Exact Computation of Area Moments for Spline and Wavelet Curves. - Mathews Jacob; Thierry Blu; Michael Unser (ICPR, 2000)

Orthogonal quincunx wavelets with fractional orders. - Manuela Feilner; Mathews Jacob; Michael Unser (ICIP (1), 2001)

Unifying approach and interface for spline-based snakes. - Mathews Jacob; Thierry Blu; Michael A. Unser (Image Processing, 2001)

An Exact Method for Computing the Area Moments of Wavelet and Spline Curves. - Mathews Jacob; Thierry Blu; Michael Unser (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

3-D reconstruction of DNA filaments from stereo cryo-electron micrographs. - Mathews Jacob; Thierry Blu; Michael Unser (ISBI, 2002)

Sampling of periodic signals: a quantitative error analysis. - Mathews Jacob; Thierry Blu; Michael Unser (IEEE Trans. Signal Process., 2002)

Optimal steerable filters for feature detection. - Mathews Jacob; Michael Unser (ICIP (3), 2003)

A Novel Approach to Neurite Tracing in Fluorescence Microscopy Images. - Erik Meijering; Mathews Jacob; J.-C. Floyd Sarria; Michael Unser (SIP, 2003)

Shape estimation of 3-D DNA molecules from stereo cryo-electron micro-graphs. - Mathews Jacob; Thierry Blu; Michael Unser (ICIP, 2004)

Neurite Tracing in Fluorescence Microscopy Images using Ridge Filtering and Graph Searching: Principles and Validation. - Erik Meijering; Mathews Jacob; J.-C. Floyd Sarria; Pascal Steiner; Harald Hirling; Michael Unser (ISBI, 2004)

Design of Steerable Filters for Feature Detection Using Canny-Like Criteria. - Mathews Jacob; Michael Unser (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Efficient energies and algorithms for parametric snakes. - Mathews Jacob; Thierry Blu; Michael Unser (IEEE Trans. Image Process., 2004)

Three-dimensional feature detection using optimal steerable filters. - François Aguet; Mathews Jacob; Michael Unser (ICIP (2), 2005)

Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior. - Justin P. Haldar; Mathews Jacob; Andreas Ebel; Xiaoping Zhu; Norbert Schuff; Diego Hernando; Bradley P. Sutton; Zhi-Pei Liang (ISBI, 2006)

On model-based MR spectroscopic imaging. - Mathews Jacob; Bradley P. Sutton; Justin P. Haldar; Zhi-Pei Liang (ISBI, 2006)

Reconstruction of functional activations in diffuse optical imaging. - Mathews Jacob; Vlad Toronov; Yoram Bresler; Xiaofeng Zhang 001; Andrew G. Webb (ISBI, 2006)

Improved MRSI with field inhomogeneity compensation. - Ildar Khalidov; Dimitri Van De Ville; Mathews Jacob; François Lazeyras; Michael Unser (Image Processing, 2006)

3-D shape estimation of DNA molecules from stereo cryo-electron micro-graphs using a projection-steerable snake. - Mathews Jacob; Thierry Blu; C. Vaillant; J. H. Maddocks; Michael Unser (IEEE Trans. Image Process., 2006)

Non-Iterative Dixon Decomposition of Fat and Water. - Mathews Jacob; Bradley P. Sutton (ISBI, 2007)

Multichannel Estimation of Coil Sensitivities in Parallel Mri. - Robert L. Morrison Jr.; Mathews Jacob; Minh N. Do (ISBI, 2007)

Improved Model-Based Magnetic Resonance Spectroscopic Imaging. - Mathews Jacob; Xiaoping Zhu; Andreas Ebel; Norbert Schuff; Zhi-Pei Liang (IEEE Trans. Medical Imaging, 2007)

BSLIM: Spectral Localization by Imaging With Explicit B0 Field Inhomogeneity Compensation. - Ildar Khalidov; Dimitri Van De Ville; Mathews Jacob; François Lazeyras; Michael Unser (IEEE Trans. Medical Imaging, 2007)

Improved IDQC reconstruction for inhomogeneity corrected MR spectroscopy. - Rohini Shankar; Tianliang Gu; Jianhui Zhong; Mathews Jacob (ISBI, 2008)

Correction of B0 inhomogeneity distortion in magnetic resonance spectroscopic imaging. - Ramin Eslami; Mathews Jacob (ICASSP, 2009)

Optimized non-uniform fast Fourier transform (NUFFT) for iterative tomographic reconstruction. - Mathews Jacob (ICASSP, 2009)

Reduction of Distortions in MRSI Using a New Signal Model. - Ramin Eslami; Mathews Jacob (ISBI, 2009)

Efficient Nufft Algorithm for Non-Cartesian MRI Reconstruction. - Zhili Yang; Mathews Jacob (ISBI, 2009)

Algebraic Decomposition of Fat and Water in MRI. - Mathews Jacob; Bradley P. Sutton (IEEE Trans. Medical Imaging, 2009)

Optimized least-square nonuniform fast Fourier transform. - Mathews Jacob (IEEE Trans. Signal Process., 2009)

Real-time cardiac MRI using low-rank and sparsity penalties. - Sajan Goud; Yue Hu 003; Mathews Jacob (ISBI, 2010)

A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI. - Satyananda Kashyap; Mathews Jacob (ISBI, 2010)

Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors. - Ramin Eslami; Mathews Jacob (IEEE Trans. Medical Imaging, 2010)

A sparse reconstruction algorithm for parallel spiral MR spectroscopic imaging. - Ramin Eslami; Mathews Jacob (ISBI, 2011)

Image recovery using improved total variation regularization. - Yue Hu 003; Mathews Jacob (ISBI, 2011)

Accelerated first pass cardiac perfusion MRI using improved k - t SLR. - Sajan Goud Lingala; Yue Hu 003; Edward V. R. Di Bella; Mathews Jacob (ISBI, 2011)

Unified reconstruction and motion estimation in cardiac perfusion MRI. - Sajan Goud Lingala; Mariappan S. Nadar; Christophe Chefd'Hotel; Li Zhang 024; Mathews Jacob (ISBI, 2011)

A unified energy minimization framework for nonlocal regularization. - Zhili Yang; Mathews Jacob (ISBI, 2011)

Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank Structure: k-t SLR. - Sajan Goud Lingala; Yue Hu 003; Edward V. R. Di Bella; Mathews Jacob (IEEE Trans. Medical Imaging, 2011)

Improved higher degree total variation (HDTV) regularization. - Yue Hu 003; Mathews Jacob (ISBI, 2012)

A blind compressive sensing frame work for accelerated dynamic MRI. - Sajan Goud Lingala; Mathews Jacob (ISBI, 2012)

Acceleration of high angular and spatial resolution diffusion imaging using compressed sensing. - Merry Mani; Mathews Jacob; Arnaud Guidon; Chunlei Liu 004; Allen W. Song; Vincent Magnotta; Jianhui Zhong (ISBI, 2012)

Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI. - Merry Mani; Mathews Jacob; Arnaud Guidon; Vincent Magnotta; Jianhui Zhong (ISBI, 2012)

Robust non-local regularization framework for motion compensated dynamic imaging without explicit motion estimation. - Zhili Yang; Mathews Jacob (ISBI, 2012)

Higher Degree Total Variation (HDTV) Regularization for Image Recovery. - Yue Hu 003; Mathews Jacob (IEEE Trans. Image Process., 2012)

A Fast Majorize-Minimize Algorithm for the Recovery of Sparse and Low-Rank Matrices. - Yue Hu 003; Sajan Goud Lingala; Mathews Jacob (IEEE Trans. Image Process., 2012)

A fast majorize minimize algorithm for higher degree total variation regularization. - Yue Hu 003; Sathish Ramani; Mathews Jacob (ISBI, 2013)

Blind compressed sensing with sparse dictionaries for accelerated dynamic MRI. - Sajan Goud Lingala; Mathews Jacob (ISBI, 2013)

Nonlocal Regularization of Inverse Problems: A Unified Variational Framework. - Zhili Yang; Mathews Jacob (IEEE Trans. Image Process., 2013)

Blind Compressive Sensing Dynamic MRI. - Sajan Goud Lingala; Mathews Jacob (IEEE Trans. Medical Imaging, 2013)

Subspace based low rank & joint sparse matrix recovery. - Sampurna Biswas; Sunrita Poddar; Soura Dasgupta; Raghuraman Mudumbai; Mathews Jacob (ACSSC, 2014)

A variable splitting based algorithm for fast multi-coil blind compressed sensing MRI reconstruction. - Sampada Bhave; Sajan Goud Lingala; Mathews Jacob (EMBC, 2014)

Accelerated MRI using iterative non-local shrinkage. - Yasir Q. Mohsin; Gregory Ongie; Mathews Jacob (EMBC, 2014)

Joint recovery of under sampled signals on a manifold: Application to free breathing cardiac MRI. - Sunrita Poddar; Sajan Goud Lingala; Mathews Jacob (ICASSP, 2014)

Coprime conditions for Fourier sampling for sparse recovery. - Hema Kumari Achanta; Sampurna Biswas; Soura Dasgupta; Mathews Jacob; Bhanumati N. Dasgupta; Raghuraman Mudumbai (SAM, 2014)

Higher degree total variation for 3-D image recovery. - Greg Ongie; Yue Hu 003; Mathews Jacob (ISBI, 2014)

Subspace based low rank and joint sparse matrix recovery. - Sampurna Biswas; Sunrita Poddar; Soura Dasgupta; Raghuraman Mudumbai; Mathews Jacob (CoRR, 2014)

Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction. - Yasir Q. Mohsin; Greg Ongie; Mathews Jacob (CoRR, 2014)

Generalized Higher Degree Total Variation (HDTV) Regularization. - Yue Hu 003; Greg Ongie; Sathish Ramani; Mathews Jacob (IEEE Trans. Image Process., 2014)

Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI. - Alessandro Daducci; Erick Jorge Canales-Rodríguez; Maxime Descoteaux; Eleftherios Garyfallidis; Yaniv Gur; Ying-Chia Lin; Merry Mani; Sylvain Merlet; Michael Paquette; Alonso Ramirez-Manzanares; Marco Reisert; Paulo Reis Rodrigues; et al. (IEEE Trans. Medical Imaging, 2014)

Spark under 2-D fourier sampling. - Sampurna Biswas; Soura Dasgupta; Mathews Jacob; Raghuraman Mudumbai (EUSIPCO, 2015)

Accelerated dynamic MRI using self expressiveness prior. - Arvind Balachandrasekaran; Mathews Jacob (ISBI, 2015)

Two step recovery of jointly sparse and low-rank matrices: Theoretical guarantees. - Sampurna Biswas; Sunrita Poddar; Soura Dasgupta; Raghuraman Mudumbai; Mathews Jacob (ISBI, 2015)

Super-resolution MRI using finite rate of innovation curves. - Greg Ongie; Mathews Jacob (ISBI, 2015)

Low rank recovery with manifold smoothness prior: Theory and application to accelerated dynamic MRI. - Sunrita Poddar; Mathews Jacob (ISBI, 2015)

Recovery of Piecewise Smooth Images from Few Fourier Samples. - Greg Ongie; Mathews Jacob (CoRR, 2015)

Recovery of Low Rank and Jointly Sparse Matrices with Two Sampling Matrices. - Sampurna Biswas; Hema Kumari Achanta; Mathews Jacob; Soura Dasgupta; Raghuraman Mudumbai (IEEE Signal Process. Lett., 2015)

Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation. - Greg Ongie; Mathews Jacob (IEEE Signal Process. Lett., 2015)

Deformation Corrected Compressed Sensing (DC-CS): A Novel Framework for Accelerated Dynamic MRI. - Sajan Goud Lingala; Edward DiBella; Mathews Jacob (IEEE Trans. Medical Imaging, 2015)

Iterative Shrinkage Algorithm for Patch-Smoothness Regularized Medical Image Recovery. - Yasir Q. Mohsin; Gregory Ongie; Mathews Jacob (IEEE Trans. Medical Imaging, 2015)

Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels. - Merry Mani; Vincent Magnotta; Douglas Kelley; Mathews Jacob (EMBC, 2016)

Accelerated dynamic MRI using structured low rank matrix completion. - Arvind Balachandrasekaran; Greg Ongie; Mathews Jacob (ICIP, 2016)

Multiple degree total variation (MDTV) regularization for image restoration. - Yue Hu 003; Xin Lu 001; Mathews Jacob (ICIP, 2016)

Structured low-rank recovery of piecewise constant signals with performance guarantees. - Greg Ongie; Sampurna Biswas; Mathews Jacob (ICIP, 2016)

Convex clustering and recovery of partially observed data. - Sunrita Poddar; Mathews Jacob (ICIP, 2016)

Compartmentalized low-rank regularization with orthogonality constraints for high-resolution MRSI. - Ipshita Bhattacharya; Mathews Jacob (ISBI, 2016)

A fast algorithm for structured low-rank matrix recovery with applications to undersampled MRI reconstruction. - Greg Ongie; Mathews Jacob (ISBI, 2016)

GIRAF: A Fast Algorithm for Structured Low-Rank Matrix Recovery. - Greg Ongie; Mathews Jacob (CoRR, 2016)

Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples. - Greg Ongie; Mathews Jacob (SIAM J. Imaging Sci., 2016)

Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM). - Sunrita Poddar; Mathews Jacob (IEEE Trans. Medical Imaging, 2016)

Novel structured low-rank algorithm to recover spatially smooth exponential image time series. - Arvind Balachandrasekaran; Mathews Jacob (ISBI, 2017)

Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples. - Greg Ongie; Sampurna Biswas; Mathews Jacob (CoRR, 2017)

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. - Weiyu Xu; Jirong Yi; Soura Dasgupta; Jian-Feng Cai 001; Mathews Jacob; Myung Cho (CoRR, 2017)

The spark of Fourier matrices: Connections to vanishing sums and coprimeness. - Hema Kumari Achanta; Sampurna Biswas; Bhanumati N. Dasgupta; Soura Dasgupta; Mathews Jacob; Raghuraman Mudumbai (Digit. Signal Process., 2017)

Subspace Aware Recovery of Low Rank and Jointly Sparse Signals. - Sampurna Biswas; Soura Dasgupta; Raghuraman Mudumbai; Mathews Jacob (IEEE Trans. Computational Imaging, 2017)

A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery. - Gregory Ongie; Mathews Jacob (IEEE Trans. Computational Imaging, 2017)

Recovery of Damped Exponentials Using Structured Low Rank Matrix Completion. - Arvind Balachandrasekaran; Vincent Magnotta; Mathews Jacob (IEEE Trans. Medical Imaging, 2017)

Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM. - Sampurna Biswas; Hemant Kumar Aggarwal; Sunrita Poddar; Mathews Jacob (ICASSP, 2018)

Clustering of Data with Missing Entries. - Sunrita Poddar; Mathews Jacob (ICASSP, 2018)

Recovery of Noisy Points on Bandlimited Surfaces: Kernel Methods Re-Explained. - Sunrita Poddar; Mathews Jacob (ICASSP, 2018)

Model based image reconstruction using deep learned priors (MODL). - Hemant Kumar Aggarwal; Merry P. Mani; Mathews Jacob (ISBI, 2018)

Denoising and deinterleaving of EPSI data using structured low-rank matrix recovery. - Ipshita Bhattacharya; Mathews Jacob (ISBI, 2018)

Adaptive structured low rank algorithm for MR image recovery. - Yue Hu 003; Xiaohan Liu; Mathews Jacob (ISBI, 2018)

Recovery of point clouds on surfaces: Application to image reconstruction. - Sunrita Poddar; Mathews Jacob (ISBI, 2018)

Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. - Weiyu Xu; Jirong Yi; Soura Dasgupta; Jian-Feng Cai 001; Mathews Jacob; Myung Cho (ISIT, 2018)

Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained. - Sunrita Poddar; Mathews Jacob (CoRR, 2018)

Free-breathing cardiac MRI using bandlimited manifold modelling. - Sunrita Poddar; Yasir Q. Mohsin; Deidra Ansah; Bijoy Thattaliyath; Ravi Ashwath; Mathews Jacob (CoRR, 2018)

Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples. - Greg Ongie; Sampurna Biswas; Mathews Jacob (IEEE Trans. Signal Process., 2018)

Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). - Hemant Kumar Aggarwal; Merry P. Mani; Mathews Jacob (ISBI, 2019)

Off-The-Grid Model Based Deep Learning (O-Modl). - Aniket Pramanik; Hemant Kumar Aggarwal; Mathews Jacob (ISBI, 2019)

Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning. - Mathews Jacob; Merry P. Mani; Jong Chul Ye (CoRR, 2019)

Bootstrapping estimates of stability for clusters, observations and model selection. - Han Yu 007; Brian E. Chapman; Arianna Di Florio; Ellen Eischen; David Gotz; Mathews Jacob; Rachael Hageman Blair (Comput. Stat., 2019)

Manifold Recovery Using Kernel Low-Rank Regularization: Application to Dynamic Imaging. - Sunrita Poddar; Yasir Q. Mohsin; Deidra Ansah; Bijoy Thattaliyath; Ravi Ashwath; Mathews Jacob (IEEE Trans. Computational Imaging, 2019)

MoDL: Model-Based Deep Learning Architecture for Inverse Problems. - Hemant Kumar Aggarwal; Merry P. Mani; Mathews Jacob (IEEE Trans. Medical Imaging, 2019)

Calibration-Free B0 Correction of EPI Data Using Structured Low Rank Matrix Recovery. - Arvind Balachandrasekaran; Merry Mani; Mathews Jacob (IEEE Trans. Medical Imaging, 2019)

A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery. - Yue Hu 003; Xiaohan Liu; Mathews Jacob (IEEE Trans. Medical Imaging, 2019)

Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM). - Yasir Q. Mohsin; Sunrita Poddar; Mathews Jacob (IEEE Trans. Medical Imaging, 2019)

Clustering of Data With Missing Entries Using Non-Convex Fusion Penalties. - Sunrita Poddar; Mathews Jacob (IEEE Trans. Signal Process., 2019)

Sampling of Planar Curves: Theory and Fast Algorithms. - Qing Zou; Sunrita Poddar; Mathews Jacob (IEEE Trans. Signal Process., 2019)

Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. - Hemant Kumar Aggarwal; Mathews Jacob (ICASSP, 2020)

Sampling of Surfaces and Learning Functions in High Dimensions. - Qing Zou; Mathews Jacob (ICASSP, 2020)

Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. - Hemant Kumar Aggarwal; Mathews Jacob (ISBI, 2020)

Dynamic MRI using deep manifold self-learning. - Abdul Haseeb Ahmed; Hemant Aggarwal; Prashant Nagpal; Mathews Jacob (ISBI, 2020)

Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI. - Merry P. Mani; Hemant Kumar Aggarwal; Sanjay Ghosh; Mathews Jacob (ISBI, 2020)

Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). - Aniket Pramanik; Hemant Kumar Aggarwal; Mathews Jacob (ISBI, 2020)

Multi-Echo Recovery with Field Inhomogeneity Compensation Using Structured Low-Rank Matrix Completion. - Stephen Siemonsma; Stanley Kruger; Arvind Balachandrasekaran; Merry Mani; Mathews Jacob (ISBI, 2020)

ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. - Hemant Kumar Aggarwal; Mathews Jacob (CoRR, 2020)

J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction. - Hemant Kumar Aggarwal; Mathews Jacob (IEEE J. Sel. Top. Signal Process., 2020)

Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning. - Mathews Jacob; Merry P. Mani; Jong Chul Ye (IEEE Signal Process. Mag., 2020)

Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. - Mathews Jacob; Jong Chul Ye; Leslie Ying; Mariya Doneva (IEEE Signal Process. Mag., 2020)

Hyperspectral Image Recovery Using Nonconvex Sparsity and Low-Rank Regularizations. - Yue Hu 003; Xiaodi Li 003; Yanfeng Gu; Mathews Jacob (IEEE Trans. Geosci. Remote. Sens., 2020)

MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI. - Hemant Kumar Aggarwal; Merry P. Mani; Mathews Jacob (IEEE Trans. Medical Imaging, 2020)

Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM. - Abdul Haseeb Ahmed; Ruixi Zhou; Yang Yang 110; Prashant Nagpal; Michael Salerno; Mathews Jacob (IEEE Trans. Medical Imaging, 2020)

Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). - Aniket Pramanik; Hemant Kumar Aggarwal; Mathews Jacob (IEEE Trans. Medical Imaging, 2020)

Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. - Hemant Kumar Aggarwal; Aniket Pramanik; Mathews Jacob (ICASSP, 2021)

Dynamic Imaging Using Deep Bilinear Unsupervised Learning (Deblur). - Abdul Haseeb Ahmed; Prashant Nagpal; Stanley Kruger; Mathews Jacob (ISBI, 2021)

Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR. - Aniket Pramanik; Mathews Jacob (ISBI, 2021)

Deep Generative Storm Model for Dynamic Imaging. - Qing Zou; Abdul Haseeb Ahmed; Prashant Nagpal; Stanley Kruger; Mathews Jacob (ISBI, 2021)

Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. - Hemant Kumar Aggarwal; Mathews Jacob (CoRR, 2021)

Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. - Aniket Pramanik; Xiaodong Wu 001; Mathews Jacob (CoRR, 2021)

Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP. - Maneesh John; Hemant Kumar Aggarwal; Qing Zou; Mathews Jacob (CoRR, 2021)

Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM). - Qing Zou; Luis A. Torres; Sean B. Fain; Nara S. Higano; Alister J. Bates; Mathews Jacob (CoRR, 2021)

Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks. - Qing Zou; Mathews Jacob (SIAM J. Imaging Sci., 2021)

Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction". - Ge Wang 001; Mathews Jacob; Xuanqin Mou; Yongyi Shi; Yonina C. Eldar (IEEE Trans. Medical Imaging, 2021)

Dynamic Imaging Using a Deep Generative SToRM (Gen-SToRM) Model. - Qing Zou; Abdul Haseeb Ahmed; Prashant Nagpal; Stanley Kruger; Mathews Jacob (IEEE Trans. Medical Imaging, 2021)

Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. - Aniket Pramanik; Mathews Jacob (ECCV Workshops (3), 2022)

Improved Model Based Deep Learning Using Monotone Operator Learning (Mol). - Aniket Pramanik; Mathews Jacob (ISBI, 2022)

Joint Alignment and Reconstruction of Multislice Dynamic MRI Using Variational Manifold Learning. - Qing Zou; Abdul Haseeb Ahmed; Prashant Nagpal; Sarv Priya; Rolf F. Schulte; Mathews Jacob (ISBI, 2022)

Dynamic Imaging Using Motion-Compensated Smoothness Regularization on Manifolds (MOCO-STORM). - Qing Zou; Luis A. Torres; Sean B. Fain; Mathews Jacob (ISBI, 2022)

Accelerated Pseudo 3D Dynamic Speech MR Imaging at 3T Using Unsupervised Deep Variational Manifold Learning. - Rushdi Zahid Rusho; Qing Zou; Wahidul Alam; Subin Erattakulangara; Mathews Jacob; Sajan Goud Lingala (MICCAI (6), 2022)

Stable and memory-efficient image recovery using monotone operator learning (MOL). - Aniket Pramanik; Mathews Jacob (CoRR, 2022)

Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR). - Abdul Haseeb Ahmed; Qing Zou; Prashant Nagpal; Mathews Jacob (IEEE Trans. Medical Imaging, 2022)

Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI. - Qing Zou; Abdul Haseeb Ahmed; Prashant Nagpal; Sarv Priya; Rolf F. Schulte; Mathews Jacob (IEEE Trans. Medical Imaging, 2022)

Fast image recovery using plug-and-play multi-scale energy (MuSE) framework. - Jyothi Rikhab Chand; Mathews Jacob (ACSSC, 2023)

Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI. - Yan Chen; James H. Holmes; Curtis Corum; Vincent Magnotta; Mathews Jacob (ISBI, 2023)

Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL). - Aniket Pramanik; Mathews Jacob (ISBI, 2023)

Deep Generative Model for Joint Cardiac T1 Mapping and Cardiac Cine. - Qing Zou; Sarv Priya; Prashant Nagpal; Mathews Jacob (ISBI, 2023)

Motion Compensated Unsupervised Deep Learning for 5D MRI. - Joseph Kettelkamp; Ludovica Romanin; Davide Piccini; Sarv Priya; Mathews Jacob (MICCAI (10), 2023)

Plug-and-Play Deep Energy Model for Inverse problems. - Jyothi Rikabh Chand; Mathews Jacob (CoRR, 2023)

Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL. - Aniket Pramanik; Sampada Bhave; Saurav Sajib; Samir D. Sharma; Mathews Jacob (CoRR, 2023)

Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees. - Aniket Pramanik; M. Bridget Zimmerman; Mathews Jacob (IEEE Trans. Computational Imaging, 2023)

ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms. - Hemant Kumar Aggarwal; Aniket Pramanik; Maneesh John; Mathews Jacob (IEEE Trans. Medical Imaging, 2023)

Memory-Efficient Deep End-to-End Posterior Network (Deepen) for Inverse Problems. - Jyothi Rikhab Chand; Mathews Jacob (ISBI, 2024)

Surf-CDM: Score-Based Surface Cold-Diffusion Model for Medical Image Segmentation. - Fahim Ahmed Zaman; Mathews Jacob; Amanda Chang; Kan Liu 003; Milan Sonka; Xiaodong Wu 001 (ISBI, 2024)

Deep Learning for Accelerated and Robust MRI Reconstruction: a Review. - Reinhard Heckel; Mathews Jacob; Akshay Chaudhari; Or Perlman; Efrat Shimron (CoRR, 2024)

Denoising Diffusions in Latent Space for Medical Image Segmentation. - Fahim Ahmed Zaman; Mathews Jacob; Amanda Chang; Kan Liu 003; Milan Sonka; Xiaodong Wu 001 (CoRR, 2024)

Multi-Scale Energy (MuSE) Framework for Inverse Problems in Imaging. - Jyothi Rikhab Chand; Mathews Jacob (IEEE Trans. Computational Imaging, 2024)

Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL. - Maneesh John; Jyothi Rikhab Chand; Mathews Jacob (IEEE Trans. Computational Imaging, 2024)

MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model. - Jyothi Rikhab Chand; Mathews Jacob (ICASSP, 2025)

Accelerating Quantitative MRI Using Subspace Multiscale Energy Model (SS-MuSE). - Yan Chen; Jyothi Rikhab Chand; Steve R. Kecskemeti; James H. Holmes; Mathews Jacob (ISBI, 2025)

Three-Dimensional Diffusion-Weighted Multi-Slab MRI with Slice Profile Compensation Using Deep Energy Model. - Reza Ghorbani; Jyothi Rikhab Chand; Chu-Yu Lee; Mathews Jacob; Merry Mani (ISBI, 2025)

Fast Multi-Contrast MRI Using Joint Multiscale Energy Model. - Nima Yaghoobi; Jyothi Rikhab Chand; Yan Chen; Steve R. Kecskemeti; James H. Holmes; Mathews Jacob (ISBI, 2025)

Deep End-to-End Posterior ENergy (DEEPEN) for image recovery. - Jyothi Rikhab Chand; Mathews Jacob (CoRR, 2025)

Motion-compensated cardiac MRI using low-rank diffeomorphic flow (DMoCo). - Joseph Kettelkamp; Ludovica Romanin; Sarv Priya; Mathews Jacob (CoRR, 2025)