Quanzheng Li
Scholar

Quanzheng Li

Google Scholar ID: MHq2z7oAAAAJ
Massachusetts General Hospital, Harvard Medical School
Image ReconstructionMedical Image AnalysisDeep Learning in MedicineMultimodality Medical Data Analysis
Citations & Impact
All-time
Citations
17,213
 
H-index
54
 
i10-index
178
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Team member Siyeop Yoon had 3 papers accepted at the MICCAI 2024 main conference; one paper was accepted as a Top 2.6% Spotlight Paper for ICML2025; published a new publication titled 'Texture-preserving low dose CT image denoising using Pearson divergence'; Matthew Tivnan's work on 'Hallucination Index: An Image Quality Metric for Generative Reconstruction Models' was early accepted to MICCAI 2024.
Research Experience
  • Engaged in extensive research on developing, improving, and leveraging large language model (LLM) solutions for healthcare applications; conducted extensive research on the topic of diffusion models in both algorithm development and application in healthcare; undertaken broad research in the development of medical imaging foundation models and the adaptation of general visual foundation models to medical applications.
Background
  • Research interests include the application of large language models in healthcare, diffusion models, and foundation models in medical image analysis.