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Mikhail Papkov
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Evaluating very deep convolutional neural networks for nucleus segmentation from brightfield cell microscopy images
MAS Ali, O Misko, SO Salumaa, M Papkov, K Palo, D Fishman, L Parts
SLAS DISCOVERY: Advancing the Science of Drug Discovery 26 (9), 1125-1137, 2021
202021
Noise2Stack: improving image restoration by learning from volumetric data
M Papkov, K Roberts, LA Madissoon, J Shilts, O Bayraktar, D Fishman, ...
Machine Learning for Medical Image Reconstruction: 4th International …, 2021
62021
SwinIA: Self-Supervised Blind-Spot Image Denoising with Zero Convolutions
M Papkov, P Chizhov
arXiv preprint arXiv:2305.05651, 2023
32023
Single-cell imaging of protein dynamics of paralogs reveals mechanisms of gene retention
R Dandage, M Papkov, BM Greco, D Fishman, H Friesen, K Wang, ...
bioRxiv, 2023
2023
Metadata Improves Segmentation Through Multitasking Elicitation
I Plutenko, M Papkov, K Palo, L Parts, D Fishman
MICCAI Workshop on Domain Adaptation and Representation Transfer, 147-155, 2023
2023
Self-supervised Single-Image Deconvolution with Siamese Neural Networks
M Papkov, K Palo, L Parts
International Conference on Medical Image Computing and Computer-Assisted …, 2023
2023
Self-Supervised Image Denoising with Swin Transformer
P Chizhov, M Papkov
2023
Reducing the Effect of Incomplete Annotations in Object Detection for Histopathology
D Kaliuzhnyi, D Fishman, M Papkov
2023
Fast Fourier Convolutions in Self-Supervised Neural Networks for Image Denoising
J Ariva, M Papkov
2023
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