All Stories

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

    Article • Information Fusion, February 2021, Elsevier

    Ignacio A. Illán

  2. Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  3. Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

    Article • Information Fusion, June 2020, Elsevier

    Ignacio A. Illán

  4. Granger causality-based information fusion applied to electrical measurements from power transformers

    Article • Information Fusion, May 2020, Elsevier

    Ignacio A. Illán

  5. Optimized One vs One Approach in Multiclass Classification for Early Alzheimer’s Disease and Mild Cognitive Impairment Diagnosis

    Article • IEEE Access, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  6. Comparison Between Affine and Non-affine Transformations Applied to I$$^{[123]}$$-FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis

    Article • January 2019, Springer Science + Business Media

    Ignacio A. Illán

  7. Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

    Article • January 2019, Springer Science + Business Media

    Ignacio A. Illán

  8. Support Vector Machine Failure in Imbalanced Datasets

    Article • January 2019, Springer Science + Business Media

    Ignacio A. Illán

  9. NESTED 3D NEURAL NETWORKS FOR KIDNEY AND TUMOR SEGMENTATION

    Article • January 2019, University of Minnesota

    Ignacio A. Illán

  10. Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging

    Article • Contrast Media & Molecular Imaging, October 2018, Hindawi Publishing Corporation

    Anke Meyer-Baese, Ignacio A. Illán

  11. Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets

    Article • June 2018, Springer Science + Business Media

    Ignacio A. Illán, Anke Meyer-Baese

  12. Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement

    Article • May 2018, SPIE

    Ignacio A. Illán, Anke Meyer-Baese

  13. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares

    Article • Journal of Neuroscience Methods, May 2018, Elsevier

    Ignacio A. Illán

  14. 3D Gabor Filters for Chest Segmentation in DCE-MRI

    Article • January 2018, Springer Science + Business Media

    Ignacio A. Illán, Anke Meyer-Baese

  15. Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis

    Article • January 2018, Springer Science + Business Media

    Ignacio A. Illán, Anke Meyer-Baese

  16. A semi-supervised learning approach for model selection based on class-hypothesis testing

    Article • Expert Systems with Applications, December 2017, Elsevier

    Ignacio A. Illán

  17. A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI

    Article • Frontiers in Neuroinformatics, November 2017, Frontiers

    Ignacio A. Illán

  18. Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases

    Article • Frontiers in Neuroinformatics, November 2017, Frontiers

    Ignacio A. Illán

  19. Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks

    Article • Frontiers in Computational Neuroscience, October 2017, Frontiers

    Ignacio A. Illán, Anke Meyer-Baese

  20. Case-based statistical learning applied to SPECT image classification

    Article • March 2017, SPIE

    Ignacio A. Illán

  21. Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer’s with Visual Support

    Article • International Journal of Neural Systems, February 2017, World Scientific Pub Co Pte Lt

    Ignacio A. Illán, Anke Meyer-Baese

  22. Evaluating Alzheimer’s Disease Diagnosis Using Texture Analysis

    Article • January 2017, Springer Science + Business Media

    Ignacio A. Illán

  23. Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes

    Article • January 2017, Springer Science + Business Media

    Ignacio A. Illán

  24. Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images

    Article • January 2017, Springer Science + Business Media

    Ignacio A. Illán

  25. A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson’s Disease

    Article • January 2017, Springer Science + Business Media

    Ignacio A. Illán

  26. Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology

    Article • January 2017, Springer Science + Business Media

    Ignacio A. Illán

  27. Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM

    Article • IEEE Access, January 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  28. On a Heavy-Tailed Intensity Normalization of the Parkinson’s Progression Markers Initiative Brain Database

    Article • January 2017, Springer Science + Business Media

    Ignacio A. Illán

  29. MRI brain segmentation using hidden Markov random fields with alpha-stable distributions

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  30. PETRA: A web-based system supporting computer aided diagnosis of alzheimer's disease

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  31. Simulating functional brain images in Alzheimer's disease

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  32. Statistical feature selection and classification models for Alzheimer's disease progression assessment

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  33. Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis

    Article • Frontiers in Computational Neuroscience, November 2015, Frontiers

    Ignacio A. Illán

  34. Digital image analysis for automatic enumeration of malaria parasites using morphological operations

    Article • Expert Systems with Applications, April 2015, Elsevier

    Ignacio A. Illán

  35. Building a FP-CIT SPECT Brain Template Using a Posterization Approach

    Article • Neuroinformatics, March 2015, Springer Science + Business Media

    Ignacio A. Illán

  36. Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches

    Article • Neurocomputing, February 2015, Elsevier

    Ignacio A. Illán

  37. A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer’s Disease

    Article • January 2015, Springer Science + Business Media

    Ignacio A. Illán

  38. Independent Component Analysis-Based Classification of Alzheimer’s Disease from Segmented MRI Data

    Article • January 2015, Springer Science + Business Media

    Ignacio A. Illán

  39. Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach

    Article • Frontiers in Computational Neuroscience, November 2014, Frontiers

    Ignacio A. Illán, Anke Meyer-Baese

  40. Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging

    Article • Neurocomputing, February 2014, Elsevier

    Ignacio A. Illán

  41. Affine registration of [123I]FP-CIT SPECT brain images

    Article • January 2014, IOS Press

    Ignacio A. Illán

  42. Projecting MRI brain images for the detection of Alzheimer's Disease

    Article • January 2014, IOS Press

    Ignacio A. Illán

  43. Statistical Significance in the Selection of the Regions of Interest for Parkinson Brain Image Processing

    Article • January 2014, IOS Press

    Ignacio A. Illán

  44. Functional activity maps based on significance measures and Independent Component Analysis

    Article • Computer Methods and Programs in Biomedicine, July 2013, Elsevier

    Professor of Clinical Psychiatry Adrian PREDA, Ignacio A. Illán

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

    Article • Information Sciences, July 2013, Elsevier

    Ignacio A. Illán

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

    Article • Expert Systems with Applications, June 2013, Elsevier

    Ignacio A. Illán

  47. Early diagnosis of Alzheimer’s disease based on Partial Least Squares and Support Vector Machine

    Article • Expert Systems with Applications, February 2013, Elsevier

    Ignacio A. Illán

  48. Automatic Orientation of Functional Brain Images for Multiplataform Software

    Article • January 2013, Springer Science + Business Media

    Ignacio A. Illán

  49. Early Computer Aided Diagnosis of Parkinson’s Disease Based on Nearest Neighbor Strategy and striatum Activation Threshold

    Article • January 2013, Springer Science + Business Media

    Ignacio A. Illán

  50. Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization

    Article • Computational and Mathematical Methods in Medicine, January 2013, Hindawi Publishing Corporation

    Ignacio A. Illán

  51. Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution

    Article • NeuroImage, January 2013, Elsevier

    Ignacio A. Illán

  52. Texture Features Based Detection of Parkinson’s Disease on DaTSCAN Images

    Article • January 2013, Springer Science + Business Media

    Ignacio A. Illán

  53. On the empirical mode decomposition applied to the analysis of brain SPECT images

    Article • Expert Systems with Applications, December 2012, Elsevier

    Ignacio A. Illán

  54. Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging

    Article • Artificial Intelligence in Medicine, November 2012, Elsevier

    Ignacio A. Illán

  55. Empirical Mode Decomposition as a feature extraction method for Alzheimer's Disease Diagnosis

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  56. Intensity normalization of FP-CIT SPECT in patients with Parkinsonism using the α-stable distribution

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  57. FDG and PIB biomarker PET analysis for the Alzheimer's disease detection using Association Rules

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  58. Automatic assistance to Parkinsonˈs disease diagnosis in DaTSCAN SPECT imaging

    Article • Medical Physics, September 2012, Wiley

    Ignacio A. Illán

  59. Functional brain image classification using association rules defined over discriminant regions

    Article • Pattern Recognition Letters, September 2012, Elsevier

    Ignacio A. Illán

  60. Effective diagnosis of Alzheimer’s disease by means of large margin-based methodology

    Article • BMC Medical Informatics and Decision Making, July 2012, Springer Science + Business Media

    Ignacio A. Illán

  61. Improved Parkinsonism diagnosis using a partial least squares based approach

    Article • Medical Physics, June 2012, Wiley

    Ignacio A. Illán

  62. A Comparison between Univariate and Multivariate Supervised Learning for Classification of SPECT Images

    Article • March 2012, Bentham Science Publishers

    Ignacio A. Illán

  63. Functional Brain Image Preprocessing For Computer Aided Diagnosis Systems

    Article • March 2012, Bentham Science Publishers

    Ignacio A. Illán

  64. Functional Image Classification Techniques For Early Alzheimer’s Disease Detection

    Article • March 2012, Bentham Science Publishers

    Ignacio A. Illán

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

    Article • IEEE Transactions on Medical Imaging, February 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

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

    Article • Neurocomputing, January 2012, Elsevier

    Ignacio A. Illán

  67. Automatic differentiation between controls and Parkinson’s disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio

    Article • January 2012, IOS Press

    Ignacio A. Illán

  68. Two approaches to selecting set of voxels for the diagnosis of Alzheimerʼs disease using brain SPECT images

    Article • Digital Signal Processing, December 2011, Elsevier

    Ignacio A. Illán

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

    Article • Physics in Medicine and Biology, August 2011, Institute of Physics Publishing

    Ignacio A. Illán

  70. Computer aided diagnosis of Alzheimer’s disease using component based SVM

    Article • Applied Soft Computing, March 2011, Elsevier

    Ignacio A. Illán

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

    Article • Neurocomputing, March 2011, Elsevier

    Ignacio A. Illán

  72. 18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis☆

    Article • Information Sciences, February 2011, Elsevier

    Ignacio A. Illán

  73. Effective Diagnosis of Alzheimer’s Disease by Means of Distance Metric Learning

    Article • January 2011, Springer Science + Business Media

    Ignacio A. Illán

  74. Feature selection using factor analysis for Alzheimer's diagnosis using F18-FDG PET images

    Article • Medical Physics, November 2010, Wiley

    Ignacio A. Illán

  75. Improving the convergence rate in affine registration of PET brain images using histogram matching

    Article • October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  76. Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison

    Article • October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  77. Analysis of SPECT brain images for the diagnosis of Alzheimer's disease based on NMF for feature extraction

    Article • Neuroscience Letters, August 2010, Elsevier

    Ignacio A. Illán

  78. Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer’s disease

    Article • Pattern Recognition Letters, August 2010, Elsevier

    Ignacio A. Illán

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

    Article • Physics in Medicine and Biology, April 2010, Institute of Physics Publishing

    Ignacio A. Illán

  80. Classification of functional brain images using a GMM-based multi-variate approach

    Article • Neuroscience Letters, April 2010, Elsevier

    Ignacio A. Illán

  81. Early Alzheimer's disease diagnosis using partial least squares and random forests

    Article • April 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

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

    Article • Neuroscience Letters, March 2010, Elsevier

    Ignacio A. Illán

  83. Alzheimer's disease detection in functional images using 2D Gabor wavelet analysis

    Article • Electronics Letters, January 2010, the Institution of Engineering and Technology (the IET)

    Ignacio A. Illán

  84. Erratum for ‘Alzheimer's disease detection in functional images using 2D Gabor wavelet analysis’

    Article • Electronics Letters, January 2010, the Institution of Engineering and Technology (the IET)

    Ignacio A. Illán

  85. Skewness as feature for the diagnosis of Alzheimer's disease using SPECT images

    Article • November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  86. Automatic selection of ROIs using a model-based clustering approach

    Article • October 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  87. Computer aided diagnosis of the Alzheimer's disease combining SPECT-based feature selection and random forest classifiers

    Article • October 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  88. Multivariate approaches for Alzheimer's disease diagnosis using Bayesian classifiers

    Article • October 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  89. Neurological image classification for the Alzheimer's Disease diagnosis using Kernel PCA and Support Vector Machines

    Article • October 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  90. SPECT image classification based on NMSE feature correlation weighting and SVM

    Article • October 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  91. SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA

    Article • Neuroscience Letters, October 2009, Elsevier

    Ignacio A. Illán

  92. fMRI data analysis using a novel clustering technique

    Article • October 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

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

    Article • Neuroscience Letters, September 2009, Elsevier

    Ignacio A. Illán

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

    Article • Neuroscience Letters, September 2009, Elsevier

    Ignacio A. Illán

  95. DIELECTRIC BRANES IN NONTRIVIAL BACKGROUNDS

    Article • Modern Physics Letters A, June 2009, World Scientific Pub Co Pte Lt

    Ignacio A. Illán

  96. Alzheimer's diagnosis using eigenbrains and support vector machines

    Article • Electronics Letters, January 2009, the Institution of Engineering and Technology (the IET)

    Ignacio A. Illán

  97. Alzheimer’s Diagnosis Using Eigenbrains and Support Vector Machines

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  98. Analysis of Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  99. Automatic System for Alzheimer’s Disease Diagnosis Using Eigenbrains and Bayesian Classification Rules

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

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

    Article • Electronics Letters, January 2009, the Institution of Engineering and Technology (the IET)

    Ignacio A. Illán

  101. Computer Aided Diagnosis of Alzheimer’s Disease Using Principal Component Analysis and Bayesian Classifiers

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  102. Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  103. Functional Brain Image Classification Techniques for Early Alzheimer Disease Diagnosis

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  104. Independent Component Analysis of SPECT Images to Assist the Alzheimer’s Disease Diagnosis

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  105. SPECT image classification using random forests

    Article • Electronics Letters, January 2009, the Institution of Engineering and Technology (the IET)

    Ignacio A. Illán

  106. Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  107. Selecting Regions of Interest for the Diagnosis of Alzheimer’s Disease in Brain SPECT Images Using Welch’s t-Test

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  108. Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines

    Article • January 2009, Springer Science + Business Media

    Ignacio A. Illán

  109. Automatic computer aided diagnosis tool using component-based SVM

    Article • October 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Ignacio A. Illán

  110. On the gauge invariance and coordinate transformations of non-abelian D-brane actions

    Article • Journal of High Energy Physics, October 2005, Springer Science + Business Media

    Ignacio A. Illán