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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.IV2023

Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net

Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran

Fetal head segmentation is a crucial step in measuring the fetal head circumference (HC) during gestation, an important biometric in obstetrics for monitoring fetal growth. However…

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…