8
https://pubmed.ncbi.nlm.nih.gov/20464386/
https://www.ncbi.nlm.nih.gov/pubmed/20464386
http://olympias.lib.uoi.gr/jspui/handle/123456789/18305

A novel fuzzy C‐means algorithm for unsupervised heterogeneous tumor quantification in PET

Autoren: Belhassen, Saoussen Zaidi, Habib

Quelle: Medical Physics, Vol. 37, No 3 (2010) pp. 1309-1324

Schlagwörter: Lung Neoplasms, Phantoms, Imaging, Image Interpretation, Computer-Assisted/*methods, Reproducibility of Results, Image Enhancement, ddc:616.0757, Artificial Intelligence, Sensitivity and Specificity, Pattern Recognition, Automated, 03 medical and health sciences, 0302 clinical medicine, Fuzzy Logic, Carcinoma, Non-Small-Cell Lung, Positron-Emission Tomography, Algorithms, Image Interpretation, Computer-Assisted, Carcinoma, Non-Small-Cell Lung/*radionuclide imaging, Humans, Positron-Emission Tomography/instrumentation/*methods, Image Enhancement/methods, Lung Neoplasms/*radionuclide imaging, Pattern Recognition, Automated/*methods

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/20384268
http://onlinelibrary.wiley.com/doi/10.1118/1.3301610/full
https://aapm.onlinelibrary.wiley.com/doi/abs/10.1118/1.3301610
https://pubmed.ncbi.nlm.nih.gov/20384268/
https://core.ac.uk/display/60827935
http://scitation.aip.org/content/aapm/journal/medphys/37/3/10.1118/1.3301610
https://archive-ouverte.unige.ch/unige:20434
https://archive-ouverte.unige.ch/unige:20434

Implicit reference-based group-wise image registration and its application to structural and functional MRI

Autoren: Yang, Y Gu, H Christensen, GE et al.

Quelle: NeuroImage. 47:1341-1351

Schlagwörter: Pattern Recognition, Automated - Methods, Brain - Anatomy & Histology - Physiology, Diffusion Magnetic Resonance Imaging - Methods, Image Enhancement - Methods, Brain, Automated - Methods, Pattern Recognition, Image Enhancement, Magnetic Resonance Imaging, Sensitivity and Specificity, Pattern Recognition, Automated, 03 medical and health sciences, Diffusion Magnetic Resonance Imaging, 0302 clinical medicine, Image Interpretation, Computer-Assisted - Methods, Subtraction Technique, Computer-Assisted - Methods, Magnetic Resonance Imaging - Methods, Image Interpretation, Computer-Assisted, Humans, Image Interpretation, Sensitivity And Specificity, Algorithms

Zugangs-URL: https://europepmc.org/articles/pmc2719682?pdf=render
https://pubmed.ncbi.nlm.nih.gov/19371788
http://hdl.handle.net/10722/169873

CLUSTERING-BASED APPROACH FOR PREDICTING MOTIF PAIRS FROM PROTEIN INTERACTION DATA

Autoren: Sung, KWK Yiu, SM Siu, MH et al.

Weitere Verfasser: Sung, KWK Yiu, SM Siu, MH et al.

Quelle: Journal of Bioinformatics and Computational Biology. :701-716

Schlagwörter: 0301 basic medicine, Protein Structure, Protein domain, Amino Acid Motifs, Molecular Sequence Data, Pattern Recognition, Proteins - Chemistry - Metabolism, Protein - Methods, Pattern Recognition, Automated, 03 medical and health sciences, Sequence Analysis, Protein, Protein Interaction Mapping, Cluster Analysis, Amino Acid Sequence, Protein Interaction Mapping - Methods, 0303 health sciences, Binding Sites, Pattern Recognition, Automated - Methods, Protein-protein interaction network, Sequence Analysis, Protein - Methods, Proteins, Automated - Methods, Motif pair, Protein Structure, Tertiary, Sequence Analysis, Tertiary, Algorithms, Protein Binding

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/19634199
http://europepmc.org/abstract/MED/19634199
http://dblp.uni-trier.de/db/journals/jbcb/jbcb7.html#LeungSYCS09
http://hub.hku.hk/handle/10722/152414
https://www.ncbi.nlm.nih.gov/pubmed/19634199
http://hdl.handle.net/10722/152414

Camera Displacement via Constrained Minimization of the Algebraic Error

Autoren: Chesi, G

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 31:370-375

Schlagwörter: Image Enhancement - methods, 0209 industrial biotechnology, Imaging, Three-Dimensional - methods, Photogrammetry - instrumentation - methods, Reproducibility of Results, 02 engineering and technology, Pattern Recognition, Image Interpretation, Computer-Assisted - methods, Image Enhancement, Sensitivity and Specificity, Imaging, Pattern Recognition, Automated, Automated - methods, Imaging, Three-Dimensional, Artificial Intelligence, Photogrammetry, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Pattern Recognition, Automated - methods, Artifacts, Image Interpretation, Computer-Assisted - methods, Algorithms, Three-Dimensional - methods

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/19110501
https://www.computer.org/csdl/trans/tp/2009/02/ttp2009020370.html
http://ieeexplore.ieee.org/document/4731224/
https://dblp.uni-trier.de/db/journals/pami/pami31.html#Chesi09
https://www.ncbi.nlm.nih.gov/pubmed/19110501
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004731224
https://ieeexplore.ieee.org/document/4731224/
http://hdl.handle.net/10722/58805

Self-Calibration of Turntable Sequences from Silhouettes

Autoren: Wong, KYK Zhang, H

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 31:5-14

Schlagwörter: Imaging, Three-Dimensional - methods, Video Recording, 02 engineering and technology, Pattern Recognition, Image Interpretation, Computer-Assisted - methods, Imaging, Pattern Recognition, Automated, Camera calibration, Automated - methods, Motion, Imaging, Three-Dimensional, Artificial Intelligence, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Computer Simulation, 3D/stereo scene analysis, Image Interpretation, Shape, Stereo, Models, Theoretical, Image Enhancement, Calibration, Pattern Recognition, Automated - methods, Computer-Assisted - methods, Algorithms, Three-Dimensional - methods

Zugangs-URL: http://hub.hku.hk/bitstream/10722/138033/1/Content.pdf
https://pubmed.ncbi.nlm.nih.gov/19029542
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004479471
http://ieeexplore.ieee.org/document/4479471/
https://www.ncbi.nlm.nih.gov/pubmed/19029542
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004479471
http://hub.hku.hk/handle/10722/138033
https://dl.acm.org/doi/10.1109/TPAMI.2008.56
http://hdl.handle.net/10722/138033

1D Camera Geometry and Its Application to the Self-Calibration of Circular Motion Sequences

Autoren: Zhang, G Zhang, H Wong, KYK et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 30:2243-2248

Schlagwörter: Homography, 0211 other engineering and technologies, Reproducibility of Results, 02 engineering and technology, Pattern Recognition, Image Enhancement, Sensitivity and Specificity, Image Interpretation, Computer-Assisted - methods - standards, Pattern Recognition, Automated, Automated - methods, Motion, Image Enhancement - methods - standards, Artificial Intelligence, Calibration, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, 1D projective camera, Pattern Recognition, Automated - methods, Computer-Assisted - methods - standards, Self-calibration, Image Interpretation, Circular motion, Algorithms

Zugangs-URL: http://hub.hku.hk/bitstream/10722/138032/1/Content.pdf
https://pubmed.ncbi.nlm.nih.gov/18988956
http://hdl.handle.net/10722/138032

Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images

Autoren: Cai, H Xu, X Lu, J et al.

Quelle: Medical Image Analysis. 12:666-675

Schlagwörter: 0301 basic medicine, Image Enhancement - Methods, Anatomy, Cross-Sectional - Methods, Mice, Transgenic, 02 engineering and technology, Pattern Recognition, Sensitivity and Specificity, Transgenic, Imaging, Pattern Recognition, Automated, Mice, 03 medical and health sciences, Imaging, Three-Dimensional, Image Interpretation, Computer-Assisted - Methods, Artificial Intelligence, Computer-Assisted - Methods, Peripheral Nerves - Cytology, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Animals, Peripheral Nerves, Image Interpretation, Axons - Ultrastructure, Microscopy, Pattern Recognition, Automated - Methods, Anatomy, Cross-Sectional, Three-Dimensional - Methods, Reproducibility of Results, Automated - Methods, Cross-Sectional - Methods, Imaging, Three-Dimensional - Methods, Image Enhancement, Axons, Microscopy - Methods, Reproducibility Of Results, Anatomy, Sensitivity And Specificity, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/18440853
http://www.sciencedirect.com/science/article/pii/S1361841508000273
https://scholars.houstonmethodist.org/en/publications/using-nonlinear-diffusion-and-mean-shift-to-detect-and-connect-crosssections-of-axons-in-3d-optical-microscopy-images(7bb9aacc-3462-46f4-86d5-e24faa035f88).html
https://core.ac.uk/display/37976837
https://scholars.houstonmethodist.org/en/publications/using-nonlinear-diffusion-and-mean-shift-to-detect-and-connect-cr
http://hub.hku.hk/handle/10722/156232
https://www.sciencedirect.com/science/article/pii/S1361841508000273
http://hdl.handle.net/10722/156232