I am a Research Fellow at National University of Singapore, under the supervision of 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.
- ⚡ I’m seeking to research on Vision Language model and Foundation model.
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
- [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]
📝 Publications (* means co-first author)
Trustworthy Medical Image Analysis
Uncertainty-inspired open set learning for retinal anomaly identification
Meng Wang*, Tian Lin*, Lianyu Wang*, Aidi Lin, Ke Zou, et al.
[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
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
Vision-language/Foundation model
MedRG: Medical Report Grounding with Multi-modal Large Language Model
Ke Zou#, Yang Bai#, Zhihao Chen, Yang Zhou, Yidi Chen, Kai Ren, Meng Wang, Xuedong Yuan, Xiaojing Shen, Huazhu Fu
MedSAM-U: 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
🎖 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
Reviewers
- Conference Reviewer: FUSION2022, ICASSP2023, ICASSP2024, MIDL2023, MIDL2024, MICCAI2023, MICCAI2024, ICIP2023, ICIP2024
- Journal Reviewer: IEEE TMI, Signal Processing, IEEE TAI, IEEE JBHI, IEEE Access
💬 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.