Robert Biederman

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We investigate machine learning methods for diagnostic screening of heart disease. Coronary heart disease is the leading cause of death in the US, causing more deaths than all types of cancers combined. Early diagnosis of heart disease in women is harder than it is in men and typically requires the administration of several clinical tests on the patient.(More)
Coronary arteriovenous fistulas are among rare anomalies of coronary arteries. Role of X-ray angiography is well established in identification and characterization of these anomalies, however there accurate course and termination is often not defined. We demonstrate role of routine cardiovascular MRI in non-invasively diagnosing and characterizing the(More)
BACKGROUND Patients with newly diagnosed dilated cardiomyopathy (DCM) and advanced heart failure have a very high morbidity and mortality with an unpredictable clinical course. We investigated the role of cardiovascular magnetic resonance (CMR) imaging using late gadolinium enhancement (LGE) in this cohort of high-risk patients. We hypothesized that LGE has(More)
Giant cell myocarditis, but not cardiac sarcoidosis, is known to cause fulminant myocarditis resulting in severe heart failure. However, giant cell myocarditis and cardiac sarcoidosis are pathologically similar, and attempts at pathological differentiation between the two remain difficult. We are presenting a case of fulminant myocarditis that has(More)
The use of Cardiovascular Magnetic Resonance (CMR) for the interrogation of the cardiovascular system is well established. As surgical techniques evolve seeking to address ischemic cardiomyopathic patients with increasing levels of cardiac functional perturbations, an imaging technique that is sufficiently comprehensive to complement these approaches is(More)
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