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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; Submitted. |
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Pachón-García C, Hernandez C, Delicado P, Vilaplana V. SurvLIMEpy: A Python package implementing SurvLIME. Expert Systems With Applications. In Press . |
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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. |
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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. |
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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. |
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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. |
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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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Cumplido-Mayoral I, Mila-Aloma M, Lorenzini L, Wink AMeije, Mutsaerts H, Haller S, Chetelat G, Barkhof F, Suarez-Calvet M, Vilaplana V, 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. In: 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD). 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD). San Francisco, USA; 2022. |
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Hernandez C, Combalia M, Puig S, Malvehy J, Vilaplana V. Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours. In: Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). ; 2022. |
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Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, Menze B, Bakas S, Gal Y, Arbel T. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022 . |
