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An Explainable Machine Learning Approach Reveals Prognostic Significance of Right Ventricular Dysfunction in Nonischemic Cardiomyopathy Fahmy AS, Csecs I, Arafati A, Assana S, Yankama TT, Al-Otaibi T, Rodriguez J, Chen YY, Ngo LH, Manning WJ, Kwong RY, Nezafat R. Abstract Objectives: We implemented...

Open Source Software

The Harvard Cardiovascular MR Center strives to make its research widely accesible through the sharing of open source codes and datasets whenever possible. Codes You can find codes on our lab's GitHub. To see all of our available project repositories, please click here. Data You can find datasets...

Shiro Nakamori, M.D., Ph.D.

Dr. Nakamori is a visiting scientist in Dr. Nezafat's laboratory. He is currently an Assistant Professor of Cardiology at the Mie University Graduate School of Medicine and Director of General Cardiology and Nephrology at Mie University Hospital.Dr. Nakamori's research activities focus on...

Identification of right ventricular infarction using dark-blood late gadolinium enhanced LGE-CMR in a swine ischemia-reperfusion model

Whitaker, John, Cory M. Tschabrunn, Elad Anter, Warren J. Manning, and Reza Nezafat. 2017. “Identification of Right Ventricular Infarction Using Dark-Blood Late Gadolinium Enhanced LGE-CMR in a Swine Ischemia-Reperfusion Model”. 20th Annual Scientific Sessions Society for Cardiovascular Magnetic Resonance Washington DC USA.