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Calm B, Cumplido-Mayoral I, Gispert JDomingo, Vilaplana V. Identifying brain ageing trajectories using variational autoencoders with regression model in neuroimaging data stratified by sex and validated against dementia-related risk factors. In: 7th International Workshop on PRedictive Intelligence in MEdicine, MICCAI 2024. 7th International Workshop on PRedictive Intelligence in MEdicine, MICCAI 2024. ; In Press. |
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Mayoral ICumplido, Vilaplana V, Gispert JD. BIOLOGICAL BRAIN-AGE PREDICTION USING MACHINE LEARNING ON NEUROIMAGING DATA: LINKS WITH PATHOPHYSIOLOGICAL MECHANISMS, DEMENTIA RISK FACTORS AND COGNITIVE DECLINE. Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra. 2024 ;Doctorate program in Biomedicine. |
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Cumplido-Mayoral I, Brugulat-Serra A, Sánchez-Benavides G, Molinuevo JLuis, Suarez-Calvet M, Vilaplana V, Gispert JDomingo. The mediating role of neuroimaging-derived biological brain age between risk factors for dementia and cognitive decline in middle/late-aged asymptomatic individuals: a cohort study. The Lancet Healthy Longevity. 2024 . |
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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. |
