| FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Q Liu, C Chen, J Qin, Q Dou, PA Heng IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 535 | 2021 |
| Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation C Chen, Q Dou, H Chen, J Qin, PA Heng AAAI 2019, 2019 | 398 | 2019 |
| Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation C Chen, Q Dou, H Chen, J Qin, PA Heng IEEE Transactions on Medical Imaging, 2020 | 390 | 2020 |
| Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss Q Dou, C Ouyang, C Chen, H Chen, PA Heng IJCAI 2018, 2018 | 344 | 2018 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 234 | 2022 |
| Pnp-adanet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation Q Dou, C Ouyang, C Chen, H Chen, B Glocker, X Zhuang, PA Heng IEEE Access 7, 99065-99076, 2019 | 234 | 2019 |
| Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest x-ray segmentation C Chen, Q Dou, H Chen, PA Heng MLMI@MICCAI 2018, 143-151, 2018 | 210 | 2018 |
| Robust multimodal brain tumor segmentation via feature disentanglement and gated fusion C Chen, Q Dou, Y Jin, H Chen, J Qin, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 181 | 2019 |
| Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images J Zhou, LY Luo, Q Dou, H Chen, C Chen, GJ Li, ZF Jiang, PA Heng Journal of Magnetic Resonance Imaging 50 (4), 1144-1151, 2019 | 154 | 2019 |
| Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling C Chen, Q Liu, Y Jin, Q Dou, PA Heng International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 110 | 2021 |
| Radiology-llama2: Best-in-class large language model for radiology Z Liu, Y Li, P Shu, A Zhong, L Yang, C Ju, Z Wu, C Ma, J Luo, C Chen, ... arXiv preprint arXiv:2309.06419, 2023 | 98 | 2023 |
| Temporal memory relation network for workflow recognition from surgical video Y Jin, Y Long, C Chen, Z Zhao, Q Dou, PA Heng IEEE Transactions on Medical Imaging 40 (7), 1911-1923, 2021 | 94 | 2021 |
| Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation C Chen, J Miao, D Wu, A Zhong, Z Yan, S Kim, J Hu, Z Liu, L Sun, X Li, ... Medical Image Analysis 98, 103310, 2024 | 88 | 2024 |
| Learning with privileged multimodal knowledge for unimodal segmentation C Chen, Q Dou, Y Jin, Q Liu, PA Heng IEEE transactions on medical imaging 41 (3), 621-632, 2021 | 70 | 2021 |
| Caussl: Causality-inspired semi-supervised learning for medical image segmentation J Miao, C Chen, F Liu, H Wei, PA Heng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 48 | 2023 |
| Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary Q Liu, C Chen, Q Dou, PA Heng AAAI Conference on Artificial Intelligence (AAAI), 2022 | 44 | 2022 |
| Tailoring large language models to radiology: A preliminary approach to llm adaptation for a highly specialized domain Z Liu, A Zhong, Y Li, L Yang, C Ju, Z Wu, C Ma, P Shu, C Chen, S Kim, ... International Workshop on Machine Learning in Medical Imaging, 464-473, 2023 | 43 | 2023 |
| IOP-FL: Inside-outside personalization for federated medical image segmentation M Jiang, H Yang, C Cheng, Q Dou IEEE Transactions on Medical Imaging 42 (7), 2106-2117, 2023 | 40 | 2023 |
| Exploring intra-and inter-video relation for surgical semantic scene segmentation Y Jin, Y Yu, C Chen, Z Zhao, PA Heng, D Stoyanov IEEE Transactions on Medical Imaging 41 (11), 2991-3002, 2022 | 37 | 2022 |
| DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images H Yang, C Chen, M Jiang, Q Liu, J Cao, PA Heng, Q Dou IEEE Transactions on Medical Imaging, 2022 | 34 | 2022 |
Pheng Ann HengChoh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
