I am now a Researcher at Hokkaido University. 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 Computer-aided Diagnosis, Multi-modal, Explainable AI, and Computer Vision.
We are seeking collaborations in rheumatoid arthritis[link].
Publications
FeaturedBy topic
( * Equal Contribution and # Corresponding Author)
RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
(NeurIPS 2025 Scholar Award)
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.
More
Synthetic Data
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.
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.
Medical Visual Question Answering
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.
Cycle-VQA: A Cycle-Consistent Framework for Robust Medical Visual Question Answering
Lin Fan,
Xun Gong#,
Cenyang Zheng,
Xuli Tan,
Jiao Li,
Yafei Ou.
In Pattern Recognition (IF: 7.6),
March 13, 2025.
Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis
Lin Fan,
Xun Gong,
Cenyang Zheng,
Yafei Ou#.
In IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM),
December 03, 2024.
More
Tone Mapping
Real-Time Tone Mapping: A Survey and Cross-Implementation Hardware Benchmark
Bi-directional Mutual Supervision for Adversarial Domain Adaptation in Medical Imaging
Lin Fan,
Xun Gong,
Xinxin Li,
Yafei Ou#.
In IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM) (acceptance rate: 19.6%),
December 15, 2025.
More
Award
NeurIPS 2025 Scholar Award, NeurIPS, December 2025.