Biomedical Applications

Type Start End
Internal Jan 2012 Dec 2026
Responsible URL
Verónica Vilaplana

Publications

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)
Pachón-García C, Hernandez C, Delicado P, Vilaplana V. SurvLIMEpy: A Python package implementing SurvLIME. Expert Systems With Applications. 2024 ;237, Part C.
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,. Vol. 2020. Explainable Artificial Intelligence and Process Mining Applications for Healthcare,. Springer, Cham; 2024.
Pina O, Vilaplana V. Layer-wise self-supervised learning on graphs. In: KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023.
Cumplido-Mayoral I, Brugulat-Serrat A, Sánchez-Benavides G, González-Escalante A, Anastasi F, Mila-Aloma M, Falcon C, Shekari M, Cacciaglia R, Minguillon C, et al. Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum. In: Alzheimer’s Association International Conference (AAIC). Alzheimer’s Association International Conference (AAIC). Amsterdam, Netherlands; 2023.
Cumplido-Mayoral I, Mila-Aloma M, Falcon C, Cacciaglia R, Minguillon C, Fauria K, Molinuevo JLuis, Vilaplana V, Gispert JD. Brain-age prediction and its associations with glial and synaptic CSF markers. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. Amsterdam, Netherlands; 2023.
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: XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023). XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023). Portoroz, Slovenia; 2023.
Pardàs M, Anglada D, Espina M, Marques F, Salembier P. Stromal tissue segmentation in Ki67 histology images based on cytokeratin-19 stain translation. JOURNAL OF MEDICAL IMAGING. 2023 ;10(3). (13.78 MB)
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, Mila-Aloma M, Lorenzini L, Minguillon C, Molinuevo JLuis, et al. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration stratified by sex. eLife. 2023 ;12.
Pina O, Vilaplana V. Self-supervised graph representations of WSIs. In: Geometric Deep Learning in Medical Image Analysis. Geometric Deep Learning in Medical Image Analysis. ; 2022.

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