Automatic Red-Channel underwater image restoration. - Adrian Galdran; David Pardo; Artzai Picón; Aitor Alvarez-Gila (J. Vis. Commun. Image Represent., 2015)

Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB. - Aitor Alvarez-Gila; Joost van de Weijer 001; Estíbaliz Garrote (ICCV Workshops, 2017)

Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case. - Alexander Johannes; Artzai Picón; Aitor Alvarez-Gila; Jone Echazarra; Sergio Rodríguez-Vaamonde; Ana Díez Navajas; Amaia Ortiz-Barredo (Comput. Electron. Agric., 2017)

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. - Adrian Galdran; Aitor Alvarez-Gila; Maria Inês Meyer; Cristina López Saratxaga; Teresa Araujo; Estíbaliz Garrote; Guilherme Aresta; Pedro Costa 005; Ana Maria Mendonça; Aurélio J. C. Campilho (CoRR, 2017)

On the Duality Between Retinex and Image Dehazing. - Adrian Galdran; Aitor Alvarez-Gila; Alessandro Bria; Javier Vazquez-Corral; Marcelo Bertalmío (CVPR, 2018)

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild. - Artzai Picón; Aitor Alvarez-Gila; Maximiliam Seitz; Amaia Ortiz-Barredo; Jone Echazarra; Alexander Johannes (Comput. Electron. Agric., 2019)

Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions. - Artzai Picón; Maximiliam Seitz; Aitor Alvarez-Gila; Patrick Mohnke; Amaia Ortiz-Barredo; Jone Echazarra (Comput. Electron. Agric., 2019)

Self-supervised blur detection from synthetically blurred scenes. - Aitor Alvarez-Gila; Adrian Galdran; Estíbaliz Garrote; Joost van de Weijer 001 (Image Vis. Comput., 2019)

Few-Shot Learning approach for plant disease classification using images taken in the field. - David Argüeso; Artzai Picón; Unai Irusta; Alfonso Medela; Miguel G. San-Emeterio; Arantza Bereciartua 001; Aitor Alvarez-Gila (Comput. Electron. Agric., 2020)

A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials. - Artzai Picón; Aitor Alvarez-Gila; Jose Antonio Arteche; Gabriel A. López; Asier Vicente (IEEE Access, 2021)

MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation. - Aitor Alvarez-Gila; Joost van de Weijer 001; Yaxing Wang; Estíbaliz Garrote (ICIP, 2022)

Self-supervised learning for image-to-image translation in the small data regime - Aitor Alvarez-Gila (2022)

Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification. - Leire Benito-Del-Valle; Aitor Alvarez-Gila; Itziar Eguskiza; Cristina López Saratxaga (ECCV Workshops (16), 2024)

Semi-Supervised Approach for Automatic Counting of Whiteflies With Small Annotated Dataset. - Laura Gómez-Zamanillo; Arantza Bereciartua 001; Andoni Elola; Artzai Picón; Aitor Alvarez-Gila; Itziar Egusquiza; Ramón Navarra-Mestre (IEEE Access, 2025)

AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models. - Uxue Delaquintana-Aramendi; Leire Benito-Del-Valle; Aitor Alvarez-Gila; Javier Pascau; Luisa F. Sánchez-Peralta; Artzai Picón; José B. Pagador; Cristina López Saratxaga (CoRR, 2025)