| 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 | 190 | 2019 |
| 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 | 151 | 2017 |
| 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 | 149 | 2016 |
| Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Medical image analysis 65, 101766, 2020 | 110 | 2020 |
| 3d semi-supervised learning with uncertainty-aware multi-view co-training Y Xia, F Liu, D Yang, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 107 | 2020 |
| Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d recist J Cai, Y Tang, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 74* | 2018 |
| Towards cross-modal organ translation and segmentation: A cycle-and shape-consistent generative adversarial network J Cai, Z Zhang, L Cui, Y Zheng, L Yang Medical image analysis 52, 174-184, 2019 | 67 | 2019 |
| Iterative attention mining for weakly supervised thoracic disease pattern localization in chest x-rays J Cai, L Lu, AP Harrison, X Shi, P Chen, L Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 53 | 2018 |
| Kernel-based supervised discrete hashing for image retrieval X Shi, F Xing, J Cai, Z Zhang, Y Xie, L Yang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 51 | 2016 |
| Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in CT K Yan, J Cai, Y Zheng, AP Harrison, D Jin, Y Tang, Y Tang, L Huang, ... IEEE Transactions on Medical Imaging 40 (10), 2759-2770, 2020 | 46 | 2020 |
| CT image enhancement using stacked generative adversarial networks and transfer learning for lesion segmentation improvement Y Tang, J Cai, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 46 | 2018 |
| Local and global consistency regularized mean teacher for semi-supervised nuclei classification H Su, X Shi, J Cai, L Yang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 45 | 2019 |
| SAM: Self-supervised learning of pixel-wise anatomical embeddings in radiological images K Yan, J Cai, D Jin, S Miao, D Guo, AP Harrison, Y Tang, J Xiao, J Lu, ... IEEE Transactions on Medical Imaging 41 (10), 2658-2669, 2022 | 32 | 2022 |
| Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping J Cai, F Xing, A Batra, F Liu, GA Walter, K Vandenborne, L Yang Pattern recognition 86, 368-375, 2019 | 32 | 2019 |
| Pancreas segmentation in CT and MRI images via domain specific network designing and recurrent neural contextual learning J Cai, L Lu, F Xing, L Yang arXiv preprint arXiv:1803.11303, 2018 | 32 | 2018 |
| Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation A Raju, CT Cheng, Y Huo, J Cai, J Huang, J Xiao, L Lu, CH Liao, ... ECCV 2020 12368, 2020 | 25 | 2020 |
| Lymph node gross tumor volume detection in oncology imaging via relationship learning using graph neural network CH Chao, Z Zhu, D Guo, K Yan, TY Ho, J Cai, AP Harrison, X Ye, J Xiao, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 25 | 2020 |
| Integrating 3D geometry of organ for improving medical image segmentation J Yao, J Cai, D Yang, D Xu, J Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 21 | 2019 |
| Lesion-harvester: Iteratively mining unlabeled lesions and hard-negative examples at scale J Cai, AP Harrison, Y Zheng, K Yan, Y Huo, J Xiao, L Yang, L Lu IEEE Transactions on Medical Imaging 40 (1), 59-70, 2020 | 20 | 2020 |
| 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 | 19 | 2021 |
Le LuAlibaba DAMO Academy USA, IEEE Fellow, MICCAI Board Member, IEEE SPS Distinguished Industry SpeakerEmail confirmado em alibaba-inc.com
