| Background Subtraction Based on Low-Rank and Structured Sparse Decomposition X Liu, G Zhao, J Yao, C Qi IEEE Transactions on Image Processing 24 (8), 2502-2514, 2015 | 228 | 2015 |
| WSISA: Making Survival Prediction from Whole Slide Histopathological Images X Zhu, J Yao, F Zhu, J Huang CVPR, 2017 | 226 | 2017 |
| Deep convolutional neural network for survival analysis with pathological images X Zhu, J Yao, J Huang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 200 | 2016 |
| Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks J Yao, X Zhu, J Jonnagaddala, N Hawkins, J Huang Medical Image Analysis 65, 101789, 2020 | 195 | 2020 |
| Graph CNN for survival analysis on whole slide pathological images R Li, J Yao, X Zhu, Y Li, J Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 109 | 2018 |
| Weakly supervised deep learning for thoracic disease classification and localization on chest x-rays C Yan, J Yao, R Li, Z Xu, J Huang Proceedings of the 2018 ACM international conference on bioinformatics …, 2018 | 106 | 2018 |
| Deep correlational learning for survival prediction from multi-modality data J Yao, X Zhu, F Zhu, J Huang Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 86 | 2017 |
| Subtype cell detection with an accelerated deep convolution neural network S Wang, J Yao, Z Xu, J Huang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 70 | 2016 |
| Imaging biomarker discovery for lung cancer survival prediction J Yao, S Wang, X Zhu, J Huang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 65 | 2016 |
| Deep multi-instance learning for survival prediction from whole slide images J Yao, X Zhu, J Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 61 | 2019 |
| An efficient algorithm for dynamic MRI using low-rank and total variation regularizations J Yao, Z Xu, X Huang, J Huang Medical image analysis 44, 14-27, 2018 | 53 | 2018 |
| Lung cancer survival prediction from pathological images and genetic data—an integration study X Zhu, J Yao, X Luo, G Xiao, Y Xie, A Gazdar, J Huang 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1173-1176, 2016 | 52 | 2016 |
| Background subtraction using spatio-temporal group sparsity recovery X Liu, J Yao, X Hong, X Huang, Z Zhou, C Qi, G Zhao IEEE Transactions on Circuits and Systems for Video Technology 28 (8), 1737-1751, 2017 | 38 | 2017 |
| Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization J Yao, Z Xu, X Huang, J Huang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015, 635-642, 2015 | 36 | 2015 |
| Graph attention multi-instance learning for accurate colorectal cancer staging A Raju, J Yao, MMH Haq, J Jonnagaddala, J Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 34 | 2020 |
| Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features J Yao, D Ganti, X Luo, G Xiao, Y Xie, S Yan, J Huang Springer International Publishing, 2015 | 25 | 2015 |
| Integrating 3D Geometry of Organ for Improving Medical Image Segmentation J Yao, J Cai, D Yang, D Xu, J Huang International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 23 | 2019 |
| Foreground detection using low rank and structured sparsity J Yao, X Liu, C Qi 2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014 | 23 | 2014 |
| Deep learning for fully automated prediction of overall survival in patients with oropharyngeal cancer using FDG-PET imaging NM Cheng, J Yao, J Cai, X Ye, S Zhao, K Zhao, W Zhou, I Nogues, Y Huo, ... Clinical Cancer Research 27 (14), 3948-3959, 2021 | 22 | 2021 |
| 3D graph anatomy geometry-integrated network for pancreatic mass segmentation, diagnosis, and quantitative patient management T Zhao, K Cao, J Yao, I Nogues, L Lu, L Huang, J Xiao, Z Yin, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 20 | 2021 |
Junzhou Huang, FAIMBEJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonVerified email at uta.edu
