Publications

Book Chapters & Books top

2025
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.
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.
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.
2021
Mora L, Vilaplana V. MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Springer International Publishing; 2021. pp. 376-390.
2019
Bellot P, Salembier P, Pham NC, Meyer PE. Unsupervised GRN Ensemble. In Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . New York, NY: Springer science, Humana Press; 2019. pp. 283-302.

Conference Papers top

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)
Lems CM, Klubíčková N, Brattoli B, Lee T. 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.
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.
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)
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)