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3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI.

, , , , , and . MLMIR@MICCAI, volume 12450 of Lecture Notes in Computer Science, page 3-16. Springer, (2020)

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High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning., , , , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 126-134. Springer, (2018)Learning beamforming in ultrasound imaging., , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 493-511. PMLR, (2019)Self-supervised Learning of Inverse Problem Solvers in Medical Imaging., , , , , and . DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 111-119. Springer, (2019)Learning Fast Magnetic Resonance Imaging., , , , , and . CoRR, (2019)High Quality Ultrasonic Multi-line Transmission Through Deep Learning., , , , , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 147-155. Springer, (2018)Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI., , , , , and . ICASSP, page 8653-8657. IEEE, (2020)3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI., , , , , and . MLMIR@MICCAI, volume 12450 of Lecture Notes in Computer Science, page 3-16. Springer, (2020)Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study., , , , , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 218-228. Springer, (2023)