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10/27/2021
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications
Purpose: To propose an alternating learning approach to learn the sampli...
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11/04/2020
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems
Purpose: A fast data-driven optimization approach, named bias-accelerate...
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08/22/2020
Fast Proximal Gradient Methods for Nonsmooth Convex Optimization for Tomographic Image Reconstruction
The Fast Proximal Gradient Method (FPGM) and the Monotone FPGM (MFPGM) f...
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04/02/2019