Kayhan Batmanghelich

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Kayhan Batmanghelich

Assistant Professor
Department of Biomedical Informatics

kayhan@pitt.edu
Phone: 412-648-9037
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

Two papers are accepted to MICCAI 2021!

Jun 11, 2021

Two papers are accepted in the MICCAI 2021! Congratulations to Sumedha and Rohit!

Invited for Senior Vice Chancellor’s Research Seminar!

May 14, 2021

I’m very honored to give Senior Vice Chancellor’s Research Seminar today. I’ll present research done by brilliant students and postdocs at BatmanLab!

One Early Acceptance to MICCAI!

May 13, 2021

I am excited for Rohit Jena! His paper received Early Acceptance in MICCAI 2021! Pre-print is here!

One paper is accepted to AAAI 2021!

Dec 02, 2020

Congratulations to Li Sun and Ke Yu for their joint paper in AAAI 2021! Their paper show how to incorporate anatomically relevant context to self-supervised learning!

Ke’s journal is accepted to ACM JCIM!

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.

Selected Publications

Probabilistic Modeling of Imaging, Genetics and the Diagnosis

K.N. Batmanghelich, A. Dalca, G. Quon, M. Sabuncu, P. Golland
IEEE Trans Med Imaging

Explanation by Progressive Exaggeration

S. Singla, B. Pollack, J. Chen, K. Batmanghelich

Eighth International Conference on Learning Representations (ICLR)

 

Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector

S. Singla, M. Gong, S. Ravanbakhsh, F. Sciurba, B. Poczos, K.  Batmanghelich
Medical Image Computing & Computer-Assisted Intervention (MICCAI)

Twin Auxiliary Classifiers GAN

M.*, Y. Xu*, Ch. Li, Kun Zhang, K. Batmanghelich (*: equal contribution)
NeurIPS 2019 [Spotlight 2.4%]

Lab Members

Tigmanshu Chaudhary

Master
Machine Learning Engineer

Junxiang Chen

PhD
Post Doctoral Researcher

Sumedha Singla

PhD Student (Pitt-CS)
Research Assistant

Ke Yu

PhD Student (Pitt-ISP)
Research Assistant

Li Sun

PhD Student (Pitt-ISP)
Research Assistant

Yanwu Xu

PhD Student (Pitt-ISP)
Research Assistant

Rohit Kumar Jena

Master Student (CMU-Robotics)
Intern

Shantanu Ghosh

PhD Student (Pitt-ISP)
Research Assistant

Nihal Murali

PhD Student (Pitt-ISP)
Research Assistant

Matthew Ragoza

PhD Student (Pitt-ISP)
Research Assistant

Maxwell Raynolds

PhD Student (Pitt-DBMI)
Research Assistant

Alumni

Jiaming Bai

Lisa Hou

Fan Qian

Keyi Yu