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ORCIDMathews Jacob
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2020 – today
- 2024
[j52]Maneesh John
, Jyothi Rikhab Chand, Mathews Jacob:
Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL. IEEE Trans. Computational Imaging 10: 742-751 (2024)- [j51]Jyothi Rikhab Chand, Mathews Jacob:
Multi-Scale Energy (MuSE) Framework for Inverse Problems in Imaging. IEEE Trans. Computational Imaging 10: 1250-1265 (2024) - [c87]Jyothi Rikhab Chand, Mathews Jacob:
Memory-Efficient Deep End-to-End Posterior Network (Deepen) for Inverse Problems. ISBI 2024: 1-5 - [c86]Maneesh John, Jyothi Rikhab Chand, Mathews Jacob:
Local Monotone Operator Learning Using Non-Monotone Operators: MNM-MOL. ISBI 2024: 1-5 - [c85]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. ISBI 2024: 1-5 - [i46]Jyothi Rikhab Chand, Mathews Jacob:
Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems. CoRR abs/2402.05422 (2024) - [i45]Reinhard Heckel, Mathews Jacob, Akshay Chaudhari, Or Perlman, Efrat Shimron:
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review. CoRR abs/2404.15692 (2024) - [i44]Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu:
Denoising Diffusions in Latent Space for Medical Image Segmentation. CoRR abs/2407.12952 (2024) - 2023
- [j50]Aniket Pramanik, M. Bridget Zimmerman, Mathews Jacob:
Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees. IEEE Trans. Computational Imaging 9: 260-275 (2023) - [j49]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): 1133-1144 (2023) - [c84]Jyothi Rikhab Chand, Mathews Jacob:
Fast image recovery using plug-and-play multi-scale energy (MuSE) framework. ACSSC 2023: 32-35 - [c83]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: 1-4 - [c82]Aniket Pramanik, Mathews Jacob:
Accelerated Parallel MRI Using Memory Efficient and Robust Monotone Operator Learning (MOL). ISBI 2023: 1-4 - [c81]Qing Zou, Sarv Priya, Prashant Nagpal, Mathews Jacob:
Deep Generative Model for Joint Cardiac T1 Mapping and Cardiac Cine. ISBI 2023: 1-4 - [c80]Joseph Kettelkamp, Ludovica Romanin, Davide Piccini, Sarv Priya, Mathews Jacob:
Motion Compensated Unsupervised Deep Learning for 5D MRI. MICCAI (10) 2023: 419-427 - [i43]Jyothi Rikabh Chand, Mathews Jacob:
Plug-and-Play Deep Energy Model for Inverse problems. CoRR abs/2302.11570 (2023) - [i42]Yan Chen, James H. Holmes, Curtis Corum, Vincent Magnotta, Mathews Jacob:
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI. CoRR abs/2304.00102 (2023) - [i41]Aniket Pramanik, Mathews Jacob:
Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL). CoRR abs/2304.01351 (2023) - [i40]Aniket Pramanik, Sampada Bhave, Saurav Sajib, Samir D. Sharma, Mathews Jacob:
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL. CoRR abs/2304.11238 (2023) - [i39]Maneesh John, Jyothi Rikhab Chand, Mathews Jacob:
Local monotone operator learning using non-monotone operators: MnM-MOL. CoRR abs/2312.00386 (2023) - [i38]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 abs/2312.12649 (2023) - 2022
- [j48]Abdul Haseeb Ahmed, Qing Zou, Prashant Nagpal, Mathews Jacob:
Dynamic Imaging Using Deep Bi-Linear Unsupervised Representation (DEBLUR). IEEE Trans. Medical Imaging 41(10): 2693-2703 (2022) - [j47]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): 3552-3561 (2022) - [c79]Aniket Pramanik, Mathews Jacob:
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. ECCV Workshops (3) 2022: 437-453 - [c78]Aniket Pramanik, Mathews Jacob:
Improved Model Based Deep Learning Using Monotone Operator Learning (Mol). ISBI 2022: 1-4 - [c77]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: 1-4 - [c76]Qing Zou, Luis A. Torres, Sean B. Fain, Mathews Jacob:
Dynamic Imaging Using Motion-Compensated Smoothness Regularization on Manifolds (MOCO-STORM). ISBI 2022: 1-4 - [c75]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: 697-706 - [i37]Aniket Pramanik, Mathews Jacob:
Stable and memory-efficient image recovery using monotone operator learning (MOL). CoRR abs/2206.04797 (2022) - 2021
- [j46]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): 580-619 (2021) - [j45]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): 2956-2964 (2021) - [j44]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): 3102-3112 (2021) - [c74]Hemant Kumar Aggarwal, Aniket Pramanik, Mathews Jacob:
Ensure: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. ICASSP 2021: 1160-1164 - [c73]Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob:
Deep Generative Storm Model for Dynamic Imaging. ISBI 2021: 114-117 - [c72]Aniket Pramanik, Mathews Jacob:
Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR. ISBI 2021: 1095-1098 - [c71]Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob:
Dynamic Imaging Using Deep Bilinear Unsupervised Learning (Deblur). ISBI 2021: 1099-1102 - [i36]Hemant Kumar Aggarwal, Mathews Jacob:
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. CoRR abs/2102.00047 (2021) - [i35]Aniket Pramanik, Mathews Jacob:
Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR. CoRR abs/2102.01172 (2021) - [i34]Aniket Pramanik, Xiaodong Wu, Mathews Jacob:
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. CoRR abs/2105.09220 (2021) - [i33]Qing Zou, Luis A. Torres, Sean B. Fain, Mathews Jacob:
Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM). CoRR abs/2111.10887 (2021) - [i32]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 abs/2111.10889 (2021) - [i31]Maneesh John, Hemant Kumar Aggarwal, Qing Zou, Mathews Jacob:
Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP. CoRR abs/2111.10892 (2021) - [i30]Aniket Pramanik, Mathews Jacob:
Improved Model based Deep Learning using Monotone Operator Learning (MOL). CoRR abs/2111.11380 (2021) - [i29]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 abs/2112.03380 (2021) - 2020
- [j43]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): 1151-1162 (2020) - [j42]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): 21-23 (2020) - [j41]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): 54-68 (2020) - [j40]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): 532-545 (2020) - [j39]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): 1268-1277 (2020) - [j38]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): 3933-3943 (2020) - [j37]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR). IEEE Trans. Medical Imaging 39(12): 4186-4197 (2020) - [c70]Qing Zou, Mathews Jacob:
Sampling of Surfaces and Learning Functions in High Dimensions. ICASSP 2020: 8354-8358 - [c69]Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. ICASSP 2020: 8901-8905 - [c68]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: 913-916 - [c67]Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. ISBI 2020: 926-929 - [c66]Abdul Haseeb Ahmed, Hemant Aggarwal, Prashant Nagpal, Mathews Jacob:
Dynamic MRI using deep manifold self-learning. ISBI 2020: 1052-1055 - [c65]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: 1074-1077 - [c64]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). ISBI 2020: 1428-1431 - [i28]Hemant Kumar Aggarwal, Mathews Jacob:
ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. CoRR abs/2010.10631 (2020)
2010 – 2019
- 2019
- [j36]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): 349-372 (2019) - [j35]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): 478-491 (2019) - [j34]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
MoDL: Model-Based Deep Learning Architecture for Inverse Problems. IEEE Trans. Medical Imaging 38(2): 394-405 (2019) - [j33]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): 979-990 (2019) - [j32]Yue Hu, Xiaohan Liu, Mathews Jacob:
A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery. IEEE Trans. Medical Imaging 38(8): 1841-1851 (2019) - [j31]Yasir Q. Mohsin, Sunrita Poddar, Mathews Jacob:
Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM). IEEE Trans. Medical Imaging 38(10): 2303-2313 (2019) - [j30]Sunrita Poddar, Mathews Jacob:
Clustering of Data With Missing Entries Using Non-Convex Fusion Penalties. IEEE Trans. Signal Process. 67(22): 5865-5880 (2019) - [j29]Qing Zou, Sunrita Poddar, Mathews Jacob:
Sampling of Planar Curves: Theory and Fast Algorithms. IEEE Trans. Signal Process. 67(24): 6455-6467 (2019) - [c63]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Off-The-Grid Model Based Deep Learning (O-Modl). ISBI 2019: 1395-1398 - [c62]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). ISBI 2019: 1541-1544 - [i27]Mathews Jacob, Merry P. Mani, Jong Chul Ye:
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning. CoRR abs/1910.12162 (2019) - [i26]Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. CoRR abs/1911.02945 (2019) - [i25]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL). CoRR abs/1911.12443 (2019) - [i24]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Deep Generalization of Structured Low Rank Algorithms (Deep-SLR). CoRR abs/1912.03433 (2019) - 2018
- [j28]Greg Ongie, Sampurna Biswas, Mathews Jacob:
Convex Recovery of Continuous Domain Piecewise Constant Images From Nonuniform Fourier Samples. IEEE Trans. Signal Process. 66(1): 236-250 (2018) - [c61]Sunrita Poddar, Mathews Jacob:
Clustering of Data with Missing Entries. ICASSP 2018: 2831-2835 - [c60]Sunrita Poddar, Mathews Jacob:
Recovery of Noisy Points on Bandlimited Surfaces: Kernel Methods Re-Explained. ICASSP 2018: 4024-4028 - [c59]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: 6533-6537 - [c58]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Model based image reconstruction using deep learned priors (MODL). ISBI 2018: 671-674 - [c57]Ipshita Bhattacharya, Mathews Jacob:
Denoising and deinterleaving of EPSI data using structured low-rank matrix recovery. ISBI 2018: 679-682 - [c56]Yue Hu, Xiaohan Liu, Mathews Jacob:
Adaptive structured low rank algorithm for MR image recovery. ISBI 2018: 1260-1263 - [c55]Sunrita Poddar, Mathews Jacob:
Recovery of point clouds on surfaces: Application to image reconstruction. ISBI 2018: 1272-1275 - [c54]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: 76-80 - [i23]Sunrita Poddar, Mathews Jacob:
Recovery of Point Clouds on Surfaces: Application to Image Reconstruction. CoRR abs/1801.00886 (2018) - [i22]Sunrita Poddar, Mathews Jacob:
Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained. CoRR abs/1801.00890 (2018) - [i21]Sunrita Poddar, Mathews Jacob:
Clustering of Data with Missing Entries. CoRR abs/1801.01455 (2018) - [i20]Sunrita Poddar, Yasir Q. Mohsin, Deidra Ansah, Bijoy Thattaliyath, Ravi Ashwath, Mathews Jacob:
Free-breathing cardiac MRI using bandlimited manifold modelling. CoRR abs/1802.08909 (2018) - [i19]Arvind Balachandrasekaran, Merry Mani, Mathews Jacob:
Calibration-free B0 correction of EPI data using structured low rank matrix recovery. CoRR abs/1804.07436 (2018) - [i18]Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob:
Model-based free-breathing cardiac MRI reconstruction using deep learned & STORM priors: MoDL-STORM. CoRR abs/1807.03845 (2018) - [i17]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS). CoRR abs/1812.08115 (2018) - [i16]Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Off-the-grid model based deep learning (O-MODL). CoRR abs/1812.10747 (2018) - 2017
- [j27]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: 76-85 (2017) - [j26]Sampurna Biswas, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob:
Subspace Aware Recovery of Low Rank and Jointly Sparse Signals. IEEE Trans. Computational Imaging 3(1): 22-35 (2017) - [j25]Gregory Ongie, Mathews Jacob:
A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery. IEEE Trans. Computational Imaging 3(4): 535-550 (2017) - [j24]Arvind Balachandrasekaran, Vincent Magnotta, Mathews Jacob:
Recovery of Damped Exponentials Using Structured Low Rank Matrix Completion. IEEE Trans. Medical Imaging 36(10): 2087-2098 (2017) - [c53]Arvind Balachandrasekaran, Mathews Jacob:
Novel structured low-rank algorithm to recover spatially smooth exponential image time series. ISBI 2017: 1-4 - [i15]Greg Ongie, Sampurna Biswas, Mathews Jacob:
Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples. CoRR abs/1703.01405 (2017) - [i14]Arvind Balachandrasekaran, Mathews Jacob:
Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series. CoRR abs/1703.09880 (2017) - [i13]Arvind Balachandrasekaran, Vincent Magnotta, Mathews Jacob:
Recovery of damped exponentials using structured low rank matrix completion. CoRR abs/1704.04511 (2017) - [i12]Sunrita Poddar, Mathews Jacob:
Clustering of Data with Missing Entries using Non-convex Fusion Penalties. CoRR abs/1709.01870 (2017) - [i11]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 abs/1711.01396 (2017) - [i10]Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
MoDL: Model Based Deep Learning Architecture for Inverse Problems. CoRR abs/1712.02862 (2017) - 2016
- [j23]Greg Ongie, Mathews Jacob:
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples. SIAM J. Imaging Sci. 9(3): 1004-1041 (2016) - [j22]Sunrita Poddar, Mathews Jacob:
Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM). IEEE Trans. Medical Imaging 35(4): 1106-1115 (2016) - [c52]Merry Mani, Vincent Magnotta, Douglas Kelley, Mathews Jacob:
Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels. EMBC 2016: 1107-1110 - [c51]Greg Ongie, Sampurna Biswas, Mathews Jacob:
Structured low-rank recovery of piecewise constant signals with performance guarantees. ICIP 2016: 963-967 - [c50]Arvind Balachandrasekaran, Greg Ongie, Mathews Jacob:
Accelerated dynamic MRI using structured low rank matrix completion. ICIP 2016: 1858-1862 - [c49]Yue Hu, Xin Lu, Mathews Jacob:
Multiple degree total variation (MDTV) regularization for image restoration. ICIP 2016: 1958-1962 - [c48]Sunrita Poddar, Mathews Jacob:
Convex clustering and recovery of partially observed data. ICIP 2016: 3498-3502 - [c47]Greg Ongie, Mathews Jacob:
A fast algorithm for structured low-rank matrix recovery with applications to undersampled MRI reconstruction. ISBI 2016: 522-525 - [c46]Ipshita Bhattacharya, Mathews Jacob:
Compartmentalized low-rank regularization with orthogonality constraints for high-resolution MRSI. ISBI 2016: 960-963 - [i9]Greg Ongie, Sampurna Biswas, Mathews Jacob:
Structured low-rank recovery of piecewise constant signals with performance guarantees. CoRR abs/1604.04888 (2016) - [i8]Greg Ongie, Mathews Jacob:
GIRAF: A Fast Algorithm for Structured Low-Rank Matrix Recovery. CoRR abs/1609.07429 (2016) - 2015
- [j21]Greg Ongie, Mathews Jacob:
Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation. IEEE Signal Process. Lett. 22(9): 1414-1418 (2015) - [j20]Sampurna Biswas, Hema Kumari Achanta, Mathews Jacob, Soura Dasgupta, Raghuraman Mudumbai:
Recovery of Low Rank and Jointly Sparse Matrices with Two Sampling Matrices. IEEE Signal Process. Lett. 22(11): 1945-1949 (2015) - [j19]Sajan Goud Lingala, Edward DiBella, Mathews Jacob:
Deformation Corrected Compressed Sensing (DC-CS): A Novel Framework for Accelerated Dynamic MRI. IEEE Trans. Medical Imaging 34(1): 72-85 (2015) - [j18]Yasir Q. Mohsin, Gregory Ongie, Mathews Jacob:
Iterative Shrinkage Algorithm for Patch-Smoothness Regularized Medical Image Recovery. IEEE Trans. Medical Imaging 34(12): 2417-2428 (2015) - [c45]Sampurna Biswas, Soura Dasgupta, Mathews Jacob, Raghuraman Mudumbai:
Spark under 2-D fourier sampling. EUSIPCO 2015: 2821-2824 - [c44]Sunrita Poddar, Mathews Jacob:
Low rank recovery with manifold smoothness prior: Theory and application to accelerated dynamic MRI. ISBI 2015: 319-322 - [c43]Arvind Balachandrasekaran, Mathews Jacob:
Accelerated dynamic MRI using self expressiveness prior. ISBI 2015: 893-896 - [c42]Sampurna Biswas, Sunrita Poddar, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob:
Two step recovery of jointly sparse and low-rank matrices: Theoretical guarantees. ISBI 2015: 914-917 - [c41]Greg Ongie, Mathews Jacob:
Super-resolution MRI using finite rate of innovation curves. ISBI 2015: 1248-1251 - [i7]Greg Ongie, Mathews Jacob:
Super-resolution MRI Using Finite Rate of Innovation Curves. CoRR abs/1501.01697 (2015) - [i6]Greg Ongie, Mathews Jacob:
Recovery of Piecewise Smooth Images from Few Fourier Samples. CoRR abs/1502.00705 (2015) - [i5]Greg Ongie, Mathews Jacob:
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples. CoRR abs/1510.00384 (2015) - 2014
- [j17]Yue Hu, Greg Ongie, Sathish Ramani, Mathews Jacob:
Generalized Higher Degree Total Variation (HDTV) Regularization. IEEE Trans. Image Process. 23(6): 2423-2435 (2014) - [j16]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, Farshid Sepehrband, Emmanuel Caruyer, Jeiran Choupan, Rachid Deriche, Mathews Jacob, Gloria Menegaz, Vesna Prckovska, Mariano Rivera, Yves Wiaux, Jean-Philippe Thiran:
Quantitative Comparison of Reconstruction Methods for Intra-Voxel Fiber Recovery From Diffusion MRI. IEEE Trans. Medical Imaging 33(2): 384-399 (2014) - [c40]Sampurna Biswas, Sunrita Poddar, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob:
Subspace based low rank & joint sparse matrix recovery. ACSSC 2014: 642-646 - [c39]Yasir Q. Mohsin, Gregory Ongie, Mathews Jacob:
Accelerated MRI using iterative non-local shrinkage. EMBC 2014: 1545-1548 - [c38]Sampada Bhave, Sajan Goud Lingala, Mathews Jacob:
A variable splitting based algorithm for fast multi-coil blind compressed sensing MRI reconstruction. EMBC 2014: 2400-2403 - [c37]Sunrita Poddar, Sajan Goud Lingala, Mathews Jacob:
Joint recovery of under sampled signals on a manifold: Application to free breathing cardiac MRI. ICASSP 2014: 6904-6908 - [c36]Hema Kumari Achanta, Sampurna Biswas, Soura Dasgupta, Mathews Jacob, Bhanumati N. Dasgupta, Raghuraman Mudumbai:
Coprime conditions for Fourier sampling for sparse recovery. SAM 2014: 533-536 - [c35]Greg Ongie, Yue Hu, Mathews Jacob:
Higher degree total variation for 3-D image recovery. ISBI 2014: 1003-1006 - [i4]Yasir Q. Mohsin, Greg Ongie, Mathews Jacob:
Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction. CoRR abs/1405.5494 (2014) - [i3]Sajan Goud Lingala, Edward DiBella, Mathews Jacob:
Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI. CoRR abs/1405.7718 (2014) - [i2]Sampurna Biswas, Sunrita Poddar, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob:
Two step recovery of jointly sparse and low-rank matrices: theoretical guarantees. CoRR abs/1412.2669 (2014) - [i1]Sampurna Biswas, Sunrita Poddar, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob:
Subspace based low rank and joint sparse matrix recovery. CoRR abs/1412.2700 (2014) - 2013
- [j15]Zhili Yang, Mathews Jacob:
Nonlocal Regularization of Inverse Problems: A Unified Variational Framework. IEEE Trans. Image Process. 22(8): 3192-3203 (2013) - [j14]Sajan Goud Lingala, Mathews Jacob:
Blind Compressive Sensing Dynamic MRI. IEEE Trans. Medical Imaging 32(6): 1132-1145 (2013) - [c34]Sajan Goud Lingala, Mathews Jacob:
Blind compressed sensing with sparse dictionaries for accelerated dynamic MRI. ISBI 2013: 5-8 - [c33]Yue Hu, Sathish Ramani, Mathews Jacob:
A fast majorize minimize algorithm for higher degree total variation regularization. ISBI 2013: 326-329 - 2012
- [j13]Yue Hu, Sajan Goud Lingala, Mathews Jacob:
A Fast Majorize-Minimize Algorithm for the Recovery of Sparse and Low-Rank Matrices. IEEE Trans. Image Process. 21(2): 742-753 (2012) - [j12]Yue Hu, Mathews Jacob:
Higher Degree Total Variation (HDTV) Regularization for Image Recovery. IEEE Trans. Image Process. 21(5): 2559-2571 (2012) - [c32]Merry Mani, Mathews Jacob, Arnaud Guidon, Chunlei Liu, Allen W. Song, Vincent Magnotta, Jianhui Zhong:
Acceleration of high angular and spatial resolution diffusion imaging using compressed sensing. ISBI 2012: 326-329 - [c31]Merry Mani, Mathews Jacob, Arnaud Guidon, Vincent Magnotta, Jianhui Zhong:
Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI. ISBI 2012: 406-409 - [c30]Yue Hu, Mathews Jacob:
Improved higher degree total variation (HDTV) regularization. ISBI 2012: 656-659 - [c29]Zhili Yang, Mathews Jacob:
Robust non-local regularization framework for motion compensated dynamic imaging without explicit motion estimation. ISBI 2012: 1056-1059 - [c28]Sajan Goud Lingala, Mathews Jacob:
A blind compressive sensing frame work for accelerated dynamic MRI. ISBI 2012: 1060-1063 - 2011
- [j11]Sajan Goud Lingala, Yue Hu, Edward V. R. Di Bella, Mathews Jacob:
Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank Structure: k-t SLR. IEEE Trans. Medical Imaging 30(5): 1042-1054 (2011) - [c27]Sajan Goud Lingala, Mariappan S. Nadar, Christophe Chefd'Hotel, Li Zhang, Mathews Jacob:
Unified reconstruction and motion estimation in cardiac perfusion MRI. ISBI 2011: 65-68 - [c26]Ramin Eslami, Mathews Jacob:
A sparse reconstruction algorithm for parallel spiral MR spectroscopic imaging. ISBI 2011: 93-96 - [c25]Zhili Yang, Mathews Jacob:
A unified energy minimization framework for nonlocal regularization. ISBI 2011: 1150-1153 - [c24]Yue Hu, Mathews Jacob:
Image recovery using improved total variation regularization. ISBI 2011: 1154-1157 - [c23]Sajan Goud Lingala, Yue Hu, Edward V. R. Di Bella, Mathews Jacob:
Accelerated first pass cardiac perfusion MRI using improved k - t SLR. ISBI 2011: 1280-1283 - 2010
- [j10]Ramin Eslami, Mathews Jacob:
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors. IEEE Trans. Medical Imaging 29(6): 1297-1309 (2010) - [c22]Satyananda Kashyap, Mathews Jacob:
A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI. ISBI 2010: 265-268 - [c21]Sajan Goud, Yue Hu, Mathews Jacob:
Real-time cardiac MRI using low-rank and sparsity penalties. ISBI 2010: 988-991
2000 – 2009
- 2009
- [j9]Mathews Jacob, Bradley P. Sutton:
Algebraic Decomposition of Fat and Water in MRI. IEEE Trans. Medical Imaging 28(2): 173-184 (2009) - [j8]Mathews Jacob:
Optimized least-square nonuniform fast Fourier transform. IEEE Trans. Signal Process. 57(6): 2165-2177 (2009) - [c20]Ramin Eslami, Mathews Jacob:
Correction of B0 inhomogeneity distortion in magnetic resonance spectroscopic imaging. ICASSP 2009: 405-408 - [c19]Mathews Jacob:
Optimized non-uniform fast Fourier transform (NUFFT) for iterative tomographic reconstruction. ICASSP 2009: 673-676 - [c18]Zhili Yang, Mathews Jacob:
Efficient Nufft Algorithm for Non-Cartesian MRI Reconstruction. ISBI 2009: 117-120 - [c17]Ramin Eslami, Mathews Jacob:
Reduction of Distortions in MRSI Using a New Signal Model. ISBI 2009: 438-441 - 2008
- [c16]Rohini Shankar, Tianliang Gu, Jianhui Zhong, Mathews Jacob:
Improved IDQC reconstruction for inhomogeneity corrected MR spectroscopy. ISBI 2008: 468-471 - 2007
- [j7]Ildar Khalidov, Dimitri Van De Ville, Mathews Jacob, François Lazeyras, Michael Unser:
BSLIM: Spectral Localization by Imaging With Explicit B0 Field Inhomogeneity Compensation. IEEE Trans. Medical Imaging 26(7): 990-1000 (2007) - [j6]Mathews Jacob, Xiaoping Zhu, Andreas Ebel, Norbert Schuff, Zhi-Pei Liang:
Improved Model-Based Magnetic Resonance Spectroscopic Imaging. IEEE Trans. Medical Imaging 26(10): 1305-1318 (2007) - [c15]Robert L. Morrison Jr., Mathews Jacob, Minh N. Do:
Multichannel Estimation of Coil Sensitivities in Parallel Mri. ISBI 2007: 117-120 - [c14]Mathews Jacob, Bradley P. Sutton:
Non-Iterative Dixon Decomposition of Fat and Water. ISBI 2007: 1356-1359 - 2006
- [j5]Mathews Jacob, Thierry Blu, C. Vaillant, J. H. Maddocks, Michael Unser:
3-D shape estimation of DNA molecules from stereo cryo-electron micro-graphs using a projection-steerable snake. IEEE Trans. Image Process. 15(1): 214-227 (2006) - [c13]Mathews Jacob, Vlad Toronov, Yoram Bresler, Xiaofeng Zhang, Andrew G. Webb:
Reconstruction of functional activations in diffuse optical imaging. ISBI 2006: 594-597 - [c12]Justin P. Haldar, Mathews Jacob, Andreas Ebel, Xiaoping Zhu, Norbert Schuff, Diego Hernando, Bradley P. Sutton, Zhi-Pei Liang:
Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior. ISBI 2006: 718-721 - [c11]Mathews Jacob, Bradley P. Sutton, Justin P. Haldar, Zhi-Pei Liang:
On model-based MR spectroscopic imaging. ISBI 2006: 726-729 - [c10]Ildar Khalidov, Dimitri Van De Ville, Mathews Jacob, François Lazeyras, Michael Unser:
Improved MRSI with field inhomogeneity compensation. Image Processing 2006: 614467 - 2005
- [c9]François Aguet, Mathews Jacob, Michael Unser:
Three-dimensional feature detection using optimal steerable filters. ICIP (2) 2005: 1158-1161 - 2004
- [j4]Mathews Jacob, Michael Unser:
Design of Steerable Filters for Feature Detection Using Canny-Like Criteria. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 1007-1019 (2004) - [j3]Mathews Jacob, Thierry Blu, Michael Unser:
Efficient energies and algorithms for parametric snakes. IEEE Trans. Image Process. 13(9): 1231-1244 (2004) - [c8]Mathews Jacob, Thierry Blu, Michael Unser:
Shape estimation of 3-D DNA molecules from stereo cryo-electron micro-graphs. ICIP 2004: 1883-1886 - [c7]Erik Meijering, Mathews Jacob, J.-C. Floyd Sarria, Pascal Steiner, Harald Hirling, Michael Unser:
Neurite Tracing in Fluorescence Microscopy Images using Ridge Filtering and Graph Searching: Principles and Validation. ISBI 2004: 1219-1222 - 2003
- [c6]Mathews Jacob, Michael Unser:
Optimal steerable filters for feature detection. ICIP (3) 2003: 433-436 - [c5]Erik Meijering, Mathews Jacob, J.-C. Floyd Sarria, Michael Unser:
A Novel Approach to Neurite Tracing in Fluorescence Microscopy Images. SIP 2003: 491-495 - 2002
- [j2]Mathews Jacob, Thierry Blu, Michael Unser:
Sampling of periodic signals: a quantitative error analysis. IEEE Trans. Signal Process. 50(5): 1153-1159 (2002) - [c4]Mathews Jacob, Thierry Blu, Michael Unser:
3-D reconstruction of DNA filaments from stereo cryo-electron micrographs. ISBI 2002: 597-600 - 2001
- [j1]Mathews Jacob, Thierry Blu, Michael Unser:
An Exact Method for Computing the Area Moments of Wavelet and Spline Curves. IEEE Trans. Pattern Anal. Mach. Intell. 23(6): 633-642 (2001) - [c3]Manuela Feilner, Mathews Jacob, Michael Unser:
Orthogonal quincunx wavelets with fractional orders. ICIP (1) 2001: 606-609 - [c2]Mathews Jacob, Thierry Blu, Michael A. Unser:
Unifying approach and interface for spline-based snakes. Image Processing 2001 - 2000
- [c1]Mathews Jacob, Thierry Blu, Michael Unser:
Exact Computation of Area Moments for Spline and Wavelet Curves. ICPR 2000: 3131-3134
Coauthor Index
Hemant Kumar Aggarwal
aka: Hemant Aggarwal
aka: Hemant Aggarwal
Sajan Goud Lingala
aka: Sajan Goud
aka: Sajan Goud
Merry Mani
aka: Merry P. Mani
aka: Merry P. Mani
Greg Ongie
aka: Gregory Ongie
aka: Gregory Ongie
Michael Unser
aka: Michael A. Unser
aka: Michael A. Unser
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