Mohammad Tarique Hussain, M.D., Ph.D.
Faculty Profile
Associate Professor, Pediatrics and Radiology
Director of Congenital Cardiac Magnetic Resonance Imaging, Children's Health℠ Children's Medical Center
Dr. Hussain is keenly focused on the use of advanced imaging techniques to advance patient care and education.
F. Gerald Greil, M.D., Ph.D.
Faculty Profile
Professor, Pediatrics, Advanced Imaging Research Center, and Radiology
Director, Division of Pediatric Cardiology
Holder of the Pogue Family Distinguished Chair in Pediatric Cardiology
Dr. Greil is interested in improving imaging techniques for use in children. He is heavily involved in 3D printing and improving CMR sequences for clinical use.
Jeanne Dillenbeck, M.D.
Faculty Profile
Associate Professor, Radiology
Jeanne Dillenbeck is a clinical educator in Pediatric Radiology. She has a special interest in cardiac radiology and has been involved in the implementation of novel cardiac CT techniques into clinical practice.
Qing Zou, PhD
Assistant Professor, Pediatrics, Advanced Imaging Research Canter, Radiology
Qing Zou is an MRI Scientist. He completed his PhD from the University of Iowa entitled "Sampling and Recovery on Parametric Manifolds". His current research interests are:
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Unsupervised learning for cardiac MRI processing: Using deep generative models for solving inverse problems arising in MRI processing, especially cardiac MRI processing.
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Pulse sequences development for cardiopulmonary MRI: Development of sequences for cardiopulmonary MRI.
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Theoretical machine learning for MRI: Studying the interface between machine learning and applied mathematics with specific application to cardiopulmonary MRI. Understanding the theoretical aspects of deep learning for MRI processing.
Radomir Chabiniok, MD, PhD, Assistant Professor Pediatrics.
Radomir Chabiniok has a dual-background (MD and applied mathematics) and experience in cardiovascular magnetic resonance particularly for congenital heart diseases. He has an interest in the translation of cardiovascular modeling into routine clinical application. This intrinsically multi-disciplinary goal can only be achieved in tight collaborations between teams of cardiovascular clinicians; mathematical and biomechanical modelers; and researchers in advanced data acquisition and processing.
Pediatric Interventional Cardiac MRI Team