Yafei Ou

Bio

I am now a Researcher Institute of Innovative Research, Tokyo Institute of Technology. I got my Ph.D. degree from Graduate School of Information Science and Technology, Hokkaido University in March 2023, supervised by Prof. Masayuki Ikebe.

My main interests are in Medical Image Analysis, Multi-modal, Explainable AI, and Computer Vision.

We are seeking collaborations in rheumatoid arthritis [link].

Featured Publications

( ^* Equal Contribution and ^# Corresponding Author)

RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis

Songxiao Yang^*, Haolin Wang^*, Yao Fu, Ye Tian, Tamotsu Kamishima, Masayuki Ikebe, Yafei Ou^#, Masatoshi Okutomi.
In Annual Conference on Neural Information Processing Systems (NeurIPS) (acceptance rate: 24.91%), December 02, 2025.

Layer Separation: Towards Adjustable Joint Space Width Images Synthesis

Haolin Wang, Yafei Ou^#, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima.
In ACM International Conference on Multimedia (ACM MM) (acceptance rate: 23.7%), October 27, 2025.

GoCa: Trustworthy Multi-Modal RAG with Explicit Thinking Distillation for Reliable Decision-Making in Med-LVLMs

Pengyu Dai, Yafei Ou^#, Yuqiao Yang, Ze Jin, Kenji Suzuki.
In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (acceptance rate: 30%), September 27, 2025.

BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs

Haolin Wang, Yafei Ou^#, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima.
In Annual AAAI Conference on Artificial Intelligence (AAAI) (acceptance rate: 23.4%), February 25, 2025.

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Pengyu Dai, Yafei Ou^#, Yuqiao Yang, Dichao Liu, Masahiro Hashimoto, Masahiro Jinzaki, Mototaka Miyake, Kenji Suzuki.
In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (acceptance rate: 31%), October 06, 2024.

A Deep Registration Method for Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis

Haolin Wang^*, Yafei Ou^*^#, Wanxuan Fang, Prasoon Ambalathankandy, Naoto Goto, Gen Ota, Taichi Okino, Jun Fukae, Kenneth Sutherland, Masayuki Ikebe, Tamotsu Kamishima.
In Computerized Medical Imaging and Graphics (IF: 4.9), July 15, 2023.

A Sub-pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis (Featured Article, Top 7% & Cover Article of Special Issue, 1/12) (2023 IEEE Sapporo Young Professionals Best Paper Award)

Yafei Ou, Prasoon Ambalathankandy, Ryunosuke Furuya, Seiya Kawada, Tianyu Zeng, Yujie An, Tamotsu Kamishima, Kenichi Tamura, Masayuki Ikebe^#.
In IEEE Journal of Biomedical and Health Informatics (IF: 6.8), October 27, 2022.

Real-Time Tone Mapping: A Survey and Cross-Implementation Hardware Benchmark

Yafei Ou, Prasoon Ambalathankandy, Shinya Takamaeda, Masato Motomura, Tetsuya Asai, Masayuki Ikebe^#.
In IEEE Transactions on Circuits and Systems for Video Technology (IF: 11.1), February 18, 2021.

Award

2023 IEEE Sapporo Young Professionals Best Paper Award, IEEE Sapporo Young Professionals, July 2023.

Featured Article (Top 7%), IEEE Journal of Biomedical and Health Informatics, January 2023.

Cover Article of Special Issue (1/12), IEEE Journal of Biomedical and Health Informatics, January 2023.