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IEEE Journal of Selected Topics in Signal Processing
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February 22, 2021
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction
Hemant Kumar Aggarwal, Mathews Jacob
IEEE Transactions on Computational Imaging
|
May 8, 2025
Multi-Scale Energy (MuSE) framework for inverse problems in imaging
Jyothi Rikhab Chand, Mathews Jacob
Proceedings. IEEE International Symposium on Biomedical Imaging
|
August 29, 2025
MEMORY-EFFICIENT DEEP END-TO-END POSTERIOR NETWORK (DEEPEN) FOR INVERSE PROBLEMS
Jyothi Rikhab Chand, Mathews Jacob
IEEE Transactions on Medical Imaging
|
February 4, 2009
Algebraic decomposition of fat and water in MRI
Mathews Jacob, Bradley P Sutton
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|
March 12, 2026
MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model
Jyothi Rikhab Chand, Mathews Jacob
Magnetic Resonance in Medicine
|
March 2, 2018
A general algorithm for compensation of trajectory errors: Application to radial imaging
Merry Mani, Vincent Magnotta, Mathews Jacob
Proceedings. IEEE International Symposium on Biomedical Imaging
|
March 26, 2014
A FAST MAJORIZE MINIMIZE ALGORITHM FOR HIGHER DEGREE TOTAL VARIATION REGULARIZATION
Yue Hu, Sathish Ramani, Mathews Jacob
IEEE Transactions on Medical Imaging
|
October 19, 2018
Calibration-Free B0 Correction of EPI Data Using Structured Low Rank Matrix Recovery
Arvind Balachandrasekaran, Merry Mani, Mathews Jacob
Medical Journal, Armed Forces India
|
June 4, 2016
Use of Ambu aScope for tracheal intubation in anticipated difficult airway, a boon
Mathews Jacob, D Vivekanand, Anoop Sharma
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
Page
of 14
Search research articles
Search
Showing results (31-40 of 136) with videos related to
Sort By:
Page
of 14
IEEE Journal of Selected Topics in Signal Processing
|
February 22, 2021
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction
Hemant Kumar Aggarwal, Mathews Jacob
IEEE Transactions on Computational Imaging
|
May 8, 2025
Multi-Scale Energy (MuSE) framework for inverse problems in imaging
Jyothi Rikhab Chand, Mathews Jacob
Proceedings. IEEE International Symposium on Biomedical Imaging
|
August 29, 2025
MEMORY-EFFICIENT DEEP END-TO-END POSTERIOR NETWORK (DEEPEN) FOR INVERSE PROBLEMS
Jyothi Rikhab Chand, Mathews Jacob
IEEE Transactions on Medical Imaging
|
February 4, 2009
Algebraic decomposition of fat and water in MRI
Mathews Jacob, Bradley P Sutton
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|
March 12, 2026
MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model
Jyothi Rikhab Chand, Mathews Jacob
Magnetic Resonance in Medicine
|
March 2, 2018
A general algorithm for compensation of trajectory errors: Application to radial imaging
Merry Mani, Vincent Magnotta, Mathews Jacob
Proceedings. IEEE International Symposium on Biomedical Imaging
|
March 26, 2014
A FAST MAJORIZE MINIMIZE ALGORITHM FOR HIGHER DEGREE TOTAL VARIATION REGULARIZATION
Yue Hu, Sathish Ramani, Mathews Jacob
IEEE Transactions on Medical Imaging
|
October 19, 2018
Calibration-Free B0 Correction of EPI Data Using Structured Low Rank Matrix Recovery
Arvind Balachandrasekaran, Merry Mani, Mathews Jacob
Medical Journal, Armed Forces India
|
June 4, 2016
Use of Ambu aScope for tracheal intubation in anticipated difficult airway, a boon
Mathews Jacob, D Vivekanand, Anoop Sharma
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
Page
of 14