| Robust tracking using local sparse appearance model and k-selection B Liu, J Huang, L Yang, C Kulikowsk CVPR 2011, 1313-1320, 2011 | 596 | 2011 |
| Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review F Xing, L Yang IEEE reviews in biomedical engineering 9, 234-263, 2016 | 453 | 2016 |
| Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network Z Zhang, L Yang, Y Zheng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 408 | 2018 |
| Inducible depletion of satellite cells in adult, sedentary mice impairs muscle regenerative capacity without affecting sarcopenia CS Fry, JD Lee, J Mula, TJ Kirby, JR Jackson, F Liu, L Yang, CL Mendias, ... Nature medicine 21 (1), 76-80, 2015 | 402 | 2015 |
| An automatic learning-based framework for robust nucleus segmentation F Xing, Y Xie, L Yang IEEE transactions on medical imaging 35 (2), 550-566, 2015 | 355 | 2015 |
| Mdnet: A semantically and visually interpretable medical image diagnosis network Z Zhang, Y Xie, F Xing, M McGough, L Yang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 322 | 2017 |
| Deep learning in microscopy image analysis: A survey F Xing, Y Xie, H Su, F Liu, L Yang IEEE transactions on neural networks and learning systems 29 (10), 4550-4568, 2017 | 321 | 2017 |
| Photographic text-to-image synthesis with a hierarchically-nested adversarial network Z Zhang, Y Xie, L Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 319 | 2018 |
| Robust and fast collaborative tracking with two stage sparse optimization B Liu, L Yang, J Huang, P Meer, L Gong, C Kulikowski Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 279 | 2010 |
| Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set X Qi, F Xing, DJ Foran, L Yang IEEE Transactions on Biomedical Engineering 59 (3), 754-765, 2011 | 273 | 2011 |
| Beyond classification: structured regression for robust cell detection using convolutional neural network Y Xie, F Xing, X Kong, H Su, L Yang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 219 | 2015 |
| Unsupervised segmentation based on robust estimation and color active contour models L Yang, P Meer, DJ Foran IEEE Transactions on Information Technology in Biomedicine 9 (3), 475-486, 2005 | 213 | 2005 |
| Pathologist-level interpretable whole-slide cancer diagnosis with deep learning Z Zhang, P Chen, M McGough, F Xing, C Wang, M Bui, Y Xie, M Sapkota, ... Nature Machine Intelligence 1 (5), 236-245, 2019 | 201 | 2019 |
| Deep learning and convolutional neural networks for medical image computing L Lu, Y Zheng, G Carneiro, L Yang Advances in computer vision and pattern recognition 10, 978-3, 2017 | 169 | 2017 |
| Robust visual tracking using local sparse appearance model and k-selection B Liu, J Huang, C Kulikowski, L Yang IEEE transactions on pattern analysis and machine intelligence 35 (12), 2968 …, 2012 | 163 | 2012 |
| Robust visual tracking using local sparse appearance model and k-selection B Liu, J Huang, C Kulikowski, L Yang IEEE transactions on pattern analysis and machine intelligence 35 (12), 2968 …, 2012 | 163 | 2012 |
| Multiple class segmentation using a unified framework over mean-shift patches L Yang, P Meer, DJ Foran 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 161 | 2007 |
| Improving deep pancreas segmentation in CT and MRI images via recurrent neural contextual learning and direct loss function J Cai, L Lu, Y Xie, F Xing, L Yang arXiv preprint arXiv:1707.04912, 2017 | 153 | 2017 |
| Efficient and robust cell detection: A structured regression approach Y Xie, F Xing, X Shi, X Kong, H Su, L Yang Medical image analysis 44, 245-254, 2018 | 124 | 2018 |
| Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks J Cai, L Lu, Z Zhang, F Xing, L Yang, Q Yin International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 121 | 2016 |
