Department of Biomedical Informatics
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
Oct 22, 2020
Oct 16, 2020
Sep 26, 2020
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!
Jan 18, 2020
Excited to give a talk in DeepMind about Real-World Applications of Explainable Models in Medical Imaging!
Dec 23, 2019
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%]