publications

2023

  1. Reducing the Effect of Incomplete Annotations in Object Detection for Histopathology
    Denys Kaliuzhnyi, Dmytro Fishman, and Mikhail Papkov
    2023
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  2. Self-Supervised Image Denoising with Swin Transformer
    Pavel Chizhov, and Mikhail Papkov
    2023
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  3. Fast Fourier Convolutions in Self-Supervised Neural Networks for Image Denoising
    Joonas Ariva, and Mikhail Papkov
    2023
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  4. SwinIA: Self-Supervised Blind-Spot Image Denoising with Zero Convolutions
    Mikhail Papkov, and Pavel Chizhov
    2023
    arXiv

2021

  1. Evaluating very deep convolutional neural networks for nucleus segmentation from brightfield cell microscopy images
    Mohammed AS Ali, Oleg Misko, Sten-Oliver Salumaa, and 4 more authors
    SLAS DISCOVERY: Advancing the Science of Drug Discovery, 2021
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  2. Noise2Stack: Improving image restoration by learning from volumetric data
    Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon, and 5 more authors
    In Machine Learning for Medical Image Reconstruction: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings 4, 2021
    arXiv HTML PDF Slides