| 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 | 418 | 2020 |
| Wsisa: Making survival prediction from whole slide histopathological images X Zhu, J Yao, F Zhu, J Huang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 343 | 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 | 328 | 2016 |
| 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 | 199 | 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 | 132 | 2017 |
| Label-driven reconstruction for domain adaptation in semantic segmentation J Yang, W An, S Wang, X Zhu, C Yan, J Huang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 110 | 2020 |
| 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 | 98 | 2019 |
| 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 | 84 | 2016 |
| 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 |
| Hierarchical proxy-based loss for deep metric learning Z Yang, M Bastan, X Zhu, D Gray, D Samaras Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 42 | 2022 |
| 10,000+ times accelerated robust subset selection (arss) CP F Zhu, B Fan, X Zhu, Y Wang, S Xiang arXiv preprint arXiv:1409.3660, 2014 | 35* | 2014 |
| Hierarchical transformer for survival prediction using multimodality whole slide images and genomics C Li, X Zhu, J Yao, J Huang 2022 26th international conference on pattern recognition (ICPR), 4256-4262, 2022 | 17 | 2022 |
| Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model Z Xinliang, Y Jiawen, X Guanghua, X Yang, RC Jaime, P Edwin, R, ... Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on …, 2016 | 16* | 2016 |
| Leveraging Large Language Models for Multimodal Search O Barbany, M Huang, X Zhu, A Dhua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Cohesion-based online actor-critic reinforcement learning for mhealth intervention F Zhu, P Liao, X Zhu, Y Yao, J Huang arXiv preprint arXiv:1703.10039, 2017 | 8 | 2017 |
| ProVLA: Compositional image search with progressive vision-language alignment and multimodal fusion Z Hu, X Zhu, S Tran, R Vidal, A Dhua Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Weightaln: Weighted homologous alignment for protein structure property prediction Y Guo, J Wu, H Ma, J Yang, X Zhu, J Huang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 4 | 2020 |
| Bringing multimodality to amazon visual search system X Zhu, SW Huang, H Ding, J Yang, K Chen, T Zhou, T Neiman, O Xie, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 3 | 2024 |
| A Novel Method To Collect Kinect-Comparable RGB-D Outdoor Image X Zhu, S Tang Global Perspectives on AI (GPAI) Vol 3, 2015 | 2 | 2015 |
| Multimodal search and refinement Z Xinliang, D Arnab, SD Tran, RG Douglas US Patent 12,210,516, 2025 | | 2025 |
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonE-mail megerősítve itt: uta.edu