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Conference Paper
Cumplido-Mayoral I, Garcia-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, et al.. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration. In Alzheimer's Association International Conference. In Press.
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
Cumplido-Mayoral I, Salvadó G, Shekari M, Falcon C, Alomà MMilà, Baizán ANiñerola, et al.. Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease. In Alzheimer's Association International Conference. 2021.
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. In Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI. Granada, Spain; 2018.
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). In Press.
Puch S, Aduriz A, Casamitjana A, Vilaplana V, Gispert JD. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In NIPS 2016 Workshop on Machine Learning for Health. 2016.  (1.6 MB)