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Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.

, , , , , , and . GMDS, volume 243 of Studies in Health Technology and Informatics, page 202-206. IOS Press, (2017)

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Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series., , , , , , and . GMDS, volume 243 of Studies in Health Technology and Informatics, page 202-206. IOS Press, (2017)Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks., , , , , , , , and . GMDS, volume 267 of Studies in Health Technology and Informatics, page 126-133. IOS Press, (2019)Long-Range Auditory Functional Connectivity in Hearing Loss and Rehabilitation., , , , , , , , , and 1 other author(s). Brain Connect., 11 (6): 483-492 (2021)Robust controlled functional MRI in alert monkeys at high magnetic field: Effects of jaw and body movements., , , , , , and . NeuroImage, 36 (3): 550-570 (2007)Comparison of 3 T and 7 T ASL techniques for concurrent functional perfusion and BOLD studies., , , , , and . NeuroImage, (2017)Non-linear fitting with joint spatial regularization in arterial spin labeling., , , , , , , , , and . Medical Image Anal., (2021)Magnetic resonance imaging of brain function and neurochemistry., , , , , , , , , and 6 other author(s). Proc. IEEE, 89 (7): 1093-1106 (2001)Spatial dependence of the nonlinear BOLD response at short stimulus duration., , , , and . NeuroImage, 18 (4): 990-1000 (2003)RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting., , , , , , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 92-100. Springer, (2019)Abstract: RinQ Fingerprinting., , , , , , , , and . Bildverarbeitung für die Medizin, page 184. Springer, (2020)