Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction. - Michael R. Kellman; François Rivest; Alina Pechacek; Lydia Sohn; Michael Lustig (ICASSP, 2017)

Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. - Michael R. Kellman; Emrah Bostan; Nicole A. Repina; Michael Lustig; Laura Waller (CoRR, 2018)

Data-Driven Design for Fourier Ptychographic Microscopy. - Michael R. Kellman; Emrah Bostan; Michael Chen; Laura Waller (ICCP, 2019)

Memory-efficient Learning for Large-scale Computational Imaging. - Michael R. Kellman; Jonathan I. Tamir; Emrah Bostan; Michael Lustig; Laura Waller (CoRR, 2019)

Physics-Based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging. - Michael R. Kellman; Emrah Bostan; Nicole A. Repina; Laura Waller (IEEE Trans. Computational Imaging, 2019)

Memory-efficient Learning for Large-scale Computational Imaging. - Michael R. Kellman; Kevin Zhang 003; Jonathan I. Tamir; Emrah Bostan; Michael Lustig; Laura Waller (CoRR, 2020)

How to do Physics-based Learning. - Michael R. Kellman; Michael Lustig; Laura Waller (CoRR, 2020)

Memory-Efficient Learning for Large-Scale Computational Imaging. - Michael R. Kellman; Kevin Zhang 003; Eric Markley; Jonathan I. Tamir; Emrah Bostan; Michael Lustig; Laura Waller (IEEE Trans. Computational Imaging, 2020)

Physics-based Learning for Large-scale Computational Imaging - Michael R. Kellman (2020)

Memory-Efficient Learning for High-Dimensional MRI Reconstruction. - Ke Wang; Michael R. Kellman; Christopher M. Sandino; Kevin Zhang 003; Shreyas S. Vasanawala; Jonathan I. Tamir; Stella X. Yu; Michael Lustig (MICCAI (6), 2021)