most citedShape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022★ 11 cited

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI

Sofie Tilborghs, Jan Bogaert, Frederik Maes

Semantic segmentation using convolutional neural networks (CNNs) is the state-of-the-art for many medical image segmentation tasks including myocardial segmentation in cardiac MR i…

eess.IV2020

Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters

Sofie Tilborghs, Tom Dresselaers, Piet Claus +2

Semantic segmentation using convolutional neural networks (CNNs) is the state-of-the-art for many medical segmentation tasks including left ventricle (LV) segmentation in cardiac M…