Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.
Ilkay ÖksüzJames R. CloughBram RuijsinkEsther Puyol-AntónAurélien BustinGastão CruzClaudia PrietoAndrew P. KingJulia A. SchnabelPublished in: IEEE Trans. Medical Imaging (2020)
Keyphrases
- cardiac mr
- deep learning
- wall motion
- left ventricle
- nonrigid registration
- unsupervised learning
- deformable models
- high resolution
- object detection
- machine learning
- mental models
- segmentation algorithm
- image analysis
- weakly supervised
- three dimensional
- moving objects
- motion analysis
- level set
- magnetic resonance
- motion estimation
- left ventricular
- fully automatic
- motion model
- super resolution
- image sequences
- semi supervised