| Few-Shot Learning approach for plant disease classification using images taken in the field D Argüeso, A Picon, U Irusta, A Medela, MG San-Emeterio, A Bereciartua, ... Computers and Electronics in Agriculture 175, 105542, 2020 | 394 | 2020 |
| MRI deep learning-based solution for Alzheimer’s disease prediction CL Saratxaga, I Moya, A Picón, M Acosta, ... Journal of personalized medicine 11 (9), 902, 2021 | 155 | 2021 |
| Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets A Picon, MG San-Emeterio, A Bereciartua-Perez, C Klukas, T Eggers, ... Computers and Electronics in Agriculture 194, 106719, 2022 | 86 | 2022 |
| Insect counting through deep learning-based density maps estimation A Bereciartua-Pérez, L Gómez, A Picón, R Navarra-Mestre, C Klukas, ... Computers and Electronics in Agriculture 197, 106933, 2022 | 60 | 2022 |
| Analysis of few-shot techniques for fungal plant disease classification and evaluation of clustering capabilities over real datasets I Egusquiza, A Picon, U Irusta, A Bereciartua-Perez, T Eggers, C Klukas, ... Frontiers in Plant Science 13, 813237, 2022 | 43 | 2022 |
| Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization A Bereciartua, A Picon, A Galdran, P Iriondo Biomedical Signal Processing and Control 20, 71-77, 2015 | 35 | 2015 |
| Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation A Picon, A Bereciartua-Perez, I Eguskiza, J Romero-Rodriguez, ... Artificial Intelligence in Agriculture 6, 199-210, 2022 | 21 | 2022 |
| Multiclass insect counting through deep learning-based density maps estimation A Bereciartua-Pérez, L Gómez, A Picón, R Navarra-Mestre, C Klukas, ... Smart Agricultural Technology 3, 100125, 2023 | 19 | 2023 |
| 3D active surfaces for liver segmentation in multisequence MRI images A Bereciartua, A Picon, A Galdran, P Iriondo Computer methods and programs in biomedicine 132, 149-160, 2016 | 17 | 2016 |
| Damage assessment of soybean and redroot amaranth plants in greenhouse through biomass estimation and deep learning-based symptom classification L Gómez-Zamanillo, A Bereciartua-Pérez, A Picón, L Parra, ... Smart Agricultural Technology 5, 100243, 2023 | 12 | 2023 |
| 3D high precision tube bevel measurement using laser based rotating scanner A Picon, A Bereciartua, JA Gutierrez, J Perez 2006 IEEE Conference on Emerging Technologies and Factory Automation, 1190-1197, 2006 | 11 | 2006 |
| 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 | 10 | 2025 |
| Deep learning-based method for accurate real-time seed detection in glass bottle manufacturing A Bereciartua-Perez, G Duro, J Echazarra, FJ González, A Serrano, ... Applied Sciences 12 (21), 11192, 2022 | 8 | 2022 |
| Hyperspectral dataset and deep learning methods for waste from electric and electronic equipment identification (weee) A Picon, P Galan, A Bereciartua-Perez, L Benito-del-Valle arXiv preprint arXiv:2407.04505, 2024 | 7 | 2024 |
| Crop-conditional semantic segmentation for efficient agricultural disease assessment A Picon, I Eguskiza, P Galan, L Gomez-Zamanillo, J Romero, C Klukas, ... Artificial Intelligence in Agriculture 15 (1), 79-87, 2025 | 6 | 2025 |
| Desarrollo de algoritmos de procesamiento de imagen avanzado para interpretación de imágenes médicas. Aplicación a segmentación de hígado sobre imágenes de Resonancia Magnética … A Bereciartua Doctoral dissertation, 2016 | 6 | 2016 |
| Automatic slag characterization based on hyperspectral image processing S Rodriguez, A Picon, JA Gutierrez, A Bereciartua, P Iriondo 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation …, 2010 | 6 | 2010 |
| Automation of waste recycling using hyperspectral image analysis. Emerging Technologies and Factory Automation (ETFA) Conference A Picón, O Ghita, PM Iriondo, A Bereciartua, PF Whelan IEEE, 2010 | 5 | 2010 |
| Sistema basado en identificación multiespectral para la separación de metales no férricos en WEEE en procesos de logística inversa. Primer Congreso de Logística y Gestión de la … A Bereciartúa, J Echazarra Zaragoza España 12, 2007 | 5 | 2007 |
| Estimation of flea beetle damage in the field using a multistage deep learning-based solution A Bereciartua-Pérez, M Monzón, D Múgica, G De Both, J Baert, B Hedges, ... Artificial Intelligence in Agriculture 13, 18-31, 2024 | 4 | 2024 |
