Michael R. Kellman

According to our database, Michael R. Kellman authored at least 10 papers between 2017 and 2021.

Collaborative distances:

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

2021

Memory-Efficient Learning for High-Dimensional MRI Reconstruction.

Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Physics-based Learning for Large-scale Computational Imaging

Michael R. Kellman

PhD thesis, 2020

Memory-Efficient Learning for Large-Scale Computational Imaging.

Michael R. Kellman, Kevin Zhang, Eric Markley, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller

IEEE Trans. Computational Imaging, 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, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller

CoRR, 2020

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, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller

CoRR, 2019

Data-Driven Design for Fourier Ptychographic Microscopy.

Michael R. Kellman, Emrah Bostan, Michael Chen, Laura Waller

Proceedings of the IEEE International Conference on Computational Photography, 2019

2018

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

2017

Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction.

Michael R. Kellman, François Rivest, Alina Pechacek, Lydia Sohn, Michael Lustig

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017