Computer vision applications to the study of sea-ice motion in Antarctica. - Salvador Gutiérrez; David G. Long (IGARSS, 2002)

Optical flow and scale-space theory applied to sea-ice motion estimation in Antarctica. - Salvador Gutiérrez; David G. Long (IGARSS, 2003)

Robust approach for disparity estimation in stereo vision. - Salvador Gutiérrez; José L. Marroquín (Image Vis. Comput., 2004)

Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis. - Arturo Aquino; Borja Millán; Salvador Gutiérrez; Javier Tardáguila (Comput. Electron. Agric., 2015)

Landmark-based music recognition system optimisation using genetic algorithms. - Salvador Gutiérrez; Salvador García 001 (Multim. Tools Appl., 2016)

Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions. - Salvador Gutiérrez; Javier Tardáguila; Juan Fernández-Novales; María-Paz Diago (Sensors, 2016)

Ground based hyperspectral imaging for extensive mango yield estimation. - Salvador Gutiérrez; Alexander Wendel; James Patrick Underwood (Comput. Electron. Agric., 2019)

Spectral filter design based on in-field hyperspectral imaging and machine learning for mango ripeness estimation. - Salvador Gutiérrez; Alexander Wendel; James Patrick Underwood (Comput. Electron. Agric., 2019)

Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions. - Salvador Gutiérrez; Inés Hernández; Sara Ceballos; Ignacio Barrio; Ana Díez Navajas; Javier Tardáguila (Comput. Electron. Agric., 2021)

Evolutionary conditional GANs for supervised data augmentation: The case of assessing berry number per cluster in grapevine. - Salvador Gutiérrez; Javier Tardáguila (Appl. Soft Comput., 2023)

Multi-sensor spectral fusion to model grape composition using deep learning. - Salvador Gutiérrez; Juan Fernández-Novales; Teresa Garde-Cerdán; Sandra Marín-San Román; Javier Tardáguila; María-Paz Diago (Inf. Fusion, 2023)

In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine. - Inés Hernández; Salvador Gutiérrez; Ignacio Barrio; Rubén Íñiguez; Javier Tardáguila (Comput. Electron. Agric., 2024)

Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions. - Rubén Íñiguez; Salvador Gutiérrez; Carlos Poblete-Echeverría; Inés Hernández; Ignacio Barrio; Javier Tardáguila (Comput. Electron. Agric., 2024)