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Diego Salas-Gonzalez

Diego Salas-Gonzalez

D-Index & Metrics

Computer Science

D-Index
37
Citations
4542
World Ranking
10920
National Ranking
178

Overview

Diego Salas-Gonzalez is affiliated with the University of Granada in Spain. Their research spans multiple fields of study, with a focus on Medicine, Computer Science, and Engineering. Within these broader domains, their work often addresses subfields such as Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, as well as Statistics and Probability.

The scientist's research topics include a diverse range of specialized areas: Parkinson's Disease Mechanisms and Treatments, Gene Expression and Cancer Classification, Power Transformer Diagnostics and Insulation, Currency Recognition and Detection, Thermography and Photoacoustic Techniques, Explainable Artificial Intelligence (XAI), and Artificial Intelligence in Healthcare and Education.

Frequent coauthors who have collaborated extensively with Diego Salas-Gonzalez include J. M. Górriz, Javier Ramírez, Diego Castillo-Barnés, Francisco J. Martínez-Murcia, and F. Segovia. This network reflects a collaborative approach to interdisciplinary research that intersects medical and computational sciences.

The scientist has published in a variety of recognized academic venues. Notable journals where their work has appeared multiple times include Information Fusion, International Journal of Neural Systems, and Neurocomputing. Other publication venues include Integrated Computer-Aided Engineering and Annals of Oncology.

Some of their recent published papers are:

  • "Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends" (2023, Information Fusion)
  • "Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease" (2020, International Journal of Neural Systems)
  • "Autosomal dominantly inherited Alzheimer disease: Analysis of genetic subgroups by machine learning" (2020, Information Fusion)
  • "Expectation-Maximization algorithm for finite mixture of α-stable distributions" (2020, Neurocomputing)
  • "Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data" (2023, International Journal of Neural Systems)

Best Publications

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

    J. RamíRez;J. M. GóRriz;D. Salas-Gonzalez;A. Romero

  • NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease

    P. Padilla;M. Lopez;J. M. Gorriz;J. Ramirez

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

    I. A. Illán;J. M. Górriz;J. Ramírez;D. Salas-Gonzalez

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

    M. López;J. Ramírez;J. M. Górriz;I. Álvarez

  • Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Unknown

  • SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting

    R. Chaves;J. Ramírez;J.M. Górriz;M. López

  • SVM-based CAD System for Early Detection of the Alzheimer's Disease Using Kernel PCA and LDA

    M.M. López;J. Ramírez;J.M. Górriz;I. Álvarez

  • Computer aided diagnosis system for the Alzheimer's disease based on partial least squares and random forest SPECT image classification

    J. Ramírez;J.M. Górriz;F. Segovia;R. Chaves

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

    A. Ortiz;J. M. GóRriz;J. RamíRez;D. Salas-GonzáLez

  • Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test

    F.J. Martínez-Murcia;J.M. Górriz;J. Ramírez;C.G. Puntonet

  • Automatic tool for Alzheimer's disease diagnosis using PCA and Bayesian classification rules

    M. López;J. Ramírez;J.M. Górriz;D. Salas-Gonzalez

  • Alzheimer's Diagnosis Using Eigenbrains and Support Vector Machines

    I. Álvarez;J. M. Górriz;J. Ramírez;D. Salas-Gonzalez

  • Alzheimer's diagnosis using eigenbrains and support vector machines

    I. Álvarez;J.M. Górriz;J. Ramírez;D. Salas-Gonzalez

  • GMM based SPECT image classification for the diagnosis of Alzheimer's disease

    J. M. Górriz;F. Segovia;J. Ramírez;A. Lassl

  • Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering

    A. Ortiz;J. M. Gorriz;J. Ramirez;D. Salas-Gonzalez

  • Feature selection using factor analysis for Alzheimer's diagnosis using 18F-FDG PET images.

    D. Salas-Gonzalez;J. M. Górriz;J. Ramírez;I. A. Illán

  • Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks.

    Andrés Ortiz;Jorge Munilla;Manuel Martínez-Ibañez;Juan Manuel Górriz

  • A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database

    F. Segovia;J. M. Górriz;J. Ramírez;D. Salas-Gonzalez

  • Computer aided diagnosis of Alzheimer's disease using component based SVM

    I. A. Illán;J. M. Górriz;M. M. López;J. Ramírez

  • Computer-aided diagnosis of Alzheimer's disease using support vector machines and classification trees

    D Salas-Gonzalez;J M Górriz;J Ramírez;M López

  • Improved Gauss-Newton optimisation methods in affine registration of SPECT brain images

    D. Salas-Gonzalez;J. M. Gorriz;J. Ramirez;A. Lass

  • Segmentation of Brain MRI Using SOM-FCM-Based Method and 3D Statistical Descriptors

    Andrés Ortiz;Antonio A. Palacio;Juan M. Górriz;Javier Leonardo Ramirez

Frequent Co-Authors

Javier Ramírez
Javier Ramírez University of Granada
Juan Manuel Górriz
Juan Manuel Górriz University of Granada
Carlos G. Puntonet
Carlos G. Puntonet University of Granada
Elmar Lang
Elmar Lang University of Regensburg
Christophe Phillips
Christophe Phillips University of Liège
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Roberto Hornero
Roberto Hornero University of Valladolid
Fabian J. Theis
Fabian J. Theis Technical University of Munich
Martin R. Farlow
Martin R. Farlow Indiana University
Peter R. Schofield
Peter R. Schofield Neuroscience Research Australia

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