Francisco J. Martínez-Murcia

发表

[123I]FP-CIT SPECT brain imaging for Parkinson’s diagnosis using contour lines

Diego Salas-Gonzalez, Fermín Segovia, Diego Castillo-Barnes, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution

Diego Salas-Gonzalez, Fermín Segovia, Juan M. Górriz, 2017, Front. Aging Neurosci..

Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2016, SOCO-CISIS-ICEUTE.

Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2019, Int. J. Neural Syst..

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism

Kai Boetzel, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, 2017, Front. Neuroinform..

Case-based statistical learning applied to SPECT image classification

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2017, Medical Imaging.

Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis

Andrés Ortiz, Francisco J. Martinez-Murcia, Francisco J. Martínez-Murcia, 2021, Sensors.

Power Transformer Forecasting in Smart Grids Using NARX Neural Networks

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, 2020 .

Long Short-Term Memory Networks for the Prediction of Transformer Temperature for Energy Distribution Smart Grids

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia, 2020 .

Uncertainty-driven ensembles of multi-scale deep architectures for image classification

Francisco J. Martínez-Murcia, J. Ramírez, J. Górriz, 2022, Inf. Fusion.

Frequency and Longitudinal Course of Motor Signs in Genetic Frontotemporal Dementia

Francisco J. Martínez-Murcia, Juan Manuel Górriz Sáez, A. Danek, 2022, Neurology.

Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

Diego Castillo-Barnes, Francisco J. Martínez-Murcia, Francisco J Martinez-Murcia, 2020, IEEE Journal of Biomedical and Health Informatics.

Assessing Mild Cognitive Impairment Progression using a Spherical Brain Mapping of Magnetic Resonance Imaging.

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, 2018, Journal of Alzheimer's disease : JAD.

Automatic ROI Selection in Structural Brain MRI Using SOM 3D Projection

Juan M. Górriz, Andrés Ortiz, Javier Ramírez, 2014, PloS one.

Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, 2014, InMed.

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2013, Pattern Recognit. Lett..

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

Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, 2017, Front. Neuroinform..

Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach

Julio Ortega, Andrés Ortiz, Roberto Morales-Ortega, 2020, Int. J. Neural Syst..

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

Javier Ramirez, Juan Manuel Gorriz, Francisco J. Martínez-Murcia, 2020, Int. J. Neural Syst..

PETRA: Multivariate analyses for neuroimaging data

Carlos G. Puntonet, Ignacio A. Illán, Diego Salas-Gonzalez, 2014, IWBBIO.

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

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Diego Salas-Gonzalez, 2018, Front. Neuroinform..

A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia

Francisco J. Martínez-Murcia, A. Gim'enez, A. Ortiz, 2020, HAIS.

Improved separation of Alzheimer’s disease and related disorders using dual-point amyloid-PET

P. Sopena-Novales, F. Segovia, J. M. Górriz, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

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

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

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

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Carlos García Puntonet, 2012, Expert Syst. Appl..

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

Li Su, Hiroshi Mori, Andrés Ortiz, 2020, Inf. Fusion.

A Spherical Brain Mapping of MR Images for the Detection of Alzheimer's Disease.

F J Martinez-Murcia, J M Górriz, J Ramírez, 2016, Current Alzheimer research.

Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer's Disease

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Carlos García Puntonet, 2011, IWINAC.

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

for the Alzheimer's Disease Neuroimaging Initiative, J. Ramírez, Francisco J. Martínez-Murcia, 2017, Journal of Neuroscience Methods.

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

J. M. GÓRRIZ, J. RAMÍREZ, J. SUCKLING, 2017, IEEE Access.

Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling

Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, 2019, Int. J. Neural Syst..

A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2016, Int. J. Neural Syst..

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2019, Int. J. Neural Syst..

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images pdf

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, A. Ortiz, 2020, ArXiv.

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

Francisco Herrera, Richard J. Duro, Paulo Novais, 2020, Neurocomputing.

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

Diego Castillo-Barnes, Carmen Jiménez-Mesa, Ignacio Alvarez Illán, 2020, IEEE Access.

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

Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, 2014, Neurocomputing.

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

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, 2020, Inf. Fusion.

Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2020, Int. J. Neural Syst..

Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2017, MIUA.

Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression

Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, 2017, MIUA.

Comparison Between Affine and Non-affine Transformations Applied to I ^[123] [ 123 ] -FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis

Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, 2019, IWINAC.

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, 2019, IWINAC.

An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals

Julio Ortega, Francisco Jesús Martínez-Murcia, Andrés Ortiz, 2019, IWINAC.

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

Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, 2013, Expert Syst. Appl..

Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Diego Salas-Gonzalez, 2018, SOCO-CISIS-ICEUTE.

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

Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, 2017, Front. Neuroinform..

Functional activity maps based on significance measures and Independent Component Analysis

Juan Manuel Górriz, Javier Ramírez, Carlos G. Puntonet, 2013, Comput. Methods Programs Biomed..

Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2018, Log. J. IGPL.

Expectation-Maximization algorithm for finite mixture of α-stable distributions

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2020, Neurocomputing.

A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease

Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, 2015, IWINAC.

On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance‐weighted principal component analysis

John Suckling, Juan Manuel Górriz, Javier Ramírez, 2016, Human brain mapping.

Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders

Francisco J. Martínez-Murcia, D. Castillo-Barnes, E. D. D. L. Heras, 2023, ArXiv.

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

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2017, IWINAC.

Texture Features Based Detection of Parkinson's Disease on DaTSCAN Images

Juan Manuel Górriz, Javier Ramírez, Carlos G. Puntonet, 2013, IWINAC.

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

G. J. Nalepa, J. M. Cuadra, Francisco J. Martínez-Murcia, 2023, Inf. Fusion.

Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images

Francisco J. Martínez-Murcia, J. Ramírez, J. Górriz, 2022, Int. J. Neural Syst..

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Andrés Ortiz, 2018, Int. J. Neural Syst..

Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images

Francisco J. Martínez-Murcia, J. Ramírez, J. Górriz, 2022, IWINAC.

Capacity Estimation from Environmental Audio Signals Using Deep Learning

Francisco J. Martínez-Murcia, A. Ortiz, C. Reyes-Daneri, 2022, IWINAC.

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning

Francisco J. Martínez-Murcia, J. Ramírez, J. Górriz, 2022, IWINAC.

Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis

Francisco J. Martínez-Murcia, A. Ortiz, N. Gallego-Molina, 2022, IWINAC.

Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing

Juan José Escobar, Francisco J. Martínez-Murcia, A. Ortiz, 2022, IWINAC.

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

Juan Manuel Górriz, Javier Ramírez, Elmar Lang, 2015, Neuroinformatics.

Classification Improvement for Parkinson's Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Diego Salas-Gonzalez, 2018, SOCO-CISIS-ICEUTE.

Connected system for monitoring electrical power transformers using thermal imaging

Francisco J. Martínez-Murcia, F. Segovia, I. A. Illán, 2023, Integrated Computer-Aided Engineering.

Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks

Francisco J. Martinez-Murcia, Francisco J. Martínez-Murcia, Andr'es Ortiz, 2020, HAIS.

Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification

Francisco J. Martínez-Murcia, J. Górriz, J. E. Arco, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Jorge Munilla, 2019, Neurocomputing.

Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2018, SOCO-CISIS-ICEUTE.

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

Francisco J. Martínez-Murcia, F. J. Martínez-Murcia, J. Ramírez, 2016, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).

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

F. Segovia, D. Salas-Gonzalez, J. Ramírez, 2016, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).

A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2017, IWINAC.

Applications of Machine Learning and Deep Learning in SPECT and PET Imaging: General Overview, Challenges and Future prospects.

Francisco J. Martínez-Murcia, J. Górriz, J. E. Arco, 2023, Pharmacological research.

Edinburgh Research Explorer Computational Approaches to Explainable Artificial Intelligence

Francisco J. Martínez-Murcia, J. M. Ferrández-Vicente, R. Martínez-Tomás, 2022 .

Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis

Francisco J. Martínez-Murcia, Francisco J. Mart'inez-Murcia, A. Ortiz, 2021, Knowledge-Based Systems.

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

Juan Manuel Górriz, Javier Ramírez, Carlos G. Puntonet, 2017, Expert Syst. Appl..

Statistical Agnostic Regression: a machine learning method to validate regression models

Francisco J. Martínez-Murcia, C. Jim'enez-Mesa, J. Suckling, 2024, ArXiv.

Frequency and Longitudinal Course of Behavioral and Neuropsychiatric Symptoms in Participants With Genetic Frontotemporal Dementia

Francisco J. Martínez-Murcia, Juan Manuel Górriz Sáez, R. Laforce, 2024, Neurology.

Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Andrés Ortiz, 2020, Neurocomputing.