Mikhail Papkov

According to our database, Mikhail Papkov authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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

Mikhail Papkov, Pavel Chizhov

CoRR, 2023

Metadata Improves Segmentation Through Multitasking Elicitation.

Iaroslav Plutenko, Mikhail Papkov, Kaupo Palo, Leopold Parts, Dmytro Fishman

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

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

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.

Denys Kaliuzhnyi, Dmytro Fishman, Mikhail Papkov

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

Self-Supervised Image Denoising with Swin Transformer.

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.

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.

Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon, Jarrod Shilts, Ömer Bayraktar, Dmytro Fishman, Kaupo Palo, Leopold Parts

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020

Noise2Stack: Improving Image Restoration by Learning from Volumetric Data.

Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon, Ömer Bayraktar, Dmytro Fishman, Kaupo Palo, Leopold Parts

CoRR, 2020