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In Press
Jimenez L, Vilardel F, Petit A, Dorca E, Soler-Monsó T, Ramos-Oliver I, et al.. Segmenting Invasive and In Situ Carcinoma in Breast WSIs with a Pretrained Histopathology Transformer. In 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in breast care - MICCAI2025. In Press.
2025
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.
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.
Solé A, Mosella-Montoro A, Cardona J, Gómez-Coca S, Aravena D, Ruiz E, et al.. A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid Estimation. Digital Discovery. 2025;.  (10.39 MB)
Sáez L, Rabanaque S, Casas J, Marqués F, Salembier P. Closing the Loop: Continuous AI Model Improvement Through Pathologist-Guided Feedback. In 21st European Congress on Digital Pathology. Barcelona: The European Society of Digital and Integrative Pathology; 2025.  (92.01 KB)
Hernandez C, Podlipnik S, Ficapal J, Puig S, Malvehy J, Vilaplana V. Comparative Analysis and Interpretability of Survival Models for Melanoma Prognosis. Computers in Biology and Medicine. 2025;190.
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.
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.
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.
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.
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.
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.
Cardona J, Solé A, Mella P, Aravena D, Ruiz-Hidalgo J, Gómez-Coca S, et al.. Exploring Hyperfine Coupling in Molecular Qubits. Chemical Science. 2025;(16):11291 - 11303.  (8.11 MB)
Cumplido-Mayoral I, Sánchez-Benavides G, Alomà MMilà, Falcon C, Cacciaglia R, Minguillon C, et al.. Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers. Molecular psychiatry. 2025;.
Cumplido-Mayoral I, Sánchez-Benavides G, Alomà MMilà, Falcon C, Cacciaglia R, Minguillon C, et al.. Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers. Molecular psychiatry. 2025;.
Manjabacas A, Chic O, García-Ladona E, Tuset VM, Morros JR, Sayrol E, et al.. Twenty years of AFORO: New developments and connections enhancing otolith research. Fisheries Research. 2025;281.
Manjabacas A, Chic O, García-Ladona E, Tuset VM, Morros JR, Sayrol E, et al.. Twenty years of AFORO: New developments and connections enhancing otolith research. Fisheries Research. 2025;281.
Manjabacas A, Chic O, García-Ladona E, Tuset VM, Morros JR, Sayrol E, et al.. Twenty years of AFORO: New developments and connections enhancing otolith research. Fisheries Research. 2025;281.
Lázaro JAntonio, Casas J, Royo S, Ruiz-Hidalgo J, Fàbrega JM, Martínez R, et al.. Verifying Key Performance Indicators across Multiple 6G-EWOC Demonstrations. In European Conference on Networks and Communications (EuCNC) . Poznan, Poland: IEEE; 2025.  (333.96 KB)
Lázaro JAntonio, Casas J, Royo S, Ruiz-Hidalgo J, Fàbrega JM, Martínez R, et al.. Verifying Key Performance Indicators across Multiple 6G-EWOC Demonstrations. In European Conference on Networks and Communications (EuCNC) . Poznan, Poland: IEEE; 2025.  (333.96 KB)
2024
Lázaro JA, Casas J, Ruiz-Hidalgo J, Cortada-Garcia M, Martín-Pey G, Salavedra-Pujol J, et al.. 6G-EWOC: Crowdsourced SLAM Data Fusion for Safe and Efficient ADAS Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (2.73 MB)
Lázaro JA, Casas J, Ruiz-Hidalgo J, Cortada-Garcia M, Martín-Pey G, Salavedra-Pujol J, et al.. 6G-EWOC: Crowdsourced SLAM Data Fusion for Safe and Efficient ADAS Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (2.73 MB)
Schrenk B, Theodoropoulou E, Lyberopoulos G, Marcus C, Eriksson O, Lázaro JA, et al.. 6G-EWOC: Optical Wireless Communication in Support of Autonomous Driving. In IEEE Future Networks World Forum: Symposium on Future Networks for Connected and Automated Mobility . Dubai: IEEE; 2024.  (1.22 MB)
Barrabés M, Perera M, Novelle V, Moriano X, Giró-i-Nieto X, Mas-Montserrat D, et al.. Advances in Biomedical Missing Data Imputation: A Survey. IEEE Access. 2024;.

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