Correcting Susceptibility Artifacts of MRI Sensors in Brain Scanning: A 3D Anatomy-Guided Deep Learning Approach.
Soan Thi Minh DuongSon Lam PhungAbdesselam BouzerdoumSui Paul AngMark M. SchiraPublished in: Sensors (2021)
Keyphrases
- deep learning
- deep brain
- medical images
- brain anatomy
- brain tissue
- mri scans
- magnetic resonance images
- tissue segmentation
- magnetic resonance imaging
- brain images
- unsupervised feature learning
- medical imaging
- mri data
- intra subject
- unsupervised learning
- inter subject
- brain atlas
- mr images
- imaging modalities
- mental models
- machine learning
- weakly supervised
- human brain
- anatomical structures
- white matter
- feature selection
- three dimensional
- deep architectures
- cortical surface
- higher order
- skull stripping
- high resolution
- subthalamic nucleus
- ct images
- supervised learning
- active learning
- magnetic resonance