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Myocardium Segmentation

Papers

Showing 1–10 of 23 papers

TitleStatusHype
CineMA: A Foundation Model for Cine Cardiac MRICode2
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in SegmentationsCode1
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimationCode1
Factorised spatial representation learning: application in semi-supervised myocardial segmentationCode0
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation—0
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis—0
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Effects of Image Size on Deep Learning—0
Deep Statistic Shape Model for Myocardium Segmentation—0
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