Michael R. Kellman

Most-cited papers

1. Physics-Based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging

   Michael R. Kellman, E. Bostan, N. Repina, M. Lustig +1 more

   2018IEEE Transactions on Computational Imaging149 citations Open access

   Semantic Scholar

   Save

2. Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network

   E. Bostan, Reinhard Heckel, Michael Chen, Michael R. Kellman +1 more

   2020Optica137 citations Open access

   Semantic Scholar

   Save

3. Data-Driven Design for Fourier Ptychographic Microscopy

   Michael R. Kellman, E. Bostan, Michael Chen, L. Waller

   2019International Conference on Computational Photography69 citations

   Semantic Scholar

   Save

4. Memory-Efficient Learning for Large-Scale Computational Imaging

   Michael R. Kellman, Kevin Zhang, E. Markley, J. Tamir +3 more

   2019IEEE Transactions on Computational Imaging68 citations Open access

   Semantic Scholar

   Save

5. Memory-efficient Learning for High-Dimensional MRI Reconstruction

   Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang +4 more

   2021International Conference on Medical Image Computing and Computer-Assisted Intervention17 citations Open access

   Semantic Scholar

   Save

6. Motion-resolved quantitative phase imaging.

   Michael R. Kellman, Michael Chen, Zachary F. Phillips, M. Lustig +1 more

   2018Biomedical Optics Express16 citations Open access

   Semantic Scholar

   Save

7. Self-calibrated 3D differential phase contrast microscopy with optimized illumination.

   Ruiming Cao, Michael R. Kellman, D. Ren, Regina Eckert +1 more

   2022Biomedical Optics Express13 citations Open access

   Semantic Scholar

   Save

8. BARKER-CODED NODE-PORE RESISTIVE PULSE SENSING WITH BUILT-IN COINCIDENCE CORRECTION

   Michael R. Kellman, F. Rivest, Alina Pechacek, L. Sohn +1 more

   2017IEEE International Conference on Acoustics, Speech, and Signal Processing11 citations Open access

   Semantic Scholar

   Save

9. Node-Pore Coded Coincidence Correction: Coulter Counters, Code Design, and Sparse Deconvolution

   Michael R. Kellman, F. Rivest, Alina Pechacek, L. Sohn +1 more

   2018IEEE Sensors Journal10 citations Open access

   Semantic Scholar

   Save

10. Physics-Based Learned Diffuser for Single-shot 3D Imaging

    E. Markley, F. Liu, Michael R. Kellman, Nick Antipa +1 more

    20219 citations

    Semantic Scholar

    Save

11. Physics-Based Learned Design for Fourier DiffuserScope

    E. Markley, F. Liu, Michael R. Kellman, Nick Antipa +1 more

    2021OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)2 citations

    Semantic Scholar

    Save

12. How to do Physics-based Learning

    Michael R. Kellman, M. Lustig, L. Waller

    2020arXiv.org2 citations

    Semantic Scholar

    Save

13. Physics-based Learning for Large-scale Computational Imaging

    Michael R. Kellman

    20201 citations

    Semantic Scholar

    Save

14. Physics-based learning for measurement diversity in 3D refractive index microscopy (Conference Presentation)

    Regina Eckert, Michael R. Kellman, L. Waller

    20201 citations

    Semantic Scholar

    Save

15. 3D fluorescence deconvolution with deep priors (Conference Presentation)

    Kevin Zhang, Michael R. Kellman, E. Bostan, L. Waller

    20201 citations

    Semantic Scholar

    Save

16. Robust Multi-Pitch Tracking : a trained classifier based approach

    Michael R. Kellman, N. Morgan

    20161 citations

    Semantic Scholar

    Save

17. Algorithmic self-calibration for optimized 3D quantitative differential phase contrast microscopy

    Ruiming Cao, Michael R. Kellman, D. Ren, Regina Eckert +1 more

    20210 citations

    Semantic Scholar

    Save

18. 3D Differential Phase Contrast Microscopy with Axial Motion Deblurring

    Ruiming Cao, Michael R. Kellman, D. Ren, L. Waller

    2020Imaging and Applied Optics Congress0 citations

    Semantic Scholar

    Save

19. Data-driven experimental design for computational imaging (Conference Presentation)

    Michael R. Kellman, E. Bostan, M. Lustig, L. Waller

    20200 citations

    Semantic Scholar

    Save

20. Motion resolved quantitative phase imaging (Conference Presentation)

    Michael R. Kellman, Zachary F. Phillips, D. Ren, M. Lustig +1 more

    20180 citations

    Semantic Scholar

    Save

21. Node-Pore Coded Coincidence Correcting Microfluidic Channel Framework: Code Design And Sparse Deconvolution

    Michael R. Kellman, Alina Pechacek, L. Sohn, M. Lustig

    20170 citations

    Semantic Scholar

    Save

22. Blind Deconvolution Problems : A Literature Review and Practitioner ’ s Guide

    Michael R. Kellman

    20170 citations

    Semantic Scholar

    Save