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Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data., , , , and . CoRR, (2019)Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia, , , , , , , , , and 14 other author(s). Nat Rev Cardiol, 17 (7): 427--450 (July 2020)Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI., , , , and . CoRR, (2020)Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation., , , , , and . CoRR, (2021)The Bionic Radiologist: avoiding blurry pictures and providing greater insights., and . npj Digit. Medicine, (2019)Reduction of claustrophobia during magnetic resonance imaging: methods and design of the "CLAUSTRO" randomized controlled trial., , , , , , , , , and 2 other author(s). BMC Medical Imaging, (2011)Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data., , , , and . IEEE Trans. Medical Imaging, 39 (3): 703-717 (2020)The Interplay of Artificial and Human Intelligence in Radiology - Exploring Socio-Technical System Dynamics., and . IHIET, volume 1018 of Advances in Intelligent Systems and Computing, page 390-395. Springer, (2019)Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging., , , , , , and . CoRR, (2019)A U-Nets Cascade for Sparse View Computed Tomography., , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 91-99. Springer, (2018)