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Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, et al.. Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.

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Ventura C, Varas D, Vilaplana V, Giró-i-Nieto X, Marques F. Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Processing: Image Communication. 2019;.

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Temprana-Salvador J, López-García P, Vives JCastellví, de Haro L, Ballesta E, Abusleme MRojas, et al.. DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals - Planification, Implementation and Preliminary Results. Diagnostics. 2022;12(4).

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Albors L, Spínola M, Marcello J, Marques F, Rodríguez-Esparragón D, Eugenio F. Análisis multiresolución espacial del estado de conservación de un bosque de laurisilvas con sensores pasivos y activos de teledetección. In XX Congreso de la Asociación Española de Teledetección. Cádiz, España: Universidad de Cádiz; 2024.

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Mederos-Barrera A, Albors L, Martinez G, Marcello J, Eugenio F, Marques F. Generación de mapas de comunidades y hábitats bentónicos mediante el modelo Deep Learning U-Net utilizando imágenes satelitales multiespectrales de muy alta resolución. In XX Congreso de la Asociación Española de Teledetección. Cádiz, España: Universidad de Cádiz; 2024.

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Marcello J, Spínola M, Albors L, Marques F, Rodríguez-Esparragón D, Eugenio F. Performance of Individual Tree Segmentation Algorithms in Forest Ecosystems Using UAV LiDAR Data. Drones. 2024;8(12).

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Albors L, Marcello J, Marques F. BiomSHARP: Biomass Super-Resolution for High Accuracy Prediction. IEEE Transactions on Geoscience and Remote Sensing. 2025;63:1-18.

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Marcello J, Spínola M, Albors L, Marques F, Rodríguez-Esparragón D, Eugenio F. Comparative Analysis of Tree Segmentation Techniques on High- and Low-Density LiDAR data. In International Conference on Advanced Remote Sensing (ICARS 2025). Basel, Switzerland: MDPI; 2025.

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Mederos-Barrera A, Albors L, Marques F, Marcello J, Martinez G, Eugenio F. Comparison of Conventional Machine Learning and Convolutional Deep Learning models for Seagrass Mapping using Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2025;:1-19.

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