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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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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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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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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). Medical Imaging with Deep Learning (MIDL 2022). ; 2022. |
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Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, Mila-Aloma M, Calvet MSuarez, Vilaplana V, Gispert JD. 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. Alzheimer's Association International Conference. ; 2022. |
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Cumplido-Mayoral I, Salvadó G, Shekari M, Falcon C, Alomà MMilà, Baizán ANiñerola, Molinuevo JLuis, Zetterberg H, Blennow K, Calvet MSuarez, 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. Alzheimer's Association International Conference. ; 2021. |
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Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, Wolz R, Palombit A, Schwarz AJ, Chetelat G, et al. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2021. |
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Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, Baizán ANiñerola, Perissinotti A, Minguillon C, Fauria K, 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. Alzheimer's Association International Conference. ; 2021. |
