Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts.
Alejandro Mora-RubioMichelle NogaKumaradevan PunithakumarPublished in: STACOM@MICCAI (2022)
Keyphrases
- motion artifacts
- beating heart
- magnetic resonance imaging
- medical images
- computer tomography
- medical imaging
- computed tomography
- mri images
- mri data
- motion compensation
- respiratory motion
- magnetic resonance images
- optical coherence tomography
- cardiac motion
- pattern recognition
- x ray
- minimally invasive
- magnetic resonance
- mr imaging
- ct scans
- ct images
- image analysis
- image segmentation
- machine learning
- medical image analysis
- anatomical structures
- ct data
- clinical applications
- segmentation algorithm
- feature extraction
- imaging modalities
- cone beam
- multiscale
- high resolution
- carotid artery
- segmentation method
- mr images
- fully automatic
- level set
- deformable models
- brain images
- object recognition
- image reconstruction