most citedAssessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress

20 citations · 20 across the 1 of their papers we have counts for

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1 paper

eess.IV2023★ 20 cited

Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress

Martin Schilling, Christina Unterberg-Buchwald, Joachim Lotz +1

In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation have been developed and analyzed. However, nearly all of them are focused on cine CMR under…