| Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array K Monakhova, K Yanny, N Aggarwal, L Waller Optica 7 (10), 1298-1307, 2020 | 198 | 2020 |
| Learned reconstructions for practical mask-based lensless imaging K Monakhova, J Yurtsever, G Kuo, N Antipa, K Yanny, L Waller Optics express 27 (20), 28075-28090, 2019 | 172 | 2019 |
| Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy K Yanny, N Antipa, W Liberti, S Dehaeck, K Monakhova, FL Liu, K Shen, ... Light: Science & Applications 9 (1), 171, 2020 | 155 | 2020 |
| Deep learning for fast spatially varying deconvolution K Yanny, K Monakhova, RW Shuai, L Waller Optica 9 (1), 96-99, 2022 | 96 | 2022 |
| Untrained networks for compressive lensless photography K Monakhova, V Tran, G Kuo, L Waller Optics Express 29 (13), 20913-20929, 2021 | 52 | 2021 |
| Dancing under the stars: video denoising in starlight K Monakhova, SR Richter, L Waller, V Koltun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 49 | 2022 |
| Roadmap on deep learning for microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... ArXiv, 2023 | 21 | 2023 |
| Learned, uncertainty-driven adaptive acquisition for photon-efficient multiphoton microscopy CT Ye, J Han, K Liu, A Angelopoulos, L Griffith, K Monakhova, S You arXiv preprint arXiv:2310.16102, 2023 | 6 | 2023 |
| Snapshot hyperspectral imaging using a random phase mask and spectral filter array K Monakhova, K Yanny, L Waller Computational Optical Sensing and Imaging, JF2F. 4, 2020 | 4 | 2020 |
| Physics-Informed Machine Learning for Computational Imaging K Monakhova University of California, Berkeley, 2022 | 3 | 2022 |
| Spatially-varying microscope calibration from unstructured sparse inputs G Kuo, K Monakhova, K Yanny, R Ng, L Waller Computational Optical Sensing and Imaging, CF4C. 4, 2020 | 3 | 2020 |
| Unrolled, model-based networks for lensless imaging K Monakhova, J Yurtsever, G Kuo, N Antipa, K Yanny, L Waller NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 | 3 | 2019 |
| System-and Sample-agnostic Isotropic 3D Microscopy by Weakly Physics-informed, Domain-shift-resistant Axial Deblurring J Han, K Liu, KB Isaacson, K Monakhova, LG Griffith, S You arXiv preprint arXiv:2406.06337, 2024 | 1 | 2024 |
| Author Correction: Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy K Yanny, N Antipa, W Liberti, S Dehaeck, K Monakhova, FL Liu, K Shen, ... Light, Science & Applications 12, 2023 | 1 | 2023 |
| Multiwienernet: Deep learning for fast shift-varying deconvolution RW Shuai, K Yanny, K Monakhova, L Waller Computational Optical Sensing and Imaging, CTh5A. 5, 2021 | 1 | 2021 |
| Multi-sensor lensless imaging: Synthetic large-format sensing with a disjoint sensor array E Zhao, N Deshler, K Monakhova, L Waller Computational optical sensing and imaging, CF2C. 6, 2020 | 1 | 2020 |
| Learning for lensless mask-based imaging K Monakhova, N Antipa, L Waller Computational Optical Sensing and Imaging, CTu3A. 2, 2019 | 1 | 2019 |
| System-and sample-agnostic isotropic three-dimensional microscopy by weakly physics-informed, domain-shift-resistant axial deblurring J Han, K Liu, KB Isaacson, K Monakhova, LG Griffith, S You Nature Communications 16 (1), 745, 2025 | | 2025 |
| Hyperspectral microscopy using a phase mask and spectral filter array N Aggarwal, L Waller, Y Raniwala, E Markley, K Monakhova US Patent App. 18/629,189, 2024 | | 2024 |
| Leveraging uncertainty quantification in adaptive multiphoton microscopy acquisition CT Ye, J Han, K Liu, A Angelopoulos, L Griffith, K Monakhova, S You Computational Optical Imaging and Artificial Intelligence in Biomedical …, 2024 | | 2024 |
Laura WallerUC BerkeleyVerified email at alum.mit.edu
