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IEEE Transactions on Medical Imaging|August 7, 2020
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|August 2, 2021
ENSURE: ENSEMBLE STEIN'S UNBIASED RISK ESTIMATOR FOR UNSUPERVISED LEARNINGHemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob
IEEE Transactions on Medical Imaging|November 23, 2022
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction AlgorithmsHemant Kumar Aggarwal, Aniket Pramanik, Maneesh John, et al.
IEEE Journal of Selected Topics in Signal Processing|February 22, 2021
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and ReconstructionHemant Kumar Aggarwal, Mathews Jacob
Proceedings. IEEE International Symposium on Biomedical Imaging|August 6, 2021
RECONSTRUCTION AND SEGMENTATION OF PARALLEL MR DATA USING IMAGE DOMAIN DEEP-SLRAniket Pramanik, Mathews Jacob
Proceedings. IEEE International Symposium on Biomedical Imaging|May 13, 2024
ACCELERATED PARALLEL MRI USING MEMORY EFFICIENT AND ROBUST MONOTONE OPERATOR LEARNING (MOL)Aniket Pramanik, Mathews Jacob
Proceedings. IEEE International Symposium on Biomedical Imaging|February 15, 2021
CALIBRATIONLESS PARALLEL MRI USING MODEL BASED DEEP LEARNING (C-MODL)Aniket Pramanik, Hemant Aggarwal, Mathews Jacob
Proceedings. IEEE International Symposium on Biomedical Imaging|February 15, 2021
MODEL BASED IMAGE RECONSTRUCTION USING DEEP LEARNED PRIORS (MODL)Hemant Kumar Aggarwal, Merry P Mani, Mathews Jacob
IEEE Transactions on Computational Imaging|April 24, 2023
Memory-efficient model-based deep learning with convergence and robustness guaranteesAniket Pramanik, M Bridget Zimmerman, Mathews Jacob
Magnetic Resonance in Medicine|December 3, 2019
Improved MUSSELS reconstruction for high-resolution multi-shot diffusion weighted imagingMerry Mani, Hemant Kumar Aggarwal, Vincent Magnotta, et al.
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