| DeepImageJ: A user-friendly environment to run deep learning models in ImageJ E Gómez-de-Mariscal, C García-López-de-Haro, W Ouyang, L Donati, ... Nature methods 18 (10), 1192-1195, 2021 | 179 | 2021 |
| Bioimage model zoo: a community-driven resource for accessible deep learning in bioimage analysis W Ouyang, F Beuttenmueller, E Gómez-de-Mariscal, C Pape, T Burke, ... BioRxiv, 2022.06. 07.495102, 2022 | 39 | 2022 |
| DeepImageJ: A user-friendly plugin to run deep learning models in ImageJ bioRxiv 2019, 799270 E Gómez-de-Mariscal, C García-López-de-Haro, L Donati, M Unser, ... Publisher Full Text, 0 | 4 | |
| JDLL: a library to run deep learning models on Java bioimage informatics platforms C García López de Haro, S Dallongeville, T Musset, E Gómez-de-Mariscal, ... Nature Methods, 1-2, 2024 | 1 | 2024 |
| Bridging the Gap: Integrating Cutting-edge Techniques into Biological Imaging with deepImageJ C Fuster-Barcelo, C Garcia Lopez de Haro, E Gomez-de-Mariscal, ... bioRxiv, 2024.01. 12.575015, 2024 | | 2024 |
| Reproducible User-Friendly Deep Learning Workflows for Microscopy Image Analysis with deepImageJ E Gómez-de-Mariscal, C García-López-de-Haro, C de-la-Torre-Gutiérrez, ... | | |
| DeepImageJ: Bridging Deep Learning to ImageJ E Gomez-de-Mariscal, C Garcia-Lopez-de-Haro, L Donati, M Unser, ... | | |
