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 machine 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 Engineering, Computer Science, 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.
Personnel
Graduate Students
Rueben Banalagay Ziteng Liu Mohammad Khan
Erin Bratu Hannah Mason Yike Zhang
Ange Lou Minh Vu
Alumni
François-Xavier Carton, Ph.D. Ahmet Cakir, Ph.D.
Ghassan Alduraibi
Xujuan Sun, M.S.
Yiqi Zhao
Omer Babademez
Jacob Gifford
Zifeng Liang
Connect with Vanderbilt
©2022 Vanderbilt University ·
Site Development: University Web Communications