Model-based iterative tomographic reconstruction with adaptive sparsifying transforms. - Luke Pfister; Yoram Bresler (Computational Imaging, 2014)

Tomographic reconstruction with adaptive sparsifying transforms. - Luke Pfister; Yoram Bresler (ICASSP, 2014)

Automatic parameter tuning for image denoising with learned sparsifying transforms. - Luke Pfister; Yoram Bresler (ICASSP, 2017)

Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising. - Bihan Wen; Yanjun Li 001; Luke Pfister; Yoram Bresler (ICCV, 2017)

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)

Learning Filter Bank Sparsifying Transforms. - Luke Pfister; Yoram Bresler (IEEE Trans. Signal Process., 2019)

Bounding Multivariate Trigonometric Polynomials. - Luke Pfister; Yoram Bresler (IEEE Trans. Signal Process., 2019)

Parsimonious models for inverse problems - Luke Pfister (2019)

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)

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., 2022)