Kayhan Batmanghelich
Department of Electrical and Computer Engineering
batman@bu.edu
Phone: 617-358-0538
My CV (please contact me)
8 St Mary’s St, Office 421
Boston, MA 02215
I am an Assistant Professor at the Department of Electrical and Computer Engineering at Boston University. My research is at the intersection of medical vision (medical image analysis), machine learning, and bioinformatics. I develop algorithms to analyze and understand medical images, genetic data, and other electrical health records, such as clinical reports. The main themes of research in my lab are about the main challenges of AI in healthcare: (1) Explainability, (2) Data Efficiency, (3) Multimodal Data Fusion, and Causality. My lab works on Alzheimer’s Disease, Chronic Obstructive Pulmonary Disease (COPD), and Non-Alcoholic Fatty Liver Disease (NAFLD) projects. Our research is supported by funding from NIH, NSF, and industry awards. Read More
Recent News
Sep 30, 2024
Our collaborative project with Dr. Eslami and Dr. Poynton has received a Google Academic Research Award!
Aug 22, 2024
RSNA Radiology AI journal accepted our paper about disease change identification using an anatomically informed approach. Congrats to Ke and the rest of the team!
Jun 05, 2024
May 15, 2024
Our collaborative project with Dr. Clare Poynton to develop a Vision Language model to audit risk models for breast cancer has received Hariri Focused Research awards!
May 13, 2024
Dec 05, 2023
Sep 27, 2023
Selected Publications
K.N. Batmanghelich, A. Dalca, G. Quon, M. Sabuncu, P. Golland
IEEE Trans Med Imaging
S. Singla, B. Pollack, J. Chen, K. Batmanghelich
Eighth International Conference on Learning Representations (ICLR)
S. Singla, M. Gong, S. Ravanbakhsh, F. Sciurba, B. Poczos, K. Batmanghelich
Medical Image Computing & Computer-Assisted Intervention (MICCAI)
M.*, Y. Xu*, Ch. Li, Kun Zhang, K. Batmanghelich (*: equal contribution)
NeurIPS 2019 [Spotlight 2.4%]