🧑🎓 About me
I’m a Ph.D student at School of Biomedical Engineering, University of Science and Technology of China. I’m also pursuing my doctoral studies at the Shanghai Innovation Institute (上海创智学院) through a joint program, advised by Prof. Xiaosong Wang and Prof. Xin Gao. Prior to this, I obtained my bachelor’s degree in biomedical engineering from Northeastern University in 2022. My research interests include medical image analysis and AI in medicine, with a particular focus on developing Foundation models and Multimodal LLMs for healthcare applications. My goal is to address medical challenges through computational methods and contribute to improving the quality of healthcare.
In addition to my academic pursuits, I have a keen interest in sports and game data analysis. I maintain PAGE, a large-scale annotated database of professional Go games. I am also the developor of DeepKylin, an AlphaZero-like AI agent for Gomoku. It won the National Computer Game Tournament in both 2020 and 2021.
🔥 News
- 2024.12: 🎉🎉 Our work is accepted at International Journal of Surgery (IF=12.5).
- 2024.11: 🎉🎉 Awarded by Shenyang Natural Science Academic Achievement (First Prize, First Student Contributor), 2024.
- 2024.06: 🎉🎉 Two papers are accepted at MICCAI 2024!
- 2023.12: 🎉🎉 Our work is accepted at IEEE Transactions on Games (IF=2.3).
- 2023.05: 🎉🎉 Our work is accepted at Computers in Biology and Medicine (IF=7.7).
- 2022.06: 🎉🎉 Awarded by Excellence Scholarship, Northeastern University, 2022.
📖 Educations
- 2024 - present, Ph.D. in Artificial Intelligence, Shanghai Innovation Institute, Shanghai, China
- 2024 - present, Ph.D. in Biomedical Engineering, University of Science and Technology of China, Hefei, China
- 2022 - 2024, M.Sc. in Biomedical Engineering, University of Science and Technology of China, Hefei, China
- 2018 - 2022, B.E. in Biomedical Engineering, Northeastern University, Shenyang, China.
📝 Publications
Bingyu Liang#, Yifan Gao#, Taibao Wang, Lei Zhang, Qin Wang
International Journal of Surgery
- Six multimodal large language models (MLLMs) were evaluated across 6 image types, 169 images, and 1084 open-ended clinical questions in laryngeal cancer surgery. Advanced MLLMs demonstrate high accuracy (up to 79.43%) in interpreting diverse image modalities, with commercial models outperforming open-source alternatives. MLLMs show potential to enhance clinical decision-making across the surgical timeline of laryngeal cancer, from preoperative planning to post-operative care.
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
Yifan Gao, Wei Xia, Dingdu Hu, Wenkui Wang, Xin Gao
MICCAI 2024
- DeSAM addresses the performance degradation of SAM in automatic segmentation scenarios. By decoupling the mask generation process from prompts and introducing prompt-relevant IoU and prompt-decoupled mask modules, DeSAM achieves state-of-the-art performance in two public datasets.
MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
Yifan Gao, Wei Xia, Wenkui Wang, Xin Gao
MICCAI 2024
- We developed MBA-Net, a novel architecture for ovarian tumor segmentation that integrates the Segment Anything Model (SAM) with domain-specific knowledge through bidirectional feature aggregation. MBA-Net demonstrates superior segmentation accuracy, robustness to tumor heterogeneity, and strong generalization capability across different imaging modalities and clinical sites.
An Anatomy-aware Framework for Automatic Segmentation of Parotid Tumor from Multimodal MRI
Yifan Gao#, Yin Dai#, Fayu Liu, Weibing Chen, Lifu Shi
Computers in Biology and Medicine
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The Professional Go Annotation Dataset
Yifan Gao, Danni Zhang, Haoyue Li
IEEE Transactions on Games
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Yifan Gao#, Lezhou Wu#
Electronics
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- PGD: A Large-scale Professional Go Dataset for Data-driven Analytics, Yifan Gao, IEEE Conference on Games, 2022
- GomokuNet: A Novel UNet-style Network for Gomoku Zero Learning via Exploiting Positional Information and Multiscale Features, Yifan Gao, Lezhou Wu, Haoyue Li, IEEE Conference on Games, 2021
- TransMed: Transformers Advance Multi-modal Medical Image Classification, Yin Dai, Yifan Gao, Fayu Liu, Diagnostics, 2021 (This paper was the most cited article among 3,223 papers published in this journal in 2021, according to Web of Science)
🏆 Honors and Awards
- Shenyang Natural Science Academic Achievement Award (First Prize, First Student Contributor), 2024
- Academic Scholarship, University of Science and Technology of China, 2022-2024
- Excellence Scholarship, Northeastern University, 2022
- National Computer Game Tournament Champion, 2020-2021
- Academic Scholarship, Northeastern University, 2018-2021
💻 Services
- Reviewer of IEEE Journal of Biomedical and Health Informatics (JBHI), Medical Image Computing and Computer Assisted Intervention (MICCAI), International Journal of Imaging Systems and Technology (IMA), PeerJ Computer Science, IEEE Access
🏸 Hobbies
- Go (Weiqi): Certificated as amateur 5 dan by Chinese Weiqi Association.
- On my spare time, I like playing badminton, tennis, and video games!