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Moshkov, Nikita
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1

SuperCUT, an unsupervised multimodal image registration wit..:

Grexa, Istvan ; Iván, Zsanett Zsófia ; Migh, Ede...
Briefings in Bioinformatics.  25 (2024)  2 - p. , 2024
Link: https://doi.org/10.1093/..
 
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2

Learning representations for image-based profiling of pertu..:

Moshkov, Nikita ; Bornholdt, Michael ; Benoit, Santiago...
Nature Communications.  15 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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3

Predicting compound activity from phenotypic profiles and c..:

Moshkov, Nikita ; Becker, Tim ; Yang, Kevin...
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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4

Nucleus segmentation: towards automated solutions:

Hollandi, Reka ; Moshkov, Nikita ; Paavolainen, Lassi...
Trends in Cell Biology.  32 (2022)  4 - p. 295-310 , 2022
Link: https://doi.org/10.1016/..
 
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5

Local ancestry prediction with PyLAE:

Moshkov, Nikita ; Smetanin, Aleksandr ; Tatarinova, Tatiana V.
PeerJ.  9 (2021)  - p. e12502 , 2021
Link: https://doi.org/10.7717/..
 
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6

Author Correction: Test-time augmentation for deep learning..:

Moshkov, Nikita ; Mathe, Botond ; Kertesz-Farkas, Attila..
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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7

SpheroidPicker for automated 3D cell culture manipulation u..:

Grexa, Istvan ; Diosdi, Akos ; Harmati, Maria...
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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8

Test-time augmentation for deep learning-based cell segment..:

Moshkov, Nikita ; Mathe, Botond ; Kertesz-Farkas, Attila..
Scientific Reports.  10 (2020)  1 - p. , 2020
Link: https://doi.org/10.1038/..
 
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9

Software tools for 3D nuclei segmentation and quantitative ..:

Piccinini, Filippo ; Balassa, Tamas ; Carbonaro, Antonella...
Computational and Structural Biotechnology Journal.  18 (2020)  - p. 1287-1300 , 2020
Link: https://doi.org/10.1016/..
 
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10

Unbiased single-cell morphology with self-supervised vision..:

Doron, Michael ; Moutakanni, Théo ; Chen, Zitong, S...
info:eu-repo/semantics/altIdentifier/doi/10.1101/2023.06.16.545359.  , 2024
Link: https://hal.science/hal-..
 
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11

Unbiased single-cell morphology with self-supervised vision..:

Doron, Michael ; Moutakanni, Théo ; Chen, Zitong, S...
info:eu-repo/semantics/altIdentifier/doi/10.1101/2023.06.16.545359.  , 2024
Link: https://hal.science/hal-..
 
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12

CHAMMI: A benchmark for channel-adaptive models in microsco..:

Chen, Zitong ; Pham, Chau ; Wang, Siqi...
http://arxiv.org/abs/2310.19224.  , 2023
Link: http://arxiv.org/abs/231..
 
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13

Unbiased single-cell morphology with self-supervised vision..:

Doron, Michael ; Moutakanni, Théo ; Chen, Zitong S...
doi:10.5281/zenodo.8061391.  , 2023
Link: https://zenodo.org/recor..
 
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14

Unbiased single-cell morphology with self-supervised vision..:

Doron, Michael ; Moutakanni, Théo ; Chen, Zitong S...
doi:10.5281/zenodo.8061425.  , 2023
Link: https://zenodo.org/recor..
 
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15

Predicting compound activity from phenotypic profiles and c..:

Moshkov, Nikita ; Becker, Tim ; Yang, Kevin...
http://real.mtak.hu/175051/1/s41467-023-37570-1.pdf.  , 2023
Link: http://real.mtak.hu/1750..
 
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