Publications in collaboration with researchers from Hospital Universitario Virgen de las Nieves (11)

2022

  1. Analysis of the Neurological Hallmarks of COVID-19. A Multivariate Approach Using 18F-FDG-PET Data

    2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference

2020

  1. Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease

    Neurocomputing, Vol. 417, pp. 1-9

2018

  1. Improved separation of Alzheimer's disease and related disorders using dual-point amyloid-PET

    2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

  2. Usefulness of dual-point amyloid PET scans in appropriate use criteria: A multicenter study

    Journal of Alzheimer's Disease, Vol. 65, Núm. 3, pp. 765-779

  3. Using CT data to improve the quantitative analysis of 18F-FBB PET neuroimages

    Frontiers in Aging Neuroscience, Vol. 10, Núm. JUN

2017

  1. Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes

    Communications in Computer and Information Science

2011

  1. 18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis

    Information Sciences, Vol. 181, Núm. 4, pp. 903-916

  2. Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease

    Neurocomputing, Vol. 74, Núm. 8, pp. 1260-1271

2009

  1. Analysis of SPECT brain images for the diagnosis of Alzheimer's disease using moments and support vector machines

    Neuroscience Letters, Vol. 461, Núm. 1, pp. 60-64

  2. Skewness as feature for the diagnosis of Alzheimer's disease using spect images

    Proceedings - International Conference on Image Processing, ICIP

  3. Support vector machines and neural networks for the alzheimer's disease diagnosis using PCA

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)