Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Juan Antonio Hernandez-Tamames"'
Autor:
Alexandra Cristobal-Huerta, Angel Torrado-Carvajal, Cristina Rodriguez-Sanchez, Juan Antonio Hernandez-Tamames, Maria Luaces, Susana Borromeo
Publikováno v:
Sensors, Vol 22, Iss 15, p 5648 (2022)
Current m-Health scenarios in the smart living era, as the interpretation of the smart city at each person’s level, present several challenges associated with interoperability between different clinical devices and applications. The Continua Health
Externí odkaz:
https://doaj.org/article/839ebe48d05d4aa1b08b1689d62b1729
Autor:
Mika W. Vogel, Meike W. Vernooij, Juan‐Antonio Hernandez Tamames, M. Arfan Ikram, Rebecca M. E. Steketee, Esther A. H. Warnert, Gyula Kotek
Publikováno v:
Magnetic Resonance in Medicine
Magnetic Resonance in Medicine, 84(4), 2048-2054. John Wiley & Sons Inc.
Magnetic Resonance in Medicine, 84(4), 2048-2054. John Wiley & Sons Inc.
Purpose: Pseudocontinuous arterial spin labeling (pCASL) allows for noninvasive measurement of regional cerebral blood flow (CBF), which has the potential to serve as biomarker for neurodegenerative and cardiovascular diseases. This work aimed to imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8e97f9f24f02fe7dc41071e9dafb812
https://doi.org/10.1002/mrm.28271
https://doi.org/10.1002/mrm.28271
Autor:
Julián Benito-León, Virginia Mato-Abad, Elan D. Louis, Juan Antonio Hernández-Tamames, Juan Álvarez-Linera, Félix Bermejo-Pareja, Ángela Domingo-Santos, Luis Collado, Juan Pablo Romero
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Diffusion tensor imaging (DTI) studies have detected white matter microstructural changes in essential tremor (ET). However, it is still unclear whether these changes are related to cognitive deficits, which have been described in ET patient
Externí odkaz:
https://doaj.org/article/29ef8d29519046ce9c1d45f0e8101a2d
Autor:
Gloria Diaz, Eduardo Romero, Juan Antonio Hernández-Tamames, Vicente Molina, Norberto Malpica
Publikováno v:
Acta Biológica Colombiana, Vol 15, Iss 3 (2010)
This paper presents an automatic approach which classifies structural Magnetic Resonance images into pathological or healthy controls. A classification model was trained to find the boundaries that allow to separate the study groups. The method uses
Externí odkaz:
https://doaj.org/article/5b986420968741458b82032e1ca95fea