Publicaciones en las que colabora con LAURA HERNÁNDEZ LORENZO (9)

2024

  1. A data-driven approach to complement the A/T/(N) classification system using CSF biomarkers

    CNS Neuroscience and Therapeutics, Vol. 30, Núm. 2

  2. Correction to: Genetic-based patient stratification in Alzheimer’s disease (Scientific Reports, (2024), 14, 1, (9970), 10.1038/s41598-024-60707-1)

    Scientific Reports

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

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

  4. Genetic-based patient stratification in Alzheimer’s disease

    Scientific Reports, Vol. 14, Núm. 1

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

    NeuroImage, Vol. 297

2022

  1. 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

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

    Frontiers in Aging Neuroscience, Vol. 13

  3. On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease

    Scientific Reports, Vol. 12, Núm. 1

  4. Timeseries biomarkers clustering for Alzheimer's Disease progression

    2022 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2022