T32 Presentations - Session 1: Evan Calabrese, MD, PhD, Milan Manchandia, MD

The Department of Radiology and Biomedical Imaging has a long record of excellence in clinical and academic radiology, and has one of the largest research enterprises funded through intra- and extramural funding and private donors. With numerous outstanding basic scientists and clinicians engaged in innovative imaging research across five principal campus units, the department provides a fertile ground for interdisciplinary collaboration. The T32 program exists to jumpstart the academic careers of junior radiologists and nuclear medicine physicians and to provide the essential foundation for developing a research program as an independent investigator. Learn more about the T32 program.

Artificial Intelligence Opportunities in Multimodal Brain Tumor MRI

Evan Calabrese, MD, PhD is a PGY5 Diagnostic Radiology Resident and T32 fellow in the Department of Radiology and Biomedical Imaging. Dr. Calabrese's research is focused on using computational image analysis methods including deep learning to solve big data problems in multimodal brain tumor MRI. His main projects include using automated analysis of preoperative brain MRI to predict clinically relevant tumor genetic biomarkers in patients with glioblastomas and using deep learning to simulate contrast enhanced MRI for patients with brain tumors who cannot, or choose not to, receive intravenous MRI contrast agents.