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Items: 1 to 20 of 63

1.

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

Ortiz A, Munilla J, Górriz JM, Ramírez J.

Int J Neural Syst. 2016 Nov;26(7):1650025. doi: 10.1142/S0129065716500258. Epub 2016 Apr 4.

PMID:
27478060
2.

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

Martinez-Murcia FJ, Górriz JM, Ramírez J, Ortiz A.

Int J Neural Syst. 2016 Nov;26(7):1650024. doi: 10.1142/S0129065716500246. Epub 2016 Mar 29.

PMID:
27354189
3.

An Optimal Approach for Selecting Discriminant Regions for the Diagnosis of Alzheimer's Disease.

Salas-Gonzalez D, Segovia F, Martínez-Murcia FJ, Lang EW, Gorriz JM, Ramırez J.

Curr Alzheimer Res. 2016;13(7):838-44.

PMID:
27087440
4.

Editorial: Statistical Signal Processing in the Analysis, Characterization and Detection of Alzheimer's Disease.

Weiner MW, Górriz JM, Ramírez J, Castiglioni I.

Curr Alzheimer Res. 2016;13(5):466-8. No abstract available.

PMID:
27025774
5.

Functional Biomedical Images of Alzheimer's Disease. A Green's Function-based Empirical Mode Decomposition Study.

Al-Baddai S, Neubauer A, Tomé AM, Vigneron V, Salas-Gonzalez D, Górriz JM, Puntonet CG, Lang EW; Alzheimer's Disease Neuroimaging Initiative.

Curr Alzheimer Res. 2016;13(6):695-707.

PMID:
27001676
6.

Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data.

Krashenyi I, Ramírez J, Popov A, Górriz JM, The Alzheimer's Disease Neuroimaging Initiative.

Curr Alzheimer Res. 2016;13(5):545-56.

PMID:
26971942
7.

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

Martinez-Murcia FJ, Górriz JM, Ramírez J, Ortiz A, For The Alzheimer's Disease Neuroimaging Initiative.

Curr Alzheimer Res. 2016;13(5):575-88.

PMID:
26971941
8.

Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks.

Segovia F, Illán IA, Górriz JM, Ramírez J, Rominger A, Levin J.

Front Comput Neurosci. 2015 Nov 5;9:137. doi: 10.3389/fncom.2015.00137. eCollection 2015.

9.

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis.

Ortiz A, Munilla J, Álvarez-Illán I, Górriz JM, Ramírez J; Alzheimer's Disease Neuroimaging Initiative.

Front Comput Neurosci. 2015 Nov 3;9:132. doi: 10.3389/fncom.2015.00132. eCollection 2015.

10.

Combining Feature Extraction Methods to Assist the Diagnosis of Alzheimer's Disease.

Segovia F, Górriz JM, Ramírez J, Phillips C, For The Alzheimer's Disease Neuroimaging Initiative.

Curr Alzheimer Res. 2016;13(7):831-7.

PMID:
26567734
11.

Using frequency analysis to improve the precision of human body posture algorithms based on Kalman filters.

Olivares A, Górriz JM, Ramírez J, Olivares G.

Comput Biol Med. 2016 May 1;72:229-38. doi: 10.1016/j.compbiomed.2015.08.007. Epub 2015 Aug 24.

PMID:
26337122
12.

Correction: Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism.

Brahim A, Ramírez J, Górriz JM, Khedher L, Salas-Gonzalez D.

PLoS One. 2015 Jul 31;10(7):e0135107. doi: 10.1371/journal.pone.0135107. eCollection 2015. No abstract available.

13.

Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism.

Brahim A, Ramírez J, Górriz JM, Khedher L, Salas-Gonzalez D.

PLoS One. 2015 Jun 18;10(6):e0130274. doi: 10.1371/journal.pone.0130274. eCollection 2015. Erratum in: PLoS One. 2015;10(7):e0135107.

14.

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

Salas-Gonzalez D, Górriz JM, Ramírez J, Illán IA, Padilla P, Martínez-Murcia FJ, Lang EW.

Neuroinformatics. 2015 Oct;13(4):391-402. doi: 10.1007/s12021-015-9262-9.

PMID:
25749984
15.

Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach.

Illan IA, Górriz JM, Ramírez J, Meyer-Base A.

Front Comput Neurosci. 2014 Nov 26;8:156. doi: 10.3389/fncom.2014.00156. eCollection 2014.

16.

Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines.

Khedher L, Ramírez J, Górriz JM, Brahim A.

Stud Health Technol Inform. 2014;207:271-9.

PMID:
25488233
17.

Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach.

Brahim A, Górriz JM, Ramírez J, Khedher L.

Stud Health Technol Inform. 2014;207:251-60.

PMID:
25488231
18.

Projecting MRI brain images for the detection of Alzheimer's Disease.

Martínez-Murcia FJ, Górriz JM, Ramírez J, Alvarez Illán I, Salas-González D, Segovia F; Alzheimer's Disease Neuroimaging Initiative.

Stud Health Technol Inform. 2014;207:225-33.

PMID:
25488228
19.

Affine registration of [123I]FP-CIT SPECT brain images.

Salas-Gonzalez D, Górriz JM, Ramírez J, A Illán I, Padilla P, Martínez-Murcia FJ, Lang EW.

Stud Health Technol Inform. 2014;207:65-73.

PMID:
25488212
20.

Gated Sensor Fusion: A way to Improve the Precision of Ambulatory Human Body Motion Estimation.

Olivares A, Górriz JM, Ramírez J, Olivares G.

Stud Health Technol Inform. 2014;207:37-46.

PMID:
25488209
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