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.