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Nikita Moshkov
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Test-time augmentation for deep learning-based cell segmentation on microscopy images
N Moshkov, B Mathe, A Kertesz-Farkas, R Hollandi, P Horvath
Scientific reports 10 (1), 1-7, 2020
1892020
Nucleus segmentation: towards automated solutions
R Hollandi, N Moshkov, L Paavolainen, E Tasnadi, F Piccinini, P Horvath
Trends in Cell Biology 32 (4), 295-310, 2022
452022
Predicting compound activity from phenotypic profiles and chemical structures
N Moshkov, T Becker, K Yang, P Horvath, BK Wagner, V Dancik, ...
Nature Communications 14 (1), 10.1038/s41467-023-37570-1, 2023
40*2023
Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates
F Piccinini, T Balassa, A Carbonaro, A Diosdi, T Toth, N Moshkov, ...
Computational and structural biotechnology journal 18, 1287-1300, 2020
382020
AnnotatorJ: an ImageJ plugin to ease hand annotation of cellular compartments
R Hollandi, Á Diósdi, G Hollandi, N Moshkov, P Horváth
Molecular biology of the cell 31 (20), 2179-2186, 2020
362020
Learning representations for image-based profiling of perturbations
N Moshkov, M Bornholdt, S Benoit, M Smith, C McQuin, A Goodman, ...
Nature Communications 15 (1), 1594, 2024
342024
SpheroidPicker for automated 3D cell culture manipulation using deep learning
I Grexa, A Diosdi, M Harmati, A Kriston, N Moshkov, K Buzas, V Pietiäinen, ...
Scientific Reports 11 (1), 14813, 2021
19*2021
Y-chromosome haplogroup diversity in Khazar burials from southern Russia
IV Kornienko, TG Faleeva, TG Schurr, OY Aramova, MA Ochir-Goryaeva, ...
Russian journal of genetics 57, 477-488, 2021
10*2021
Unbiased single-cell morphology with self-supervised vision transformers
M Doron, T Moutakanni, ZS Chen, N Moshkov, M Caron, H Touvron, ...
bioRxiv, 2023
6*2023
Diverse genetic origins of medieval steppe nomad conquerors
AS Mikheyev, L Qiu, A Zarubin, N Moshkov, Y Orlov, DR Chartier, ...
bioRxiv, 2019.12. 15.876912, 2019
42019
Anchoring to exemplars for training mixture-of-expert cell embeddings
S Wang, M Lu, N Moshkov, JC Caicedo, BA Plummer
arXiv preprint arXiv:2112.03208, 2021
22021
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
ZS Chen, C Pham, S Wang, M Doron, N Moshkov, B Plummer, ...
Advances in Neural Information Processing Systems 36, 2024
12024
SuperCUT, an unsupervised multimodal image registration with deep learning for biomedical microscopy
I Grexa, ZZ Iván, E Migh, F Kovács, HA Bolck, X Zheng, A Mund, ...
Briefings in Bioinformatics 25 (2), bbae029, 2024
2024
Application of Deep Learning Algorithms to Single-Cell Segmentation and Phenotypic Profiling
N Moshkov
PQDT-Global, 2022
2022
Local ancestry prediction with PyLAE
N Moshkov, A Smetanin, TV Tatarinova
PeerJ 9, e12502, 2021
2021
Genetic footprints of medieval nomads on the crossroads of civilizations in Southern Russia
A Mikheyev, E Batyeva, V Klyuchniov, Y Orlov, N Moshkov, I Dmitrievsky, ...
Biodiversity: Genomics and Evolution (BioGenEvo-2018), 31-31, 2018
2018
О ПОЛИТИКЕ ИДЕНТИФИКАЦИИ И АУТЕНТИФИКАЦИИ
НЕ Мошков, ДВ Мишин
ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ И АВТОМАТИЗАЦИЯ УПРАВЛЕНИЯ, 198-200, 2015
2015
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Articles 1–17