Dominant local binary patterns for texture classification S Liao, MWK Law, ACS Chung IEEE transactions on image processing 18 (5), 1107-1118, 2009 | 942 | 2009 |
Three dimensional curvilinear structure detection using optimally oriented flux MWK Law, ACS Chung Computer Vision–ECCV 2008, 368-382, 2008 | 288 | 2008 |
Information processing in medical imaging ACS Chung, JC Gee, PA Yushkevich, S Bao Information Processing in Medical Imaging, 2019 | 210 | 2019 |
Facial expression recognition using advanced local binary patterns, tsallis entropies and global appearance features S Liao, W Fan, ACS Chung, DY Yeung 2006 International Conference on Image Processing, 665-668, 2006 | 198 | 2006 |
Face recognition by using elongated local binary patterns with average maximum distance gradient magnitude S Liao, ACS Chung Computer Vision–ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo …, 2007 | 169 | 2007 |
Deep supervision with additional labels for retinal vessel segmentation task Y Zhang, ACS Chung Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 129 | 2018 |
Multi-modal image registration by minimising kullback-leibler distance ACS Chung, WM Wells III, A Norbash, WEL Grimson Medical Image Computing and Computer-Assisted Intervention—MICCAI 2002, 525-532, 2002 | 128 | 2002 |
Fast symmetric diffeomorphic image registration with convolutional neural networks TCW Mok, A Chung Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 120 | 2020 |
Trilateral filtering for biomedical images WCK Wong, ACS Chung, SCH Yu Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on …, 2004 | 120 | 2004 |
Multi-scale structured CNN with label consistency for brain MR image segmentation S Bao, ACS Chung Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 114 | 2018 |
Large deformation diffeomorphic image registration with Laplacian pyramid networks TCW Mok, ACS Chung Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 113 | 2020 |
Non-rigid image registration using graph-cuts TWH Tang, ACS Chung Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007, 916-924, 2007 | 99 | 2007 |
Vascular segmentation of phase contrast magnetic resonance angiograms based on statistical mixture modeling and local phase coherence ACS Chung, JA Noble, P Summers Medical Imaging, IEEE Transactions on 23 (12), 1490-1507, 2004 | 96 | 2004 |
Statistical 3D vessel segmentation using a Rician distribution ACS Chung, JA Noble Medical Image Computing and Computer-Assisted Intervention–MICCAI¢99, 82-89, 1999 | 95 | 1999 |
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading K Hameeteman, MA Zuluaga, M Freiman, L Joskowicz, O Cuisenaire, ... Medical Image Analysis 15 (4), 477-488, 2011 | 94 | 2011 |
A segmentation model using compound Markov random fields based on a boundary model J Wu, ACS Chung IEEE Transactions on Image Processing 16 (1), 241-252, 2006 | 87 | 2006 |
Learning data augmentation for brain tumor segmentation with coarse-to-fine generative adversarial networks TCW Mok, ACS Chung Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 84 | 2019 |
An active contour model for image segmentation based on elastic interaction Y Xiang, A Chung, J Ye Journal of computational physics 219 (1), 455-476, 2006 | 83 | 2006 |
Non-rigid image registration of brain magnetic resonance images using graph-cuts RWK So, TWH Tang, ACS Chung Pattern Recognition 44 (10-11), 2450-2467, 2011 | 75 | 2011 |
Texture classification by using advanced local binary patterns and spatial distribution of dominant patterns S Liao, ACS Chung 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 72 | 2007 |