| Data-analysis strategies for image-based cell profiling JC Caicedo, S Cooper, F Heigwer, S Warchal, P Qiu, C Molnar, ... Nature methods 14 (9), 849-863, 2017 | 666 | 2017 |
| Evaluation of deep learning strategies for nucleus segmentation in fluorescence images JC Caicedo, J Roth, A Goodman, T Becker, KW Karhohs, M Broisin, ... BioRxiv, 335216, 2019 | 309 | 2019 |
| Green Silver and Gold Nanoparticles: Biological Synthesis Approaches and Potentials for Biomedical Applications A Rónavári, N Igaz, DI Adamecz, B Szerencsés, C Molnar, Z Kónya, ... Molecules 26 (4), 844, 2021 | 259 | 2021 |
| 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, 2020 | 192 | 2020 |
| Accurate morphology preserving segmentation of overlapping cells based on active contours C Molnar, IH Jermyn, Z Kato, V Rahkama, P Östling, P Mikkonen, ... Scientific Reports 6, 32412, 2016 | 91 | 2016 |
| Intelligent image-based in situ single-cell isolation C Brasko, K Smith, C Molnar, N Farago, L Hegedus, A Balind, T Balassa, ... Nature communications 9 (1), 226, 2018 | 85 | 2018 |
| Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data F Piccinini, T Balassa, A Szkalisity, C Molnar, L Paavolainen, K Kujala, ... Cell Systems 4 (6), 651-655. e5, 2017 | 84 | 2017 |
| A deep convolutional neural network approach for astrocyte detection I Suleymanova, T Balassa, S Tripathi, C Molnar, M Saarma, Y Sidorova, ... Scientific reports 8, 2018 | 61 | 2018 |
| Impact of the morphology and reactivity of nanoscale zero-valent iron (NZVI) on dechlorinating bacteria A Rónavári, M Balázs, P Tolmacsov, C Molnár, I Kiss, Á Kukovecz, ... Water research 95, 165-173, 2016 | 57 | 2016 |
| Hsp70-associated chaperones have a critical role in buffering protein production costs Z Farkas, D Kalapis, Z Bódi, B Szamecz, A Daraba, K Almási, K Kovács, ... eLife 7, e29845, 2018 | 37 | 2018 |
| Gene loss and compensatory evolution promotes the emergence of morphological novelties in budding yeast Z Farkas, K Kovács, Z Sarkadi, D Kalapis, G Fekete, F Birtyik, F Ayaydin, ... Nature Ecology & Evolution, 1-11, 2022 | 21 | 2022 |
| Environmental properties of cells improve machine learning-based phenotype recognition accuracy T Toth, T Balassa, N Bara, F Kovacs, A Kriston, C Molnar, L Haracska, ... Scientific Reports 8 (1), 10085, 2018 | 20 | 2018 |
| Genome-wide RNAi screen identifies novel players in human 60S subunit biogenesis including key enzymes of polyamine metabolism K Dörner, L Badertscher, B Horváth, R Hollandi, C Molnár, T Fuhrer, ... Nucleic Acids Research, 2022 | 14 | 2022 |
| Regression plane concept for analysing continuous cellular processes with machine learning A Szkalisity, F Piccinini, A Beleon, T Balassa, IG Varga, E Migh, C Molnar, ... Nature communications 12 (1), 1-9, 2021 | 10 | 2021 |
| Active contours for selective object segmentation J Molnar, AI Szucs, C Molnar, P Horvath 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 9 | 2016 |
| A multi-layer phase field model for extracting multiple near-circular objects C Molnar, Z Kato, I Jermyn Pattern Recognition (ICPR), 2012 21st International Conference on, 1427-1430, 2012 | 8 | 2012 |
| A New Model for the Segmentation of Multiple, Overlapping, Near-Circular Objects C Molnar, Z Kato, IH Jermyn Digital Image Computing: Techniques and Applications (DICTA), 2015 …, 2015 | 6 | 2015 |
| An Object Splitting Model Using Higher-Order Active Contours for Single-Cell Segmentation J Molnar, C Molnar, P Horvath International Symposium on Visual Computing, 24-34, 2016 | 4 | 2016 |
| Multi-round recycling of green waste for the production of iron nanoparticles: synthesis, characterization, and prospects in remediation A Rónavári, M Balázs, Á Szilágyi, C Molnár, M Kotormán, I Ilisz, M Kiricsi, ... Nanoscale Research Letters 18 (1), 8, 2023 | 3 | 2023 |
| Piximi-An Images to Discovery web tool for bioimages and beyond LM Moser, N Gogoberidze, A Papaleo, A Lucas, D Dao, CA Friedrich, ... bioRxiv, 2024.06. 03.597232, 2024 | 1 | 2024 |
Peter HorvathSzeged, Helsinki, ETH Zurich, INRIA, Sophia AntipolisVerified email at brc.hu
