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Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones., , , , and . CoRR, (2018)General Phase Regularized Reconstruction using Phase Cycling., , and . CoRR, (2017)VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis., , , , and . CoRR, (2019)Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging., , , , , , and . ISBI, page 1056-1059. IEEE, (2020)Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges., , , , , , , , and . ISBI, page 337-340. IEEE, (2020)Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning., , , , , and . CoRR, (2019)Position Prediction as an Effective Pretraining Strategy., , , , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 26010-26027. PMLR, (2022)Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging., , , , , and . IEEE Signal Process. Mag., 37 (1): 117-127 (2020)Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model., , , , , , and . CoRR, (2019)Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges., , , , , , , , and . CoRR, (2019)