SOTAVerified

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
RS-MOCO: A deep learning-based topology-preserving image registration method for cardiac T1 mapping—0
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion—0
Segmenting Medical Images: From UNet to Res-UNet and nnUNet—0
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI—0
Temporal-spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of cine CMR Segmentation—0
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation—0
Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac MRI—0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.