Search Results - "Illán, I.A"

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  1. 1

    Functional activity maps based on significance measures and Independent Component Analysis by Martínez-Murcia, F.J, Górriz, J.M, Ramírez, J, Puntonet, C.G, Illán, I.A

    “…Abstract The use of functional imaging has been proven very helpful for the process of diagnosis of neurodegenerative diseases, such as Alzheimer's Disease…”
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    Journal Article
  2. 2

    Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares by Ramírez, J., Górriz, J.M., Ortiz, A., Martínez-Murcia, F.J., Segovia, F., Salas-Gonzalez, D., Castillo-Barnes, D., Illán, I.A., Puntonet, C.G.

    Published in Journal of neuroscience methods (15-05-2018)
    “…[Display omitted] •Mild cognitive impairment prediction method based on an ensemble of one vs. all multi-class classifier.•Revised ANOVA feature selection…”
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    Journal Article
  3. 3

    Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease by Rojas, A., Górriz, J.M., Ramírez, J., Illán, I.A., Martínez-Murcia, F.J., Ortiz, A., Gómez Río, M., Moreno-Caballero, M.

    Published in Expert systems with applications (01-06-2013)
    “…► Procedure to classify DaTSCAN images using Empirical Mode Decomposition (EMD). ► Intensity normalization and filtering, PCA and SVM are used in combination…”
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    Journal Article
  4. 4

    A semi-supervised learning approach for model selection based on class-hypothesis testing by Gorriz, Juan M., Ramirez, Javier, Suckling, John, Martinez-Murcia, F.J., Illán, I.A., Segovia, F., Ortiz, A., Salas-González, D., Castillo-Barnés, D., Puntonet, C.G.

    Published in Expert systems with applications (30-12-2017)
    “…•A model selection method is proposed by hypothesis testing and feature extraction.•Partial least squares is applied to obtain the extended datasets.•The model…”
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    Journal Article
  5. 5

    Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging by Martínez-Murcia, F.J., Górriz, J.M., Ramírez, J., Illán, I.A., Ortiz, A.

    Published in Neurocomputing (Amsterdam) (27-02-2014)
    “…The study of neurodegenerative diseases has been based for some time on visual and semi-quantitative analysis of medical imaging. This is the case of…”
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    Journal Article Conference Proceeding
  6. 6

    Computer aided diagnosis of Alzheimer’s disease using component based SVM by Illán, I.A., Górriz, J.M., López, M.M., Ramírez, J., Salas-Gonzalez, D., Segovia, F., Chaves, R., Puntonet, C.G.

    Published in Applied soft computing (01-03-2011)
    “…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder first affecting memory functions and then gradually affecting all cognitive functions with…”
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    Journal Article
  7. 7

    Functional brain image classification using association rules defined over discriminant regions by Chaves, R., Ramírez, J., Górriz, J.M., Illán, I.A.

    Published in Pattern recognition letters (01-09-2012)
    “…► Computer aided diagnosis system for the detection of Alzheimer’s Disease. ► Fisher Discriminant Ratio and activation estimation for voxel selection. ►…”
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    Journal Article
  8. 8

    Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches by Padilla, P., Górriz, J.M., Ramírez, J., Salas-González, D., Illán, I.A.

    Published in Neurocomputing (Amsterdam) (20-02-2015)
    “…This work is focused on the study of the different intensity normalization procedures available for the proper normalization of 3D functional brain images…”
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    Journal Article
  9. 9

    On the empirical mode decomposition applied to the analysis of brain SPECT images by Gallix, A., Górriz, J.M., Ramírez, J., Illán, I.A., Lang, E.W.

    Published in Expert systems with applications (15-12-2012)
    “…► An automatic procedure to assist the diagnosis of early Alzheimer’s disease is presented. ► It is based on feature selection using the empirical mode…”
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    Journal Article
  10. 10

    18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis by Illán, I.A., Górriz, J.M., Ramírez, J., Salas-Gonzalez, D., López, M.M., Segovia, F., Chaves, R., Gómez-Rio, M., Puntonet, C.G.

    Published in Information sciences (15-02-2011)
    “…Finding sensitive and appropriate technologies for non-invasive observation and early detection of Alzheimer’s disease (AD) is of fundamental importance to…”
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    Journal Article
  11. 11

    Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities by Gorriz, J.M., Jimenez-Mesa, C., Romero-Garcia, R., Segovia, F., Ramirez, J., Castillo-Barnes, D., Martinez-Murcia, F.J., Ortiz, A., Salas-Gonzalez, D., Illan, I.A., Puntonet, C.G., Lopez-Garcia, D., Gomez-Rio, M., Suckling, J.

    Published in Information fusion (01-02-2021)
    “…In the 1970s a novel branch of statistics emerged focusing its effort on the selection of a function for the pattern recognition problem that would fulfill a…”
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    Journal Article
  12. 12

    Granger causality-based information fusion applied to electrical measurements from power transformers by Rodriguez-Rivero, J., Ramirez, J., Martínez-Murcia, F.J., Segovia, F., Ortiz, A., Salas, D., Castillo-Barnes, D., Illan, I.A., Puntonet, C.G., Jimenez-Mesa, C., Leiva, F.J., Carillo, S., Suckling, J., Gorriz, J.M.

    Published in Information fusion (01-05-2020)
    “…•A novel early information fusion method in power networks.•Based on Granger causality, it allows to assess functional connectivity.•New models for power…”
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    Journal Article
  13. 13

    Automatic selection of ROIs using a model-based clustering approach by Segovia, F., Gorriz, J.M., Ramirez, J., Salas-Gonzalez, D., Illan, I.A., Lopez, M., Chaves, R., Padilla, P., Puntonet, C.G.

    “…This paper presents a new method for automatic selection of Regions of Interest (ROIs) of functional brain images based on a Gaussian Mixture Model (GMM). This…”
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    Conference Proceeding
  14. 14

    fMRI data analysis using a novel clustering technique by Segovia, F., Gorriz, J.M., Ramirez, J., Salas-Gonzalez, D., Illan, I.A., Lopez, M., Chaves, R., Puntonet, C.G., Lang, E.W., Keck, I.R.

    “…This paper marks the beginning of a new way of analyzing fMRI images. The idea is to model these images with a mixture of Gaussians, that allows to carry out…”
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    Conference Proceeding