Diego Castillo-Barnes
Diego Castillo-Barnes
PhD Student at University of Granada
Verified email at ugr.es
Title
Cited by
Cited by
Year
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares
J Ramírez, JM Górriz, A Ortiz, FJ Martínez-Murcia, F Segovia, ...
Journal of neuroscience methods 302, 47-57, 2018
282018
A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease
FJ Martinez-Murcia, A Ortiz, JM Górriz, J Ramírez, F Segovia, ...
International Work-Conference on the Interplay Between Natural and …, 2017
212017
Studying the manifold structure of Alzheimer's Disease: a deep learning approach using convolutional autoencoders
FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes
IEEE Journal of Biomedical and Health Informatics 24 (1), 17-26, 2019
162019
Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease
D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, ...
Frontiers in neuroinformatics 12, 53, 2018
142018
A semi-supervised learning approach for model selection based on class-hypothesis testing
JM Gorriz, J Ramirez, J Suckling, FJ Martínez-Murcia, IA Illán, F Segovia, ...
Expert Systems with Applications 90, 40-49, 2017
102017
Functional brain imaging synthesis based on image decomposition and kernel modeling: Application to neurodegenerative diseases
FJ Martinez-Murcia, JM Górriz, J Ramírez, IA Illán, F Segovia, ...
Frontiers in neuroinformatics 11, 65, 2017
102017
Deep convolutional autoencoders vs PCA in a highly-unbalanced Parkinson’s disease dataset: a DaTSCAN study
FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes, ...
The 13th International Conference on Soft Computing Models in Industrial and …, 2018
7*2018
Evaluating alzheimer’s disease diagnosis using texture analysis
FJ Martinez-Murcia, JM Górriz, J Ramírez, F Segovia, D Salas-Gonzalez, ...
Annual Conference on Medical Image Understanding and Analysis, 470-481, 2017
72017
Periodogram connectivity of eeg signals for the detection of dyslexia
FJ Martínez-Murcia, A Ortiz, R Morales-Ortega, PJ López, JL Luque, ...
International Work-Conference on the Interplay Between Natural and …, 2019
62019
Automatic separation of Parkinsonian patients and control subjects based on the striatal morphology
F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, D Castillo-Barnes, ...
International Work-Conference on the Interplay Between Natural and …, 2017
52017
Assisted diagnosis of Parkinsonism based on the striatal morphology
F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, D Castillo-Barnes
International journal of neural systems 29 (09), 1950011, 2019
42019
Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging
FJ Martinez-Murcia, JM Górriz, J Ramírez, F Segovia, D Salas-Gonzalez, ...
Journal of Alzheimer's Disease 65 (3), 713-729, 2018
32018
On a heavy-tailed intensity normalization of the Parkinson’s progression markers initiative brain database
D Castillo-Barnes, C Arenas, F Segovia, FJ Martínez-Murcia, IA Illán, ...
International Work-Conference on the Interplay Between Natural and …, 2017
32017
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning
D Castillo-Barnes, L Su, J Ramírez, D Salas-Gonzalez, ...
Information Fusion 58, 153-167, 2020
22020
Comparison Between Affine and Non-affine Transformations Applied to I-FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis
D Castillo-Barnes, FJ Martinez-Murcia, F Segovia, IA Illán, ...
International Work-Conference on the Interplay Between Natural and …, 2019
22019
Classification improvement for Parkinson’s disease diagnosis using the gradient magnitude in DaTSCAN SPECT images
D Castillo-Barnes, F Segovia, FJ Martinez-Murcia, D Salas-Gonzalez, ...
The 13th International Conference on Soft Computing Models in Industrial and …, 2018
22018
A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI
D Castillo-Barnes, I Peis, FJ Martínez-Murcia, F Segovia, IA Illán, ...
Frontiers in neuroinformatics 11, 66, 2017
22017
Optimized One vs One approach in multiclass classification for early Alzheimer’s Disease and Mild Cognitive Impairment diagnosis
C Jiménez-Mesa, IA Illan, A Martín-Martín, D Castillo-Barnes, ...
IEEE Access, 2020
12020
Support Vector Machine Failure in Imbalanced Datasets
IA Illan, JM Górriz, J Ramirez, FJ Martínez-Murcia, D Castillo-Barnes, ...
International Work-Conference on the Interplay Between Natural and …, 2019
12019
[123I] FP-CIT SPECT brain imaging for Parkinson’s diagnosis using contour lines
M Molina-Molina, D Castillo-Barnes, FJ Martínez-Murcia, F Segovia, ...
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018
12018
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