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Author Title Type [ Year(Asc)]
In Press
Pina O, Vilaplana V. Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems,. In Press;.
2025
Wang M, Li D, Casas J, Ruiz-Hidalgo J. Adaptive Fusion of LiDAR Features for 3D Object Detection in Autonomous Driving. Sensors. 2025;25(13).  (4.09 MB)
Jimenez L, Hernandez C, Vilaplana V. Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers. In Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care. Springer; 2025.
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.
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)
Calm B, Cumplido-Mayoral I, Gispert JDomingo, Vilaplana V. Identifying brain ageing trajectories using variational autoencoders. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2025.
Lo Anguera J, Ruiz-Hidalgo J, Solé A, Casas J, Lázaro JA, Sarmiento S, et al.. Leveraging Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In IEEE International Conference on Machine Learning for Communication and Networking. Barcelona: IEEE; 2025.  (1.41 MB)
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Riu J, Casas J, et al.. Multimodal data acquisition prototype for autonomous driving in adverse weather conditions. In XIV Reunión OptoElectrónica (OPTOEL 2025). Terrassa, Spain: OPTOEL; 2025.  (745.34 KB)
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Casas J, Royo S. Multimodal sensing prototype for robust autonomous driving under adverse weather conditions. In SPIE Optical Metrology: Optical Measurement Systems for Industrial Inspection XIV. Munich, Germany: SPIE; 2025.  (11.69 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;.
Lo Anguera J, Lázaro JA, Ruiz-Hidalgo J, Solé A, Casas J, Sarmiento S, et al.. Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In 1st Intl. Workshop on Quantum Computing and Artificial Intelligence (QC+AI 2025) . Philadelphia: Association for the Advancement of Artificial Intelligence (AAAI); 2025.  (851.1 KB)
Lems CM, Klubíčková N, Brattoli B, Lee T, Vilaplana V, Fernández PLuis, et al.. Towards a multicentric open DigitAL PatHology assIstant beNchmark: Initial Results from the DALPHIN Study. In United States & Canadian Academy of Pathology 114th Annual Meeting (USCAP 2025). Boston, USA: Laboratory Investigation, Volume 105, Issue 3, Supplement, 2025, 103609, ISSN 0023-6837; 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.
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.
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.

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