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Neuroscience Letters
|
May 30, 2009
Analysis of SPECT brain images for the diagnosis of Alzheimer's disease using moments and support vector machines
Diego Salas-Gonzalez, Juan M Górriz, Javier Ramírez, et al.
Frontiers in Neuroinformatics
|
December 7, 2017
A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI
Diego Castillo-Barnes, Ignacio Peis, Francisco J Martínez-Murcia, et al.
Frontiers in Aging Neuroscience
|
June 23, 2018
Using CT Data to Improve the Quantitative Analysis of <sup>18</sup>F-FBB PET Neuroimages
Fermín Segovia, Raquel Sánchez-Vañó, Juan M Górriz, et al.
Frontiers in Computational Neuroscience
|
June 18, 2014
Identifying endophenotypes of autism: a multivariate approach
Fermín Segovia, Rosemary Holt, Michael Spencer, et al.
Neuroimage
|
April 24, 2026
Robust validation of neuroimaging and clinical models via the SAR method: A case study based on the ADNI dataset
Alejandro Hernández Segura, Ignacio Álvarez Illán, Javier Ramírez Pérez de Inestrosa, et al.
Frontiers in Neuroinformatics
|
April 21, 2017
Multivariate Analysis of <sup>18</sup>F-DMFP PET Data to Assist the Diagnosis of Parkinsonism
Fermín Segovia, Juan M Górriz, Javier Ramírez, et al.
Journal of Alzheimer'S Disease : JAD
|
August 15, 2018
Usefulness of Dual-Point Amyloid PET Scans in Appropriate Use Criteria: A Multicenter Study
Fermín Segovia, Manuel Gómez-Río, Raquel Sánchez-Vañó, et al.
Journal of Personalized Medicine
|
November 26, 2025
Baseline Findings from Dual-Phase Amyloid PET Study in Newly Diagnosed Multiple Sclerosis: Exploring Its Potential as a Biomarker of Myelination and Neurodegeneration
José María Barrios-López, Eva María Triviño-Ibáñez, Adrián Piñeiro-Donis, et al.
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of 2
Search research articles
Search
Showing results (11-20 of 18) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 18 results.
Neuroscience Letters
|
May 30, 2009
Analysis of SPECT brain images for the diagnosis of Alzheimer's disease using moments and support vector machines
Diego Salas-Gonzalez, Juan M Górriz, Javier Ramírez, et al.
Frontiers in Neuroinformatics
|
December 7, 2017
A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI
Diego Castillo-Barnes, Ignacio Peis, Francisco J Martínez-Murcia, et al.
Frontiers in Aging Neuroscience
|
June 23, 2018
Using CT Data to Improve the Quantitative Analysis of <sup>18</sup>F-FBB PET Neuroimages
Fermín Segovia, Raquel Sánchez-Vañó, Juan M Górriz, et al.
Frontiers in Computational Neuroscience
|
June 18, 2014
Identifying endophenotypes of autism: a multivariate approach
Fermín Segovia, Rosemary Holt, Michael Spencer, et al.
Neuroimage
|
April 24, 2026
Robust validation of neuroimaging and clinical models via the SAR method: A case study based on the ADNI dataset
Alejandro Hernández Segura, Ignacio Álvarez Illán, Javier Ramírez Pérez de Inestrosa, et al.
Frontiers in Neuroinformatics
|
April 21, 2017
Multivariate Analysis of <sup>18</sup>F-DMFP PET Data to Assist the Diagnosis of Parkinsonism
Fermín Segovia, Juan M Górriz, Javier Ramírez, et al.
Journal of Alzheimer'S Disease : JAD
|
August 15, 2018
Usefulness of Dual-Point Amyloid PET Scans in Appropriate Use Criteria: A Multicenter Study
Fermín Segovia, Manuel Gómez-Río, Raquel Sánchez-Vañó, et al.
Journal of Personalized Medicine
|
November 26, 2025
Baseline Findings from Dual-Phase Amyloid PET Study in Newly Diagnosed Multiple Sclerosis: Exploring Its Potential as a Biomarker of Myelination and Neurodegeneration
José María Barrios-López, Eva María Triviño-Ibáñez, Adrián Piñeiro-Donis, et al.
Page
of 2