See Google scholar for a full publication list.


  1. 2023_uncertainty.gif
    Learned, Uncertainty-driven Adaptive Acquisition for Photon-Efficient Multiphoton Microscopy
    Cassandra Tong Ye, Jiashu Han, Kunzan Liu, and 4 more authors
  2. roadmap.png
    Roadmap on Deep Learning for Microscopy
    Giovanni Volpe, Carolina Wählby, Lei Tian, and 8 more authors
    ArXiv, 2023


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    Physics-Informed Machine Learning for Computational Imaging
    Kristina Monakhova
  2. Dancing under the stars: video denoising in starlight
    Kristina Monakhova, Stephan R Richter, Laura Waller, and 1 more author
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
  3. 2022_multiwiener.png
    Deep learning for fast spatially varying deconvolution
    Kyrollos Yanny, Kristina Monakhova, Richard W Shuai, and 1 more author
    Optica, 2022


  1. 2021_untrained.gif
    Untrained networks for compressive lensless photography
    Kristina Monakhova, Vi Tran, Grace Kuo, and 1 more author
    Optics Express, 2021


  1. 2020_spectraldiffusercam.jpeg
    Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array
    Kristina Monakhova, Kyrollos Yanny, Neerja Aggarwal, and 1 more author
    Optica, 2020
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    Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy
    Kyrollos Yanny, Nick Antipa, William Liberti, and 6 more authors
    Light: Science & Applications, 2020


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    Learned reconstructions for practical mask-based lensless imaging
    Kristina Monakhova, Joshua Yurtsever, Grace Kuo, and 3 more authors
    Optics express, 2019