MANET: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance
Author:
Affiliation:
1. Institute for Infocomm Research,Agency for Science, Technology and Research,Singapore,138632
2. National Heart Research Institute Singapore,National Heart Centre Singapore,Singapore,169609
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9897158/9897159/09898005.pdf?arnumber=9898005
Reference18 articles.
1. Estimation of cardiac valve annuli motion with deep learning;kerfoot;STACOM’20,2020
2. Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis
3. Tvnet: Automated time-resolved tracking of the tricuspid valve plane in mri long-axis cine images with a dual-stage deep learning pipeline;gonzales;MICCAI’21,2021
4. MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study
5. Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis
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