Luke Pfister

12 papers A* 1Misc 2Journal 7Unranked 1

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