Victor Ferrari

Abstract Cardiac MRI allows for a comprehensive assessment of myocardial structure, function and tissue characteristics. Here we describe a foundational vision system for cardiac MRI, capable of representing the breadth of human cardiovascular disease and health. Our deep-learning model is trained via self-supervised contrastive learning, in which visual concepts in cine-sequence cardiac MRI scans are learned from the raw text of the accompanying radiology reports.

Abstract Diagnosis of acute and late cardiotoxicity from cancer therapeutics has become increasingly important as the scope of cardio-oncology increases exponentially, both in terms of the number of people affected and the types of therapies it encompasses.

Cardiovascular manifestations and treatment considerations in COVID-19 Yu Kang1, http://orcid.org/0000-0003-3768-3143Tiffany Chen1, David Mui2, Victor Ferrari1, Dinesh Jagasia1, Marielle Scherrer-Crosbie1, http://orcid.org/0000-0002-0601-8039Yucheng Chen3, http://orcid.org/0000-0001-7582-1848Yuchi Han1 1 Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA 2 University of Pennsylvania Perelman School of Medicine, Philadelphia,...