Fermín Segovia

According to our database1, Fermín Segovia authored at least 73 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2021
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion, 2021

2020
Granger causality-based information fusion applied to electrical measurements from power transformers.
Inf. Fusion, 2020

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning.
Inf. Fusion, 2020

Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease.
Neurocomputing, 2020

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.
Neurocomputing, 2020

2019
Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology.
Int. J. Neural Syst., 2019

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.
Int. J. Neural Syst., 2019

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Support Vector Machine Failure in Imbalanced Datasets.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Comparison Between Affine and Non-affine Transformations Applied to I ^[123] [ 123 ] -FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis.
Proceedings of the Understanding the Brain Function and Emotions, 2019

2018
Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders.
Log. J. IGPL, 2018

Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease.
Frontiers Neuroinformatics, 2018

Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Classification Improvement for Parkinson's Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

2017
Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism.
Frontiers Neuroinformatics, 2017

Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases.
Frontiers Neuroinformatics, 2017

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.
Frontiers Neuroinformatics, 2017

A semi-supervised learning approach for model selection based on class-hypothesis testing.
Expert Syst. Appl., 2017

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM.
IEEE Access, 2017

Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Case-based statistical learning applied to SPECT image classification.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

2016
Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016

Multiclass classification of <sup>18</sup>F-DMFP-PET data to assist the diagnosis of parkinsonism.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

2015
Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images.
Neurocomputing, 2015

Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks.
Frontiers Comput. Neurosci., 2015

2014
Identifying endophenotypes of autism: a multivariate approach.
Frontiers Comput. Neurosci., 2014

PET imaging analysis using a parcelation approach and multiple kernel classification.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

PETRA: Multivariate analyses for neuroimaging data.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Projecting MRI brain images for the detection of Alzheimer's Disease.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

2013
Early diagnosis of Alzheimer's disease based on Partial Least Squares and Support Vector Machine.
Expert Syst. Appl., 2013

Automatic Differentiation between Alzheimer's Disease and Mild Cognitive Impairment Combining PET Data and Psychological Scores.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Automatic Orientation of Functional Brain Images for Multiplataform Software.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

2012
A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database.
Neurocomputing, 2012

Automatic differentiation between controls and Parkinson's disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Effective voxel selection method over FDG-PET database based on Association Rules.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

2011
<sup>18</sup>F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis.
Inf. Sci., 2011

Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease.
Neurocomputing, 2011

Two approaches to selecting set of voxels for the diagnosis of Alzheimerʼs disease using brain SPECT images.
Digit. Signal Process., 2011

Computer aided diagnosis of Alzheimer's disease using component based SVM.
Appl. Soft Comput., 2011

GMM based SPECT image classification for the diagnosis of Alzheimer's disease.
Appl. Soft Comput., 2011

Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning and Random Forest.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer's disease.
Pattern Recognit. Lett., 2010

Early Alzheimer's disease diagnosis using partial least squares and random forests.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Partial Least Squares for Feature Extraction of SPECT Images.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer's Disease.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Exploring Symmetry to Assist Alzheimer's Disease Diagnosis.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Effective Diagnosis of Alzheimer's Disease by Means of Association Rules.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
Analysis of Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Functional Brain Image Classification Techniques for Early Alzheimer Disease Diagnosis.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Support Vector Machines and Neural Networks for the Alzheimer's Disease Diagnosis Using PCA.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Classification of SPECT Images Using Clustering Techniques Revisited.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Selecting Regions of Interest for the Diagnosis of Alzheimer's Disease in Brain SPECT Images Using Welch's t-Test.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

SPECT Image Classification Techniques for Computer Aided Diagnosis of the Alzheimer Disease.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Automatic System for Alzheimer's Disease Diagnosis Using Eigenbrains and Bayesian Classification Rules.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Alzheimer's Diagnosis Using Eigenbrains and Support Vector Machines.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images.
Proceedings of the Advances in Neural Networks, 2009

Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification.
Proceedings of the Advances in Neural Networks, 2009

Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Independent Component Analysis of SPECT Images to Assist the Alzheimer's Disease Diagnosis.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Skewness as feature for the diagnosis of Alzheimer's disease using SPECT images.
Proceedings of the International Conference on Image Processing, 2009

2008
Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008


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