Luke Pfister

According to our database, Luke Pfister authored at least 10 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Scientific Computational Imaging Code (SCICO).

Thilo Balke, Fernando Davis, Cristina Garcia-Cardona, Soumendu Majee, Michael T. McCann, Luke Pfister, Brendt Wohlberg

J. Open Source Softw., October, 2022

2020

Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks.

Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler

IEEE Signal Process. Mag., 2020

2019

Parsimonious models for inverse problems

Luke Pfister

PhD thesis, 2019

Bounding Multivariate Trigonometric Polynomials.

Luke Pfister, Yoram Bresler

IEEE Trans. Signal Process., 2019

Learning Filter Bank Sparsifying Transforms.

Luke Pfister, Yoram Bresler

IEEE Trans. Signal Process., 2019

A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging.

Kianoush Falahkheirkhah, Kevin Yeh, Shachi Mittal, Luke Pfister, Rohit Bhargava

CoRR, 2019

2017

Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising.

Bihan Wen, Yanjun Li, Luke Pfister, Yoram Bresler

Proceedings of the IEEE International Conference on Computer Vision, 2017

Automatic parameter tuning for image denoising with learned sparsifying transforms.

Luke Pfister, Yoram Bresler

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2014

Tomographic reconstruction with adaptive sparsifying transforms.

Luke Pfister, Yoram Bresler

Proceedings of the IEEE International Conference on Acoustics, 2014

Model-based iterative tomographic reconstruction with adaptive sparsifying transforms.

Luke Pfister, Yoram Bresler

Proceedings of the Computational Imaging XII, 2014