Publicaciones en las que colabora con MARÍA NIEVES CABRERA MARTÍN (25)

2024

  1. Deep Learning For Predicting Cerebral Metabolism Changes Along The Alzheimer’s Disease Continuum

    Proceedings IMCIC - International Multi-Conference on Complexity, Informatics and Cybernetics

  2. Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI

    NeuroImage, Vol. 297

2023

  1. FDG-PET-based neural correlates of Addenbrooke’s cognitive examination III scores in Alzheimer’s disease and frontotemporal degeneration

    Frontiers in Psychology, Vol. 14

2022

  1. Design and Verbal Fluency in Alzheimer's Disease and Frontotemporal Dementia: Clinical and Metabolic Correlates

    Journal of the International Neuropsychological Society, Vol. 28, Núm. 9, pp. 947-962

  2. GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms

    Medical and Biological Engineering and Computing, Vol. 60, Núm. 9, pp. 2737-2756

  3. Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging

    Frontiers in Aging Neuroscience, Vol. 13

  4. Identification of the main components of spontaneous speech in primary progressive aphasia and their neural underpinnings using multimodal MRI and FDG-PET imaging

    Cortex, Vol. 146, pp. 141-160

  5. Neural basis of visuospatial tests in behavioral variant frontotemporal dementia

    Frontiers in Aging Neuroscience, Vol. 14

  6. Neuropsychological, Metabolic, and Connectivity Underpinnings of Semantic Interference Deficits Using the LASSI-L

    Journal of Alzheimer's disease : JAD, Vol. 90, Núm. 2, pp. 823-840

2021

  1. Personalized Repetitive Transcranial Magnetic Stimulation for Primary Progressive Aphasia

    Journal of Alzheimer's disease : JAD, Vol. 84, Núm. 1, pp. 151-167

  2. Validation technique and improvements introduced in a new dedicated brain positron emission tomograph (CareMiBrain)

    Revista Espanola de Medicina Nuclear e Imagen Molecular, Vol. 40, Núm. 4, pp. 239-248

  3. “Brain Fog” by COVID-19 or Alzheimer’s Disease? A Case Report

    Frontiers in Psychology, Vol. 12

2020

  1. Amyloid PET findings in multiple sclerosis are associated with cognitive decline at 18 months

    Multiple Sclerosis and Related Disorders, Vol. 39

  2. Posterior Cingulate Cortex Hypometabolism in Non-Amnestic Variants of Alzheimer's Disease

    Journal of Alzheimer's Disease, Vol. 77, Núm. 4, pp. 1569-1577

  3. Reading prosody in the non-fluent and logopenic variants of primary progressive aphasia

    Cortex, Vol. 132, pp. 63-78

2019

  1. An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders

    BMC Bioinformatics, Vol. 20, Núm. 1

  2. Inhibition impairment in frontotemporal dementia, amyotrophic lateral sclerosis, and Alzheimer’s disease: clinical assessment and metabolic correlates

    Brain Imaging and Behavior, Vol. 13, Núm. 3, pp. 651-659

  3. Machine learning in the clinical and language characterisation of primary progressive aphasia variants

    Cortex, Vol. 119, pp. 312-323

2018

  1. Clustering analysis of FDG-Pet imaging in primary progressive aphasia

    Frontiers in Aging Neuroscience, Vol. 10, pp. 1-12

  2. Prevalence of amyloid-β pathology in distinct variants of primary progressive aphasia

    Annals of Neurology, Vol. 84, Núm. 5, pp. 729-740