Publications

  1. J.R. Chand, M. Jacob, Memory-Efficient Deep End-to-End Posterior Network (DEEPEN) for Inverse Problems 
  2. J.R. Chand, M. Jacob, Multi-Scale Energy (MuSE) plug and play framework for inverse problems
  3. M. John, H. Aggarwal, Q. Zou, M. Jacob, Deep image prior using Stein's Unbiased risk estimator: SURE-DIP.
  4. H.K. Aggarwal, M. Jacob, Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. 

  1. M. John, J.R. Chand, M. Jacob, Local monotone operator learning using non-monotone operators: MnM-MOL, IEEE Transactions on Computational Imaging, in press
  2. Q. Zou, S.Priya, P.Nagpal,. M.Jacob, Joint Cardiac T1 Mapping and Cardiac Cine Using Manifold Modeling, MDPI, Special Issue on Machine Learning, in press.
  3. J Yi, S Dasgupta, JF Cai, M Jacob, J Gao, M Cho, W Xu, Separation-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach, Information and Inference: A Journal of the IMA, 2023.
  4. A. Pramanik, S. Bhave, S. Sajib, S. D. Sharma, M. Jacob, Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL, Magnetic Resonance in Medicine, in press.
  5. A. Pramanik, M. B. Zimmerman, M. Jacob, Memory-efficient model-based deep learning with convergence and robustness guarantees, IEEE Transactions on Computational Imaging, in press. Github Google Colab
  6. H.K. Aggarwal, A. Pramanik, M. Jacob, ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms, IEEE Transactions on Medical Imaging, in press.
  7. S Priya, DD Dhruba, SS Perry, PY Aher, A Gupta, P Nagpal, M Jacob, Optimizing Deep Learning for Cardiac MRI Segmentation: The Impact of Automated Slice Range Classification, Academic Radiology, 2023
  8. S Priya, DD Dhruba, E Sorensen, PY Aher, S Narayanasamy, P Nagpal,  Mathews Jacob, Knute D Carter, ComBat Harmonization of Myocardial Radiomic Features Sensitive to Cardiac MRI Acquisition Parameters, Radiology: Cardiothoracic Imaging
  9. Q. Zou, L. Torres, S.Fain, N. Higano, A. Bates, M.Jacob, Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM), Physics in Medicine and Biology, special issue "Focus on Machine Learning Models in Medical Imaging", in press
  10. Q. Zou, A. Ahmed, P. Nagpal, S. Priya, R. Schulte, M. Jacob, Generative SToRM: A novel approach for joint alignment and recovery of multi-slice dynamic MRI, IEEE Transactions on Medical Imaging, in press.
  11. A. Ahmed, Q. Zou, P. Nagpal, M. Jacob, Dynamic Imaging using Deep Bi-linear Unsupervised Representation (DEBLUR), IEEE Transactions on Medical Imaging, in press.
  12. Q. Zou, A. Ahmed, P. Nagpal, S. Kruger, M. Jacob, Dynamic imaging using deep generative SToRM (Gen-SToRM) model, IEEE Transactions on Medical Imaging, special issue on Deep Learning for Image Reconstruction, in press. 
  13. M. Mani, B. Yang, G. Bathla, V. Magnotta, M. Jacob, Multi-band and In-plane Accelerated Diffusion MRI Enabled by Model-based Deep Learning in q-space And its Extension to Learning in the Spherical Harmonics Domain, Magnetic Resonance in Medicine, in press.
  14. Sarv Priya, Tanya Aggarwal, Caitlin Ward, Girish Bathla, Mathews Jacob, Alicia Gerke, Eric Hoffman, Prashant Nagpal, Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models, Scientific Reports, in press.
  15. Q. Zou, M. Jacob, Recovery of surfaces and functions in high dimensions: sampling theory and links to neural networks, SIAM Journal on Imaging Sciences, Volume: 14, Issue: 2, 2021, pp 580 - 619
  16. Sarv Priya, Tanya Aggarwal, Caitlin Ward, Girish Bathla, Mathews Jacob, Alicia Gerke, Eric Hoffman, Prashant Nagpal, Radiomics Detection of Pulmonary Hypertension via Texture-based Assessments of Cardiac MRI: A Machine-learning Model Comparison, Journal of Clinical Medicine, in press.
  17. M.Mani, M. Jacob, V. Magnotta, qModeL: A Plug-and-Play Model-based Reconstruction for Highly Accelerated Multi-shot Diffusion MRI Using Learned Priors, Magnetic Resonance in Medicine, in press
  18. A.H. Ahmed, Y. Mohsin, R. Zhao, Y. Yang, M. Salerno, P. Nagpal, M. Jacob, Free-breathing and ungated cardiac cine using navigator-less spiral SToRM, IEEE TMI, in press.
  19. A. Joy, M. Jacob, J. Paul, Compressed sensing MRI using an interpolation-free non-linear diffusion model, Magnetic Resonance in Medicine, in press. 
  20. A. Pramanik, H. K. Aggarwal, M. Jacob, Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR), IEEE TMI, 4186 - 4197, Vol 39, Issue 12, Dec 2020.
  21. H. K. Aggarwal, M. Jacob, J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction, Journal of Selected Topics in Signal Processing,  Volume: 14, Issue: 6, Oct. 2020, pp.  1151 - 1162.
  22. Q. Zou, S. Poddar, M. Jacob, Sampling of Planar Curves: Theory and Fast Algorithms, IEEE Transactions on Signal Processing, Volume: 67, Issue: 24, Dec.15, 15 2019, pp 6455 - 6467
  23. M. Jacob, M. Mani, J.C. Ye, Structured Low-Rank Algorithms, Theory, MR Applications, and Links to Machine Learning, IEEE Signal Processing Magazine, Volume: 37, Issue: 1, Jan. 2020, pp 54 - 68.
  24. M.Jacob, J.C.Ye, M. Doneva, L. Ying, Computational MRI: Compressive Sensing and Beyond, IEEE Signal Processing Magazine, Volume: 37, Issue: 1, Jan. 2020, pp 21 - 23.
  25. M. Mani, H. Aggarwal, V. Magnotta, M. Jacob, Improved MUSSELS reconstruction for high-resolution multishot diffusion weighted imaging, Magnetic Resonance in Medicine, 2020 Jun;83(6):2253-2263.
  26. H.K. Aggarwal, M. Mani, M. Jacob, MoDL-MUSSELS: Model-Based Deep Learning for Multi-Shot Sensitivity Encoded Diffusion MRI, IEEE Transactions on Medical Imaging, 2020 Apr; 39(4): 1268–1277.
  27. S. Poddar,  M. Jacob, Clustering of Data with Missing Entries using Non-convex Fusion Penalties, IEEE Transactions on Signal Processing, Volume: 67, Issue: 22, Nov.15, 15 2019.
  28. Y. Hu, X. Li, Y. Gu, M. Jacob, Hyperspectral Image Recovery using Nonconvex Sparsity and Low-Rank Regularizations, IEEE Transactions on Geoscience and Remote Sensing, Volume: 58, Issue: 1, Jan. 2020, pp 532 - 545.
  29. M.Mani, M. Jacob, G. McKinnon, B. Yang, B. Rutt, V. Magnotta, SMS MUSSELS: A Navigator-free Reconstruction for Simultaneous Multislice Accelerated Multi-shot Diffusion Weighted Imaging, Magnetic Resonance in Medicine, 2020 Jan;83(1):154-169.
  30. J. Humston, I. Bhattacharya, M. Jacob, and C. Cheatum. Optimized Reconstructions of Compressively Sampled Two-Dimensional Infrared Spectra,  Journal of Chemical Physics, 150, 234202 (2019).
  31. A. Joy, M. Jacob, J. Paul, Directionality Guided Non-Linear Diffusion Compressed Sensing MR Image Reconstruction, Magnetic Resonance in Medicine,  2019 Dec;82(6):2326-2342.
  32. R. Zhou, Y. Yang, R.C. Mathew, J.M. Mugler, D.S. Weller, C.M. Kramer, A.H.A. Ahmed, M. Jacob, M. Salerno, Free Breathing Cine Imaging with Motion-Corrected Reconstruction at 3T Using SPiral Acquisition with Respiratory correction and Cardiac Self-gating (SPARCS), Magnetic Resonance in Medicine, 2019 Aug;82(2):706-720.
  33. S. Biswas, H. Aggarwal, M. Jacob, Dynamic MRI using model-based deep learning and SToRM priors: MoDL-SToRM, Magnetic Resonance in Medicine, 2019 Jul;82(1):485-494.
  34. Y. Hu, X. Liu, M. Jacob, A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery, IEEE Transactions on Medical Imaging, Volume: 38, Issue: 8, Aug. 2019, pp 1841 - 1851.
  35. Y. Mohsin, S. Poddar, M. Jacob, Free-breathing & ungated cardiac MRI using iterative SToRM (i-SToRM), IEEE Transactions on Medical Imaging, 2019 Oct;38(10):2303-2313.
  36. S. Poddar, Y. Mohsin, A. Deidra, B. Thattayilath, R. Ashwath, M. Jacob, Manifold recovery using kernel low-rank regularization: application to dynamic imaging, IEEE Transactions on Computational Imaging, Volume: 5, Issue: 3, Sept. 2019.
  37. A. Balachandrasekaran, M. Mani, M. Jacob, Calibration-free B0 correction of EPI data using structured low rank matrix recovery, IEEE Transactions on Medical Imaging, 2019 Apr;38(4):979-990.
  38. H.K. Aggarwal, M.P. Mani, M. Jacob, MoDL: Model Based Deep Learning Architecture for Inverse Problems, IEEE Transactions on Medical Imaging,Vol. 38, No. 2, February 2019.
  39. R.H. Blair, E.Eichen, M. Jacob, D. Gotz, Bootstrapping estimates of stability for clusters, observations and model selection, Computational Statistics, 34, pages349–372(2019).
  40. M. Mani, V. Magnotta, M. Jacob, A General Algorithm for Compensation of Trajectory Errors: Application to Radial Imaging,  Magnetic Resonance in Medicine, 2018 Oct;80(4):1605-1613
  41. G. Ongie, S. Biswas,  M. Jacob, Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples, IEEE Transactions on Signal Processing, Jan 2018, pp 236 - 250.
  42. I. Bhattacharya, J. Humston, C. Cheatum, M. Jacob,  Accelerating two-dimensional infrared spectroscopy while preserving lineshapes using GIRAF, Optics Letters, Nov 2017,4573-4576.
  43. A. Balachandrasekaran, V. Magnotta, M. Jacob, Recovery of damped exponentials using structured low rank matrix completion, IEEE Transactions on Medical Imaging, July 2017,  pp. 2087 - 2098
  44. Ongie, M. Jacob, GIRAF: A Fast Algorithm for Structured Low-Rank Matrix Recovery, IEEE Transactions on Computational Imaging, Dec 2017, pp. 535 - 550.
  45. C. Chen, A. Shah, X. Wu, M. Jacob, A Rapid 3D fat-water decomposition method using GlObally Optimal Surface Estimation (R-GOOSE), Magnetic Resonance in Medicine, July 2017, pp 2401-2407.
  46. I. Bhattacharya, M. Jacob, Compartmentalized low-rank recovery for high resolution lipid unsuppressed MRSI, Magnetic Resonance in Medicine, Oct 2017, pp 1267-1280.
  47. M. Mani, M. Jacob, D. Kelley, V. Magnotta,  Multishot sensitivity encoded diffusion data recovery using structured low rank matrix completion (MUSSELS), Magnetic Resonance in Medicine, Volume 78, Issue 2,2017  pp 494–507.
  48. J. Humston, I. Bhattacharya, M. Jacob, C. Cheatum, Compressively Sampled Two-Dimensional Infrared Spectroscopy That Preserves Lineshape Information, Journal of Physical Chemistry A, 2017, 121 (16), pp 3088–3093.
  49. S. Biswas, S. Dasgupta, R. Mudumbai, M. Jacob, Subspace aware recovery of low-rank and jointly sparse signals, IEEE Transactions on Computational Imaging, Volume: 3, Issue: 1, March 2017, pp 22-35
  50. H. Achanta, S. Biswas, S. Dasgupta, B. Dasgupta, M. Jacob, R. Mudumbai, The Spark of Fourier Matrices: Connections to Vanishing Sums and Coprimeness, Digital Signal Processing, Volume 61, February 2017, Pages 76–85. 
  51. Y. Mohsin, S.G Lingala, E. DiBella, M. Jacob, Accelerated dynamic MRI Using Patch Regularization for Implicit motion CompEnsation (PRICE),  Magnetic Resonance in Medicine,77:1238–1248, 2017. [Software]
  52. C. Liao, C. Ying, X. Cao, C. Song, H. He, M. Mani, M. Jacob, V. Magnotta, J. Zhong, Efficient Parallel Reconstruction for High Resolution Multi- shot Spiral Diffusion Data with Low Rank Constraints, Magnetic Resonance in Medicine, 2017 Mar;77(3):1359-1366 
  53. G. Ongie, M. Jacob, Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples, SIAM Journal on Imaging Sciences, 2016, pp. 1004–1041.
  54. S. Bhave, S.G Lingala, J. Newell, S. Nagle, M.Jacob, Blind Compressed Sensing Enables 3D Dynamic Free Breathing MR Imaging of Lung Volumes and Diaphragm Motion, Investigative Radiology, 2016 Jun;51(6):387-99.
  55. S. Poddar, M. Jacob, Dynamic MRI using Smoothness Regularization on Manifolds (SToRM), IEEE Transactions on Medical Imaging, vol 35, no 4, April 2016.
  56. S. Bhave, S.G. Lingala, C.P. Johnson, V.A. Magnotta, M. Jacob, "Accelerated whole-brain multi-parameter mapping using blind compressed sensing, Magnetic Resonance in Medicine, 2016 Mar;75(3):1175-86.
  57. S. Biswas, H. Achanta, M. Jacob, S. Dasgupta, R. Mudumbai, Recovery of Low Rank and Jointly Sparse Matrices with Two Sampling Matrices, IEEE Signal Processing Letters, 22 (11), pp 1945 - 1949, 2015. 
  58. G. Ongie, M. Jacob, Recovery of discontinuous signals using group sparse higher degree total variation, IEEE Signal Processing Letters, 22 (9), pp 1414 - 1418, 2015.
  59. Y. Mohsin, G. Ongie, M. Jacob, Iterative shrinkage algorithm for patch smoothness regularized medical image recovery, IEEE Trans. Medical Imaging, 34(12), pp 2417-28, 2015.
  60. S.G. Lingala, E. DiBella, M. Jacob, Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI, IEEE Transactions on Medical Imaging, 34(1):72-85, 2015. (supplementary videos)
  61. M. Mani, M. Jacob, V. Magnotta, J. Zhong, Fast iterative algorithm for the reconstruction of multi-shot non-Cartesian diffusion data, Magnetic Resonance in Medicine, 74 (4), pp 1086–1094, 2015.
  62. M. Mani, M. Jacob, A. Guidon, V. Magnotta, J. Zhong, Acceleration of high angular and spatial resolution diffusion imaging using compressed sensing with multichannel spiral data, Magnetic Resonance in Medicine, 73, pp 126–138, 2015.
  63. C. Cui, X. Wu, J. Newell, M. Jacob, Fat water decomposition using GlObally Optimal Surface Estimation (GOOSE) algorithm, Magnetic Resonance in Medicine, Volume 73, Issue 3, pages 1289–1299, 2015. [software] (ISMRM challenge: team name KongfuPanda)
  64. Y. Hu, G. Ongie, M. Jacob, Generalized Higher Degree Total Variation (HDTV) Regularization, IEEE Transactions on Image Processing, vol 23 (6), pp 2423-2435, 2014.  [software]
  65. Z. Yang, M. Jacob, Mean square optimal NUFFT approximation for efficient non-Cartesian MRI reconstructio , Journal of Magnetic Resonance, vol 242, pp 126-135, May 2014. [software]
  66. A. Daducci,E. Rodrıguez, M. Descoteaux, E. Garyfallidis, Y. Gur, Y. Lin, M. Mani, S. Merlet, M. Paquette, A. Manzanares, M. Reisert, P. Rodrigues, F. Sepehrband, E. Caruyer, J. Choupan, R. Deriche, M. Jacob, G. Menegaz, V. Prckovska, M. Rivera, Y. Wiaux, J. Thiran, Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI, IEEE Transactions on Medical Imaging, vol 33 (2), 384-399, 2014.
  67. S. Bhave, R. Eslami, M. Jacob, "A sparse spectral deconvolution algorithm for non-Cartesian MRSI", Magnetic Resonance in Medicine, pages 469–476, Feb 2014
  68. S. G. Lingala, M. Jacob, Blind Compressed Sensing Dynamic MRI, IEEE Transactions on Medical Imaging, pp 1132-1145, vol.32(6), June 2013. [software]
  69. S. G. Lingala, E.DiBella, G. Adluru, C. McGann,M. Jacob, Accelerating free breathing myocardial perfusion MRI using multi coil radial k-t SLR, Physics in Biology and Medicine, vol.58(20), pp. 7309-7327, Sep 2013. (link to supplementary material). [software]
  70. Z. Yang, M. Jacob," Nonlocal regularization of inverse problems: a unified variational framework", IEEE Trans. Image Processing, pp: 3192-203, vol.22(8), Aug 2013.
  71. Y. Hu, M. Jacob," Higher degree total variation (HDTV) regularization for image recovery", IEEE Trans. Image Processing, pp 2559-2571, Vol 21, No 5, May 2012. [software]
  72. Y. Hu, S. G. Lingala, M. Jacob, "A fast majorize-minimize algorithm for the recovery of sparse and low rank matrices", IEEE Trans. Image Processing, pp 742-753, Vol 21, No 2, Feb 2012.
  73. S. G. Lingala, Y. Hu, E. DiBella, M. Jacob, "Accelerated dynamic MRI exploiting sparsity and low-rank structure", IEEE Trans. Medical Imaging, pg 1042-1054, vol 30, May 2011. [software]
  74. K. Satyananda, M. Jacob, "Non-iterative regularized reconstruction algorithm for non-Cartesian MRI", Magnetic Resonance Imaging, Feb 2011.
  75. R. Eslami, M. Jacob, "Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors", IEEE Transactions on Medical Imaging, June 2010, vol 29, issue 6, pp 1297-309
  76. Y. Lin, T. Gu, C. Zhong, S. Kennedy, M. Jacob, J. Zhong, "High-resolution MRS in the presence of field inhomogeneity via intermolecular double-quantum coherences on a 3T whole-body scanner", Magnetic Resonance in Medicine, Jan 2010.
  77. M. Jacob, "Optimized least square non uniform fast Fourier transform (OLS-NUFFT)", IEEE Transactions of Signal Processing, vol. 57, issue 6, pp. 2165-2177, Feb 2009
  78. R. Frazin, M. Jacob, M. Wakin, H. Morgan, "Toward reconstruction of coronal mass ejection density from only three points of view", Astrophysical Journal, April 2009, pp 636-641.
  79. M. Jacob, B. Sutton, "Algebraic decomposition of water and fat in MRI", IEEE Transactions of Medical Imaging, Feb 2009, pp 173-84.
  80. M. Jacob, X. Zhu, A. Ebel, N.Schuff, and Z.P. Liang, "Improved model-based magnetic resonance spectroscopic imaging", IEEE Transactions of Medical Imaging, Oct 2007, 1305-18.
  81. I. Khalidov,D. Van De Ville,M.Jacob, F. Lazeyras, M. Unser, "BSLIM: Spectral localization by imaging with explicit B0 field inhomogeneity compensation", IEEE Transactions on Medical Imaging, Feb 2007, 990-1000.
  82. N. Cao, A. Neharoi, M.Jacob, "Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm", Optics Express,2007,pp 13695-13708
  83. M. Jacob, Y. Bresler, V. Toronov, X. Zhang, and A. Webb, "A level-set algorithm for the reconstruction of functional activation in near-infrared spectroscopic imaging", Journal of Biomedical Optics, Dec 2006, 064029.
  84. A. Amzallag, C. Vaillant, M.Jacob, M. Unser, J.Bednar, JD. Kahn, J.Dubochet, A. Stasiak, JH. Maddocks, "3D reconstruction and comparison of shapes of DNA minicircles observed by cryo-electron microscopy," Nucleic Acids Res, Sept. 2006.
  85. M. Jacob, T. Blu, C. Vaillant, J. Maddocks and M. Unser, "3-D shape estimation of DNA from stereo cryo-electron micro-graphs using a projection-steerable snake", IEEE Transactions on Image Processing, 214-27, Jan 2006.
  86. M. Jacob, M. Unser, "Design of steerable filters for feature detection using Canny-like criterion", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 8, pp. 1007-1019, Aug. 2004.
  87. E.Meijering, M. Jacob, J. C. F. Sarria, P. Steiner, H. Hirling and M. Unser, "Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy", Cytometry, vol. 58A, no. 2, pp. 167-176, April 2004.
  88. M. Jacob, T. Blu, M. Unser, "Efficient energies and algorithms for parametric snakes", IEEE Transactions on Image Processing, vol. 13, no. 9, pp. 1231-1244, Sep. 2004.
  89. M. Jacob, T. Blu, M. Unser, "Sampling of Periodic Signals: A Quantitative Error Analysis", IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1153-1159, May 2002.
  90. M. Jacob, T. Blu, M. Unser, "An Exact Method for Computing the Area Moments of Wavelet and Spline Curves," IEEE Transactions on Pattern Analysis and Machine Intelligence", vol. 23, no. 6, pp. 633-642, June 2001.

1. M. Jacob, Q. Zou, "Deep generative modeling of smooth image manifolds for multidimensional imaging". Provisional US patent 63/136,462.

123. Y. Chen, J.H. Holmes, C.A. Corum, V.A. Magnotta, and M. Jacob, Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI, ISBI, 2023.

122. J. Kettelkamp, L. Romanin, D. Piccini, S. Priya, and M. Jacob, Motion Compensated Unsupervised Deep Learning for 5D MR, MICCAI 2023

121. A. Pramanik, M. Jacob, Accelerated Parallel MRI using memory efficient and robust monotone operator learning (MOL), ISBI 2023 

120. A. Pramanik, M. Jacob, Joint Calibrationless Reconstruction and Segmentation of Parallel MRI., ECCV Workshop 2022.

119. A. Pramanik, M. Jacob, Improved Model Based Deep Learning Using Monotone Operator Learning (MOL), ISBI 2022.

118. Q. Zou, L. Torres, S. Fain, M. Jacob, Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM), ISBI 2022.

117. Q. Zou, A. Ahmed, P. Nagpal, S. Priya, R. Schulte, M. Jacob, Joint alignment and reconstruction of multislice dynamic MRI using variational manifold learning, ISBI 2022.

116. A. Ahmed, P. Nagpal, S. Kruger, M. Jacob, Dynamic Imaging Using Deep Bilinear Unsupervised Learning (DEBLUR), ISBI 2021. 

115. Q. Zou, A. Ahmed, P. Nagpal, S. Kruger, M. Jacob, Deep Generative SToRM model for dynamic imaging, ISBI 201

114. A Pramanik, M. Jacob, Reconstruction and Segmentation of Parallel MR Data using Image Domain Deep-SLR, ISBI 2021

113. H.K. Aggarwal, A. Pramanik, M. Jacob.  ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning, IEEE ICASSP, 2021

112. A. Pramanik, H. K. Aggarwal, M. Jacob,  Calibrationless Parallel MRI using Model-Based Deep Learning (C-MODL), IEEE ISBI 2020

111. Q. Zou, M. Jacob, Sampling of Surfaces and Learning Functions in High Dimensions, ICASSP 2020

110. A. Pramanik, H. K. Aggarwal, M. Jacob. Off-the-grid Model-Based Deep Learning (O-MODL), ISBI 2019

109. H.K. Aggarwal, M. P. Mani, M. Jacob, Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS), ISBI 2019

108. Y. Mohsin, S. Poddar, B. Thattayilath, D. Ansah, and M. Jacob, Navigator-less manifold recovery of cardiac data using iterative SToRM, ISMRM-ESMRMB Conference, Paris, France 2018.

107. S. Poddar, M. Jacob, Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained, ICASSP 2018

106. S. Poddar, M. Jacob, Clustering of Data with Missing Entries, ICASSP 2018.

105. S. Biswas, H.K. Aggarwal, S. Poddar, and M. Jacob, Model-based free-breathing cardiac MRI reconstruction using deep learned & STORM priors: MoDL-STORM, ICASSP 2018.

104. S. Poddar, M. Jacob, Recovery of Point Clouds on Surfaces: Application to Image Reconstruction, ISBI 2018.

103. Y. Hu, X. Liu, M. Jacob, Adaptive structured low-rank algorithm for MR image recovery, ISBI 2018.

102. H.K. Aggarwal, M. Mani, and M. Jacob, Model Based Image Reconstruction using Deep Learned Priors (MoDL), ISBI 2018.

101. I. Bhattacharya, M. Jacob, Denoising and Deinterleaving of EPSI Data using Structured low-Rank Matrix Recovery, ISBI 2018

100. H.K. Aggarwal, M. Mani, and M. Jacob, MoDL: Model based Deep Learning Architecture for Image Recovery with Prior Information, ISMRM 2018

99. Yasir Mohsin , Sunrita Poddar , Bijoy Thattaliyath , Ansah Diedra, Xiaoming B , Dingxin Wang and Mathews Jacob, Calibration-free manifold recovery for free breathing & ungated Cardiac MR Imaging, ISMRM workshop 2017, New York City, NY, USA.

98. A. Parekh, S. Poddar, X. Bi, D. Wang, M. Jacob, Free-breathing and Ungated cine MRI using joint smoothness regularization on image and patch manifolds, ISMRM 2017, Honolulu, USA.

97. I. Bhattacharya, R. Noeske, B. Yang, R. Schulte, M. Jacob, High Resolution MRSI using compartmental low rank algorithm: demonstration using undersampled EPSI, Proc. ISMRM 2017, Honolulu, USA.

96. M. Mani , S. Poddar , V. Magnotta, M. Jacob, Trajectory Correction of Radial Data Using MUSSELS, Proc. ISMRM, 2017.

95. C. Cui, A. Shah, X. Wu, M. Jacob, A novel method for Rapid 3D fat and water decomposition using a GlObally Optimal multi-surface Estimation (R-GOOSE), ISMRM 2017, Honolulu, USA. 

94. M. Mani , A. Guidon , B. Yang , V. Magnotta, M. Jacob, Self-Calibrated Non-Cartesian Multi-shot Diffusion Imaging, Proc. ISMRM, 2017.

93. M. Mani , M. Jacob , B. Yang , V. Magnotta, Comprehensive Correction of Motion and Nyquist Ghost Artifacts for Multi-shot Diffusion Imaging, Proc. ISMRM, 2017.

92. S. Poddar, X. Bi, D. Wang, M. Jacob, A Calibration-less approach to free-breathing ungated cardiac MRI, Proc. ISMRM 2017, Honolulu, USA.

91. M. Mani , M. Jacob , B. Yang , V. Magnotta,  High Resolution Multi-shot Diffusion Imaging at 7T without Navigators, Proc. ISMRM, 2017.

90. A. Balachandrasekaran, M. Jacob, Novel annihilation filter framework for accelerated parameter mapping, Proc. ISMRM 2017, Honolulu, Hawaii.

89. M. Mani , M. Jacob , B. Yang , V. Magnotta, Comparison of MUSSELS vs MUSE for Multi-Shot Diffusion Imaging, Proc. ISMRM, 2017.

88. A. Balachandrasekaran, G. Ongie and M. Jacob, Continuous domain compressed sensing (CD-CS): application to accelerated dynamic MRI,  ISMRM 2017, Honolulu, Hawaii.

87. A. Balachandrasekaran, M. Jacob, Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series, IEEE ISBI, Melbourne, Australia, 2017.

86. C. Cushing, I. Bhattacharya, R. Noeske, W. Kearney, B. Yang, M. Jacob, V. Magnotta, Comparison of Undersampling Schemes for in-vivo COSY and j-resolved Spectroscopy at 7T, 58th Experimental Nuclear Magnetic Resonance Conference, Asilomar Conference Grounds, Pacific Grove, California.

85. M. Mani, V. Magnotta, D. Kelley, M. Jacob, Comprehensive reconstruction of multishot multichannel diffusion MRI data using MUSSELS, Engineering in Biology and Medicine Conference, 2016.

84. G. Ongie, S. Biswas, M. Jacob, Structured matrix recovery of piecewise constant signals with performance guarantees, International Conference on Image Processing, 2016.

83. A. Balachandrasekaran, G. Ongie, M. Jacob, Accelerated dynamic MRI using structured matrix completion,  International Conference on Image Processing, 2016.

82. S. Poddar, M. Jacob, Convex clustering and recovery of partially observed data,  International Conference on Image Processing, 2016.

81. Y. Hu, M. Jacob, Multiple degree total variation for image restoration, International Conference on Image Processing, 2016

80. M. Mani, V. Magnotta, D. Kelley, M. Jacob, Comprehensive reconstruction of multishot multichannel diffusion data using MUSSELS, Annual Conference of IEEE Engineering in Biology and Medicine Society (EMBC), 2016. 

79. I. Bhattacharya, M. Jacob, Low-rank based compartmentalized reconstruction algorithm for high resolution MRSI without lipid suppression methods, International Society for Magnetic Resonance in Medicine (ISMRM), Singapore, May 2016.

78. S Bhave, S Lingala, J Newell, S Nagle, M Jacob, "Clinical Evaluation of Respiratory Mechanics using accelerated dynamic 3D free breathing MRI reconstruction". International Society for Magnetic Resonance in Medicine (ISMRM), Singapore, May 2016.

77. H Heo, S Bhave, M Jacob, J Zhou, "Blind Compressed sensing based ultrafast Chemical Exhcange Saturation Transfer (CEST) Imaging", International Society for Magnetic Resonance in Medicine (ISMRM), Singapore, May 2016.

76. M. Mani, M. Jacob, D. Kelley, V. Magnotta. Under-sampled multi-shot diffusion data recovery using total variation regularized structured low-rank matrix completion (TV-MUSSELS). IInternational Society for Magnetic Resonance in Medicine; 2016.

75. M. Mani, M. Jacob, D. Kelley, V. Magnotta. Multi-shot sensitivity encoded diffusion data recovery using structured low-rank matrix completion (MUSSELS), International Society for Magnetic Resonance in Medicine; 2016.

74. C. Chen, A. Shah, X. Wu, C. Cushing, V. Magnotta. A Fast and Globally Optimal 3-D Graph Search Algorithm for Phase Unwrapping in MRI with Applications in Quantitative Susceptibility Mapping (QSM), International Society for Magnetic Resonance in Medicine; 2016.

73. I. Bhattacharya, M. Jacob, Compartmentalized low-rank regularization with orthogonality constraints for high resolution MRSI, ISBI, Prague, Czech Republic, 2016.

72. I. Bhattacharya, M. Jacob, Fast Data Acquisition and Reconstruction Methods for lipid unsuppressed Metabolic imaging, ISMRM workshop on Data Sampling and Image Reconstruction, Sedona, Arizona, Jan 2016.

71. G. Ongie, M. Jacob, A fast algorithm for structured low rank matrix recovery with applications to undersampled MRI reconstruction, ISBI, Prague, Czech Republic, 2016.

70. S.G. Lingala, Y. Mohsin, S. Bhave, X. Miao, Y.Guo, K.S. Nayak, E. DiBella, M. Jacob, "Data-adaptive reconstruction algorithms for accelerated dynamic MRI: an open-source MATLAB package." ISMRM workshop on Data Sampling and Image Reconstruction, Sedona, Arizona,Jan 2016.

69. S. Biswas, S. Dasgupta, M. Jacob, R. Mudumbai, Spark under 2 D Fourier Sampling, EUSIPCO, Nice, France, 2015.

68. G. Ongie, M. Jacob, Recovery of piecewise smooth images from few Fourier samples, Sampling Theory and Applications (SampTA), Washington D.C., 2015.

67. Y. Mohsin, S.G. Lingala,E Dibella, M Jacob, Motion compensated free breathing myo-cardial perfusion MRI using iterative non-local shrinkage, ISMRM, Toronto, Canada, 2015

66. S. Bhave, S.G. Lingala, A Comellas, J Newell, M Jacob, Dynamic 3D- MRI of the whole lung using constrained reconstruction with learned dictionaries, ISMRM, Toronto, Canada, 2015

65. S. Bhave, S.G. Lingala, C.P. Johnson, V.A. Magnotta, M. Jacob, Whole brain multi-parameter mapping using dictionary learning, ISMRM Toronto Canada, 2015.

64. I. Bhattacharya, M. Jacob, High Resolution 1H MRSI Without Lipid Suppression at short echo times using variable density spirals, ISMRM, Toronto, Canada, 2015.

63. S. Poddar, J. Newell, M. Jacob, Free breathing CINE with Low Rank aided Manifold smoothness Regularization, ISMRM, Toronto, Canada, 2015.

62. M. Mani, M. Jacob, V. Magnotta, Diffusion Imaging Of Head And Neck At High Angular And Spatial Resolution Using Multi-Shot Spirals, ISMRM, Toronto, Canada, 2015.

61. G. Ongie, M. Jacob, Super-resolution MRI using finite rate of innovation curves, IEEE ISBI, New York City, USA, 2015.

60. A. Balachandrasekaran, M. Jacob, Accelerated dynamic MRI using self expressiveness prior, IEEE ISBI, New York City, USA, 2015.

59. S. Poddar, M. Jacob, Low rank recovery with manifold smoothness prior: theory and application to accelerated MRI, IEEE ISBI, New York City, USA, 2015.

58. S. Biswas, S. Poddar, S. Dasgupta, R. Mudumbai, M. Jacob, Two step recovery of jointly sparse and low-rank matrices: theoretical guarantees, IEEE ISBI 2015, in press

57. H.K. Achanta, S. Dasgupta, M. Jacob, B.N. Dasgupta, R. Mudumbai, Coprime conditions for Fourier Sampling for Sparse recovery, A Coruna, Spain, 2014.

56. S. Biswas, S. Poddar, S. Dasgupta, R. Mudumbai, M. Jacob, Subspace based low rank and joint sparse matrix recovery, Asilomar, Pacific Grove, USA, 2014

55. S. Bhave, S. G. Lingala, M. Jacob, A variable splitting based algortihm for Fast Multi-coil Blind Compressed sensing MRI Reconstruction, EMBC, Chicago, USA, 2014.

54. Y. Mohsin, G. Ongie, M.Jacob, "Accelerated MRI using iterative non-local shrinkage", EMBC, Chicago, USA, 2014. 

53. Y. Mohsin, Z. Yang, S.G.Lingala, M.Jacob, "Motion compensated dynamic imaging without explicit motion estimation", ISMRM, Milan, Italy, 2014. 

52. M. Mani, M. Jacob, V. Magnotta, M.Jacob, "Fast motion compensated ODF reconstruction from undersampled multichannel non-Cartesian MRI diffusion imaging data", ISMRM, Milan, Italy, 2014. 

51. C. Cui, X. Wu, J. Newell, M. Jacob, "3D GlObally Optimal Surface Estimation (3D-GOOSE) algorithm for fat and water separation", ISMRM, Milan, Italy, 2014.

50. S. Poddar, S.G. Lingala, M. Jacob, "Real Time Cardiac MRI using Manifold Sensing", ISMRM, Milan, Italy, 2014.

49. S.G. Lingala, Y. Mohsin, J. Newell, J. Sieren, D. Wang, D. Thedens, M. Jacob, "Towards 3D dynamic MRI of the lung using blind compressed sensing", ISMRM, Milan, Italy, 2014.

48. S. Poddar, S.G. Lingala, M. Jacob, "Joint recovery of undersampled signals on a manifold: application to free breathing MRI", ICASSP, Florence, Italy, 2014.

47. G. Ongie, Y. Hu, M. Jacob, Higher Degree Total Variation for 3-D Image Recovery, ISBI 2014, China.

46. S. Bhave, Jinsuh Kim, C. P. Johnson, M. Jacob, Accelerated CEST MRI using Compressive Sensing and Multi-shot Spiral Acquisitions, ISMRM, Salt Lake city, Utah, April 2013

45. S. G. Lingala, E.DiBella, M. Jacob, Accelerated myocardial perfusion MRI using motion compensated compressed sensing (MC-CS), ISMRM, Salt lake city, Utah, April 2013.

44. S. G. Lingala, M. Jacob, Blind compressed sensing with sparse dictionaries for accelerated dynamic MRI, IEEE ISBI, San Francisco, April 2013.

43. S. G. Lingala, M. Jacob, A blind compressed sensing framework for dynamic MRI, IEEE ISBI, Barcelona, May 2012

42. Y. Hu, M. Jacob, Improved higher degree total variation regularization, IEEE ISBI, Barcelona, May 2012

41. Z. Yang, M. Jacob, Robust non-local regularization framework for motion compensated dynamic imaging without explicit motion estmation, IEEE ISBI, Barcelona, May 2012

40. M. Mani, M. Jacob, A. Guidon, C. Liu, A. Song, V. Magnotta, J. Zhong, Acceleration of high angular and spatial resolution diffusion imaging using compressive sensing, IEEE ISBI, Barcelona, May 2012

39. M. Mani, M. Jacob, A. Guidon, V. Magnotta, J. Zhong, Accelerating non-Cartesian SENSE for large coil arrays, application to motion compensation in multi-shot DWI, IEEE ISBI, Barcelona, May 2012

38. R. Eslami, M. Jacob, "A sparse reconstruction algorithm for parallel spiral MR spectroscopic imaging", IEEE ISBI, Chicago, April 2011.

37. S.G. Lingala, Y. Hu, E. DiBella, M. Jacob, "Accelerated first pass cardiac perfusion MRI using improved k-t SLR", IEEE ISBI, Chicago, April 2011.

36. Z. Yang, M. Jacob, "A unified energy minimization framework for nonlocal regularization", IEEE ISBI, Chicago", April 2011.

35. S.G. Lingala, M. Nadar, C. Chefd'hotel, Li Zhang, M. Jacob, "Unified reconstruction and motion estimation in cardiac perfusion MRI", IEEE ISBI, Chicago, April 2011.

34. Y. Hu, M. Jacob, "Image recovery using improved total variation regularization", IEEE ISBI, Chicago, April 2011.

33. S.G. Lingala, Y. Hu, M. Jacob, "Real-time cardiac MRI using low-rank and sparsity penalties", IEEE ISBI, Rotterdam", April 2010.

32. K. Satyananda, M. Jacob, "A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI, IEEE ISBI, Rotterdam", April 2010.

31. R. Eslami, M. Jacob, "Spatial Spectral Modeling for Robust MRSI, IEEE EMBS, Minneapolis", Sept 2009.

30. R. Eslami, M. Jacob, "Reduction of distortions in MRSI using a new signal model", IEEE international symposium on biomedical imaging, 2009.

29. Z. Yang, M. Jacob, "Efficient NUFFT algorithm for non-Cartesian MRI reconstruction",, IEEE international symposium on biomedical imaging, 2009.

28. M. Jacob, "Optimized non-uniform fast Fourier transform (NUFFT) for iterative tomographic reconstruction", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2009.

27. R. Eslami, M. Jacob, "Correction of B0 inhomogeneity distortion in magnetic resonance spectroscopic imaging", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2009.

26. M.Jacob, H. Le-houllier, S. Bora, S. McAleavey, D. Dalecki, J. McDonough,"The use of speckle tracking for the recovery of displacement and velocity information from sequences of ultrasound images of the tongue", International Seminar on Speech Production, Proceedings of ISSP 2008.

25. R.Shankar, T. Gu, J. Zhong, M. Jacob, "Improved IDQC reconstruction for inhomogeneity corrected MR spectroscopy", IEEE International Symposium on Biomedical Imaging, Proceedings of ISBI 2008.

24. M. Jacob, B. Sutton, "Non-iterative decomposition of fat and water", IEEE International Symposium on Biomedical Imaging, Proceedings of ISBI 2007.

23. R. Morrisson, M. Jacob, M. Do, "Multichannel estimation of coil sensitivities in parallel MRI", IEEE International Symposium on Biomedical Imaging, Proceedings of ISBI 2007

22. M. Jacob, B. Sutton, "Non-iterative decomposition of fat and water using chemical shift",Proceedings of the ISMRM, 2007, in press

21. M. Jacob, V. Toronov, A. Webb and Y. Bresler, "A new level-set algorithm for the diffuse optical imaging of the brain", Proceedings of the SPIE: Photonics West (2006)

20. M. Jacob, B. Sutton, J. Haldar, Z.P. Liang, "On Model Based Spectroscopic Imaging", Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI'06).

19. M. Jacob, V. Toronov, Y. Bresler, X. Zhang, A. Webb, "Reconstruction of functional activations in diffuse optical imaging", Proceedings of the ISBI 2006.

18. J. Haldar, M. Jacob, A. Ebel, X. Zhu, N. Schuff, B. Sutton, Z.P. Liang, "Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior",Proceedings of the IEEE International Symposium on Biomedical Imaging, 2006

17. M. Jacob, B. Sutton, J. Haldar, Z.P. Liang, "Improved spectroscopic imaging using echo-planar scans and sparse reconstruction", Proceedings of the ISMRM, 2006.

16. J. Haldar, M. Jacob, A. Ebel, X. Zhu, N. Schuff, B. Sutton, Z.P. Liang, "Constrained spectroscopic imaging with hard and soft anatomical boundary constraints", Proceedings of the ISMRM, 2006.

15. I. Khalidov, D. Van De Ville, M.Jacob, F. Lazeyras, M. Unser, "Improved MRSI with Field In-homogeneity Compensation," Proceedings of the SPIE: International Symposium on Medical Imaging: Image Processing, 2006.

14. F. Aguet, M. Jacob, M. Unser, "Three-Dimensional Feature Detection Using Optimal Steerable Filters", Proceedings of the 2005 IEEE International Conference on Image Processing (ICIP'05), Genova, Italy, September 11-14, 2005, pp. II-1158-II-1161 .

13. D. Xu, M. Jacob, Z. P. Liang, "Optimal sampling of k-space on Cartesian grids for parallel imaging", Proceedings of ISMRM 2005, Miami, Florida

12. D. Xu, L. Ying, M. Jacob, Z. P. Liang, "Optimizing SENSE for Dynamic Imaging", Proceedings of ISMRM 2005, Miami, Florida.

11. M. Jacob, T. Deller, X. Zhu, Z.P. Liang, "High-resolution spectroscopic imaging using a deformable spatial spectral model", Proceedings of ISMRM 2005,

10. M. Jacob, D. Xu, Z.P. Liang, "Optimal Selection of Phase Encodings in Parallel MR Imaging", Second International Workshop on Parallel MRI, ETH Zurich, Switzerland, 15-17 October 2004

9. M. Jacob, T. Blu, M. Unser, "Shape estimation of 3-D DNA molecules from stereo cryo-electron micro-graphs", Accepted for publication at Proceedings of the International Conference on Image Processing, Singapore, October 2004.

8. E. Meijering, M. Jacob, J-C. F. Sarria, M. Unser, "Neurite Tracing in Fluorescence Microscopy Images using Ridge Filtering and Graph Searching: Principles and Validation", Proceedings of ISBI, 2004, pp. 1219-1222.

7. E. Meijering, M. Jacob, J-C. F. Sarria, M. Unser, "A Novel Approach for Neurite Tracing and Analysis in Fluorescence Microscopy Images", Proceedings of the Fifth IASTED International Conference on Signal and Image Processing, August 13-15, 2003, Honolulu, USA , pp. 491-495.

6. M. Jacob, M. Unser, "Optimal steerable filters for feature detection", Proceedings of the International Conference on Image Processing 2003, September 14-17.

5. M. Jacob, T. Blu, M. Unser, "3-D reconstruction of DNA filaments from stereo cryo-electron micrographs", Proceedings of the First 2002 ISBI 2002, vol.II, pp. 597-600.

4. M. Feilner, M. Jacob, M. Unser, "Orthogonal Quincunx Wavelets with Fractional Orders", Proceedings of the 2001 IEEE International Conference on Image Processing, October 7-10, 2001, vol. I, pp. 606-609.

3. M. Jacob, T. Blu, M. Unser, "A Unifying Approach and Interface for Spline-Based Snakes", Proceedings of the SPIE International Symposium on Medical Imaging: Image Processing, February 17-22, 2001, vol. 4322, Part I, pp. 340-347.

2. M. Jacob, T. Blu, M. Unser, "An Error Analysis for the Sampling of Periodic Signals", Proceedings of the Fourth International Conference on Sampling Theory and Applications (SampTA'01), 2001, pp. 45-48.

1. M. Jacob, T. Blu, M. Unser, "Exact Computation of Area Moments for Spline and Wavelet Curves", Proceedings of the Fifteenth International Conference on Pattern Recognition (ICPR'00), Barcelona, Spain, September 3-8, 2000, vol. III, pp. 131-134.

9. Q. Zou, Sampling and recovery on parametric manifolds,  PhD Thesis, Applied Mathematical and Computational Sciences, University of Iowa, 2021.

8. S. Poddar, PhD Thesis, Joint recovery of high dimensional signals from noisy and undersampled measurements using fusion penalties, Department of Electrical and Computer Engineering, University of Iowa, 2018.

7. I. Bhattacharya, Pushing the limits of spectroscopic imaging using low-rank based reconstruction, PhD Thesis, Department of Electrical and Computer Engineering, University of Iowa, 2018.

6. C. Chen, MRI fat-water separation using graph search based methods, PhD Thesis, Department of Electrical and Computer Engineering, University of Iowa, 2016.

5. G. Ongie, Off the grid compressive sensing, PhD Thesis, Applied Mathematical and Computational Sciences, University of Iowa, 2016. Recipient of the D.C. Spriestersbach Dissertation Prize, University of Iowa, 2018

4. Sampada Bhave, Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications, PhD Thesis, Department of Electrical and Computer Engineering, University of Iowa, 2016.

3. Sajan Goud, Novel adaptive reconstruction schemes for accelerated myocardial perfusion magnetic resonance imaging, PhD Thesis, Department of Biomedical Engineering, University of Iowa, 2014. Recipient of the Rex Montgomery Dissertation Prize, University of Iowa, 2015

2. Zhili Yang, Accelerated MRI using non-local regularization , Department of Electrical and Computer Engineering, University of Rochester, 2014

1. Yue Hu, Novel Compressed Sensing Algorithms with Applications to Magnetic Resonance Imaging, Department of Electrical and Computer Engineering, University of Rochester, 2013

3. Xuan Zhou, A fast algorithm for general matrix factorization, M.S. Thesis, Department of Electrical and Computer Engineering, University of Iowa, 2013.

2. Kashyap, Satyananda, A fast and accurate algorithm for regularized reconstruction of non-Cartesian MRI, M.S thesis, Department of Electrical and Computer Engineering, University of Rochester, 2010.

1. Souabh Bora, Speckle tracking for recovery of displacement and velocity information from sequences of ultrasound images of the tongue, M.S thesis, Department of Electrical and Computer Engineering, University of Rochester, 2009.

M. Jacob, S. Lingala, and M. Mani, Review on Dictionary, Structured Low-Rank and Manifold learning based reconstruction, (Book Chapter), To appear in MR Image Reconstruction.

S.G. Lingala, M. Jacob, "Accelerated Dynamic MRI using adaptive signal models", (Book Chapter), In MRI: Physics, Image Reconstruction, and Analysis, Editors: A. Majumdar, R.K. Ward, CRC Press 2015.