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Author Title Type [ Year(Desc)]
2024
Blanco JA, Pardàs M, Casas J, Paugam R, Agueda 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)
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.
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.
Seguí A, Ugalde A, Ventosa S, Morros JR. Lossless and Lossy Compression for Distributed Acoustic Sensing Using Inter-channel Predictions. In SSA Photonic Seismology 2024. Vancouver; 2024.
Cumplido-Mayoral I, Brugulat-Serra A, Sánchez-Benavides G, Molinuevo JLuis, Suarez-Calvet M, Vilaplana V, et al.. The mediating role of neuroimaging-derived biological brain age between risk factors for dementia and cognitive decline in middle/late-aged asymptomatic individuals: a cohort study. The Lancet Healthy Longevity. 2024;.
Pachón-García C, Hernandez C, Delicado P, Vilaplana V. SurvLIMEpy: A Python package implementing SurvLIME. Expert Systems With Applications. 2024;237, Part C.
Giardina C, Vilaplana V, Pardàs M, Guardia O. 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.
Theodoropoulou E, Lyberopoulos G, Setaki F, García-Gómez P, Royo S, Marcus C, et al.. Towards AI-Enhanced Fibre-Wireless Optical 6G Network in Support of Connected Mobility. In Athens: IEEE; 2024.  (1.13 MB)
Pina O, Vilaplana V. Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop). 2024.
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)
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 JAntonio, 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)
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, , 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.

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