| Mitoem dataset: Large-scale 3d mitochondria instance segmentation from em images D Wei, Z Lin, D Franco-Barranco, N Wendt, X Liu, W Yin, X Huang, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 99 | 2020 |
| Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes D Franco-Barranco, A Muñoz-Barrutia, I Arganda-Carreras Neuroinformatics 20 (2), 437-450, 2022 | 22 | 2022 |
| Deep learning based domain adaptation for mitochondria segmentation on EM volumes D Franco-Barranco, J Pastor-Tronch, A Gonzalez-Marfil, A Muñoz-Barrutia, ... Computer Methods and Programs in Biomedicine, 106949, 2022 | 16 | 2022 |
| A quantitative biophysical principle to explain the 3D cellular connectivity in curved epithelia P Gómez-Gálvez, P Vicente-Munuera, S Anbari, A Tagua, ... Cell Systems 13 (8), 631-643. e8, 2022 | 10 | 2022 |
| CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia JA Andres-San Roman, C Gordillo-Vazquez, D Franco-Barranco, ... Cell Reports Methods 3 (10), 2023 | 6* | 2023 |
| BiaPy: a ready-to-use library for Bioimage Analysis Pipelines D Franco-Barranco, JA Andrés-San Román, P Gómez-Gálvez, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 4 | 2023 |
| Building a bioimage analysis workflow using deep learning E Gómez-de-Mariscal, D Franco-Barranco, A Muñoz-Barrutia, ... Bioimage Data Analysis Workflows‒Advanced Components and Methods, 59-88, 2022 | 3 | 2022 |
| BiaPy: A unified framework for versatile bioimage analysis with deep learning D Franco-Barranco, JA Andres-San Roman, I Hidalgo-Cenalmor, ... bioRxiv, 2024.02. 03.576026, 2024 | 1 | 2024 |
| Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers L Backová, G Bengoetxea, S Rogalla, D Franco-Barranco, J Solon, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
| Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation D Franco-Barranco, Z Lin, WD Jang, X Wang, Q Shen, W Yin, Y Fan, M Li, ... IEEE Transactions on Medical Imaging, 1-1, 2023 | 1 | 2023 |
| A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features D Carnevali, L Zhong, E González-Almela, C Viana, M Rotkevich, A Wang, ... Nature Machine Intelligence, 1-13, 2024 | | 2024 |
| BiaPy: Bioimage analysis pipeline builder D Franco-Barranco, JA Andrés-San Román, I Hidalgo-Cenalmor, ... Astrophysics Source Code Library, ascl: 2406.016, 2024 | | 2024 |
| Characterizing structure formation through instance segmentation D López-Cano, J Stücker, MP Ibañez, RE Angulo, D Franco-Barranco Astronomy & Astrophysics 685, A37, 2024 | | 2024 |
| Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge D Franco-Barranco, A Gonzalez-Marfil, I Arganda-Carreras bioRxiv, 2024.04. 22.590525, 2024 | | 2024 |
| Videos of Embryonic Wound Healing in Drosophila and Wound Segmentation L Backova, S Rogalla, G Bengoetxea, D Franco-Barranco, ... Videos of Embryonic Wound Healing in Drosophila and Wound Segmentation, 2023 | | 2023 |
Ignacio Arganda-CarrerasIkerbasque Associate Researcher at University of the Basque Country, Biofisika Institute and DIPCDirección de correo verificada de ehu.eus
