| Automatic red-channel underwater image restoration A Galdran, D Pardo, A Picón, A Alvarez-Gila Journal of Visual Communication and Image Representation 26, 132-145, 2015 | 1102 | 2015 |
| Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild A Picon, A Alvarez-Gila, M Seitz, A Ortiz-Barredo, J Echazarra, ... Computers and Electronics in Agriculture 161, 280-290, 2019 | 647 | 2019 |
| Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case A Johannes, A Picon, A Alvarez-Gila, J Echazarra, ... Computers and electronics in agriculture 138, 200-209, 2017 | 528 | 2017 |
| 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 |
| Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions A Picon, M Seitz, A Alvarez-Gila, P Mohnke, A Ortiz-Barredo, J Echazarra Computers and Electronics in Agriculture 167, 105093, 2019 | 257 | 2019 |
| Deep learning to find colorectal polyps in colonoscopy: A systematic literature review LF Sanchez-Peralta, L Bote-Curiel, A Picon, FM Sanchez-Margallo, ... Artificial intelligence in medicine 108, 101923, 2020 | 195 | 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 |
| Fuzzy spectral and spatial feature integration for classification of nonferrous materials in hyperspectral data A Picón, O Ghita, PF Whelan, PM Iriondo IEEE Transactions on Industrial Informatics 5 (4), 483-494, 2009 | 142 | 2009 |
| Few shot learning in histopathological images: reducing the need of labeled data on biological datasets A Medela, A Picon, CL Saratxaga, O Belar, V Cabezón, R Cicchi, R Bilbao, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 109 | 2019 |
| Piccolo white-light and narrow-band imaging colonoscopic dataset: A performance comparative of models and datasets LF Sánchez-Peralta, JB Pagador, A Picón, ÁJ Calderón, F Polo, ... Applied Sciences 10 (23), 8501, 2020 | 103 | 2020 |
| Deep neural networks for ECG-based pulse detection during out-of-hospital cardiac arrest A Elola, E Aramendi, U Irusta, A Picón, E Alonso, P Owens, A Idris Entropy 21 (3), 305, 2019 | 98 | 2019 |
| 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 |
| Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia A Picon, U Irusta, A Álvarez-Gila, E Aramendi, F Alonso-Atienza, ... PloS one 14 (5), e0216756, 2019 | 86 | 2019 |
| A deep learning approach to the inversion of borehole resistivity measurements M Shahriari, D Pardo, A Picón, A Galdran, J Del Ser, C Torres-Verdín Computational Geosciences 24 (3), 971-994, 2020 | 77 | 2020 |
| 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 |
| Real-time hyperspectral processing for automatic nonferrous material sorting A Picón, O Ghita, A Bereciartua, J Echazarra, PF Whelan, PM Iriondo Journal of Electronic Imaging 21 (1), 013018-013018, 2012 | 55 | 2012 |
| Error control and loss functions for the deep learning inversion of borehole resistivity measurements M Shahriari, D Pardo, JA Rivera, C Torres‐Verdín, A Picon, J Del Ser, ... International Journal for Numerical Methods in Engineering 122 (6), 1629-1657, 2021 | 53 | 2021 |
| Unravelling the effect of data augmentation transformations in polyp segmentation LF Sánchez-Peralta, A Picón, FM Sánchez-Margallo, JB Pagador International journal of computer assisted radiology and surgery 15 (12 …, 2020 | 46 | 2020 |
| 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 |
| Constellation loss: Improving the efficiency of deep metric learning loss functions for the optimal embedding of histopathological images A Medela, A Picon Journal of Pathology Informatics 11 (1), 38, 2020 | 38 | 2020 |
Arantza BereciartuaTecnalia Research & InnovationVerified email at tecnalia.com
