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Aniket Pramanik

Showing results (1-10 of 8) with videos related to

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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
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
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|August 7, 2020
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Aniket Pramanik, Hemant Kumar Aggarwal, 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.
Magnetic Resonance in Medicine|June 19, 2023
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDLAniket Pramanik, Sampada Bhave, Saurav Sajib, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
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
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
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|August 7, 2020
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Aniket Pramanik, Hemant Kumar Aggarwal, 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.
Magnetic Resonance in Medicine|June 19, 2023
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDLAniket Pramanik, Sampada Bhave, Saurav Sajib, et al.
Pageof 1