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2025
Pina O, Dorca E, Vilaplana V. Unsupervised Domain Adaptation for Cell Detection Across Histopathological Stains. In 21st European Congress on Digital Pathology. Barcelona: The European Society of Digital and Integrative Pathology; 2025.  (601.11 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)
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;.
Gené-Mola J, Ferrer-Ferrer M, Hemming J, Dalfsen P, Hoog D, Sanz-Cortiella R, et al.. 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.
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.
Hernandez C, Combalia M, Podlipnik S, Codella NCF, Rotemberg V, Halpern AC, et al.. Bcn20000: Dermoscopic lesions in the wild. Nature - Scientific Data. 2024;11.
Cumplido-Mayoral I. Biological brain-age prediction using Machine Learning on neuroimaging data: Links with pathophysiological mechanisms, dementia risk factors and cognitive decline. Vilaplana V, Gispert JD. Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra. 2024.
Jimenez L, Hernandez C, Vilaplana V. Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers. In Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, MICCAI 2024. 2024.
Hernandez C, Jimenez L, Vilaplana V. Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop). 2024.
Pina O, Dorca E, Vilaplana V. Cell-DETR: Efficient cell detection and classification in WSIs with transformers. In Medical Imaging with Deep Learning (MIDL 2024). 2024.
Perez-Cano J, Valero ISansano, Anglada D, Pina O, Salembier P, Marqués F. Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue. Heliyon. 2024;10(7).  (4.05 MB)
Anglada D, Sala J, Marqués F, Salembier P, Pardàs M. Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE; 2024.  (838.72 KB)
Blanco JA, Pardàs M, Casas J, Paugam R, Àgueda A, Wagner J, et al.. Estimation of 3D Shape and Volume of Fire Plumes from Multiple Views. In 4th European Symposium on Fire Safety Science. Barcelona: IOP J. Phys.: Conf. Ser.; 2024.  (708.59 KB)
Blanco JA, Pardàs M, Casas J, Paugam R, Àgueda A, Wagner J, et al.. Estimation of 3D Shape and Volume of Fire Plumes from Multiple Views. IOP J. Phys.: Conf. Ser. 2024;2885.  (818.71 KB)
Dios F, Torres-Benito S, Lázaro JA, Casas J, Pinazo J, Lerín A. Experimental evaluation of a MIMO radar performance for ADAS application. Telecom. 2024;5(3):508-521.  (1.15 MB)
Reixach D, Morros JR. Fast unsupervised tensor restoration via low-rank deconvolution. In IEEE International Conference on Image Processing (ICIP). Abu Dhabi: IEEE; 2024.
Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. 2024;289.
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.
Bonet D, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. HyperFast: Instant Classification for Tabular Data. In 38th Annual AAAI Conference on Artificial Intelligence (AAAI). 2024.  (3.15 MB)
Schürholt K. Hyper-Representations: Learning from Populations of Neural Networks. Mahoney M, Giró-i-Nieto X, Borth D. University of St. Gallen. 2024.  (18.12 MB)
Calm B, Cumplido-Mayoral I, Gispert JDomingo, Vilaplana V. Identifying brain ageing trajectories using variational autoencoders with regression model in neuroimaging data stratified by sex and validated against dementia-related risk factors. In 7th International Workshop on PRedictive Intelligence in MEdicine, MICCAI 2024. 2024.
Hernandez C. Implementation of personalized medicine in malignant melanoma patients aided by artificial intelligence. Vilaplana V. Signal Theory and Communications. 2024.
Hernandez C, Pachón-García C, Delicado P, Vilaplana V. Interpreting Machine Learning Models for Survival Analysis: A Study of Cutaneous Melanoma Using the SEER Database. In Explainable Artificial Intelligence and Process Mining Applications for Healthcare,. Springer, Cham; 2024.

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