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Streaming Principal Component Analysis From Incomplete Data., , , and . J. Mach. Learn. Res., (2019)Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function., , , , and . CoRR, (2024)Supervised learning of model observers for assessment of CT image reconstruction algorithms., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160B. SPIE, (2020)Deep Learning Techniques for Inverse Problems in Imaging., , , , , and . IEEE J. Sel. Areas Inf. Theory, 1 (1): 39-56 (2020)A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery., and . IEEE Trans. Computational Imaging, 3 (4): 535-550 (2017)Iterative Shrinkage Algorithm for Patch-Smoothness Regularized Medical Image Recovery., , and . IEEE Trans. Medical Imaging, 34 (12): 2417-2428 (2015)Model Adaptation for Inverse Problems in Imaging., , and . IEEE Trans. Computational Imaging, (2021)Optimizing model observer performance in learning-based CT reconstruction., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Low algebraic dimension matrix completion., , , , and . Allerton, page 790-797. IEEE, (2017)Accelerated MRI using iterative non-local shrinkage., , and . EMBC, page 1545-1548. IEEE, (2014)