Published several preprints such as 'C3VDv2 — Colonoscopy 3D video dataset with enhanced realism', 'Multi-contrast laser endoscopy for in vivo gastrointestinal imaging', etc.; Presented at numerous international conferences.
Research Experience
Involved in multiple research projects including quantitative endoscopy, deep learning applications, imaging of optical properties, non-invasive blood analysis, and ocular diagnostics.
Background
Research interests span optical engineering, light-tissue interaction, computer vision, machine learning, and biodesign.
Miscellany
The lab is dedicated to creating technologies that improve diagnostics, reduce costs, and increase accessibility to high-quality healthcare.