Mikhail Papkov

Orcid: 0000-0001-8423-9630

According to our database¹, Mikhail Papkov authored at least 9 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Plots Unlock Time-Series Understanding in Multimodal Models.

[BibT_eX]

[DOI]

Mayank Daswani

Mathias M. J. Bellaiche

CoRR, 2024

2023

SwinIA: Self-Supervised Blind-Spot Image Denoising with Zero Convolutions.

[BibT_eX]

[DOI]

Mikhail Papkov

Pavel Chizhov

CoRR, 2023

Metadata Improves Segmentation Through Multitasking Elicitation.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

Self-supervised Single-Image Deconvolution with Siamese Neural Networks.

[BibT_eX]

[DOI]

Mikhail Papkov

Kaupo Palo

Leopold Parts

Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

Reducing the Effect of Incomplete Annotations in Object Detection for Histopathology.

[BibT_eX]

[DOI]

Denys Kaliuzhnyi

Dmytro Fishman

Mikhail Papkov

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Self-Supervised Image Denoising with Swin Transformer.

[BibT_eX]

[DOI]

Pavel Chizhov

Mikhail Papkov

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Fast Fourier Convolutions in Self-Supervised Neural Networks for Image Denoising.

[BibT_eX]

[DOI]

Joonas Ariva

Mikhail Papkov

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2021

Noise2Stack: Improving Image Restoration by Learning from Volumetric Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020

Noise2Stack: Improving Image Restoration by Learning from Volumetric Data.

[BibT_eX]

[DOI]

CoRR, 2020

Mikhail Papkov

Timeline

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