Mathews Jacob

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 108

Top Venues

CoRR

ISBI

IEEE Trans. Medical Imaging

ICASSP

Publications

Maneesh John, Jyothi Rikhab Chand, Mathews Jacob
Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL. IEEE Trans. Computational Imaging 10 (2024)
Reinhard Heckel, Mathews Jacob, Akshay Chaudhari, Or Perlman, Efrat Shimron
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review. CoRR (2024)
Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu
Denoising Diffusions in Latent Space for Medical Image Segmentation. CoRR (2024)
Jyothi Rikhab Chand, Mathews Jacob
Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems. CoRR (2024)
Aniket Pramanik, M. Bridget Zimmerman, Mathews Jacob
Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees. IEEE Trans. Computational Imaging 9 (2023)
Maneesh John, Jyothi Rikhab Chand, Mathews Jacob
Local monotone operator learning using non-monotone operators: MnM-MOL. CoRR (2023)
Jyothi Rikabh Chand, Mathews Jacob
Plug-and-Play Deep Energy Model for Inverse problems. CoRR (2023)
Aniket Pramanik, Mathews Jacob
Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL). ISBI (2023)
Jyothi Rikhab Chand, Mathews Jacob
Fast image recovery using plug-and-play multi-scale energy (MuSE) framework. ACSSC (2023)
Qing Zou, Sarv Priya, Prashant Nagpal, Mathews Jacob
Deep Generative Model for Joint Cardiac T1 Mapping and Cardiac Cine. ISBI (2023)
Yan Chen, James H. Holmes, Curtis Corum, Vincent Magnotta, Mathews Jacob
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI. ISBI (2023)
Joseph Kettelkamp, Ludovica Romanin, Davide Piccini, Sarv Priya, Mathews Jacob
Motion Compensated Unsupervised Deep Learning for 5D MRI. MICCAI (10) (2023)
Yan Chen, James H. Holmes, Curtis Corum, Vincent Magnotta, Mathews Jacob
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI. CoRR (2023)
Hemant Kumar Aggarwal, Aniket Pramanik, Maneesh John, Mathews Jacob
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms. IEEE Trans. Medical Imaging 42 (4) (2023)
Aniket Pramanik, Mathews Jacob
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL). CoRR (2023)
Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation. CoRR (2023)
Aniket Pramanik, Sampada Bhave, Saurav Sajib, Samir D. Sharma, Mathews Jacob
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL. CoRR (2023)
Aniket Pramanik, Mathews Jacob
Improved Model Based Deep Learning Using Monotone Operator Learning (Mol). ISBI (2022)
Abdul Haseeb Ahmed, Qing Zou, Prashant Nagpal, Mathews Jacob
Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR). IEEE Trans. Medical Imaging 41 (10) (2022)
Aniket Pramanik, Mathews Jacob
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. ECCV Workshops (3) (2022)
Rushdi Zahid Rusho, Qing Zou, Wahidul Alam, Subin Erattakulangara, Mathews Jacob, Sajan Goud Lingala
Accelerated Pseudo 3D Dynamic Speech MR Imaging at 3T Using Unsupervised Deep Variational Manifold Learning. MICCAI (6) (2022)
Qing Zou, Luis A. Torres, Sean B. Fain, Mathews Jacob
Dynamic Imaging Using Motion-Compensated Smoothness Regularization on Manifolds (MOCO-STORM). ISBI (2022)
Aniket Pramanik, Mathews Jacob
Stable and memory-efficient image recovery using monotone operator learning (MOL). CoRR (2022)
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. IEEE Trans. Medical Imaging 41 (12) (2022)
Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Sarv Priya, Rolf F. Schulte, Mathews Jacob
Joint Alignment and Reconstruction of Multislice Dynamic MRI Using Variational Manifold Learning. ISBI (2022)
Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob
Dynamic Imaging Using a Deep Generative SToRM (Gen-SToRM) Model. IEEE Trans. Medical Imaging 40 (11) (2021)
Aniket Pramanik, Mathews Jacob
Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR. CoRR (2021)
Hemant Kumar Aggarwal, Mathews Jacob
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. CoRR (2021)
Aniket Pramanik, Mathews Jacob
Improved Model based Deep Learning using Monotone Operator Learning (MOL). CoRR (2021)
Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob
Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. ICASSP (2021)
Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob
Dynamic Imaging Using Deep Bilinear Unsupervised Learning (Deblur). ISBI (2021)
Qing Zou, Mathews Jacob
Recovery of Surfaces and Functions in High Dimensions: Sampling Theory and Links to Neural Networks. SIAM J. Imaging Sci. 14 (2) (2021)
Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Sarv Priya, Rolf F. Schulte, Mathews Jacob
Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning. CoRR (2021)
Aniket Pramanik, Xiaodong Wu, Mathews Jacob
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. CoRR (2021)
Maneesh John, Hemant Kumar Aggarwal, Qing Zou, Mathews Jacob
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP. CoRR (2021)
Aniket Pramanik, Mathews Jacob
Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR. ISBI (2021)
Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob
Deep Generative Storm Model for Dynamic Imaging. ISBI (2021)
Qing Zou, Luis A. Torres, Sean B. Fain, Nara S. Higano, Alister J. Bates, Mathews Jacob
Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM). CoRR (2021)
Qing Zou, Luis A. Torres, Sean B. Fain, Mathews Jacob
Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM). CoRR (2021)
Ge Wang, Mathews Jacob, Xuanqin Mou, Yongyi Shi, Yonina C. Eldar
Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction". IEEE Trans. Medical Imaging 40 (11) (2021)
Mathews Jacob, Jong Chul Ye, Leslie Ying, Mariya Doneva
Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. IEEE Signal Process. Mag. 37 (1) (2020)
Mathews Jacob, Merry P. Mani, Jong Chul Ye
Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning. IEEE Signal Process. Mag. 37 (1) (2020)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). IEEE Trans. Medical Imaging 39 (12) (2020)
Merry P. Mani, Hemant Kumar Aggarwal, Sanjay Ghosh, Mathews Jacob
Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI. ISBI (2020)
Hemant Kumar Aggarwal, Mathews Jacob
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. ICASSP (2020)
Qing Zou, Mathews Jacob
Sampling of Surfaces and Learning Functions in High Dimensions. ICASSP (2020)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI. IEEE Trans. Medical Imaging 39 (4) (2020)
Abdul Haseeb Ahmed, Hemant Aggarwal, Prashant Nagpal, Mathews Jacob
Dynamic MRI using deep manifold self-learning. ISBI (2020)
Hemant Kumar Aggarwal, Mathews Jacob
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). ISBI (2020)
Abdul Haseeb Ahmed, Ruixi Zhou, Yang Yang, Prashant Nagpal, Michael Salerno, Mathews Jacob
Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM. IEEE Trans. Medical Imaging 39 (12) (2020)
Hemant Kumar Aggarwal, Mathews Jacob
Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. ISBI (2020)
Yue Hu, Xiaodi Li, Yanfeng Gu, Mathews Jacob
Hyperspectral Image Recovery Using Nonconvex Sparsity and Low-Rank Regularizations. IEEE Trans. Geosci. Remote. Sens. 58 (1) (2020)
Hemant Kumar Aggarwal, Mathews Jacob
ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. CoRR (2020)
Stephen Siemonsma, Stanley Kruger, Arvind Balachandrasekaran, Merry Mani, Mathews Jacob
Multi-Echo Recovery with Field Inhomogeneity Compensation Using Structured Low-Rank Matrix Completion. ISBI (2020)
Mathews Jacob, Merry P. Mani, Jong Chul Ye
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning. CoRR (2019)
Hemant Kumar Aggarwal, Mathews Jacob
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. CoRR (2019)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
MoDL: Model-Based Deep Learning Architecture for Inverse Problems. IEEE Trans. Medical Imaging 38 (2) (2019)
Sunrita Poddar, Mathews Jacob
Clustering of Data With Missing Entries Using Non-Convex Fusion Penalties. IEEE Trans. Signal Process. 67 (22) (2019)
Sunrita Poddar, Yasir Q. Mohsin, Deidra Ansah, Bijoy Thattaliyath, Ravi Ashwath, Mathews Jacob
Manifold Recovery Using Kernel Low-Rank Regularization: Application to Dynamic Imaging. IEEE Trans. Computational Imaging 5 (3) (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Off-The-Grid Model Based Deep Learning (O-Modl). ISBI (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). CoRR (2019)
Han Yu, Brian E. Chapman, Arianna Di Florio, Ellen Eischen, David Gotz, Mathews Jacob, Rachael Hageman Blair
Bootstrapping estimates of stability for clusters, observations and model selection. Comput. Stat. 34 (1) (2019)
Qing Zou, Sunrita Poddar, Mathews Jacob
Sampling of Planar Curves: Theory and Fast Algorithms. IEEE Trans. Signal Process. 67 (24) (2019)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). ISBI (2019)
Yue Hu, Xiaohan Liu, Mathews Jacob
A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery. IEEE Trans. Medical Imaging 38 (8) (2019)
Arvind Balachandrasekaran, Merry Mani, Mathews Jacob
Calibration-Free B0 Correction of EPI Data Using Structured Low Rank Matrix Recovery. IEEE Trans. Medical Imaging 38 (4) (2019)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). CoRR (2019)
Yasir Q. Mohsin, Sunrita Poddar, Mathews Jacob
Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM). IEEE Trans. Medical Imaging 38 (10) (2019)
Arvind Balachandrasekaran, Merry Mani, Mathews Jacob
Calibration-free B0 correction of EPI data using structured low rank matrix recovery. CoRR (2018)
Sunrita Poddar, Mathews Jacob
Recovery of Point Clouds on Surfaces: Application to Image Reconstruction. CoRR (2018)
Greg Ongie, Sampurna Biswas, Mathews Jacob
Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples. IEEE Trans. Signal Process. 66 (1) (2018)
Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob
Model-Based Free-Breathing Cardiac MRI Reconstruction Using Deep Learned & Storm Priors: MODL-STORM. ICASSP (2018)
Sunrita Poddar, Yasir Q. Mohsin, Deidra Ansah, Bijoy Thattaliyath, Ravi Ashwath, Mathews Jacob
Free-breathing cardiac MRI using bandlimited manifold modelling. CoRR (2018)
Yue Hu, Xiaohan Liu, Mathews Jacob
Adaptive structured low rank algorithm for MR image recovery. ISBI (2018)
Sunrita Poddar, Mathews Jacob
Clustering of Data with Missing Entries. ICASSP (2018)
Sunrita Poddar, Mathews Jacob
Recovery of point clouds on surfaces: Application to image reconstruction. ISBI (2018)
Sunrita Poddar, Mathews Jacob
Clustering of Data with Missing Entries. CoRR (2018)
Ipshita Bhattacharya, Mathews Jacob
Denoising and deinterleaving of EPSI data using structured low-rank matrix recovery. ISBI (2018)
Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho
Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. ISIT (2018)
Sunrita Poddar, Mathews Jacob
Recovery of Noisy Points on Bandlimited Surfaces: Kernel Methods Re-Explained. ICASSP (2018)
Sunrita Poddar, Mathews Jacob
Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained. CoRR (2018)
Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob
Off-the-grid model based deep learning (O-MODL). CoRR (2018)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
Model based image reconstruction using deep learned priors (MODL). ISBI (2018)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS). CoRR (2018)
Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob
Model-based free-breathing cardiac MRI reconstruction using deep learned & STORM priors: MoDL-STORM. CoRR (2018)
Greg Ongie, Sampurna Biswas, Mathews Jacob
Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples. CoRR (2017)
Gregory Ongie, Mathews Jacob
A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery. IEEE Trans. Computational Imaging 3 (4) (2017)
Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. CoRR (2017)
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
MoDL: Model Based Deep Learning Architecture for Inverse Problems. CoRR (2017)
Arvind Balachandrasekaran, Mathews Jacob
Novel structured low-rank algorithm to recover spatially smooth exponential image time series. ISBI (2017)
Sampurna Biswas, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob
Subspace Aware Recovery of Low Rank and Jointly Sparse Signals. IEEE Trans. Computational Imaging 3 (1) (2017)
Arvind Balachandrasekaran, Vincent Magnotta, Mathews Jacob
Recovery of Damped Exponentials Using Structured Low Rank Matrix Completion. IEEE Trans. Medical Imaging 36 (10) (2017)
Sunrita Poddar, Mathews Jacob
Clustering of Data with Missing Entries using Non-convex Fusion Penalties. CoRR (2017)
Hema Kumari Achanta, Sampurna Biswas, Bhanumati N. Dasgupta, Soura Dasgupta, Mathews Jacob, Raghuraman Mudumbai
The spark of Fourier matrices: Connections to vanishing sums and coprimeness. Digit. Signal Process. 61 (2017)
Arvind Balachandrasekaran, Vincent Magnotta, Mathews Jacob
Recovery of damped exponentials using structured low rank matrix completion. CoRR (2017)
Arvind Balachandrasekaran, Mathews Jacob
Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series. CoRR (2017)
Sunrita Poddar, Mathews Jacob
Convex clustering and recovery of partially observed data. ICIP (2016)
Greg Ongie, Mathews Jacob
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples. SIAM J. Imaging Sci. 9 (3) (2016)
Sunrita Poddar, Mathews Jacob
Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM). IEEE Trans. Medical Imaging 35 (4) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mathews Jacob