Javier Ramírez

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 115

Top Venues

Publications

David López-García, Fermín Segovia, Jacob Rodriguez-Rivero, Javier Ramírez, David Pérez, Raúl Serrano, Juan Manuel Górriz
RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging. IWINAC (2) (2024)
Juan Eloy Arco, Nicolás Gallego-Molina, Pedro Javier Lopez-Perez, Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz
Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders. IWINAC (2024)
Juan Manuel Górriz, Fermín Segovia, Javier Ramírez, Andrés Ortiz, John Suckling
Is K-fold cross validation the best model selection method for Machine Learning? CoRR (2024)
Jacob Rodriguez-Rivero, David López-García, Fermín Segovia, Javier Ramírez, Juan Manuel Górriz, R. Serrano, D. Pérez, Iván Maza, Aníbal Ollero, Pol Paradell Sola, Albert Gili Selga, José Luis Domínguez-García, Alejandro Romero, A. Berro, Rocío Domínguez, Inmaculada Prieto
RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena. IWINAC (2) (2024)
Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz
A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test. IWINAC (2024)
F. J. Alcaide, I. Álvarez Illán, Javier Ramírez, J. M. Górriz
Unraveling the Autism spectrum heterogeneity: Insights from ABIDE I Database using data/model-driven permutation testing approaches. CoRR (2024)
Nicolás Gallego-Molina, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Diego Castillo-Barnes, Andrés Ortiz, Javier Ramírez, J. M. Górriz, Pedro Javier Lopez-Perez, Juan Luis Luque
A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia. IWINAC (2024)
Cristóbal Vázquez-García, Francisco Jesús Martínez-Murcia, Juan Eloy Arco, Ignacio A. Illán, Carmen Jiménez-Mesa, Javier Ramírez, Juan Manuel Górriz
A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease. IWINAC (2024)
R. López, Francisco Jesús Martínez-Murcia, Javier Ramírez, Teodoro Martín-Noguerol, F. Paulano-Godino, Antonio Luna, J. M. Górriz, Fermín Segovia
PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models. IWINAC (2024)
Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz
A non-parametric statistical inference framework for Deep Learning in current neuroimaging. Inf. Fusion 91 (2023)
Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression. Appl. Soft Comput. 134 (2023)
Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. Int. J. Neural Syst. 33 (4) (2023)
Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Carmen Jimenez-Mesa, Juan Eloy Arco, Diego Salas-Gonzalez, Javier Ramírez, J. M. Górriz
Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data. Int. J. Neural Syst. 33 (8) (2023)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yudong Zhang, Juan Manuel Górriz
Uncertainty-driven ensembles of multi-scale deep architectures for image classification. Inf. Fusion 89 (2023)
Fermín Segovia, Javier Ramírez, Diego Salas-González, Ignacio A. Illán, Francisco Jesús Martínez-Murcia, Jacob Rodriguez-Rivero, F. J. Leiva, C. Gaitan, J. M. Górriz
Connected system for monitoring electrical power transformers using thermal imaging. Integr. Comput. Aided Eng. 30 (4) (2023)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, Manuel Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Juan Eloy Arco, Andrés Ortiz, Nicolás Gallego-Molina, Juan Manuel Górriz, Javier Ramírez
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism. Int. J. Neural Syst. 33 (4) (2023)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Pedro Javier Lopez-Perez, Miguel López-Zamora, Juan Luis Luque
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia. CoRR (2023)
J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, J. J. Martinez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, A. Pereira, Pedro Pinacho Davidson, M. A. Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, W. Wang, Y. D. Zhang, H. Zhu, Z. Zhu, J. M. Ferrández-Vicente
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100 (2023)
Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning. IWINAC (1) (2022)
J. M. Górriz, Carmen Jimenez-Mesa, Fermín Segovia, Javier Ramírez, John Suckling
A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Fermín Segovia, Javier Ramírez, Diego Salas-Gonzalez, Ignacio Álvarez Illán, Francisco Jesús Martínez-Murcia, Jacob Rodriguez-Rivero, F. J. Leiva, C. Gaitan, J. M. Górriz
Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging. IWINAC (1) (2022)
Diego Castillo-Barnes, J. Merino-Chica, R. Garcia-Diaz, Carmen Jimenez-Mesa, Juan Eloy Arco, Javier Ramírez, J. M. Górriz
CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources. IWINAC (1) (2022)
Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 149 (2022)
Carmen Jimenez-Mesa, Juan Eloy Arco, M. Valentí-Soler, B. Frades-Payo, M. A. Zea-Sevilla, Andrés Ortiz, M. Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, T. del Ser-Quijano, C. Carnero-Pardo, Juan Manuel Górriz
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test. IWINAC (1) (2022)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Yu-Dong Zhang, Juan Manuel Górriz
Tiled Sparse Coding in Eigenspaces for Image Classification. Int. J. Neural Syst. 32 (3) (2022)
Diego Castillo-Barnes, Carmen Jimenez-Mesa, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, Javier Ramírez, Juan Manuel Górriz
Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images. Int. J. Neural Syst. 32 (5) (2022)
Carmen Jimenez-Mesa, Diego Castillo-Barnes, Juan Eloy Arco, Fermín Segovia, Javier Ramírez, Juan Manuel Górriz
Analyzing Statistical Inference Maps Using MRI Images for Parkinson's Disease. IWINAC (1) (2022)
Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks. IWINAC (1) (2022)
Jose Antonio Simón-Rodríguez, Francisco Jesús Martínez-Murcia, Javier Ramírez, Diego Castillo-Barnes, Juan Manuel Górriz
Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images. IWINAC (1) (2022)
Diego Castillo-Barnes, Juan Eloy Arco, Carmen Jimenez-Mesa, Javier Ramírez, J. M. Górriz, Diego Salas-Gonzalez
Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease. IWINAC (1) (2022)
Juan Manuel Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling
A hypothesis-driven method based on machine learning for neuroimaging data analysis. Neurocomputing 510 (2022)
Juan Manuel Górriz, Carmen Jimenez-Mesa, Rafael Romero-Garcia, Fermín Segovia, Javier Ramírez, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Diego Salas-Gonzalez, Ignacio Álvarez Illán, Carlos García Puntonet, David López-García, Manuel Gómez-Río, John Suckling
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities. Inf. Fusion 66 (2021)
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR (2021)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images. CoRR (2021)
Juan Eloy Arco, Javier Ramírez, Juan Manuel Górriz, María Ruz
Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease. Expert Syst. Appl. 185 (2021)
Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN)
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. CoRR (2021)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, M. Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images. CoRR (2021)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz, Ricardo Cruz
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy. Neurocomputing 452 (2021)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Pedro Javier Lopez-Abarejo, Miguel Lopez-Zamora, Juan Luis Luque
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia. Int. J. Neural Syst. 30 (7) (2020)
Diego Castillo-Barnes, Li Su, Javier Ramírez, Diego Salas-Gonzalez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Andrés Ortiz, Carlos Cruchaga, Martin R. Farlow, Chengjie Xiong, Neil R. Graff-Radford, Peter R. Schofield, Colin L. Masters, Stephen P. Salloway, Mathias Jucker, Hiroshi Mori, Johannes Levin, Juan Manuel Górriz, Dominantly Inherited Alzheimer Network (DIAN)
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. Inf. Fusion 58 (2020)
Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Javier Ramírez, J. M. Górriz, Diego Salas-Gonzalez
Expectation-Maximization algorithm for finite mixture of α-stable distributions. Neurocomputing 413 (2020)
Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jimenez-Mesa, Javier Ramírez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. Inf. Fusion 64 (2020)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Juan Manuel Górriz
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images. CoRR (2020)
Juan Eloy Arco, Paloma Díaz-Gutiérrez, Javier Ramírez, María Ruz
Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data. Neuroinformatics 18 (2) (2020)
Jacob Rodriguez-Rivero, Javier Ramírez, Francisco Jesús Martínez-Murcia, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio Álvarez Illán, Carlos García Puntonet, Carmen Jimenez-Mesa, F. J. Leiva, S. Carillo, John Suckling, Juan Manuel Górriz
Granger causality-based information fusion applied to electrical measurements from power transformers. Inf. Fusion 57 (2020)
Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba
Editorial: Deep Learning in Aging Neuroscience. Frontiers Neuroinformatics 14 (2020)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, José Ramón Álvarez Sánchez, Guido Bologna, María Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernández-Caballero, José Manuel Ferrández
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing 410 (2020)
Carmen Jimenez-Mesa, Ignacio Álvarez Illán, Alberto Martín-Martín, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Javier Ramírez, Juan Manuel Górriz
Optimized One vs One Approach in Multiclass Classification for Early Alzheimer's Disease and Mild Cognitive Impairment Diagnosis. IEEE Access 8 (2020)
Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz García, Diego Salas-Gonzalez, Javier Ramírez, Juan Manuel Górriz
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease. Int. J. Neural Syst. 30 (9) (2020)
Fermín Segovia, Javier Ramírez, Diego Castillo-Barnes, Diego Salas-Gonzalez, Manuel Gómez-Río, P. Sopena-Novales, Christophe Phillips, Yudong Zhang, J. M. Górriz
Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease. Neurocomputing 417 (2020)
Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Fermín Segovia, Ignacio A. Illán, Diego Salas-Gonzalez, Juan Manuel Górriz, Javier Ramírez
Comparison Between Affine and Non-affine Transformations Applied to I ^[123] [ 123 ] -FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis. IWINAC (1) (2019)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Roberto Cesar Morales-Ortega, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Diego Castillo-Barnes, Fermín Segovia, Ignacio A. Illán, Julio Ortega, Javier Ramírez, Juan Manuel Górriz
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia. IWINAC (1) (2019)
Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes
Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology. Int. J. Neural Syst. 29 (9) (2019)
Manuel Martínez-Ibañez, Andrés Ortiz, Jorge Munilla, Diego Salas-Gonzalez, J. M. Górriz, Javier Ramírez
Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis. IWINAC (1) (2019)
Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling. Int. J. Neural Syst. 29 (2) (2019)
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez
Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes. Neurocomputing 330 (2019)
Shuihua Wang, Yudong Zhang, Ming Yang, Bin Liu, Javier Ramírez, Juan Manuel Górriz
Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression. Integr. Comput. Aided Eng. 26 (4) (2019)
Andrés Ortiz, Jorge Munilla, Manuel Martínez-Ibañez, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks. Frontiers Neuroinformatics 13 (2019)
Ignacio A. Illán, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes, Fermín Segovia, Diego Salas-González
Support Vector Machine Failure in Imbalanced Datasets. IWINAC (1) (2019)
Juan Manuel Górriz, Javier Ramírez, MRC AIMS Consortium, John Suckling
On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging. Pattern Recognit. 93 (2019)
Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Meng-Chuan Lai, Michael V. Lombardo, Simon Baron-Cohen, John Suckling
A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms. Int. J. Neural Syst. 29 (7) (2019)
Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes, R. Sanchez-Vano, P. Sopena-Novales, Manuel Gómez-Río
Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach. PRNI (2018)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes, Diego Salas-Gonzalez, Fermín Segovia
Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study. SOCO-CISIS-ICEUTE (2018)
Diego Castillo-Barnes, Fermín Segovia, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, Javier Ramírez, Juan Manuel Górriz
Classification Improvement for Parkinson's Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images. SOCO-CISIS-ICEUTE (2018)
Diego Castillo-Barnes, Javier Ramírez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, Juan Manuel Górriz
Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease. Frontiers Neuroinformatics 12 (2018)
Ignacio Álvarez Illán, Javier Ramírez, Juan Manuel Górriz, Katja Pinker-Domenig, Anke Meyer-Baese
Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI. CoRR (2018)
Fermín Segovia, J. M. Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Marcelo García-Pérez
Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders. Log. J. IGPL 26 (6) (2018)
Ignacio A. Illán, J. Perez Matos, Javier Ramírez, Juan Manuel Górriz, Simon Y. Foo, Anke Meyer-Baese
3D Gabor Filters for Chest Segmentation in DCE-MRI. HAIS (2018)
Ignacio A. Illán, Javier Ramírez, J. M. Górriz, Katja Pinker-Domenig, Anke Meyer-Baese
Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets. SOCO-CISIS-ICEUTE (2018)
Ignacio A. Illán, Javier Ramírez, J. M. Górriz, Katja Pinker-Domenig, Anke Meyer-Baese
Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis. RAMBO+BIA+TIA@MICCAI (2018)
Andrés Ortiz, Javier Ramírez, Ricardo Cruz-Arándiga, María J. García-Tarifa, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz
Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder. SOCO-CISIS-ICEUTE (2018)
Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Johannes Levin, Madeleine Schuberth, Matthias Brendel, Axel Rominger, Kai Bötzel, Gaëtan Garraux, Christophe Phillips
Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism. Frontiers Neuroinformatics 11 (2017)
Carlos González-García, Juan Eloy Arco, Ana F. Palenciano, Javier Ramírez, María Ruz
Encoding, preparation and implementation of novel complex verbal instructions. NeuroImage 148 (2017)
Andrés Ortiz, Francisco Lozano, Alberto Peinado, María J. García-Tarifa, J. M. Górriz, Javier Ramírez
PET Image Classification Using HHT-Based Features Through Fractal Sampling. IWINAC (1) (2017)
Diego Castillo-Barnes, Carlos Arenas, Fermín Segovia, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database. IWINAC (1) (2017)
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, Fermín Segovia, Diego Castillo-Barnes, Diego Salas-Gonzalez
Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases. Frontiers Neuroinformatics 11 (2017)
Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Diego Salas-González, Andrés Ortiz
Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images. IWINAC (1) (2017)
Shuihua Wang, Yudong Zhang, Ming Yang, Bin Liu, Javier Ramírez, Juan Manuel Górriz
Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression. IWINAC (1) (2017)
Victor de Lafuente, Juan Manuel Górriz, Javier Ramírez, Eduardo Gonzalez
P300 brainwave extraction from EEG signals: An unsupervised approach. Expert Syst. Appl. 74 (2017)
Juan Manuel Górriz, Javier Ramírez, M. Moreno-Caballero, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Ignacio A. Illán, Fermín Segovia, Diego Salas-Gonzalez, Manuel Gómez-Río
Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes. MIUA (2017)
Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression. MIUA (2017)
Juan Manuel Górriz, Javier Ramírez, John Suckling, Ignacio Álvarez Illán, Andrés Ortiz García, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Shuihua Wang
Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM. IEEE Access 5 (2017)
Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz, Diego Salas-Gonzalez
Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology. IWINAC (1) (2017)
Jorge Munilla, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Alzheimer's Disease Neuroimaging Initiative
Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease. Frontiers Neuroinformatics 11 (2017)
Juan Manuel Górriz, Javier Ramírez, John Suckling, Francisco Jesús Martínez-Murcia, Ignacio Álvarez, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Carlos García Puntonet
A semi-supervised learning approach for model selection based on class-hypothesis testing. Expert Syst. Appl. 90 (2017)
Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Andrés Ortiz
Case-based statistical learning applied to SPECT image classification. Medical Imaging: Computer-Aided Diagnosis (2017)
Diego Castillo-Barnes, Ignacio Peis, Francisco Jesús Martínez-Murcia, Fermín Segovia, Ignacio A. Illán, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. Frontiers Neuroinformatics 11 (2017)
Abdelbasset Brahim, Laila Khedher, Juan Manuel Górriz, Javier Ramírez, Hechmi Toumi, Eric Lespessailles, Rachid Jennane, Mohammed El Hassouni
I-FP-CIT imaging. ATSIP (2017)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán
A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease. IWINAC (1) (2017)
Fermín Segovia, Diego Salas-Gonzalez, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia
Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism. Medical Imaging: Computer-Aided Diagnosis (2017)
Laila Khedher, Ignacio Álvarez, Juan Manuel Górriz, Javier Ramírez, Abdelbasset Brahim, Anke Meyer-Baese
Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support. Int. J. Neural Syst. 27 (3) (2017)
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz
Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis. MIUA (2017)
Fermín Segovia, Marcelo García-Pérez, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia
Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow. SOCO-CISIS-ICEUTE (2016)
Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
F-DMFP-PET data to assist the diagnosis of parkinsonism. PRNI (2016)
Javier Ramírez, Juan Manuel Górriz, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez
Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques. MMSP (2016)
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz
A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease. Int. J. Neural Syst. 26 (7) (2016)
Andrés Ortiz, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease. Int. J. Neural Syst. 26 (7) (2016)
Juan Eloy Arco, Javier Ramírez, Carlos García Puntonet, Juan Manuel Górriz, María Ruz
Improving short-term prediction from MCI to AD by applying searchlight analysis. ISBI (2016)

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Javier Ramírez