| H-DenseUNet: Hybrid densely connected UNet for liver and liver tumor segmentation from CT volumes X Li, H Chen, X Qi, Q Dou, CW Fu, PA Heng IEEE Transactions on Medical Imaging 37 (12), 2663-2674, 2018 | 2446 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1250 | 2023 |
| Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation L Yu, S Wang, X Li, CW Fu, PA Heng Medical image computing and computer assisted intervention–MICCAI 2019: 22nd …, 2019 | 938 | 2019 |
| Transformation-consistent self-ensembling model for semisupervised medical image segmentation X Li, L Yu, H Chen, CW Fu, L Xing, PA Heng IEEE Transactions on Neural Networks and Learning Systems 32 (2), 523-534, 2020 | 479 | 2020 |
| CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading X Li, X Hu, L Yu, L Zhu, CW Fu, PA Heng IEEE Transactions on Medical Imaging 39 (5), 1483--1493, 2019 | 386 | 2019 |
| Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model X Li, L Yu, H Chen, CW Fu, PA Heng The British Machine Vision Conference 2018., 2018 | 172 | 2018 |
| Global guidance network for breast lesion segmentation in ultrasound images C Xue, L Zhu, H Fu, X Hu, X Li, H Zhang, PA Heng Medical image analysis 70, 101989, 2021 | 150 | 2021 |
| 3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images X Li, Q Dou, H Chen, CW Fu, X Qi, DL Belavý, G Armbrecht, D Felsenberg, ... Medical image analysis 45, 41-54, 2018 | 149 | 2018 |
| Self-supervised feature learning via exploiting multi-modal data for retinal disease diagnosis X Li, M Jia, MT Islam, L Yu, L Xing IEEE Transactions on Medical Imaging 39 (12), 4023-4033, 2020 | 140 | 2020 |
| Deep sinogram completion with image prior for metal artifact reduction in CT images L Yu, Z Zhang, X Li, L Xing IEEE transactions on medical imaging 40 (1), 228-238, 2020 | 123 | 2020 |
| Revisiting metric learning for few-shot image classification X Li, L Yu, CW Fu, M Fang, PA Heng Neurocomputing 406, 49-58, 2020 | 114 | 2020 |
| Rotation-oriented collaborative self-supervised learning for retinal disease diagnosis X Li, X Hu, X Qi, L Yu, W Zhao, PA Heng, L Xing IEEE Transactions on Medical Imaging 40 (9), 2284-2294, 2021 | 95 | 2021 |
| Clip surgery for better explainability with enhancement in open-vocabulary tasks Y Li, H Wang, Y Duan, X Li arXiv preprint arXiv:2304.05653, 2023 | 87 | 2023 |
| Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation H Yao, X Hu, X Li Thirty-sixth AAAI conference on artificial intelligence, 2022 | 84 | 2022 |
| Clipn for zero-shot ood detection: Teaching clip to say no H Wang, Y Li, H Yao, X Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 82 | 2023 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Y Li, Y Duan, Z Kuang, Y Chen, W Zhang, X Li Thirty-sixth AAAI conference on artificial intelligence, 2022 | 75 | 2022 |
| Difficulty-aware meta-learning for rare disease diagnosis X Li, L Yu, Y Jin, CW Fu, L Xing, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 75 | 2020 |
| Rscfed: Random sampling consensus federated semi-supervised learning X Liang, Y Lin, H Fu, L Zhu, X Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 66 | 2022 |
| Age challenge: angle closure glaucoma evaluation in anterior segment optical coherence tomography H Fu, F Li, X Sun, X Cao, J Liao, JI Orlando, X Tao, Y Li, S Zhang, M Tan, ... Medical Image Analysis 66, 101798, 2020 | 57 | 2020 |
| Deep Sub-region Network for Salient Object Detection L Wang, R Chen, L Zhu, H Xie, X Li IEEE Transactions on Circuits and Systems for Video Technology 31 (2), 728 - 741, 2020 | 50 | 2020 |
Pheng Ann HengChoh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong Kongcse.cuhk.edu.hk의 이메일 확인됨
