Publicaciones en las que colabora con JAVIER RAMÍREZ PÉREZ DE INESTROSA (25)

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

2021

  1. Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities

    Information Fusion, Vol. 66, pp. 198-212

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

  4. Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach

    2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018

2017

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

    Communications in Computer and Information Science

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

2012

  1. Effective diagnosis of Alzheimers disease by means of large margin-based methodology

    BMC Medical Informatics and Decision Making, Vol. 12, Núm. 1

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)

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