Scholar
Shuo Li
Google Scholar ID: 6WNtJa0AAAAJ
Fellow of SPIE, AIMBE, AAIA, IET, and IAMBE; Chair Professor, Case Western Reserve University
Artificial Intelligence
Vision-Language Model
Machine Learning
Medical Image Analysis
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Homepage
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Citations & Impact
All-time
Citations
17,193
H-index
67
i10-index
349
Publications
20
Co-authors
177
list available
Contact
Email
shuo.li11@case.edu
Twitter
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LinkedIn
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Publications
8 items
Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
2026
Cited
0
Frequency-Modulated Visual Restoration for Matryoshka Large Multimodal Models
2026
Cited
0
VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs
2026
Cited
0
MRI Contrast Enhancement Kinetics World Model
2026
Cited
0
Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning
2026
Cited
0
What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation
2026
Cited
0
Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
2026
Cited
1
The Forecast After the Forecast: A Post-Processing Shift in Time Series
2026
Cited
0
Resume (English only)
Academic Achievements
Over 300 publications
Editor of six Springer books
Associate editor for several prestigious journals
Fellow of IAMBE (2025)
Member of NAAI (2025)
Case School of Engineering Faculty Research Award (2025)
Leonard Case, Jr. Chair Professorship (2025)
Fellow of IET (2025)
Fellow of SPIE (2025)
Fellow of AAIA (2025)
Received numerous awards from GE, institutes, and international organizations
Research Experience
Director, Center for Computational Imaging and Personalized Diagnostics (CCIPD)
Co-director, Center for AI Enabling Discovery in Disease Biology (AID2B), with Jacob Scott
Board of Scientific Counselors, NIH-National Library of Medicine
Board of Directors, MICCAI Society (2016–2024)
General Chair, MICCAI 2022 in Singapore
Background
Leonard Case, Jr. Professorship in Engineering at Case Western Reserve University
Professor in Biomedical Engineering and Department of Computer and Data Sciences
Global leader in AI for clinical imaging-centered healthcare
Expertise in machine learning, medical data analytics, and imaging
Current research focuses on image-centered AI systems for cardiology, radiology, urology, surgery, rehabilitation, and cancer
Innovates in deep, regression, reinforcement, adversarial, sparse, spectral, and manifold learning
Serves on committees of influential conferences and societies
Member of the National Academy of Artificial Intelligence (NAAI)
Fellow of SPIE, AAIA, IET, AIMBE, and IAMBE
Co-authors
177 total
Heye Zhang
Professor of Biomedical Engineering, Sun Yat-sen University
Ismail Ben Ayed
Professor, ETS Montreal
Co-author 3
Zhifan Gao
Sun Yat-sen University
Co-author 5
Guanyu Yang
School of Computer Science and Engineering, Southeast University
Yuting (Bruce) He 何宇霆
Case Western Reserve University
Kumaradevan Punithakumar
Associate Professor, University of Alberta
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