| 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 | 851 | 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 | 466 | 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 | 415 | 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 | 253 | 2020 |
| Ntire 2018 challenge on spectral reconstruction from rgb images B Arad, O Ben-Shahar, R Timofte Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 230 | 2018 |
| 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 | 180 | 2019 |
| NTIRE 2018 Challenge on Image Dehazing: Methods and Results C Ancuti, CO Ancuti, R Timofte, L Van Gool, L Zhang, MH Yang, VM Patel, ... The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018 | 174 | 2018 |
| On the Duality Between Retinex and Image Dehazing A Galdran, A Alvarez-Gila, A Bria, J Vazquez-Corral, M Bertalmío The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp …, 2018 | 131 | 2018 |
| Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB A Alvarez-Gila, J van de Weijer, E Garrote 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 480-490, 2017 | 103 | 2017 |
| Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis A Galdran, A Alvarez-Gila, MI Meyer, CL Saratxaga, T Araújo, E Garrote, ... arXiv preprint arXiv:1703.03702, 2017 | 87 | 2017 |
| 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 | 70 | 2019 |
| Why deep learning performs better than classical machine learning A Picon, A Alvarez-Gila, U Irusta, J Echazarra Dyna Ing. Ind 95, 119-122, 2020 | 25 | 2020 |
| System and Method for Detecting Plant Diseases J Alexander, T Eggers, A Picon, A Alvarez-gila, AM Ortiz Barredo, ... US Patent App. 16/300,988, 2020 | 12* | 2020 |
| Self-supervised blur detection from synthetically blurred scenes A Alvarez-Gila, A Galdran, E Garrote, J Van de Weijer Image and Vision Computing 92, 103804, 2019 | 9 | 2019 |
| A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials A Picon, A Alvarez-Gila, JA Arteche, GA López, A Vicente IEEE Access 9, 100513-100529, 2021 | 5 | 2021 |
| Detección de fibrilación ventricular mediante técnicas de aprendizaje profundo A Picon, U Irusta, A Alvarez-Gila, E Aramendi, E Garrote, U Ayala, ... CASEIB 2017 - XXXV Congreso Anual de la Sociedad Espanola de Ingeniería …, 2017 | 3 | 2017 |
| Quantifying plant infestation by estimating the number of biological objects on leaves, by convolutional neural networks that use training images obtained by a semi-supervised … A Bereciartua-Perez, AP Ruiz, AA GILA, JE HUGUET, T Eggers, C Klukas, ... US Patent App. 17/799,829, 2023 | 2 | 2023 |
| System and method for detecting plant diseases J ALEXANDER, T EGGERS, A PICON, A ALVAREZ-GILA, ... | 2 | 2017 |
| SYSTEM AND METHOD FOR PLANT DISEASE DETECTION SUPPORT A Picon, M Nachtmann, M Seitz, P Mohnke, R Navarra-mestre, ... US Patent App. 17/611,517, 2022 | 1 | 2022 |
| Automatic Detection of Nuclear Spins at Arbitrary Magnetic Fields via Signal-to-Image AI Model B Varona-Uriarte, C Munuera-Javaloy, E Terradillos, Y Ban, ... Physical Review Letters 132 (15), 150801, 2024 | | 2024 |
Artzai PiconComputer Vision/Artificial Intelligence, TECNALIA, Basque Research and Technology Alliance (BRTA)在 tecnalia.com 的电子邮件经过验证
