Kayhan Batmanghelich
Department of Biomedical Informatics
kayhan@pitt.edu
Phone: 412-648-9037
Pitt DBMI Website
My CV
Admin Support: Maria Bond (bond@pitt.edu)
Room 531
5607 Baum Blvd, Suite 500
Pittsburgh, PA 15206-3701
I am an Assistant Professor of Department of Biomedical Informatics and Intelligent Systems Program with secondary appointments in the Computer Science and Electrical Engineering Departments at the University of Pittsburgh and an adjunct faculty in the Machine Learning Department at the Carnegie Mellon 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 image along with genetic data and other electrical health records such as the clinical report. For example, we are developing a probabilistic model to extract information from brain images (Magnetic Resonance Images) of patients with Alzheimer’s disease and relate them the underlying genetic markers involved in the disease. We are interested in method development as well as translational clinical problems because after all, exciting research directions are coming from real applications. Read More
Recent News
Dec 11, 2020
I am happy for Sumedha! Her first journal is accepted to Medical Physics!
Dec 02, 2020
Oct 22, 2020
Congratulations to Ke Yu! His paper is accepted to the Journal of Chemical Information and Modeling. The method integrates drug taxonomy with chemical structure and enables localizing novel molecules in the context of the clinically approved drugs.
Oct 16, 2020
Congratulations to Brian! His collaborative work with Stephen Cai and Amir Borhani on estimating liver stiffness using a machine learning method received Cum Laude Award from the 43rd Society of Body Imaging Conference.
Sep 26, 2020
Congratulations to Mingming Gong! His awesome paper (Preprint) is accepted to the Oxford Bioinformatics Journal! Fundamental and rigorous research for inference of statical independence which uses unpaired data!
Aug 21, 2020
I am excited to present at the Oxford ML Summer School (OxML 2020)! I will talk about various applications and challenges of Machine Learning in Medical Imaging!
Jun 06, 2020
Our paper (Label-Noise Robust Domain Adaptation) is accepted to ICML 2020! Congrats to Xiyu Yu and the team!
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%]