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Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge., , , , , , , , , and 1 other author(s). CoRR, (2020)Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction., , , , , , , , , and 13 other author(s). IEEE Trans. Medical Imaging, 40 (9): 2306-2317 (2021)Fast T2 Mapping With Improved Accuracy Using Undersampled Spin-Echo MRI and Model-Based Reconstructions With a Generating Function., , , , and . IEEE Trans. Medical Imaging, 33 (12): 2213-2222 (2014)Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications., , and . IEEE Trans. Computational Imaging, (2022)Preconditioned ADMM with Nonlinear Operator Constraint., , , and . System Modelling and Optimization, volume 494 of IFIP Advances in Information and Communication Technology, page 117-126. (2015)Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer., , , , , and . IEEE Trans. Med. Imaging, 36 (1): 1-16 (2017)The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography., , , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94170G. SPIE, (2015)fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data., , , , , , , , , and . CoRR, (2021)Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications., , and . CoRR, (2021)Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR., , , , , , and . Bildverarbeitung für die Medizin, page 94-99. Springer, (2024)