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A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.

D. Castillo-Barnes, I. Peis, F. Martínez-Murcia, F. Segovia, I. Illán, J. Górriz, J. Ramírez, and D. Salas-Gonzalez. Frontiers Neuroinformatics, (2017)

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Javier Ramírez Gómez

Santiago Javier Ramírez Aguilar

Javier Ramirez Angulo

Francisco Javier Veredas Ramirez

Rafael Ramírez

Other publications of authors with the same name

Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test.F. Martínez-Murcia, J. Górriz, J. Ramírez, C. Puntonet, and D. Salas-Gonzalez. Expert Syst. Appl., 39 (10): 9676-9685 (2012)A Novel LMS Algorithm Applied to Adaptive Noise Cancellation.J. Górriz, J. Ramírez, S. Cruces-Alvarez, C. Puntonet, E. Lang, and D. Erdogmus. IEEE Signal Process. Lett., 16 (1): 34-37 (2009)Efficient Rns-based Design of Programmable Fir Filters Targeting Fpl Technology.J. Ramírez, U. Meyer-Bäse, and A. García. J. Circuits Syst. Comput., 14 (1): 165-177 (2005)A Fast QRNS-Based Algorithm for the DCT and Its Field-Programmable Logic Implementation.J. Ramírez, and A. García. J. Circuits Syst. Comput., 12 (1): 111- (2003)Identifying endophenotypes of autism: a multivariate approach.F. Segovia, R. Holt, M. Spencer, J. Górriz, J. Ramírez, C. Puntonet, C. Phillips, L. Chura, S. Baron-Cohen, and J. Suckling. Frontiers Comput. Neurosci., (2014)A semi-supervised learning approach for model selection based on class-hypothesis testing.J. Górriz, J. Ramírez, J. Suckling, F. Martínez-Murcia, I. Álvarez, F. Segovia, A. Ortiz, D. Salas-Gonzalez, D. Castillo-Barnes, and C. Puntonet. Expert Syst. Appl., (2017)Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification.J. Arco, A. Ortiz, J. Ramírez, F. Martínez-Murcia, Y. Zhang, J. Broncano, M. Berbís, J. del Val, A. Luna, and J. Górriz. IEEE Trans. Emerg. Top. Comput. Intell., 7 (5): 1431-1441 (October 2023)EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.F. Martínez-Murcia, A. Ortiz, J. Górriz, J. Ramírez, P. Lopez-Abarejo, M. Lopez-Zamora, and J. Luque. Int. J. Neural Syst., 30 (7): 2050037:1-2050037:17 (2020)Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.A. Ortiz, J. Munilla, J. Górriz, and J. Ramírez. Int. J. Neural Syst., 26 (7): 1650025:1-1650025:23 (2016)Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders.E. de las Heras, F. Martínez-Murcia, I. Illán, C. Jiménez-Mesa, D. Castillo-Barnes, J. Ramírez, and J. Górriz. CoRR, (2023)

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Disambiguation of "Ramírez, Javier"

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A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.

Please choose a person to relate this publication to

Javier Ramírez Gómez

Santiago Javier Ramírez Aguilar

Javier Ramirez Angulo

Francisco Javier Veredas Ramirez

Rafael Ramírez

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ramírez, Javier"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.

Please choose a person to relate this publication to

Javier Ramírez Gómez

Santiago Javier Ramírez Aguilar

Javier Ramirez Angulo

Francisco Javier Veredas Ramirez

Rafael Ramírez

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.