Biomedical Image Analysis for Image Guided Interventions Laboratory
Biomedical image analysis techniques are transforming the way many clinical interventions are performed and enabling the creation of new computer-assisted interventions and surgical procedures. The Biomedical Image Analysis for Image-Guided Interventions Laboratory (BAGL) investigates novel medical image processing and analysis techniques with emphasis on creating image analysis-based solutions to clinical problems. The lab explores state-of-the-art image analysis techniques, such as deep learning, statistical shape models, graph search methods, level set techniques, image registration techniques, and image-based bio-models. The lab is currently developing novel systems for cochlear implant procedures including systems that use image analysis techniques for (1) comprehensive pre-operative surgery planning and intra-operative guidance and (2) post-operative image analysis to optimize hearing outcomes.
PI: Jack H. Noble, Ph.D.
Assistant Professor of Electrical and Computer Engineering
Professor Noble is in the Dept. of Electrical & Computer Engineering at Vanderbilt University and is the principal investigator for BAGL. He has secondary appointments in the Computer Science, Biomedical Engineering, Otolaryngology – Head and Neck Surgery, and Hearing and Speech Sciences departments.
BAGL @ SPIE ’23
Rueben Banalagay Ziteng Liu Mohammad Khan
Erin Bratu Hannah Mason Yike Zhang
Ange Lou Minh Vu
François-Xavier Carton, Ph.D. Ahmet Cakir, Ph.D.
Xujuan Sun, M.S.