| nucleAIzer: a parameter-free deep learning framework for nucleus segmentation using image style transfer R Hollandi, A Szkalisity, T Toth, E Tasnadi, C Molnar, B Mathe, I Grexa, ... Cell systems 10 (5), 453-458. e6, 2020 | 228* | 2020 |
| 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 | 54 | 2022 |
| 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 | 41 | 2020 |
| Automatic deep learning-driven label-free image-guided patch clamp system K Koos, G Oláh, T Balassa, N Mihut, M Rózsa, A Ozsvár, E Tasnadi, ... Nature communications 12 (1), 1-11, 2021 | 35* | 2021 |
| 3D-Cell-Annotator: an open-source active surface tool for single-cell segmentation in 3D microscopy images EA Tasnadi, T Toth, M Kovacs, A Diosdi, F Pampaloni, J Molnar, ... Bioinformatics 36 (9), 2948-2949, 2020 | 22 | 2020 |
| Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation A Serra, M Fratello, A Federico, R Ojha, R Provenzani, E Tasnadi, ... Briefings in bioinformatics 23 (1), bbab507, 2022 | 21 | 2022 |
| Segmentation metric misinterpretations in bioimage analysis D Hirling, E Tasnadi, J Caicedo, MV Caroprese, R Sjögren, M Aubreville, ... Nature methods 21 (2), 213-216, 2024 | 18 | 2024 |
| Uszeged: Correction type-sensitive normalization of english tweets using efficiently indexed n-gram statistics G Berend, E Tasnádi Proceedings of the Workshop on Noisy User-generated Text, 120-125, 2015 | 13 | 2015 |
| Novel O-linked sialoglycan structures in human urinary glycoproteins A Pap, E Tasnadi, KF Medzihradszky, Z Darula Molecular Omics 16 (2), 156-164, 2020 | 11 | 2020 |
| Supervised prediction of social network links using implicit sources of information E Tasnádi, G Berend Proceedings of the 24th International Conference on World Wide Web, 1117-1122, 2015 | 7 | 2015 |
| nucleAIzer: a parameter-free deep learning framework for nucleus segmentation using image style transfer. Cell Syst. 10, 453–458. e6 R Hollandi, A Szkalisity, T Toth, E Tasnadi, C Molnar, B Mathe, I Grexa, ... | 5 | 2020 |
| Open-source tools for volume estimation of 3D multicellular aggregates I De Santis, E Tasnadi, P Horvath, A Bevilacqua, F Piccinini Applied Sciences 9 (8), 1616, 2019 | 4 | 2019 |
| Active surfaces for selective object segmentation in 3D J Molnar, E Tasnadi, B Kintses, Z Farkas, C Pal, P Horvath, T Danka 2017 International Conference on Digital Image Computing: Techniques and …, 2017 | 3 | 2017 |
| A balanced phase field model for active contours J Molnar, E Tasnadi, P Horvath Scale Space and Variational Methods in Computer Vision: 7th International …, 2019 | 1 | 2019 |
| Active contour and deep learning methods for single-cell segmentation in microscopy images E Tasnádi szte, 2024 | | 2024 |
| mulea-an R package for enrichment analysis using multiple ontologies and empirical FDR correction C Turek, M Olbei, T Stirling, G Fekete, E Tasnadi, L Gul, B Bohar, B Papp, ... bioRxiv, 2024.02. 28.582444, 2024 | | 2024 |
| Structure preserving adversarial generation of labeled training samples for single-cell segmentation E Tasnadi, A Sliz-Nagy, P Horvath Cell Reports Methods 3 (9), 2023 | | 2023 |
| Véletlen sétákon alapuló link predikció közösségi hálózatokban EÁ Tasnádi University of Szeged, 2016 | | 2016 |
| Operációs rendszerek memóriakezelő algoritmusainak implementációi EÁ Tasnádi szte, 2014 | | 2014 |
Peter HorvathSzeged, Helsinki, ETH Zurich, INRIA, Sophia AntipolisE-mail megerősítve itt: brc.hu
