| Dominant local binary patterns for texture classification S Liao, MWK Law, ACS Chung IEEE transactions on image processing 18 (5), 1107-1118, 2009 | 1007 | 2009 |
| Three dimensional curvilinear structure detection using optimally oriented flux MWK Law, ACS Chung Computer Vision–ECCV 2008, 368-382, 2008 | 317 | 2008 |
| Large deformation diffeomorphic image registration with laplacian pyramid networks TCW Mok, ACS Chung Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 316 | 2020 |
| 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 | 286 | 2020 |
| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022 | 217 | 2022 |
| 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 | 205 | 2006 |
| Face recognition by using elongated local binary patterns with average maximum distance gradient magnitude S Liao, ACS Chung Asian conference on computer vision, 672-679, 2007 | 186 | 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 | 178 | 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 | 138 | 2002 |
| 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 | 135 | 2018 |
| 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 | 130 | 2019 |
| Trilateral filtering for biomedical images WCK Wong, ACS Chung, SCH Yu Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on …, 2004 | 126 | 2004 |
| Conditional deformable image registration with convolutional neural network TCW Mok, ACS Chung Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 108 | 2021 |
| 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 | 105 | 2011 |
| Affine medical image registration with coarse-to-fine vision transformer TCW Mok, A Chung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 104 | 2022 |
| Non-rigid image registration using graph-cuts TWH Tang, ACS Chung Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007, 916-924, 2007 | 101 | 2007 |
| Statistical 3D vessel segmentation using a Rician distribution ACS Chung, JA Noble Medical Image Computing and Computer-Assisted Intervention–MICCAI’99, 82-89, 1999 | 99 | 1999 |
| 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 | 98 | 2004 |
| 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 | 90 | 2006 |
| 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 | 88 | 2006 |
Shu LiaoUnited Imaging IntelligenceAdresă de e-mail confirmată pe united-imaging.com