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Joint Maximum Likelihood Estimation of Motion and T1 Parameters from Magnetic Resonance Images in a Super-resolution Framework: a Simulation Study., , , , , , , and . Fundam. Informaticae, 172 (2): 105-128 (2020)Optimal Experimental Design for Diffusion Kurtosis Imaging., , , , and . IEEE Trans. Medical Imaging, 29 (3): 819-829 (2010)A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine., , , , , , , , and . NeuroImage, (2022)Segmentation Based Noise Variance Estimation from Background MRI Data., , , and . ICIAR (1), volume 6111 of Lecture Notes in Computer Science, page 62-70. Springer, (2010)Longitudinal analysis of diffusion-weighted MRI with a ball-and-sticks model., , , , , , and . ISBI, page 783-786. IEEE, (2017)High resolution T1 estimation from multiple low resolution magnetic resonance images., , , , and . ISBI, page 1036-1039. IEEE, (2015)Super-resolution in MRI: better images faster?, , , , , , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83143V. SPIE, (2012)Improved Myocardial Scar Characterization by Super-Resolution Reconstruction in Late Gadolinium Enhanced MRI., , , , , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 147-154. Springer, (2013)Super-resolution reconstruction of whole-body MRI mouse data: An interactive approach., , , , , , , , , and 1 other author(s). ISBI, page 1723-1726. IEEE, (2012)Rank-2 model-order selection in diffusion tensor MRI: Infromation complexity based on the total Kullback-Leibler divergence., , , , and . ISBI, page 926-929. IEEE, (2015)