I am a Research Fellow at National University of Singapore, under the supervision of PYP Assistant Professor: Tham Yih Chung. I received my Ph.D. from the National Key Laboratory of Fundamental Science on Synthetic Vision, the College of Computer Science, Sichuan University, co-advised by Prof. Xiaojing Shen and Prof. Xuedong Yuan. I was a visiting Ph.D. student at the Agency for Science, Technology and Research (A*STAR) in Singapore from September 2022 to September 2023, under the supervision of Principal Scientist: Huazhu Fu.
- 👯 I’m looking to collaborate on Trustworthy multi-modality learning with uncertainty estimation, Explainable VLM with Grounding, and Hallucination and Fairness in VLM.
- ⚡ I’m seeking to research on Agents, Vision Language model and Foundation model.
- 🔥 Welcome your excellent manuscript! I’m guesting a special issue of Fostering Trustworthy Artificial Intelligence in Medical Imaging in the journal of Frontiers in Medicine (IF = 3.0). [Link]
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His research focuses on:
- 🔥 AI+ Healthcare: Medical image analysis, uncertainty estimation, multi-modal learning，vision-language model.
- Computer Vision: Point set registration.
- Intelligent Vehicle: Track2track association, multi-sensor fusion (lidar and camera).
🔥 News
- [10/2025] Our paper “MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM” was accepted by IEEE Transactions on Circuits and Systems for Video Technology. (link) Congrats to Nan Zhou!
- [08/2025] My paper “Towards Reliable Medical Image Segmentation by Modelling Evidential Calibrated Uncertainty “ was accepted by IEEE Transactions on Cybernetics. (link) Thanks all my Collaborators ! ! !
- [08/2025] One perspective paper “‘Thinking’ LLMs in Medicine: Opportunities, Challenges, and the Road Ahead “ was accepted by Lancet Digital Health.
- [08/2025] My first key paper “Uncertainty-aware Medical Diagnostic Phrase Identification and Grounding” was accepted by IEEE TPAMI. Codes and camera-ready paper are coming soon. (link) Thanks all my Collaborators ! ! !
- [07/2025] One paper “Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models” was accepted by JAMA ophthalmology.
- [06/2025] One correspondence paer accepted by Nature Medicine, Congrats to the Whole Global RETFound team ! ! !
- [06/2025] One paer accepted by ICCV 2025: “GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis”[Paper][Link], Congrats to Bo ! !
- [06/2025] Two paers accepted by MICCAI 2025: “Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering”[Paper] and “RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis”, Congrats to Zehui and Qingshan ! !
- [06/2025] I am pleased to serve as a Guest Editor for the upcoming Research Topic “Fostering Trustworthy Artificial Intelligence in Medical Imaging” in Frontiers in Medicine (IF = 3.0). [Link]
- [05/2025] One paer accepted by Nature Communications: “Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model”[Link], Congrats to Meng, my visiting Ph.D. supervisor H. Fu, and Prof. Cheng! !
- [02/2025] Happy to get the ARVO2025 Travel award, Thanks for the ARVO community!
- [02/2025] Glad to be the IEEE ATC 2025 WC, Thanks for the community. Welcome the submissions! [Link]
- [01/2025] One paer accepted by NAACL2025: “LMOD:A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models”[Link], Congrats to Zhenyue and Prof. Qingyu!
- [01/2025] Happy New Year! Glad to be the MICCAI2025 AC, Thanks for the MICCAI community. Make it great!
- [12/2024] One paper accepted by IEEE TMI: “Training-free image style alignment for domain shift on handheld ultrasound devices”[Link], Congrats to Hongye!
- [10/2024] One paper accepted by Cell Reports Medicine: “Enhancing Al Reliability: A Foundation Model with Uncertainty Estimation for Optical Coherence Tomography based Retinal Diseases Diagnosis”[Link](https://arxiv.org/pdf/2406.16942).
- [09/2024] Our paper MedSAM-U on MedSAM with uncertainty-guided auto adaptation is available on [arxiv].
- [06/2024] One paper about “Reliable Federated Disentangling Network for Non-IID Domain Feature” was accepted by IEEE Transactions on Big Data.
- [06/2024] One paper about “Reliable Segmentation of Multiple Lesions from Medical Image” was accepted by Medical Physics.
- [05/2024] I have passed my Ph.D. defense, glad to be Dr. Zou.
- [05/2024] One paper about “Confidence-aware multi-modality learning for eye disease screening” was accepted by MedIA [Code].
- [05/2024] Two papers about “Reliable domain adaption” and “Semi-supervised segmentation” were early accepted by MICCAI2024 (One Spotlight).
- [10/2023] One paper about “Uncertainty-inspired open set learning for retinal anomaly identification” was accepted by Nature Communications. [pdf] [code]
📝 Selected Publications (* means co-first author)
Explainable VLM with Grounding/FM for ophthalmology
[Building the world’s first truly global medical foundation model][Paper]
Yih Chung Tham, Jocelyn Hui Lin Goh, …, Ke Zou, Carol Y Cheung, Pearse A Keane
[FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis][Paper]
Ke Zou*, Jocelyn Hui Lin Goh*, Yukun Zhou*, Tian Lin*, Samantha Min Er Yew, Sahana Srinivasan, Meng Wang, Rui Santos, Gabor M. Somfai, Huazhu Fu, Haoyu Chen, Pearse A. Keane, Ching-Yu Cheng, Yih Chung Tham
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM
Nan Zhou*, Ke Zou*, Kai Ren, Mengting Luo, Linchao He, Meng Wang, Yidi Chen, Yi Zhang, Hu Chen, Huazhu Fu
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
Hallucination detection with Agents/MLLMs
Trustworthy Medical Image Analysis
[Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty][Conference] [Code][Journal][Code]
Ke Zou, Yidi Chen, Ling Huang, Xuedong Yuan, Xiaojing Shen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
Uncertainty-inspired open set learning for retinal anomaly identification
Meng Wang*, Tian Lin*, Lianyu Wang*, Aidi Lin, Ke Zou, et al.
Reliable Multimodality Eye Disease Screening via Mixture of Student’s t Distributions[EyeMoSt+/EyeMoSt Codes]
Ke Zou*, Tian Lin*, Xuedong Yuan, Haoyu Chen, Xiaojing Shen, Meng Wang, Huazhu Fu
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
🎖 Honors and Awards
- 2021.12 – Outstanding Graduate Thesis of Chongqing
- 2021.09 – Outstanding Postgraduate of Sichuan University
- 2020.06 – Outstanding Graduate Student of Chongqing
- 2017.06 - Outstanding Undergraduate Student of Chongqing
- 2015.11 – National Scholarship (1%)
🗣 Activities
Area Chair
- MICCAI 2025
Reviewers
- Conference Reviewer: FUSION2022, ICASSP2023, ICASSP2024, MIDL2023, MIDL2024, MICCAI2023, MICCAI2024, ICIP2023, ICIP2024, BIBM 2025
- Journal Reviewer: IEEE TMI, Medical Image Analysis, IEEE TNNLS, Signal Processing, Pattern Recognition, Knowledge-Based Systems, IEEE TAI, IEEE JBHI
💬 Talks and Presentations
- 2024.06, Ph.D. graduation defense sharing, University of Electronic Science and Technology of China, invited by Prof. Ping Zhang.
- 2024.04, AIxMed Biweekly Seminar, curated by the MGH/HMS Center for Advanced Medical Computing and Analysis (CAMCA), invited by Prof. Xiang Li.
- 2023.12, Central China Normal University Nanhu Forum academic exchange report, curated by School of Computer Science, Central China Normal University, invited by Prof. Yutao Ma.
- 2023.11, The Third Graduate Academic Forum, curated by Chinese Journal of Graphics and Images.
- 2022.08 MICS2022 of TBraTS: Trusted Brain Tumor Segmentation (3rd Prize)
- 2019.07, FUSION2019, Ottawa, Canada.
📖 Educations
- 2020.09 - 2024.06 (now), Ph.D, Sichuan University, Chengdu.
- 2017.09 - 2020.06, M.S, Chongqing University of Posts and Telecomunications.
💻 Experiences and Projects
Experiences
- 2022.10 - 2023.09, Visiting student, A*STAR, Singapore, advised by Principal Scientist: Huazhu Fu.
Projects
- 2019.04 - 2020.04, Chongqing Postgraduate Research and Innovation Project, Multi-vehicle Lidar Integrated Registration based on Variational Bayesian under Time and Space Factors, PI, 10,000 RMB.
- 2021.10 - 2022.09, Sichuan Provincial Department of Science and Technology, Cultivation Project, Joint Registration, Fusion and Segmentation of Multimodal Medical Image Based on Deep Neural Network, PI, 30,000 RMB.
- 2022.10 - 2023.09, A*STAR SERC Central Research Fund, Robust and Trustworthy AI system for Multi-modality Healthcare, Key member.
- 2021.01 - 2024.12, National Natural Science Foundation of China, Target Tracking of Intelligent Networked Vehicles under Time-varying non-Gaussian Noise and Positioning Failure in Mixed Traffic, Key member.
- 2023.01 - 2024.12, Key research and development project in Sichuan Province, research on the key problems of oral hard palate segmentation and its application in orthodontic treatment, Key member.