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10.1109/ISBI48211.2021.9433947

Combining the physical interpretation and convergence theory provided by the optimization method with the advantages of deep learning to automatically extract features from big data, we propose a learning nonlocal regularized Iterative Shrinkage-Thresholding Network (LNISTANET) for noninvasive cardiac TMP imaging.

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Sep 17, 2024

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Learning Nonlocal - Combining the physical interpretation and convergence theory provided by the optimization method with the advantages of deep learning to automatically extract features from big data, we propose a learning nonlocal regularized Iterative Shrinkage-Thresholding Network (LNISTANET) for noninvasive cardiac TMP imaging. ^[1]