Ervin Tasnadi
Ervin Tasnadi
Altri nomiErvin Tasnádi, Ervin A Tasnadi
HUN-REN Biological Research Centre
Email verificata su - Home page
Citata da
Citata da
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
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
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
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
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
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
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
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
Novel O-linked sialoglycan structures in human urinary glycoproteins
A Pap, E Tasnadi, KF Medzihradszky, Z Darula
Molecular Omics 16 (2), 156-164, 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
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, ...
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
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
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
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
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
Véletlen sétákon alapuló link predikció közösségi hálózatokban
EÁ Tasnádi
University of Szeged, 2016
Operációs rendszerek memóriakezelő algoritmusainak implementációi
EÁ Tasnádi
szte, 2014
Active contour and deep learning methods for single-cell segmentation in microscopy images
E Tasnádi
szte, 0
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
Articoli 1–19