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cs.CV2022
Memory-efficient model-based deep learning with convergence and robustness guarantees
Aniket Pramanik, M. Bridget Zimmerman, Mathews Jacob
Computational imaging has been revolutionized by compressed sensing algorithms, which offer guaranteed uniqueness, convergence, and stability properties. Model-based deep learning…
cs.CV2020★ 20 cited
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms
Hemant Kumar Aggarwal, Aniket Pramanik, Maneesh John +1
Image reconstruction using deep learning algorithms offers improved reconstruction quality and lower reconstruction time than classical compressed sensing and model-based algorithm…