3 papers
eess.IV2024
GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning
Marina Manso Jimeno, Keren Bachi, George Gardner +3
Functional magnetic resonance imaging techniques benefit from echo-planar imaging's fast image acquisition but are susceptible to inhomogeneities in the main magnetic field, result…
cs.CV2024
Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence
Marina Manso Jimeno, Keerthi Sravan Ravi, Maggie Fung +2
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 s…
cs.CV2018
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks
Fabian Balsiger, Amaresha Shridhar Konar, Shivaprasad Chikop +4
Magnetic resonance fingerprinting (MRF) quantifies multiple nuclear magnetic resonance parameters in a single and fast acquisition. Standard MRF reconstructs parametric maps using…