Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Raquel Montes-Diez"'
Autor:
Elisabet Huertas-Hoyas, Nuria Máximo-Bocanegra, Carlos Diaz-Toro, Raquel Montes-Diez, Jorge Pérez-Corrales, Patricia Sánchez-Herrera-Baeza, Rosa Mª Martínez-Piédrola, Cristina García-Bravo, Carlos Sánchez-Camarero, Marta Pérez-de-Heredia-Torres
Publikováno v:
Occupational Therapy International, Vol 2020 (2020)
Background. Manipulative dexterity impairments affect 76% of individuals with multiple sclerosis (MS). Patients with MS can experience reduced skill when performing both basic activities of daily living and instrumental activities of daily living. Ma
Externí odkaz:
https://doaj.org/article/09b50e1f37214421bf4fda655b4c8652
Autor:
Raquel Montes Diez, Simon P. Wilson, Ana Beatriz Solana, Juan Antonio Hernández Tamames, Alicia Quirós
Publikováno v:
Digital Signal Processing. 47:205-211
This work shows an example of the application of Bayesian dynamic linear models in fMRI analysis. Estimating the error variances of such a model, we are able to obtain samples from the posterior distribution of the signal-to-noise ratio for each voxe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0514c2570fc5275e4265431f536fd6e6
https://doi.org/10.1016/j.dsp.2015.06.008
https://doi.org/10.1016/j.dsp.2015.06.008
Publikováno v:
NeuroImage. 52:995-1004
This research describes a new Bayesian spatiotemporal model to analyse BOLD fMRI studies. In the temporal dimension, we describe the shape of the hemodynamic response function (HRF) with a transfer function model. The spatial continuity and local hom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b017039ea4d6e05b03be13f25516413
https://doi.org/10.1016/j.neuroimage.2009.12.085
https://doi.org/10.1016/j.neuroimage.2009.12.085
Publikováno v:
Biological Conservation. 113:379-387
We provide an introduction to Bayesian methods in conservation biology, illustrating inferences, prediction and decision making issues. After presenting the basic framework with a recovery plan evaluation problem, we illustrate more complex issues re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2aee3bbae909b59623da196dc5190aa
https://doi.org/10.1016/s0006-3207(03)00124-1
https://doi.org/10.1016/s0006-3207(03)00124-1
Publikováno v:
Biological and Medical Data Analysis ISBN: 9783540680635
ISBMDA
ISBMDA
Functional Magnetic Resonance Imaging (fMRI) is a non-invasive technique for obtaining a series of images over time under a certain stimulation paradigm. We are interested in identifying regions of brain activity by observing differences in blood mag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5ca5bff0a0adc15414e5328f064abbb
https://doi.org/10.1007/11946465_30
https://doi.org/10.1007/11946465_30
Publikováno v:
Biological and Medical Data Analysis ISBN: 9783540239642
ISBMDA
ISBMDA
Screening tests have been designed to identify women at increased risk of having a Down syndrome pregnancy. These tests have no risks of miscarriage, but they are not able to determine with certainty whether a fetus is affected. Diagnostic tests such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::637b657dbda884a703c8121dc018a864
https://doi.org/10.1007/978-3-540-30547-7_10
https://doi.org/10.1007/978-3-540-30547-7_10
Publikováno v:
Biological and Medical Data Analysis ISBN: 9783540239642
ISBMDA
ISBMDA
This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a morphological method and a pyramidal Gaussian decomposition (Discrete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::290e180af7d5ebedabdb9ea921fb069a
https://doi.org/10.1007/978-3-540-30547-7_3
https://doi.org/10.1007/978-3-540-30547-7_3
Publikováno v:
Biometric Authentication ISBN: 9783540224990
ECCV Workshop BioAW
ECCV Workshop BioAW
We present a face verification system with an acceptance threshold automatically computed. The user is allowed to provide the rate between the costs assumed for a false acceptance and false rejection. This rate between costs can be intuitively known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b83c74c6401e86f31ebfda93691c1db
https://doi.org/10.1007/978-3-540-25976-3_7
https://doi.org/10.1007/978-3-540-25976-3_7