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Michael Kellman
Michael Kellman
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Verified email at berkeley.edu - Homepage
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Cited by
Cited by
Year
Physics-based learned design: optimized coded-illumination for quantitative phase imaging
MR Kellman, E Bostan, NA Repina, L Waller
IEEE Transactions on Computational Imaging 5 (3), 344-353, 2019
1562019
Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network
E Bostan, R Heckel, M Chen, M Kellman, L Waller
Optica 7 (6), 559-562, 2020
1332020
Memory-efficient learning for large-scale computational imaging
M Kellman, K Zhang, E Markley, J Tamir, E Bostan, M Lustig, L Waller
IEEE Transactions on Computational Imaging 6, 1403-1414, 2020
752020
Data-Driven Design for Fourier Ptychographic Microscopy
M Kellman, E Bostan, M Chen, L Waller
International Conference on Computational Photography, 2019
662019
Barker-Coded Node-Pore Resistive Pulse Sensing With Built-in Coincidence Correction
M Kellman, F Rivest, A Pechacek, L Sohn, M Lustig
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017
202017
Node-Pore Coded Coincidence Correction: Coulter Counters, Code Design, and Sparse Deconvolution
M Kellman, F Rivest, A Pechacek, L Sohn, M Lustig
IEEE Sensors Journal, 2018
172018
Motion-resolved quantitative phase imaging
M Kellman, M Chen, ZF Phillips, M Lustig, L Waller
Biomedical optics express 9 (11), 5456-5466, 2018
152018
Memory-efficient learning for high-dimensional MRI reconstruction
K Wang, M Kellman, CM Sandino, K Zhang, SS Vasanawala, JI Tamir, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
122021
Self-calibrated 3D differential phase contrast microscopy with optimized illumination
R Cao, M Kellman, D Ren, R Eckert, L Waller
Biomedical Optics Express 13 (3), 1671-1684, 2022
112022
Physics-based learned diffuser for single-shot 3d imaging
E Markley, FL Liu, M Kellman, N Antipa, L Waller
NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021
92021
How to do physics-based learning
M Kellman, M Lustig, L Waller
arXiv preprint arXiv:2005.13531, 2020
32020
Physics-Based Learned Design for Fourier DiffuserScope
E Markley, FL Liu, M Kellman, N Antipa, L Waller
Computational Optical Sensing and Imaging, CM6B. 3, 2021
12021
3d fluorescence deconvolution with deep priors (conference presentation)
K Zhang, MR Kellman, E Bostan, L Waller
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and …, 2020
12020
Physics-based learning for measurement diversity in 3D refractive index microscopy (Conference Presentation)
R Eckert, MR Kellman, L Waller
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and …, 2020
12020
Physics-based learning for large-scale computational imaging
MR Kellman
University of California, Berkeley, 2020
12020
Robust Multi-Pitch Tracking: a trained classifier based approach
M Kellman, N Morgan
International Computer Science Institute, 2016
12016
Algorithmic self-calibration for optimized 3D quantitative differential phase contrast microscopy
R Cao, M Kellman, DY Ren, R Eckert, L Waller
Quantitative Phase Imaging VII 11653, 116530R, 2021
2021
3D Differential Phase Contrast Microscopy with Axial Motion Deblurring
R Cao, M Kellman, D Ren, L Waller
Computational Optical Sensing and Imaging, CF4C. 2, 2020
2020
Data-driven experimental design for computational imaging (Conference Presentation)
MR Kellman, E Bostan, M Lustig, L Waller
Quantitative Phase Imaging VI 11249, 1124916, 2020
2020
Memory-efficient Learning for Large-scale Computational Imaging--NeurIPS deep inverse workshop
M Kellman, J Tamir, E Boston, M Lustig, L Waller
arXiv preprint arXiv:1912.05098, 2019
2019
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