Mathews Jacob

Orcid: 0000-0001-6196-3933

According to our database1, Mathews Jacob authored at least 157 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL.
IEEE Trans. Computational Imaging, 2024

Multi-Scale Energy (MuSE) Framework for Inverse Problems in Imaging.
IEEE Trans. Computational Imaging, 2024

Denoising Diffusions in Latent Space for Medical Image Segmentation.
CoRR, 2024

Deep Learning for Accelerated and Robust MRI Reconstruction: a Review.
CoRR, 2024

Surf-CDM: Score-Based Surface Cold-Diffusion Model for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Memory-Efficient Deep End-to-End Posterior Network (Deepen) for Inverse Problems.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms.
IEEE Trans. Medical Imaging, April, 2023

Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees.
IEEE Trans. Computational Imaging, 2023

Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL.
CoRR, 2023

Plug-and-Play Deep Energy Model for Inverse problems.
CoRR, 2023

Motion Compensated Unsupervised Deep Learning for 5D MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deep Generative Model for Joint Cardiac T1 Mapping and Cardiac Cine.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL).
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Fast image recovery using plug-and-play multi-scale energy (MuSE) framework.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI.
IEEE Trans. Medical Imaging, 2022

Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR).
IEEE Trans. Medical Imaging, 2022

Stable and memory-efficient image recovery using monotone operator learning (MOL).
CoRR, 2022

Accelerated Pseudo 3D Dynamic Speech MR Imaging at 3T Using Unsupervised Deep Variational Manifold Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Dynamic Imaging Using Motion-Compensated Smoothness Regularization on Manifolds (MOCO-STORM).
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Joint Alignment and Reconstruction of Multislice Dynamic MRI Using Variational Manifold Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Improved Model Based Deep Learning Using Monotone Operator Learning (Mol).
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Joint Calibrationless Reconstruction and Segmentation of Parallel MRI.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Dynamic Imaging Using a Deep Generative SToRM (Gen-SToRM) Model.
IEEE Trans. Medical Imaging, 2021

Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction".
IEEE Trans. Medical Imaging, 2021

Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks.
SIAM J. Imaging Sci., 2021

Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM).
CoRR, 2021

Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP.
CoRR, 2021

Joint Calibrationless Reconstruction and Segmentation of Parallel MRI.
CoRR, 2021

Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator.
CoRR, 2021

Deep Generative Storm Model for Dynamic Imaging.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Dynamic Imaging Using Deep Bilinear Unsupervised Learning (Deblur).
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR).
IEEE Trans. Medical Imaging, 2020

Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM.
IEEE Trans. Medical Imaging, 2020

MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI.
IEEE Trans. Medical Imaging, 2020

Hyperspectral Image Recovery Using Nonconvex Sparsity and Low-Rank Regularizations.
IEEE Trans. Geosci. Remote. Sens., 2020

Computational MRI: Compressive Sensing and Beyond [From the Guest Editors].
IEEE Signal Process. Mag., 2020

Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning.
IEEE Signal Process. Mag., 2020

J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction.
IEEE J. Sel. Top. Signal Process., 2020

ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning.
CoRR, 2020

Multi-Echo Recovery with Field Inhomogeneity Compensation Using Structured Low-Rank Matrix Completion.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL).
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Dynamic MRI using deep manifold self-learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Sampling of Surfaces and Learning Functions in High Dimensions.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Sampling of Planar Curves: Theory and Fast Algorithms.
IEEE Trans. Signal Process., 2019

Clustering of Data With Missing Entries Using Non-Convex Fusion Penalties.
IEEE Trans. Signal Process., 2019

Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM).
IEEE Trans. Medical Imaging, 2019

A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery.
IEEE Trans. Medical Imaging, 2019

Calibration-Free B0 Correction of EPI Data Using Structured Low Rank Matrix Recovery.
IEEE Trans. Medical Imaging, 2019

MoDL: Model-Based Deep Learning Architecture for Inverse Problems.
IEEE Trans. Medical Imaging, 2019

Manifold Recovery Using Kernel Low-Rank Regularization: Application to Dynamic Imaging.
IEEE Trans. Computational Imaging, 2019

Bootstrapping estimates of stability for clusters, observations and model selection.
Comput. Stat., 2019

Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning.
CoRR, 2019

Off-The-Grid Model Based Deep Learning (O-Modl).
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels).
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples.
IEEE Trans. Signal Process., 2018

Free-breathing cardiac MRI using bandlimited manifold modelling.
CoRR, 2018

Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained.
CoRR, 2018

Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Recovery of point clouds on surfaces: Application to image reconstruction.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Adaptive structured low rank algorithm for MR image recovery.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Denoising and deinterleaving of EPSI data using structured low-rank matrix recovery.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Model based image reconstruction using deep learned priors (MODL).
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Recovery of Noisy Points on Bandlimited Surfaces: Kernel Methods Re-Explained.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Clustering of Data with Missing Entries.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Recovery of Damped Exponentials Using Structured Low Rank Matrix Completion.
IEEE Trans. Medical Imaging, 2017

A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery.
IEEE Trans. Computational Imaging, 2017

Subspace Aware Recovery of Low Rank and Jointly Sparse Signals.
IEEE Trans. Computational Imaging, 2017

The spark of Fourier matrices: Connections to vanishing sums and coprimeness.
Digit. Signal Process., 2017

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
CoRR, 2017

Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples.
CoRR, 2017

Novel structured low-rank algorithm to recover spatially smooth exponential image time series.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM).
IEEE Trans. Medical Imaging, 2016

Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples.
SIAM J. Imaging Sci., 2016

GIRAF: A Fast Algorithm for Structured Low-Rank Matrix Recovery.
CoRR, 2016

A fast algorithm for structured low-rank matrix recovery with applications to undersampled MRI reconstruction.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Compartmentalized low-rank regularization with orthogonality constraints for high-resolution MRSI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Convex clustering and recovery of partially observed data.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Structured low-rank recovery of piecewise constant signals with performance guarantees.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Multiple degree total variation (MDTV) regularization for image restoration.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Accelerated dynamic MRI using structured low rank matrix completion.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Iterative Shrinkage Algorithm for Patch-Smoothness Regularized Medical Image Recovery.
IEEE Trans. Medical Imaging, 2015

Deformation Corrected Compressed Sensing (DC-CS): A Novel Framework for Accelerated Dynamic MRI.
IEEE Trans. Medical Imaging, 2015

Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation.
IEEE Signal Process. Lett., 2015

Recovery of Low Rank and Jointly Sparse Matrices with Two Sampling Matrices.
IEEE Signal Process. Lett., 2015

Recovery of Piecewise Smooth Images from Few Fourier Samples.
CoRR, 2015

Low rank recovery with manifold smoothness prior: Theory and application to accelerated dynamic MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Super-resolution MRI using finite rate of innovation curves.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Two step recovery of jointly sparse and low-rank matrices: Theoretical guarantees.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Accelerated dynamic MRI using self expressiveness prior.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Spark under 2-D fourier sampling.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI.
IEEE Trans. Medical Imaging, 2014

Generalized Higher Degree Total Variation (HDTV) Regularization.
IEEE Trans. Image Process., 2014

Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction.
CoRR, 2014

Subspace based low rank and joint sparse matrix recovery.
CoRR, 2014

Higher degree total variation for 3-D image recovery.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Coprime conditions for Fourier sampling for sparse recovery.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Joint recovery of under sampled signals on a manifold: Application to free breathing cardiac MRI.
Proceedings of the IEEE International Conference on Acoustics, 2014

Accelerated MRI using iterative non-local shrinkage.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A variable splitting based algorithm for fast multi-coil blind compressed sensing MRI reconstruction.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Subspace based low rank & joint sparse matrix recovery.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Blind Compressive Sensing Dynamic MRI.
IEEE Trans. Medical Imaging, 2013

Nonlocal Regularization of Inverse Problems: A Unified Variational Framework.
IEEE Trans. Image Process., 2013

Blind compressed sensing with sparse dictionaries for accelerated dynamic MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

A fast majorize minimize algorithm for higher degree total variation regularization.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
A Fast Majorize-Minimize Algorithm for the Recovery of Sparse and Low-Rank Matrices.
IEEE Trans. Image Process., 2012

Higher Degree Total Variation (HDTV) Regularization for Image Recovery.
IEEE Trans. Image Process., 2012

Robust non-local regularization framework for motion compensated dynamic imaging without explicit motion estimation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Acceleration of high angular and spatial resolution diffusion imaging using compressed sensing.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A blind compressive sensing frame work for accelerated dynamic MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Improved higher degree total variation (HDTV) regularization.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank Structure: k-t SLR.
IEEE Trans. Medical Imaging, 2011

A unified energy minimization framework for nonlocal regularization.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Unified reconstruction and motion estimation in cardiac perfusion MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Accelerated first pass cardiac perfusion MRI using improved k - t SLR.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Image recovery using improved total variation regularization.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A sparse reconstruction algorithm for parallel spiral MR spectroscopic imaging.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors.
IEEE Trans. Medical Imaging, 2010

A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Real-time cardiac MRI using low-rank and sparsity penalties.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Optimized least-square nonuniform fast Fourier transform.
IEEE Trans. Signal Process., 2009

Algebraic Decomposition of Fat and Water in MRI.
IEEE Trans. Medical Imaging, 2009

Efficient Nufft Algorithm for Non-Cartesian MRI Reconstruction.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Reduction of Distortions in MRSI Using a New Signal Model.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Optimized non-uniform fast Fourier transform (NUFFT) for iterative tomographic reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2009

Correction of B0 inhomogeneity distortion in magnetic resonance spectroscopic imaging.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Improved IDQC reconstruction for inhomogeneity corrected MR spectroscopy.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
BSLIM: Spectral Localization by Imaging With Explicit B<sub>0</sub> Field Inhomogeneity Compensation.
IEEE Trans. Medical Imaging, 2007

Improved Model-Based Magnetic Resonance Spectroscopic Imaging.
IEEE Trans. Medical Imaging, 2007

Multichannel Estimation of Coil Sensitivities in Parallel Mri.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Non-Iterative Dixon Decomposition of Fat and Water.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
3-D shape estimation of DNA molecules from stereo cryo-electron micro-graphs using a projection-steerable snake.
IEEE Trans. Image Process., 2006

Improved MRSI with field inhomogeneity compensation.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Reconstruction of functional activations in diffuse optical imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

On model-based MR spectroscopic imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Three-dimensional feature detection using optimal steerable filters.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Efficient energies and algorithms for parametric snakes.
IEEE Trans. Image Process., 2004

Design of Steerable Filters for Feature Detection Using Canny-Like Criteria.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Neurite Tracing in Fluorescence Microscopy Images using Ridge Filtering and Graph Searching: Principles and Validation.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Shape estimation of 3-D DNA molecules from stereo cryo-electron micro-graphs.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
A Novel Approach to Neurite Tracing in Fluorescence Microscopy Images.
Proceedings of the Signal and Image Processing (SIP 2003), 2003

Optimal steerable filters for feature detection.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Sampling of periodic signals: a quantitative error analysis.
IEEE Trans. Signal Process., 2002

3-D reconstruction of DNA filaments from stereo cryo-electron micrographs.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
An Exact Method for Computing the Area Moments of Wavelet and Spline Curves.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Unifying approach and interface for spline-based snakes.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Orthogonal quincunx wavelets with fractional orders.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Exact Computation of Area Moments for Spline and Wavelet Curves.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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