Search Publication
] . Analysis and optimization of the K-Means algorithm for remote sensing applications. In Pattern recognition and image analysis. 1992. pp. 0–0.
. Analisis de no estacionariedades en la interpolacion de imagenes. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 985–989.
. Oil Spills Detection in SAR Images using Mathematical Morphology. In 11th European Signal Processing Conference (EUSIPCO 2002). 2002. pp. 25–28.
. Analisis y optimizacion del algoritmo k-means aplicado a teledeteccion en ima. In IV Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1990. pp. 17–23.
. Técnicas de preprocesado para la segmentación de imágenes. In VII Simposium Nacional de la Unión Científica Internacional de Radio. 1992. pp. 367–371.
. Character recognition and document analysis by morphological techniq. In MATHEMATICAL MORPHOLOGY. 1993. pp. 198–203.
. Contour extraction and image preprocessing of echocardiographic images using r. In Latvian Signal Processing International Conference. 1990. pp. 26–30.
. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.
. PixInWav: Residual Steganography for Hiding Pixels in Audio. In ICASSP. 2022. 
(5.77 MB)
(5.77 MB). Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
. AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation. Data in Brief. 2024;52.
. Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D. In Congreso Ibérico de Agroingeniería. Huesca: Universidad de Zaragoza (UZA); 2019. (1.21 MB)
(1.21 MB). Video-Based Fruit Detection and Tracking for Apple Counting and Mapping. In IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). 2023. (680.49 KB)
(680.49 KB). KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. Data in Brief. 2019;. (2.43 MB)
(2.43 MB). Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Computers and Electronics in Agriculture. 2023;209. (9.02 MB)
(9.02 MB). Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.
. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
. Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. 2020;Data in Brief(Vol. 30).
. Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.
. Synthesis of Prostate MRI Scans: A Comparison of StyleGAN2-ADA and Latent Diffusion Models. In Conferencia de la Asociación Española para la Inteligencia Artificial, IABioMed workshop. 2024.
. Sistema de gestió de vídeo off-line per una smart-room. . 2007. (4.54 MB)
(4.54 MB). A new approach to texture coding using stochastic vector quantization. In IEEE International Conference on Image Processing'94. 1994. pp. 119–123.