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Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.

, , , , , , and . MLMIR@MICCAI, volume 11905 of Lecture Notes in Computer Science, page 71-79. Springer, (2019)

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FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging., , , , , , , , , and 1 other author(s). CoRR, (2023)Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge., , , , , , , , , and 31 other author(s). MLMIR@MICCAI, volume 12964 of Lecture Notes in Computer Science, page 25-34. Springer, (2021)End-to-End Variational Networks for Accelerated MRI Reconstruction., , , , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 64-73. Springer, (2020)Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions., , , , , , and . MLMIR@MICCAI, volume 11905 of Lecture Notes in Computer Science, page 71-79. Springer, (2019)A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction., , , , , , , , and . MLMIR@MICCAI, volume 12964 of Lecture Notes in Computer Science, page 45-53. Springer, (2021)