| 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 | 375 | 2020 |
| WSISA: Making Survival Prediction from Whole Slide Histopathological Images X Zhu, J Yao, F Zhu, J Huang CVPR, 2017 | 320 | 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 | 296 | 2016 |
| 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 | 257 | 2015 |
| Graph CNN for survival analysis on whole slide pathological images R Li, J Yao, X Zhu, Y Li, J Huang International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 179 | 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 | 141 | 2018 |
| Deep correlational learning for survival prediction from multi-modality data J Yao, X Zhu, F Zhu, J Huang International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 119 | 2017 |
| 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 | 92 | 2019 |
| 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 | 80 | 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 | 77 | 2016 |
| Large-scale pancreatic cancer detection via non-contrast CT and deep learning K Cao, Y Xia, J Yao, X Han, L Lambert, T Zhang, W Tang, G Jin, H Jiang, ... Nature medicine 29 (12), 3033-3043, 2023 | 69 | 2023 |
| Artificial intelligence to predict lymph node metastasis at CT in pancreatic ductal adenocarcinoma Y Bian, Z Zheng, X Fang, H Jiang, M Zhu, J Yu, H Zhao, L Zhang, J Yao, ... Radiology 306 (1), 160-169, 2023 | 69 | 2023 |
| 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 | 64 | 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 | 56 | 2016 |
| 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 | 53 | 2020 |
| 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 | 48 | 2017 |
| 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 | 38 | 2021 |
| 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 | 38 | 2015 |
| 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 | 37 | 2021 |
| DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor … J Yao, Y Shi, K Cao, L Lu, J Lu, Q Song, G Jin, J Xiao, Y Hou, L Zhang Medical image analysis 73, 102150, 2021 | 33 | 2021 |
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonVerified email at uta.edu
