| Magnetic resonance image reconstruction from highly undersampled K-Space data using dictionary learning S Ravishankar M.S. Thesis, 2011 | 1184* | 2011 |
| Learning sparsifying transforms S Ravishankar, Y Bresler IEEE Transactions on Signal Processing 61 (5), 1072-1086, 2012 | 400 | 2012 |
| Automated feature extraction for early detection of diabetic retinopathy in fundus images S Ravishankar, A Jain, A Mittal Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009 | 364 | 2009 |
| Image reconstruction: From sparsity to data-adaptive methods and machine learning S Ravishankar, JC Ye, JA Fessler Proceedings of the IEEE 108 (1), 86-109, 2019 | 282 | 2019 |
| Structured overcomplete sparsifying transform learning with convergence guarantees and applications B Wen, S Ravishankar, Y Bresler International Journal of Computer Vision 114 (2-3), 137–167, 2015 | 178 | 2015 |
| Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging S Ravishankar, Y Bresler SIAM Journal on Imaging Sciences 8 (4), 2519–2557, 2015 | 145 | 2015 |
| l_0 Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees S Ravishankar, Y Bresler IEEE Transactions on Signal Processing 63 (9), 2389-2404, 2015 | 117 | 2015 |
| Online Sparsifying Transform Learning – Part I: Algorithms S Ravishankar, B Wen, Y Bresler IEEE Journal of Selected Topics in Signal Processing 9 (4), 625-636, 2015 | 114 | 2015 |
| PWLS-ULTRA: An efficient clustering and learning-based approach for low-dose 3D CT image reconstruction X Zheng, S Ravishankar, Y Long, JA Fessler IEEE transactions on medical imaging 37 (6), 1498-1510, 2018 | 108 | 2018 |
| Ranging and light field imaging with transparent photodetectors MB Lien, CH Liu, IY Chun, S Ravishankar, H Nien, M Zhou, JA Fessler, ... Nature Photonics 14 (3), 143-148, 2020 | 105 | 2020 |
| Multi-stage contour based detection of deformable objects S Ravishankar, A Jain, A Mittal Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 93 | 2008 |
| Sparsifying transform learning for compressed sensing MRI S Ravishankar, Y Bresler 2013 IEEE 10th international symposium on biomedical imaging, 17-20, 2013 | 88 | 2013 |
| Adaptive sampling design for compressed sensing MRI S Ravishankar, Y Bresler 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 85 | 2011 |
| Low-rank and adaptive sparse signal (LASSI) models for highly accelerated dynamic imaging S Ravishankar, BE Moore, RR Nadakuditi, JA Fessler IEEE transactions on medical imaging 36 (5), 1116-1128, 2017 | 80 | 2017 |
| Learning doubly sparse transforms for images S Ravishankar, Y Bresler IEEE Trans. Image Process. 22 (12), 4598-4612, 2013 | 78 | 2013 |
| Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing S Ravishankar, Y Bresler IEEE Transactions on Computational Imaging 2 (3), 294-309, 2016 | 76 | 2016 |
| Transform learning for magnetic resonance image reconstruction: From model-based learning to building neural networks B Wen, S Ravishankar, L Pfister, Y Bresler IEEE Signal Processing Magazine 37 (1), 41-53, 2020 | 68 | 2020 |
| Learning overcomplete sparsifying transforms for signal processing S Ravishankar, Y Bresler 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 66 | 2013 |
| Closed-form solutions within sparsifying transform learning S Ravishankar, Y Bresler 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 65 | 2013 |
| Online sparsifying transform learning: Part II: Convergence analysis S Ravishankar, Y Bresler IEEE Journal of Selected Topics in Signal Processing 9 (4), 637-646, 2015 | 61 | 2015 |
