Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images E Meijering, M Jacob, JCF Sarria, P Steiner, H Hirling, M Unser Cytometry Part A: the journal of the International Society for Analytical …, 2004 | 1701 | 2004 |
MoDL: Model-based deep learning architecture for inverse problems HK Aggarwal, MP Mani, M Jacob IEEE transactions on medical imaging 38 (2), 394-405, 2018 | 1091 | 2018 |
Accelerated dynamic MRI exploiting sparsity and low-rank structure: kt SLR SG Lingala, Y Hu, E DiBella, M Jacob IEEE transactions on medical imaging 30 (5), 1042-1054, 2011 | 774 | 2011 |
Design of steerable filters for feature detection using canny-like criteria M Jacob, M Unser IEEE transactions on pattern analysis and machine intelligence 26 (8), 1007-1019, 2004 | 538 | 2004 |
Blind compressive sensing dynamic MRI SG Lingala, M Jacob IEEE transactions on medical imaging 32 (6), 1132-1145, 2013 | 275 | 2013 |
Efficient energies and algorithms for parametric snakes M Jacob, T Blu, M Unser IEEE transactions on image processing 13 (9), 1231-1244, 2004 | 271 | 2004 |
Higher degree total variation (HDTV) regularization for image recovery Y Hu, M Jacob IEEE Transactions on Image Processing 21 (5), 2559-2571, 2012 | 232 | 2012 |
Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI A Daducci, EJ Canales-Rodrı, M Descoteaux, E Garyfallidis, Y Gur, ... IEEE transactions on medical imaging 33 (2), 384-399, 2013 | 196 | 2013 |
Multi‐shot sensitivity‐encoded diffusion data recovery using structured low‐rank matrix completion (MUSSELS) M Mani, M Jacob, D Kelley, V Magnotta Magnetic resonance in medicine 78 (2), 494-507, 2017 | 188 | 2017 |
Off-the-grid recovery of piecewise constant images from few Fourier samples G Ongie, M Jacob SIAM Journal on Imaging Sciences 9 (3), 1004-1041, 2016 | 148 | 2016 |
Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm N Cao, A Nehorai, M Jacob Optics express 15 (21), 13695-13708, 2007 | 133 | 2007 |
Dynamic MRI using smoothness regularization on manifolds (SToRM) S Poddar, M Jacob IEEE transactions on medical imaging 35 (4), 1106-1115, 2015 | 118 | 2015 |
Dynamic MRI using model‐based deep learning and SToRM priors: MoDL‐SToRM S Biswas, HK Aggarwal, M Jacob Magnetic resonance in medicine 82 (1), 485-494, 2019 | 99 | 2019 |
Nonlocal regularization of inverse problems: a unified variational framework Z Yang, M Jacob IEEE Transactions on Image Processing 22 (8), 3192-3203, 2012 | 96 | 2012 |
A fast algorithm for convolutional structured low-rank matrix recovery G Ongie, M Jacob IEEE transactions on computational imaging 3 (4), 535-550, 2017 | 95 | 2017 |
Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI SG Lingala, E DiBella, M Jacob IEEE transactions on medical imaging 34 (1), 72-85, 2014 | 95 | 2014 |
J-MoDL: Joint model-based deep learning for optimized sampling and reconstruction HK Aggarwal, M Jacob IEEE journal of selected topics in signal processing 14 (6), 1151-1162, 2020 | 92 | 2020 |
Accelerated whole‐brain multi‐parameter mapping using blind compressed sensing S Bhave, SG Lingala, CP Johnson, VA Magnotta, M Jacob Magnetic resonance in medicine 75 (3), 1175-1186, 2016 | 85* | 2016 |
Generalized higher degree total variation (HDTV) regularization Y Hu, G Ongie, S Ramani, M Jacob IEEE transactions on image processing 23 (6), 2423-2435, 2014 | 76 | 2014 |
Improving the speed of MRI with artificial intelligence PM Johnson, MP Recht, F Knoll Seminars in musculoskeletal radiology 24 (01), 012-020, 2020 | 66 | 2020 |