| When synthetic plants get sick: Disease graded image datasets by novel regression-conditional diffusion models I Egusquiza, L Benito-Del-Valle, A Picón, A Bereciartua-Pérez, ... Computers and Electronics in Agriculture 229, 109690, 2025 | 11 | 2025 |
| On the analysis of adapting deep learning methods to hyperspectral imaging. Use case for WEEE recycling and dataset A Picon, P Galan, A Bereciartua-Perez, L Benito-del-Valle Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 330, 125665, 2025 | 9* | 2025 |
| Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification L Benito-Del-Valle, A Alvarez-Gila, I Eguskiza, CL Saratxaga European Conference on Computer Vision, 139-155, 2024 | 3 | 2024 |
| Vision Foundation Models in Agriculture: Toward Domain-Specific Adaptation for Weed Herbicide Trials Assessment L Benito-Del-Valle, A Picón, D Mugica, M Ramos, E Portillo, J Romero, ... arXiv preprint arXiv:2511.04288, 2025 | | 2025 |
| Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection Competition L Benito-Del-Valle, PA Moreno-Sánchez, I Egusquiza, I Vitoria, A Picón, ... arXiv preprint arXiv:2509.02612, 2025 | | 2025 |
| AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models U Delaquintana-Aramendi, L Benito-del-Valle, A Alvarez-Gila, J Pascau, ... arXiv preprint arXiv:2503.24138, 2025 | | 2025 |
| Synthetic images for damaged regions detection in wind turbine blades L Benito-Del-Valle, D Mugica, A Picón, A Bereciartua-Pérez Available at SSRN 6104333, 0 | | |
| Latent Diffusion Meets Semi-Supervised learning: Enhancing Plant Disease Detection with Minimal Labels I Egusquiza, A Picón, L Benito-Del-Valle, A Bereciartua-Pérez, L Gómez, ... Available at SSRN 5733724, 0 | | |
| Assessment of the Potential of In-Line Spectroscopy Techniques combined with CNN model for Classifying the Fine Fraction in CDW C Folgoso-Bullejos, V García-Cortés, JA Iturrioz, P Galán, ... Scientific committee, 289, 0 | | |
