Mahdi Bayat, PhD
Research: Medical Imaging and Imaging Informatics
The goal of my research is to create highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and treatment of diseases and biomedical discoveries. By harnessing the power of AI and deep learning, we aim to enhance the quality, create new modalities, facilitate image analysis, and obtain novel imaging features and informatics to fill essential gaps in medical research and patient care.
Appointments
Assistant Professor, Institute for Health Informatics (Core Faculty)
Imaging Informatics Area Leader, Clinical and Translational Science Institute (CTSI)
Education
PhD, University of Minnesota, Twin Cities, 2014
Postdoctoral Fellowship, Mayo Clinic, 2018