| 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 | 60 | 2020 |
| Joint adaptive sparsity and low-rankness on the fly: An online tensor reconstruction scheme for video denoising B Wen, Y Li, L Pfister, Y Bresler Proceedings of the IEEE international conference on computer vision, 241-250, 2017 | 52 | 2017 |
| Model-based iterative tomographic reconstruction with adaptive sparsifying transforms L Pfister, Y Bresler Computational Imaging XII 9020, 125-135, 2014 | 34 | 2014 |
| Tomographic reconstruction with adaptive sparsifying transforms L Pfister, Y Bresler 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 32 | 2014 |
| Highly accelerated imaging and image reconstruction using adaptive sparsifying transforms Y Bresler, LA Pfister, S Ravishankar US Patent 9,734,601, 2017 | 31 | 2017 |
| Learning filter bank sparsifying transforms L Pfister, Y Bresler IEEE Transactions on Signal Processing 67 (2), 504-519, 2019 | 27 | 2019 |
| Learning sparsifying filter banks L Pfister, Y Bresler Wavelets and Sparsity XVI 9597, 959703, 2015 | 24 | 2015 |
| Deep learning-based protocols to enhance infrared imaging systems K Falahkheirkhah, K Yeh, S Mittal, L Pfister, R Bhargava Chemometrics and Intelligent Laboratory Systems 217, 104390, 2021 | 20 | 2021 |
| Adaptive Sparsifying Transforms for Iterative Tomographic Reconstruction L Pfister, Y Bresler The Third International Conference on Image Formation in X-Ray Computed …, 2014 | 17 | 2014 |
| Scientific computational imaging code (SCICO) T Balke, F Davis Rivera, C Garcia-Cardona, S Majee, MT McCann, ... Journal of Open Source Software 7 (LA-UR-22-28555), 2022 | 14 | 2022 |
| Tomographic reconstruction with adaptive sparsifying transforms L Pfister University of Illinois at Urbana-Champaign, 2013 | 12 | 2013 |
| Resolution limit in infrared chemical imaging Y Phal, L Pfister, PS Carney, R Bhargava The Journal of Physical Chemistry C 126 (23), 9777-9783, 2022 | 11 | 2022 |
| Automatic parameter tuning for image denoising with learned sparsifying transforms L Pfister, Y Bresler 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
| Bounding multivariate trigonometric polynomials L Pfister, Y Bresler IEEE Transactions on Signal Processing 67 (3), 700-707, 2018 | 7 | 2018 |
| Method and system for iterative computed tomography reconstruction J Brokish, Y Bresler, L Pfister US Patent 9,524,567, 2016 | 7 | 2016 |
| Bounding multivariate trigonometric polynomials with applications to filter bank design L Pfister, Y Bresler arXiv preprint arXiv:1802.09588, 2018 | 6 | 2018 |
| A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging K Falahkheirkhah, K Yeh, S Mittal, L Pfister, R Bhargava arXiv preprint arXiv:1911.04410, 2019 | 4 | 2019 |
| Composition-aware spectroscopic tomography L Pfister, R Bhargava, Y Bresler, PS Carney Inverse Problems 36 (11), 115010, 2020 | 2 | 2020 |
| Parsimonious models for inverse problems L Pfister University of Illinois at Urbana-Champaign, 2019 | 1 | 2019 |
| Systems and methods for improving resolution in lensless imaging PR Gill, DG Stork, MS Monjur, LA Pfister US Patent 10,222,742, 2019 | 1 | 2019 |
Yoram BreslerFounder Professor of Engineering, Depts. of Electrical & Computer Engineering and BioengineeringVerified email at illinois.edu
