Publikationen in Zusammenarbeit mit Forschern von Hospital Universitario Virgen de las Nieves (28)

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

  2. Correction to: New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners (Neuroradiology, (2022), 64, 5, (875-886), 10.1007/s00234-022-02916-x)

    Neuroradiology

  3. New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners

    Neuroradiology, Vol. 64, Núm. 5, pp. 875-886

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

2016

  1. Diagnosis of neurodegenerative diseases: The clinical approach

    Current Alzheimer Research, Vol. 13, Núm. 5, pp. 469-474

2014

  1. Parametrization of textural patterns in 123I-ioflupane imaging for the automatic detection of Parkinsonism

    Medical Physics, Vol. 41, Núm. 1

2013

  1. Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease

    Expert Systems with Applications, Vol. 40, Núm. 7, pp. 2756-2766

  2. Component-based technique for determining the effects of acupuncture for fighting migraine using SPECT images

    Expert Systems with Applications, Vol. 40, Núm. 1, pp. 44-51

  3. Computer-aided diagnosis of Alzheimer's type dementia combining support vector machines and discriminant set of features

    Information Sciences

  4. Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies

    Applied Soft Computing Journal, Vol. 13, Núm. 5, pp. 2668-2682

2011

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

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

  2. A quantitative study on acupuncture effects for fighting migraine using SPECT images

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

  3. Analysis of spect brain images using wilcoxon and relative entropy criteria and quadratic multivariate classifiers for the diagnosis of Alzheimer's disease

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

  4. Efficient mining of association rules for the early diagnosis of Alzheimer's disease

    Physics in Medicine and Biology, Vol. 56, Núm. 18, pp. 6047-6063

  5. 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

  6. SVM with bounds of confidence and PLS for quantifying the effects of acupuncture on migraine patients

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