Informática
Facultad
JORGE
MATÍAS-GUIU GUÍA
Catedrático de universidad
Publicaciones en las que colabora con JORGE MATÍAS-GUIU GUÍA (22)
2024
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A data-driven approach to complement the A/T/(N) classification system using CSF biomarkers
CNS Neuroscience and Therapeutics, Vol. 30, Núm. 2
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Correction to: Genetic-based patient stratification in Alzheimer’s disease (Scientific Reports, (2024), 14, 1, (9970), 10.1038/s41598-024-60707-1)
Scientific Reports
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Deep Learning For Predicting Cerebral Metabolism Changes Along The Alzheimer’s Disease Continuum
Proceedings IMCIC - International Multi-Conference on Complexity, Informatics and Cybernetics
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European cross-cultural neuropsychological test battery (CNTB) for the assessment of cognitive impairment in multiple sclerosis: Cognitive phenotyping and classification supported by machine learning techniques
Multiple Sclerosis and Related Disorders, Vol. 91
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Genetic-based patient stratification in Alzheimer’s disease
Scientific Reports, Vol. 14, Núm. 1
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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
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Development of criteria for cognitive dysfunction in post-COVID syndrome: the IC-CoDi-COVID approach
Psychiatry Research, Vol. 319
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Multi-Disease Validation of the RUDAS for Cognitive Screening in Alzheimer's Disease, Parkinson's Disease, and Multiple Sclerosis
Journal of Alzheimer's disease : JAD, Vol. 91, Núm. 2, pp. 705-717
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Unraveling brain fog in post-COVID syndrome: Relationship between subjective cognitive complaints and cognitive function, fatigue, and neuropsychiatric symptoms
European Journal of Neurology
2022
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Body Complexion and Circulating Lipids in the Risk of TDP-43 Related Disorders
Frontiers in Aging Neuroscience, Vol. 14
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Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning-aided neuropsychological assessment using feature engineering and genetic algorithms
International Journal of Geriatric Psychiatry, Vol. 37, Núm. 2
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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
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Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging
Frontiers in Aging Neuroscience, Vol. 13
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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
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Neuropsychological Predictors of Fatigue in Post-COVID Syndrome
Journal of Clinical Medicine, Vol. 11, Núm. 13
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On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease
Scientific Reports, Vol. 12, Núm. 1
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Validation of a brief cross-cultural cognitive screening test in Multiple Sclerosis
Multiple Sclerosis and Related Disorders, Vol. 67
2021
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Application of machine learning to electroencephalography for the diagnosis of primary progressive aphasia: A pilot study
Brain Sciences, Vol. 11, Núm. 10
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Personalized Repetitive Transcranial Magnetic Stimulation for Primary Progressive Aphasia
Journal of Alzheimer's disease : JAD, Vol. 84, Núm. 1, pp. 151-167
2019
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An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders
BMC Bioinformatics, Vol. 20, Núm. 1