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Mikhail Papkov
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2020 – today
- 2023
- [c6]Joonas Ariva, Mikhail Papkov:
Fast Fourier Convolutions in Self-Supervised Neural Networks for Image Denoising. Tiny Papers @ ICLR 2023 - [c5]Pavel Chizhov, Mikhail Papkov:
Self-Supervised Image Denoising with Swin Transformer. Tiny Papers @ ICLR 2023 - [c4]Denys Kaliuzhnyi, Dmytro Fishman, Mikhail Papkov:
Reducing the Effect of Incomplete Annotations in Object Detection for Histopathology. Tiny Papers @ ICLR 2023 - [c3]Iaroslav Plutenko, Mikhail Papkov, Kaupo Palo, Leopold Parts, Dmytro Fishman:
Metadata Improves Segmentation Through Multitasking Elicitation. DART@MICCAI 2023: 147-155 - [c2]Mikhail Papkov, Kaupo Palo, Leopold Parts:
Self-supervised Single-Image Deconvolution with Siamese Neural Networks. DALI@MICCAI 2023: 157-166 - [i4]Mikhail Papkov, Pavel Chizhov:
SwinIA: Self-Supervised Blind-Spot Image Denoising with Zero Convolutions. CoRR abs/2305.05651 (2023) - [i3]Iaroslav Plutenko, Mikhail Papkov, Kaupo Palo, Leopold Parts, Dmytro Fishman:
Metadata Improves Segmentation Through Multitasking Elicitation. CoRR abs/2308.09411 (2023) - [i2]Mikhail Papkov, Kaupo Palo, Leopold Parts:
Self-Supervised Single-Image Deconvolution with Siamese Neural Networks. CoRR abs/2308.09426 (2023) - 2021
- [c1]Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon, Jarrod Shilts, Ömer Bayraktar, Dmytro Fishman, Kaupo Palo, Leopold Parts:
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data. MLMIR@MICCAI 2021: 99-108 - 2020
- [i1]Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon, Ömer Bayraktar, Dmytro Fishman, Kaupo Palo, Leopold Parts:
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data. CoRR abs/2011.05105 (2020)
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