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Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique.

, , , and . EMBC, page 1866-1869. IEEE, (2006)

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Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique., , , and . EMBC, page 1866-1869. IEEE, (2006)Deep learning predicts total knee replacement from magnetic resonance images., , , and . CoRR, (2020)Adversarial Policy Gradient for Deep Learning Image Augmentation., , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 450-458. Springer, (2019)Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning., , , , , , , , and . CoRR, (2020)Distance Map Loss Penalty Term for Semantic Segmentation., , , , and . CoRR, (2019)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset., , , , , , , , , and 19 other author(s). CoRR, (2020)Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications., , , , , , , , , and 3 other author(s). J. Digit. Imaging, 36 (2): 401-413 (April 2023)Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform., , , , , , , , , and 3 other author(s). CoRR, (2021)7T Human Spine Imaging Arrays With Adjustable Inductive Decoupling., , , , , , , , , and 1 other author(s). IEEE Trans. Biomed. Eng., 57 (2): 397-403 (2010)Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls., , , , , , and . CoRR, (2023)