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
Jul 06, 2023
Congratulation to Max Reynolds for his first journal in NeuroImage Clinical Journal! The paper revisits the COMBAT method from a fully Bayesian point of view.
Jun 23, 2023
Jun 20, 2023
We use DL techniques to define new COPD axes using CT imaging and gene expression data. Congratulation to Junxiang for his paper in the COPD Journal! The pre-print is here!
Apr 24, 2023
Congratulations to Shantanu and Ke! Their first paper is accepted to ICML 2023. Find the paper, code, and more on the project page.
Oct 11, 2022
Congrats to Sumedha and Nihal for their paper in WACV! They showed how our previous work on Counterfactual Explainer could be used to fix an overconfident BlackBox classifier!
Sep 07, 2022
Happy for Yingci! Her manuscript has been accepted to Oral Oncology!
Sep 02, 2022
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%]