| 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 | 156 | 2019 |
| 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 | 133 | 2020 |
| 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 | 75 | 2020 |
| Data-Driven Design for Fourier Ptychographic Microscopy M Kellman, E Bostan, M Chen, L Waller International Conference on Computational Photography, 2019 | 66 | 2019 |
| 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 | 20 | 2017 |
| 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 | 17 | 2018 |
| Motion-resolved quantitative phase imaging M Kellman, M Chen, ZF Phillips, M Lustig, L Waller Biomedical optics express 9 (11), 5456-5466, 2018 | 15 | 2018 |
| 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 | 12 | 2021 |
| 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 | 11 | 2022 |
| 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 | 9 | 2021 |
| How to do physics-based learning M Kellman, M Lustig, L Waller arXiv preprint arXiv:2005.13531, 2020 | 3 | 2020 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| 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 | 1 | 2020 |
| Physics-based learning for large-scale computational imaging MR Kellman University of California, Berkeley, 2020 | 1 | 2020 |
| Robust Multi-Pitch Tracking: a trained classifier based approach M Kellman, N Morgan International Computer Science Institute, 2016 | 1 | 2016 |
| 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 |
Laura WallerUC Berkeley在 alum.mit.edu 的电子邮件经过验证
