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Luke Pfister
Luke Pfister
Machine Learning Engineer
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Title
Cited by
Cited by
Year
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
602020
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
512017
Model-based iterative tomographic reconstruction with adaptive sparsifying transforms
L Pfister, Y Bresler
Computational Imaging XII 9020, 125-135, 2014
342014
Tomographic reconstruction with adaptive sparsifying transforms
L Pfister, Y Bresler
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
312014
Highly accelerated imaging and image reconstruction using adaptive sparsifying transforms
Y Bresler, LA Pfister, S Ravishankar
US Patent 9,734,601, 2017
302017
Learning filter bank sparsifying transforms
L Pfister, Y Bresler
IEEE Transactions on Signal Processing 67 (2), 504-519, 2019
272019
Learning sparsifying filter banks
L Pfister, Y Bresler
Wavelets and Sparsity XVI 9597, 959703, 2015
242015
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
192021
Adaptive Sparsifying Transforms for Iterative Tomographic Reconstruction
L Pfister, Y Bresler
The Third International Conference on Image Formation in X-Ray Computed …, 2014
172014
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
142022
Tomographic reconstruction with adaptive sparsifying transforms
L Pfister
University of Illinois at Urbana-Champaign, 2013
122013
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
82022
Automatic parameter tuning for image denoising with learned sparsifying transforms
L Pfister, Y Bresler
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
82017
Bounding multivariate trigonometric polynomials
L Pfister, Y Bresler
IEEE Transactions on Signal Processing 67 (3), 700-707, 2018
72018
Method and system for iterative computed tomography reconstruction
J Brokish, Y Bresler, L Pfister
US Patent 9,524,567, 2016
72016
Bounding multivariate trigonometric polynomials with applications to filter bank design
L Pfister, Y Bresler
arXiv preprint arXiv:1802.09588, 2018
62018
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
42019
Composition-aware spectroscopic tomography
L Pfister, R Bhargava, Y Bresler, PS Carney
Inverse Problems 36 (11), 115010, 2020
22020
Parsimonious models for inverse problems
L Pfister
University of Illinois at Urbana-Champaign, 2019
12019
Agile optoelectronic fiber sources for hyperspectral chemical sensing from SWIR to LWIR
I Kang, A Grant, M Dinu, J Jaques, L Pfister, R Bhargava, PS Carney
Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2018
12018
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