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Found 4 papers, 1 papers with code
GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning
Traditional methods leverage a field map or voxel displacement map for distortion correction.
Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence
Quality assessment, including inspecting the images for artifacts, is a critical step during MRI data acquisition to ensure data quality and downstream analysis or interpretation success.
Developing and deploying deep learning models in brain MRI: a review
Based on these studies and others, we collate the prerequisites to develop and deploy DL models for brain MRI.
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks
Magnetic resonance fingerprinting (MRF) quantifies multiple nuclear magnetic resonance parameters in a single and fast acquisition.
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