| Deep learning of feature representation with multiple instance learning for medical image analysis Y Xu, T Mo, Q Feng, P Zhong, M Lai, I Eric, C Chang 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 465 | 2014 |
| Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features Y Xu, Z Jia, LB Wang, Y Ai, F Zhang, M Lai, EIC Chang BMC bioinformatics 18, 1-17, 2017 | 436 | 2017 |
| Weakly supervised histopathology cancer image segmentation and classification Y Xu, JY Zhu, I Eric, C Chang, M Lai, Z Tu Medical image analysis 18 (3), 591-604, 2014 | 317 | 2014 |
| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 280 | 2019 |
| Large scale image completion via co-modulated generative adversarial networks S Zhao, J Cui, Y Sheng, Y Dong, X Liang, EI Chang, Y Xu International Conference on Learning Representations (ICLR) 2021, 2021 | 247 | 2021 |
| Recursive cascaded networks for unsupervised medical image registration S Zhao, Y Dong, EI Chang, Y Xu Proceedings of the IEEE International Conference on Computer Vision, 10600-10610, 2019 | 247 | 2019 |
| Constrained deep weak supervision for histopathology image segmentation Z Jia, X Huang, I Eric, C Chang, Y Xu IEEE transactions on medical imaging 36 (11), 2376-2388, 2017 | 238 | 2017 |
| Unsupervised 3D end-to-end medical image registration with volume tweening network S Zhao, T Lau, J Luo, I Eric, C Chang, Y Xu IEEE journal of biomedical and health informatics 24 (5), 1394-1404, 2019 | 232 | 2019 |
| Maskflownet: Asymmetric feature matching with learnable occlusion mask S Zhao, Y Sheng, Y Dong, EI Chang, Y Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 226 | 2020 |
| Deep convolutional activation features for large scale brain tumor histopathology image classification and segmentation Y Xu, Z Jia, Y Ai, F Zhang, M Lai, I Eric, C Chang 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 200 | 2015 |
| Unsupervised object class discovery via saliency-guided multiple class learning JY Zhu, J Wu, Y Xu, E Chang, Z Tu IEEE transactions on pattern analysis and machine intelligence 37 (4), 862-875, 2014 | 190 | 2014 |
| Gland instance segmentation using deep multichannel neural networks Y Xu, Y Li, Y Wang, M Liu, Y Fan, M Lai, I Eric, C Chang IEEE Transactions on Biomedical Engineering 64 (12), 2901-2912, 2017 | 177 | 2017 |
| MRI cross-modality image-to-image translation Q Yang, N Li, Z Zhao, X Fan, EIC Chang, Y Xu Scientific reports 10 (1), 3753, 2020 | 167* | 2020 |
| Semantic content searching I Eric, C Chang, MT Gillam, Y Xu, C Feied, J Handler US Patent 8,380,719, 2013 | 165 | 2013 |
| Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering Y Xu, JY Zhu, E Chang, Z Tu 2012 IEEE Conference on Computer Vision and Pattern Recognition, 964-971, 2012 | 135 | 2012 |
| Gland instance segmentation by deep multichannel side supervision Y Xu, Y Li, M Liu, Y Wang, M Lai, I Eric, C Chang International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 126 | 2016 |
| Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries Y Xu, K Hong, J Tsujii, EIC Chang Journal of the American Medical Informatics Association 19 (5), 824-832, 2012 | 121 | 2012 |
| Unsupervised learning for cell-level visual representation in histopathology images with generative adversarial networks B Hu, Y Tang, I Eric, C Chang, Y Fan, M Lai, Y Xu IEEE journal of biomedical and health informatics 23 (3), 1316-1328, 2018 | 118 | 2018 |
| Deep learning in digital pathology image analysis: a survey S Deng, X Zhang, W Yan, EIC Chang, Y Fan, M Lai, Y Xu Frontiers of medicine 14, 470-487, 2020 | 117 | 2020 |
| ANHIR: automatic non-rigid histological image registration challenge J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ... IEEE transactions on medical imaging 39 (10), 3042-3052, 2020 | 114 | 2020 |
Eric I-Chao Chang (张益肇)Microsoft ResearchAdresse e-mail validée de microsoft.com
