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Dr Mirabela Rusu

Department of Radiology, Stanford University, Stanford, California, USA

About this speaker

Dr. Mirabela Rusu received her MS and PhD in Computational Biomedicine from University of Texas, Houston, and focused her research on the fusion of biomolecular structural data from different sources (i.e., cryo-electron microscopy and X-ray crystallography). Her postdoctoral training at Rutgers and Case Western Reserve University was focused on developing computational methods for the fusion of medical images, i.e., to register radiology or pathology images, or create population atlases for prostate cancer studies. Following postdoctoral training, Dr. Rusu joined GE Global Research as an Image Analysis Scientist/Lead Engineer. Currently, Dr. Rusu is an Assistant Professor of Radiology, and by courtesy, Urology, at Stanford University, where she leads the Personalized Integrative Medicine Laboratory (http://pimed.stanford.edu). Dr. Rusu’s team focuses on developing analytic methods to improve the interpretation of radiology images by taking advantage of existing pathology information during training but only needing the radiology images during inference (e.g., when applied in new patients).

Talks

Improving the interpretation of radiology images via multi-modal machine learning

06 October 2023, 04:00 PM
Dr Mirabela Rusu