| 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 | 227 | 2020 |
| 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 | 74 | 2024 |
| 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 | 74* | 2023 |
| 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 | 68 | 2022 |
| 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 | 49 | 2020 |
| 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 | 43 | 2020 |
| 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 | 34 | 2021 |
| Unbiased single-cell morphology with self-supervised vision transformers M Doron, T Moutakanni, ZS Chen, N Moshkov, M Caron, H Touvron, ... bioRxiv, 2023 | 21* | 2023 |
| 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 | 17* | 2021 |
| 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 | 5 | 2024 |
| 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 | 4 | 2019 |
| 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 | 3 | 2021 |
| 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 |
| Morphological map of under-and over-expression of genes in human cells SN Chandrasekaran, E Alix, J Arevalo, A Borowa, PJ Byrne, WG Charles, ... bioRxiv, 2024.12. 02.624527, 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 |
Peter HorvathSzeged, Helsinki, ETH Zurich, INRIA, Sophia AntipolisVerifierad e-postadress på brc.hu