Luke Pfister

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 9

Top Topics

Parameter Tuning

Tomographic Reconstruction

Top Venues

IEEE Trans. Signal Process.

Computational Imaging

Publications

Thilo Balke, Fernando Davis, Cristina Garcia-Cardona, Soumendu Majee, Michael T. McCann, Luke Pfister, Brendt Wohlberg
Scientific Computational Imaging Code (SCICO). J. Open Source Softw. 7 (78) (2022)
Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks. IEEE Signal Process. Mag. 37 (1) (2020)
Kianoush Falahkheirkhah, Kevin Yeh, Shachi Mittal, Luke Pfister, Rohit Bhargava
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging. CoRR (2019)
Luke Pfister, Yoram Bresler
Bounding Multivariate Trigonometric Polynomials. IEEE Trans. Signal Process. 67 (3) (2019)
Luke Pfister, Yoram Bresler
Learning Filter Bank Sparsifying Transforms. IEEE Trans. Signal Process. 67 (2) (2019)
Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks. CoRR (2019)
Luke Pfister, Yoram Bresler
Learning Filter Bank Sparsifying Transforms. CoRR (2018)
Bihan Wen, Yanjun Li, Luke Pfister, Yoram Bresler
Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising. ICCV (2017)
Luke Pfister, Yoram Bresler
Automatic parameter tuning for image denoising with learned sparsifying transforms. ICASSP (2017)
Luke Pfister, Yoram Bresler
Model-based iterative tomographic reconstruction with adaptive sparsifying transforms. Computational Imaging (2014)
Luke Pfister, Yoram Bresler
Tomographic reconstruction with adaptive sparsifying transforms. ICASSP (2014)