Dr. Mirabela Rusu received a Master of Engineering from the National Institute of Applied Sciences, France and her MS and PhD in Computational Biomedicine from University of Texas Houston. During her postdoctoral training at Case Western Reserve University, Dr. Rusu developed computational tools for the integration and interpretation of multi-modal medical imaging data. Dr. Rusu joined GE Global Research in 2015 as an Image Analysis Scientist and developed analytic methods for biomedical data interpretation. Since 2018, Dr. Rusu leads the Personalized Integrative Medicine Laboratory (http://pimed.stanford.edu) which focuses on developing analytic methods to spatially align radiology and pathology images in patients that undergo surgery for cancer treatment. Moreover, her team uses the registered data to label the radiology images and extract pathomic MRI biomarkers that allow the training of deep learning models to automatically detect and distinguish indolent from aggressive prostate cancer on MRI.
Bridging the gap between radiology and pathology images
Track Chair: Sean Khozin, CancerLinQ