Scholar
Yuting (Bruce) He 何宇霆
Google Scholar ID: WYzBMTUAAAAJ
Case Western Reserve University
Citations & Impact
Citations
4,052
H-index
18
i10-index
22
Publications
20
Co-authors
8
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published over 20 peer-reviewed journal/conference articles, including RBME, CVPR, ECCV, TNNLS, MedIA, NC, TIP, J-BHI, IJCAI, MICCAI, IPMI, etc. Some notable publications include:
- - 'Adaptation follow human attention: Gaze-assisted medical segment anything model' accepted by IEEE TCSVT (IF: 11.1)
- - 'Conditional Virtual Imaging for Few-Shot Vascular Image Segmentation' accepted by IEEE TMI (IF: 9.8)
- - One paper accepted by ICCV 2025
- - One paper accepted by ICML 2025
- - 'Homeomorphism and Medical Image Representation Learning' accepted by T-PAMI (IF: 20.8)
- - A survey on healthcare foundation models accepted by IEEE RBME (IF: 17.2)
- - Released an imaging foundation model, TAMP, which can achieve universal enhancement for any non-ideal measurement CT images
- - Released a survey titled 'Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions'
- - PhD thesis: 'Data-Efficient Learning Algorithm in Medical Image Segmentation' (in Chinese)
- - 'Segment Anything in Medical Images' formally accepted by Nature Communications (IF: 17.0)
- - One paper accepted by ICCV 2023
- - Two papers accepted by MICCAI 2023
- - One paper accepted by CVPR 2023
- - One paper accepted by JBHI
- - One paper accepted by KBS
- - One paper accepted by TNNLS
- - Four papers accepted by MICCAI 2022
- - One paper accepted by IJCAI
- - One paper accepted by TIP
Research Experience
- Currently a Research Associate in the Department of Biomedical Engineering at Case Western Reserve University, working with Shuo Li. Organized the MICCAI-KiPA22 challenge and provided professional service for J-BHI, TMI, CVPR, ICCV, MICCAI, AAAI, and NeurIPS.
Education
- Graduated from Southeast University in 2023 with a Ph.D. under the supervision of Shuo Li.
Background
- Research interests include biomedical informatics, computer vision, and deep learning, focusing on developing novel methodologies to more efficiently extract knowledge from medical information for computer-aided diagnosis, surgery, and medical imaging.
Miscellany
- Personal interests include research in medical image analysis and foundational models.
