| A Review of Uncertainty Estimation and its Application in Medical Imaging K Zou, Z Chen, X Yuan, X Shen, M Wang, H Fu Meta-Radiology 1, 2023 | 141 | 2023 |
| A review of point set registration: From pairwise registration to groupwise registration H Zhu, B Guo, K Zou, Y Li, KV Yuen, L Mihaylova, H Leung Sensors 19 (5), 1191, 2019 | 118 | 2019 |
| Tbrats: Trusted brain tumor segmentation K Zou, X Yuan, X Shen, M Wang, H Fu International conference on medical image computing and computer-assisted …, 2022 | 99 | 2022 |
| Sam-u: Multi-box prompts triggered uncertainty estimation for reliable sam in medical image G Deng, K Zou, K Ren, M Wang, X Yuan, S Ying, H Fu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 87 | 2023 |
| Uncertainty-inspired open set learning for retinal anomaly identification M Wang, T Lin, L Wang, A Lin, K Zou, X Xu, Y Zhou, Y Peng, Q Meng, ... Nature Communications 14 (1), 6757, 2023 | 76 | 2023 |
| Robust sensor fusion with heavy-tailed noises H Zhu, K Zou, Y Li, H Leung Signal Processing 175, 107659, 2020 | 32 | 2020 |
| Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation K Ren, K Zou, X Liu, Y Chen, X Yuan, X Shen, M Wang, H Fu MICCAI 2023, 2023 | 30 | 2023 |
| Gemex: A large-scale, groundable, and explainable medical vqa benchmark for chest x-ray diagnosis B Liu, K Zou, LM Zhan, Z Lu, X Dong, Y Chen, C Xie, J Cao, XM Wu, H Fu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 | 23 | 2025 |
| Medsam-u: Uncertainty-guided auto multi-prompt adaptation for reliable medsam N Zhou, K Zou, K Ren, M Luo, L He, M Wang, Y Chen, Y Zhang, H Chen, ... IEEE Transactions on Circuits and Systems for Video Technology, 2025 | 22 | 2025 |
| Artificial intelligence‐assisted determination of available sites for palatal orthodontic mini‐implants based on palatal thickness through CBCT T Tao, K Zou, R Jiang, K He, X He, M Zhang, Z Wu, X Shen, X Yuan, W Lai, ... Orthodontics & Craniofacial Research, 2023 | 22 | 2023 |
| EvidenceCap: towards trustworthy medical image segmentation via evidential identity cap K Zou, X Yuan, X Shen, Y Chen, M Wang, RSM Goh, Y Liu, H Fu arXiv preprint arXiv:2301.00349, 2023 | 21 | 2023 |
| Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language model M Wang, T Lin, A Lin, K Yu, Y Peng, L Wang, C Chen, K Zou, H Liang, ... Nature Communications 16 (1), 5528, 2025 | 20 | 2025 |
| Confidence-aware multi-modality learning for eye disease screening K Zou, T Lin, Z Han, M Wang, X Yuan, H Chen, C Zhang, X Shen, H Fu Medical Image Analysis 96, 103214, 2024 | 17 | 2024 |
| Common and rare fundus diseases identification using vision-language foundation model with knowledge of over 400 diseases M Wang, T Lin, K Yu, A Lin, Y Peng, L Wang, C Chen, K Zou, H Liang, ... arXiv e-prints, arXiv: 2406.09317, 2024 | 17 | 2024 |
| Enhancing AI reliability: A foundation model with uncertainty estimation for optical coherence tomography-based retinal disease diagnosis Y Peng, A Lin, M Wang, T Lin, L Liu, J Wu, K Zou, T Shi, L Feng, Z Liang, ... Cell Reports Medicine 6 (1), 2025 | 16 | 2025 |
| Reliable source approximation: Source-free unsupervised domain adaptation for vestibular schwannoma MRI segmentation H Zeng, K Zou, Z Chen, R Zheng, H Fu International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 13 | 2024 |
| Medrg: Medical report grounding with multi-modal large language model K Zou, Y Bai, Z Chen, Y Zhou, Y Chen, K Ren, M Wang, X Yuan, X Shen, ... arXiv preprint arXiv:2404.06798, 2024 | 13 | 2024 |
| Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging M Wang, L Wang, X Xu, K Zou, Y Qian, RSM Goh, Y Liu, H Fu MICCAI 2023, 2023 | 13 | 2023 |
| Lmod: A large multimodal ophthalmology dataset and benchmark for large vision-language models Z Qin, Y Yin, D Campbell, X Wu, K Zou, N Liu, YC Tham, XJ Zhang, ... Findings of the Association for Computational Linguistics: NAACL 2025, 2501-2522, 2025 | 12 | 2025 |
| FRCNet: Frequency and region consistency for semi-supervised medical image segmentation A He, T Li, Y Wu, K Zou, H Fu International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 7 | 2024 |
Huazhu FuPrincipal Scientist, IHPC, A*STARVerified email at ieee.org
