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20202023
most citedInterpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset

37 citations · 49 across the 4 of their papers we have counts for

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eess.IV2022

Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts

Carles Garcia-Cabrera, Eric Arazo, Kathleen M. Curran +2

Methods that are resilient to artifacts in the cardiac magnetic resonance imaging (MRI) while performing ventricle segmentation, are crucial for ensuring quality in structural and…