| 2025 | ICCV | GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-Ray Diagnosis. | Bo Liu, Ke Zou, Li-Ming Zhan, Zexin Lu, Xiaoyu Dong, Yidi Chen, Chengqiang Xie, Jiannong Cao, Xiao-Ming Wu, Huazhu Fu |
| 2025 | MICCAI | Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering. | Zehui Liao, Shishuai Hu, Ke Zou, Huazhu Fu, Liangli Zhen, Yong Xia |
| 2025 | MICCAI | RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis. | Yuqing Li, Qingshan Hou, Peng Cao, Jianguo Ju, Tianqi Wang, Meng Wang, Ke Zou, Yih Chung Tham, Huazhu Fu, Osmar R. Zaane |
| 2025 | MICCAI | Uncertainty-Aware Multimodal Fusion for Reliable Fundus Disease Classification Using a Vision-Language Foundation Model. | Meng Wang, Tian Lin, Aidi Lin, Ke Zou, Ting Xu, Yanda Meng, Dianbo Liu, Yih Chung Tham, Haoyu Chen, Huazhu Fu |
| 2025 | MICCAI | RetBench: Which Ophthalmic Foundation Model Performs Best and Why? | Ke Zou, Jocelyn Hui Lin Goh, Yukun Zhou, Samantha Min Er Yew, Meng Wang, Huazhu Fu, Ching-Yu Cheng, Yih Chung Tham |
| 2025 | NAACL | LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models. | Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Ninghao Liu, Yih Chung Tham, Xiuzhen Zhang, Qingyu Chen |
| 2024 | MICCAI | FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. | Along He, Tao Li, Yanlin Wu, Ke Zou, Huazhu Fu |
| 2024 | MICCAI | Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt. | Meng Wang, Tian Lin, Ting Xu, Ke Zou, Haoyu Chen, Huazhu Fu, Ching-Yu Cheng |
| 2024 | MICCAI | Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation. | Hongye Zeng, Ke Zou, Zhihao Chen, Rui Zheng, Huazhu Fu |
| 2023 | MICCAI | SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image. | Guoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu |
| 2023 | MICCAI | Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation. | Kai Ren, Ke Zou, Xianjie Liu, Yidi Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu |
| 2023 | MICCAI | Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. | Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu |
| 2023 | MICCAI | Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions. | Ke Zou, Tian Lin, Xuedong Yuan, Haoyu Chen, Xiaojing Shen, Meng Wang, Huazhu Fu |
| 2022 | MICCAI | TBraTS: Trusted Brain Tumor Segmentation. | Ke Zou, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu |
| 2020 | IECON | A Methodology for Seamless Hot-Swap of Converters in DC Microgrids. | Shrivatsal Sharma, Vishnu Mahadeva Iyer, Subhashish Bhattacharya, Jun Kikuchi, Ke Zou, Mahima Gupta |
| 2019 | FUSION | Non-rigid Image Feature Matching by Structure Constraints. | Hao Zhu, Ke Zou, Yongfu Li, Henry Leung, Zhen Tian |
| 2018 | FUSION | Distributed Evidential EM Algorithm for Gaussian Mixtures in Sensor Network with Uncertain Data. | Hao Zhu, Ke Zou, Yongfu Li, Zhen Tian |
| 2010 | IJCNN | Intelligent sensor design in network based automatic control. | Donglin Wang, Sandeep Chandana, Renlun He, Jiuqiang Han, Xiangyu Zhu, Ke Zou, Yong He |