Mathews Jacob

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All published works

Action	Title	Year	Authors
+	Monotone Operator Learning: a robust and memory-efficient physics-guided deep learning framework	2024	Aniket Pramanik Mathews Jacob
+ PDF Chat	Denoising Diffusions in Latent Space for Medical Image Segmentation	2024	Fahim Zaman Mathews Jacob Amanda Chang Kan Liu Milan Sonka Xiaodong Wu
+ PDF Chat	Memory-Efficient Deep End-to-End Posterior Network (Deepen) for Inverse Problems	2024	Jyothi Rikhab Chand Mathews Jacob
+ PDF Chat	Local Monotone Operator Learning Using Non-Monotone Operators: MNM-MOL	2024	Maneesh John Jyothi Rikhab Chand Mathews Jacob
+ PDF Chat	Surf-CDM: Score-Based Surface Cold-Diffusion Model for Medical Image Segmentation	2024	Fahim Zaman Mathews Jacob Amanda Chang Kan Liu Milan Sonka Xiaodong Wu
+ PDF Chat	Deep Learning for Accelerated and Robust MRI Reconstruction: a Review	2024	Reinhard Heckel Mathews Jacob Akshay Chaudhari Or Perlman Efrat Shimron
+ PDF Chat	Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems	2024	Jyothi Rikhab Chand Mathews Jacob
+ PDF Chat	Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL	2024	Maneesh John Jyothi Rikhab Chand Mathews Jacob
+	Adapting model‐based deep learning to multiple acquisition conditions: Ada‐MoDL	2023	Aniket Pramanik Sampada Bhave Saurav Z. K. Sajib Samir D. Sharma Mathews Jacob
+ PDF Chat	Separation-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach	2023	Jirong Yi Soura Dasgupta Jian‐Feng Cai Mathews Jacob Jingchao Gao Myung Cho Weiyu Xu
+	Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL)	2023	Aniket Pramanik Mathews Jacob
+	Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI	2023	Yan Chen James H. Holmes Curtis Corum Vincent A. Magnotta Mathews Jacob
+ PDF Chat	Joint Calibrationless Reconstruction and Segmentation of Parallel MRI	2023	Aniket Pramanik Mathews Jacob
+	Plug-and-Play Deep Energy Model for Inverse problems	2023	Jyothi Rikabh Chand Mathews Jacob
+	Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees	2023	Aniket Pramanik M. Bridget Zimmerman Mathews Jacob
+	Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI	2023	Yan Chen James H. Holmes Curtis Corum Vincent A. Magnotta Mathews Jacob
+	Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL)	2023	Aniket Pramanik Mathews Jacob
+	Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL	2023	Aniket Pramanik Sampada Bhave Saurav Z. K. Sajib Samir D. Sharma Mathews Jacob
+	Multi-Scale Energy (MuSE) plug and play framework for inverse problems	2023	Jyothi Rikhab Chand Mathews Jacob
+	Motion Compensated Unsupervised Deep Learning for 5D MRI	2023	Joseph Kettelkamp Ludovica Romanin Davide Piccini Sarv Priya Mathews Jacob
+	Local monotone operator learning using non-monotone operators: MnM-MOL	2023	Maneesh John R. Jyothi Mathews Jacob
+	Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation	2023	Fahim Zaman Mathews Jacob Amanda Chang Kan Liu Milan Sonka Xiaodong Wu
+ PDF Chat	ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms	2022	Hemant Kumar Aggarwal Aniket Pramanik Maneesh John Mathews Jacob
+	Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI	2022	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Sarv Priya Rolf F. Schulte Mathews Jacob
+ PDF Chat	Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM)	2022	Qing Zou Luis Torres Sean B. Fain Nara S. Higano Alister J. Bates Mathews Jacob
+ PDF Chat	Dynamic Imaging Using Motion-Compensated Smoothness Regularization on Manifolds (MOCO-STORM)	2022	Qing Zou Luis Torres Sean B. Fain Mathews Jacob
+ PDF Chat	Joint Alignment and Reconstruction of Multislice Dynamic MRI Using Variational Manifold Learning	2022	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Sarv Priya Rolf F. Schulte Mathews Jacob
+ PDF Chat	Improved Model Based Deep Learning Using Monotone Operator Learning (Mol)	2022	Aniket Pramanik Mathews Jacob
+	Joint cardiac $T_1$ mapping and cardiac function estimation using a deep manifold framework	2022	Qing Zou Mathews Jacob
+	Memory-efficient model-based deep learning with convergence and robustness guarantees	2022	Aniket Pramanik Mathews Jacob
+	Prospectively accelerated dynamic speech MRI at 3 Tesla using a self-navigated spiral based manifold regularized scheme	2022	Rushdi Zahid Rusho Abdul Haseeb Ahmed Stanley J. Kruger Wahidul Alam David J. Meyer David M. Howard Ingo R. Titze Mathews Jacob Sajan Goud Lingala
+	Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP	2021	Maneesh John Hemant Kumar Aggarwal Qing Zou Mathews Jacob
+ PDF Chat	Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Sarv Priya Rolf F. Schulte Mathews Jacob
+	Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR	2021	Aniket Pramanik Mathews Jacob
+	Deep Generative Storm Model for Dynamic Imaging	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Stanley J. Kruger Mathews Jacob
+	Dynamic Imaging Using a Deep Generative SToRM (Gen-SToRM) Model	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Stanley J. Kruger Mathews Jacob
+	Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR	2021	Aniket Pramanik Mathews Jacob
+	Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator.	2021	Hemant Kumar Aggarwal Mathews Jacob
+	Alignment & joint recovery of multi-slice dynamic MRI using deep generative manifold model	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Stanley J. Kruger Mathews Jacob
+	Generative SToRM: A novel approach for joint alignment and recovery of multi-slice dynamic MRI.	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Sarv Priya Rolf F. Schulte Mathews Jacob
+	Deep Generative SToRM model for dynamic imaging	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Stanley J. Kruger Mathews Jacob
+	Dynamic imaging using a deep generative SToRM (Gen-SToRM) model	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Stanley J. Kruger Mathews Jacob
+	Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks	2021	Qing Zou Mathews Jacob
+	Dynamic Imaging using Deep Bi-linear Unsupervised Regularization (DEBLUR)	2021	Abdul Haseeb Ahmed Prashant Nagpal Mathews Jacob
+	Improved Model based Deep Learning using Monotone Operator Learning (MOL)	2021	Aniket Pramanik Mathews Jacob
+	Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP	2021	Maneesh John Hemant Kumar Aggarwal Qing Zou Mathews Jacob
+	Joint Calibrationless Reconstruction and Segmentation of Parallel MRI	2021	Aniket Pramanik Xiaodong Wu Mathews Jacob
+	Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR	2021	Aniket Pramanik Mathews Jacob
+	Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator	2021	Hemant Kumar Aggarwal Mathews Jacob
+	Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM)	2021	Qing Zou Luis Alfonso Torres Sean B. Fain Mathews Jacob
+	Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Sarv Priya Rolf F. Schulte Mathews Jacob
+	Variational manifold learning from incomplete data: application to multislice dynamic MRI	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Sarv Priya Rolf F. Schulte Mathews Jacob
+	ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning	2020	Hemant Kumar Aggarwal Aniket Pramanik Mathews Jacob
+	Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)	2020	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+ PDF Chat	Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM	2020	Abdul Haseeb Ahmed Ruixi Zhou Yang Yang Prashant Nagpal Michael Salerno Mathews Jacob
+ PDF Chat	J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction	2020	Hemant Kumar Aggarwal Mathews Jacob
+	Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI	2020	Merry Mani Hemant Kumar Aggarwal Sanjay Ghosh Mathews Jacob
+	Dynamic MRI using deep manifold self-learning	2020	Abdul Haseeb Ahmed Hemant Kumar Aggarwal Prashant Nagpal Mathews Jacob
+	Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL)	2020	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+	Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI	2020	Merry Mani Hemant Kumar Aggarwal Sanjay Ghosh Mathews Jacob
+	Recovery of surfaces and functions in high dimensions: sampling theory and links to neural networks	2020	Qing Zou Mathews Jacob
+ PDF Chat	Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning	2020	Mathews Jacob Merry Mani Jong Chul Ye
+	ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms	2020	Hemant Kumar Aggarwal Aniket Pramanik Mathews Jacob
+	Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI	2020	Merry Mani Hemant Kumar Aggarwal Sanjay Kumar Ghosh Mathews Jacob
+	Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)	2019	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+	Calibrationless Parallel MRI using Model based Deep Learning (C-MODL)	2019	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+ PDF Chat	Sampling of Planar Curves: Theory and Fast Algorithms	2019	Qing Zou Sunrita Poddar Mathews Jacob
+	Dynamic MRI using deep manifold self-learning	2019	Abdul Haseeb Ahmed Hemant Kumar Aggarwal Prashant Nagpal Mathews Jacob
+	Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI	2019	Hemant Kumar Aggarwal Mathews Jacob
+ PDF Chat	MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI	2019	Hemant Kumar Aggarwal Merry Mani Mathews Jacob
+	Clustering of Data With Missing Entries Using Non-Convex Fusion Penalties	2019	Sunrita Poddar Mathews Jacob
+	SMS MUSSELS: A navigator‐free reconstruction for simultaneous multi‐slice‐accelerated multi‐shot diffusion weighted imaging	2019	Merry Mani Mathews Jacob Graeme C. McKinnon Baolian Yang Brian K. Rutt Adam B. Kerr Vincent A. Magnotta
+ PDF Chat	Off-The-Grid Model Based Deep Learning (O-Modl)	2019	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+	SMS MUSSELS: A Navigator-free Reconstruction for Simultaneous MultiSlice Accelerated MultiShot Diffusion Weighted Imaging	2019	Merry Mani Mathews Jacob Graeme C. McKinnon Baolian Yang Brian K. Rutt Adam B. Kerr Vincent A. Magnotta
+	Sampling of surfaces and functions in high dimensional spaces	2019	Qing Zou Mathews Jacob
+	Improved Reconstruction for high-resolution Multi-shot Diffusion Weighted Imaging	2019	Merry Mani Hemant Kumar Aggarwal Vincent A. Magnotta Mathews Jacob
+	Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)	2019	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+	Calibrationless Parallel MRI using Model based Deep Learning (C-MODL)	2019	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+	Dynamic MRI using deep manifold self-learning	2019	Abdul Haseeb Ahmed Hemant Kumar Aggarwal Prashant Nagpal Mathews Jacob
+	SMS MUSSELS: A Navigator-free Reconstruction for Simultaneous MultiSlice Accelerated MultiShot Diffusion Weighted Imaging	2019	Merry Mani Mathews Jacob Graeme C. McKinnon Baolian Yang Brian K. Rutt Adam B. Kerr Vincent A. Magnotta
+	Off-the-grid model based deep learning (O-MODL)	2018	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+	Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS)	2018	Hemant Kumar Aggarwal Merry Mani Mathews Jacob
+	A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery	2018	Yue Hu Xiaohan Liu Mathews Jacob
+	Calibration-Free B0 Correction of EPI Data Using Structured Low Rank Matrix Recovery	2018	Arvind Balachandrasekaran Merry Mani Mathews Jacob
+	Bootstrapping estimates of stability for clusters, observations and model selection	2018	Han Yu Brian E. Chapman Arianna Di Florio Ellen Eischen David Gotz Mathews Jacob Rachael Hageman Blair
+ PDF Chat	MoDL: Model-Based Deep Learning Architecture for Inverse Problems	2018	Hemant Kumar Aggarwal Merry Mani Mathews Jacob
+	Model-based free-breathing cardiac MRI reconstruction using deep learned \& STORM priors: MoDL-STORM	2018	Sampurna Biswas Hemant Kumar Aggarwal Sunrita Poddar Mathews Jacob
+	Calibration-free B0 correction of EPI data using structured low rank matrix recovery	2018	Arvind Balachandrasekaran Merry Mani Mathews Jacob
+	Recovery of Noisy Points on Bandlimited Surfaces: Kernel Methods Re-Explained	2018	Sunrita Poddar Mathews Jacob
+	Adaptive structured low rank algorithm for MR image recovery	2018	Yue Hu Xiaohan Liu Mathews Jacob
+	Clustering of Data with Missing Entries	2018	Sunrita Poddar Mathews Jacob
+	Recovery of point clouds on surfaces: Application to image reconstruction	2018	Sunrita Poddar Mathews Jacob
+	A general algorithm for compensation of trajectory errors: Application to radial imaging	2018	Merry Mani Vincent A. Magnotta Mathews Jacob
+	Free-breathing cardiac MRI using bandlimited manifold modelling.	2018	Sunrita Poddar Yasir Q. Mohsin Deidra Ansah Bijoy Thattaliyath Ravi Ashwath Mathews Jacob
+	A General Algorithm For Compensation Of Trajectory Errors: Application To Radial Imaging	2018	Merry Mani Vincent A. Magnotta Mathews Jacob
+	Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained	2018	Sunrita Poddar Mathews Jacob
+	Recovery of Point Clouds on Surfaces: Application to Image Reconstruction	2018	Sunrita Poddar Mathews Jacob
+	Clustering of Data with Missing Entries	2018	Sunrita Poddar Mathews Jacob
+	Adaptive structured low rank algorithm for MR image recovery	2018	Yue Hu Xiaohan Liu Mathews Jacob
+	A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery	2018	Yue Hu Xiaohan Liu Mathews Jacob
+	Off-the-grid model based deep learning (O-MODL)	2018	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob
+	Model-based free-breathing cardiac MRI reconstruction using deep learned \& STORM priors: MoDL-STORM	2018	Sampurna Biswas Hemant Kumar Aggarwal Sunrita Poddar Mathews Jacob
+	Recovery of Point Clouds on Surfaces: Application to Image Reconstruction	2018	Sunrita Poddar Mathews Jacob
+	A General Algorithm For Compensation Of Trajectory Errors: Application To Radial Imaging	2018	Merry Mani Vincent A. Magnotta Mathews Jacob
+	Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained	2018	Sunrita Poddar Mathews Jacob
+	Free-breathing cardiac MRI using bandlimited manifold modelling	2018	Sunrita Poddar Yasir Q. Mohsin Deidra Ansah Bijoy Thattaliyath Ravi Ashwath Mathews Jacob
+	Calibration-free B0 correction of EPI data using structured low rank matrix recovery	2018	Arvind Balachandrasekaran Merry Mani Mathews Jacob
+	Clustering of Data with Missing Entries	2018	Sunrita Poddar Mathews Jacob
+ PDF Chat	Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples	2017	Greg Ongie Sampurna Biswas Mathews Jacob
+	Clustering of Data with Missing Entries using Non-convex Fusion Penalties	2017	Sunrita Poddar Mathews Jacob
+ PDF Chat	Recovery of Damped Exponentials Using Structured Low Rank Matrix Completion	2017	Arvind Balachandrasekaran Vincent A. Magnotta Mathews Jacob
+	A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery	2017	Greg Ongie Mathews Jacob
+	Recovery of damped exponentials using structured low rank matrix completion	2017	Arvind Balachandrasekaran Vincent A. Magnotta Mathews Jacob
+	Novel structured low-rank algorithm to recover spatially smooth exponential image time series	2017	Arvind Balachandrasekaran Mathews Jacob
+	Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series	2017	Arvind Balachandrasekaran Mathews Jacob
+	Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach	2017	Weiyu Xu Jirong Yi Soura Dasgupta Jian‐Feng Cai Mathews Jacob Myung Cho
+	Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series	2017	Arvind Balachandrasekaran Mathews Jacob
+	Clustering of Data with Missing Entries using Non-convex Fusion Penalties	2017	Sunrita Poddar Mathews Jacob
+	Recovery of damped exponentials using structured low rank matrix completion	2017	Arvind Balachandrasekaran Vincent A. Magnotta Mathews Jacob
+	GIRAF: A Fast Algorithm for Structured Low-Rank Matrix Recovery.	2016	Greg Ongie Mathews Jacob
+	A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery	2016	Greg Ongie Mathews Jacob
+	Structured low-rank recovery of piecewise constant signals with performance guarantees	2016	Greg Ongie Sampurna Biswas Mathews Jacob
+ PDF Chat	The spark of Fourier matrices: Connections to vanishing sums and coprimeness	2016	Hema Kumari Achanta Sampurna Biswas Bhanumati Dasgupta Soura Dasgupta Mathews Jacob Raghuraman Mudumbai
+	Structured low-rank recovery of piecewise constant signals with performance guarantees	2016	Greg Ongie Sampurna Biswas Mathews Jacob
+	Multi-shot multi-channel diffusion data recovery using structured low-rank matrix completion	2016	Merry Mani Mathews Jacob Douglas A.C. Kelley Vincent A. Magnotta
+ PDF Chat	Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples	2016	Greg Ongie Mathews Jacob
+	Multi-shot multi-channel diffusion data recovery using structured low-rank matrix completion	2016	Merry Mani Mathews Jacob Douglas H. Kelley Vincent A. Magnotta
+	Structured low-rank recovery of piecewise constant signals with performance guarantees	2016	Greg Ongie Sampurna Biswas Mathews Jacob
+	A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery	2016	Greg Ongie Mathews Jacob
+	Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples	2015	Greg Ongie Mathews Jacob
+	Spark under 2-D fourier sampling	2015	Sampurna Biswas Soura Dasgupta Mathews Jacob Raghuraman Mudumbai
+ PDF Chat	Recovery of piecewise smooth images from few fourier samples	2015	Greg Ongie Mathews Jacob
+ PDF Chat	Super-resolution MRI using finite rate of innovation curves	2015	Greg Ongie Mathews Jacob
+ PDF Chat	Two step recovery of jointly sparse and low-rank matrices: Theoretical guarantees	2015	Sampurna Biswas Sunrita Poddar Soura Dasgupta Raghuraman Mudumbai Mathews Jacob
+	Recovery of Piecewise Smooth Images from Few Fourier Samples	2015	Greg Ongie Mathews Jacob
+	Super-resolution MRI Using Finite Rate of Innovation Curves	2015	Greg Ongie Mathews Jacob
+	A Preliminary Study on Cleaning up Erroneous Data and Filling in Missing Values in A Medical Record∗∗This work was supported in part by NSF CNS-1239509.	2015	Er‐Wei Bai Hans J. Johnson Weiyu Xu Mathews Jacob
+	Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples	2015	Greg Ongie Mathews Jacob
+	Recovery of Piecewise Smooth Images from Few Fourier Samples	2015	Greg Ongie Mathews Jacob
+	Super-resolution MRI Using Finite Rate of Innovation Curves	2015	Greg Ongie Mathews Jacob
+	Two step recovery of jointly sparse and low-rank matrices: theoretical guarantees	2014	Sampurna Biswas Sunrita Poddar Soura Dasgupta Raghuraman Mudumbai Mathews Jacob
+	Deformation Corrected Compressed Sensing (DC-CS): A Novel Framework for Accelerated Dynamic MRI	2014	Sajan Goud Lingala Edward DiBella Mathews Jacob
+	Coprime conditions for Fourier sampling for sparse recovery	2014	Hema Kumari Achanta Sampurna Biswas Soura Dasgupta Mathews Jacob Bhanumati Dasgupta Raghuraman Mudumbai
+	Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI	2014	Sajan Goud Lingala Edward DiBella Mathews Jacob
+	Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction	2014	Yasir Q. Mohsin Greg Ongie Mathews Jacob
+	Subspace based low rank and joint sparse matrix recovery	2014	Sampurna Biswas Sunrita Poddar Soura Dasgupta Raghuraman Mudumbai Mathews Jacob
+	Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI	2014	Sajan Goud Lingala Edward DiBella Mathews Jacob
+	Two step recovery of jointly sparse and low-rank matrices: theoretical guarantees	2014	Sampurna Biswas Sunrita Poddar Soura Dasgupta Raghuraman Mudumbai Mathews Jacob
+ PDF Chat	A fast majorize minimize algorithm for higher degree total variation regularization	2013	Yue Hu Sathish Ramani Mathews Jacob
+ PDF Chat	Nonlocal Regularization of Inverse Problems: A Unified Variational Framework	2012	Zhili Yang Mathews Jacob
+	A fast &#x00026; accurate non-iterative algorithm for regularized non-Cartesian MRI	2010	Satyananda Kashyap Mathews Jacob
+ PDF Chat	Orthogonal quincunx wavelets with fractional orders	2002	Manuela Feilner Mathews Jacob Michaël Unser

Common Coauthors

Coauthor	Papers Together
Hemant Kumar Aggarwal	30
Aniket Pramanik	26
Qing Zou	21
Sunrita Poddar	21
Merry Mani	19
Greg Ongie	18
Abdul Haseeb Ahmed	17
Prashant Nagpal	16
Vincent A. Magnotta	14
Sampurna Biswas	13
Arvind Balachandrasekaran	9
Soura Dasgupta	9
Raghuraman Mudumbai	7
Sarv Priya	7
R. Jyothi	6
Stanley J. Kruger	6
Rolf F. Schulte	6
Maneesh John	6
Yue Hu	5
Sajan Goud Lingala	4
Graeme C. McKinnon	3
Milan Sonka	3
Sean B. Fain	3
Yasir Q. Mohsin	3
Adam B. Kerr	3
Fahim Zaman	3
Xiaohan Liu	3
Edward DiBella	3
Weiyu Xu	3
Brian K. Rutt	3
Amanda Chang	3
Baolian Yang	2
Samir D. Sharma	2
Saurav Z. K. Sajib	2
Kan Liu	2
Sampada Bhave	2
Ravi Ashwath	2
Hema Kumari Achanta	2
Luis Torres	2
Xiaodong Wu	2
Jian‐Feng Cai	2
Myung Cho	2
Jirong Yi	2
Bhanumati Dasgupta	2
Curtis Corum	2
Xiaodong Wu	2
Bijoy Thattaliyath	2
Sanjay Ghosh	2
James H. Holmes	2
Zhili Yang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples	2016	Greg Ongie Mathews Jacob	25
+ PDF Chat	MoDL: Model-Based Deep Learning Architecture for Inverse Problems	2018	Hemant Kumar Aggarwal Merry Mani Mathews Jacob	23
+	A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery	2017	Greg Ongie Mathews Jacob	19
+	Learning a variational network for reconstruction of accelerated MRI data	2017	Kerstin Hammernik Teresa Klatzer Erich Kobler Michael P. Recht Daniel K. Sodickson Thomas Pock Florian Knöll	15
+ PDF Chat	Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples	2017	Greg Ongie Sampurna Biswas Mathews Jacob	13
+ PDF Chat	Sampling signals with finite rate of innovation	2002	Martin Vetterli Pina Marziliano Thierry Blu	12
+ PDF Chat	Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM	2020	Abdul Haseeb Ahmed Ruixi Zhou Yang Yang Prashant Nagpal Michael Salerno Mathews Jacob	10
+ PDF Chat	${k}$ -Space Deep Learning for Accelerated MRI	2019	Yoseob Han Leonard Sunwoo Jong Chul Ye	10
+	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	9
+ PDF Chat	Towards a Mathematical Theory of Super‐resolution	2013	Emmanuel J. Candès Carlos Fernandez‐Granda	9
+ PDF Chat	Recovery of piecewise smooth images from few fourier samples	2015	Greg Ongie Mathews Jacob	8
+ PDF Chat	Robust Spectral Compressed Sensing via Structured Matrix Completion	2014	Yuxin Chen Yuejie Chi	8
+ PDF Chat	Nonlocal Regularization of Inverse Problems: A Unified Variational Framework	2012	Zhili Yang Mathews Jacob	8
+	Iterative reweighted algorithms for matrix rank minimization	2012	Karthik Mohan Maryam Fazel	8
+ PDF Chat	Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems	2018	Jong Chul Ye Yoseob Han Eunju Cha	7
+ PDF Chat	Super-resolution MRI using finite rate of innovation curves	2015	Greg Ongie Mathews Jacob	7
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	7
+	Algebraic Variety Models for High-Rank Matrix Completion	2017	Greg Ongie Rebecca Willett Robert D. Nowak Laura Balzano	7
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	7
+ PDF Chat	Deep Convolutional Neural Network for Inverse Problems in Imaging	2017	Kyong Hwan Jin Michael T. McCann Emmanuel Froustey Michaël Unser	6
+	Dynamic Imaging Using a Deep Generative SToRM (Gen-SToRM) Model	2021	Qing Zou Abdul Haseeb Ahmed Prashant Nagpal Stanley J. Kruger Mathews Jacob	6
+	Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)	2020	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob	6
+ PDF Chat	Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization	2011	Massimo Fornasier Holger Rauhut Rachel Ward	6
+ PDF Chat	Sampling and reconstruction of signals with finite rate of innovation in the presence of noise	2005	Irena Maravić Martin Vetterli	6
+ PDF Chat	Sampling of Planar Curves: Theory and Fast Algorithms	2019	Qing Zou Sunrita Poddar Mathews Jacob	5
+	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI	2018	Jure Žbontar Florian Knöll Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	5
+	Novel structured low-rank algorithm to recover spatially smooth exponential image time series	2017	Arvind Balachandrasekaran Mathews Jacob	5
+ PDF Chat	Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning	2020	Mathews Jacob Merry Mani Jong Chul Ye	5
+ PDF Chat	Time-Dependent Deep Image Prior for Dynamic MRI	2021	Jaejun Yoo Kyong Hwan Jin Harshit Gupta Jérôme Yerly Matthias Stuber Michaël Unser	5
+	Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation	2016	Jong Chul Ye Jong Min Kim Kyong Hwan Jin Kiryung Lee	5
+	Deep Equilibrium Architectures for Inverse Problems in Imaging	2021	Davis Gilton Greg Ongie Rebecca Willett	5
+ PDF Chat	Off-The-Grid Model Based Deep Learning (O-Modl)	2019	Aniket Pramanik Hemant Kumar Aggarwal Mathews Jacob	5
+	Algebraic Variety Models for High-Rank Matrix Completion	2017	Greg Ongie Rebecca Willett Robert D. Nowak Laura Balzano	4
+ PDF Chat	Recovery of Damped Exponentials Using Structured Low Rank Matrix Completion	2017	Arvind Balachandrasekaran Vincent A. Magnotta Mathews Jacob	4
+	An SVD-free Approach to a Class of Structured Low Rank Matrix Optimization Problems with Application to System Identification	2013	Marco Signoretto Volkan Cevher Johan A. K. Suykens	4
+ PDF Chat	FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging	2021	Jinxi Xiang Yonggui Dong Yunjie Yang	4
+	Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery	2019	Gaurav Shetty Konstantinos Slavakis Abhishek Bose Ukash Nakarmi Gesualdo Scutari Leslie Ying	4
+ PDF Chat	The Little Engine That Could: Regularization by Denoising (RED)	2017	Yaniv Romano Michael Elad Peyman Milanfar	4
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+ PDF Chat	Super-Resolution from Noisy Data	2013	Emmanuel J. Candès Carlos Fernandez‐Granda	3
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+ PDF Chat	Generalized SURE for Exponential Families: Applications to Regularization	2008	Yonina C. Eldar	3
+ PDF Chat	Structured low-rank approximation and its applications	2008	Ivan Markovsky	3
+ PDF Chat	Sparsity and incoherence in compressive sampling	2007	Emmanuel J. Candès Justin Romberg	3
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