Artículos con órdenes de acceso público - Wolfgang HufMás información
No disponibles en ningún lugar: 3
10.3389/fnins. 2015.00472 Identification of Voxels Confounded by Venous Signals Using Resting-State fMRI Functional Connectivity Graph Community Identification.
K Kalcher, RN Boubela, W Huf, C Našel, E Moser, H Fukuyama, X Di
Frontiers in Neuroscience, 2015
Órdenes: Austrian Science Fund
P. 1. e. 011 Fronto-limbic interaction of working memory and emotion in the medial prefrontal cortex
G Pail, W Huf, C Kasess, S Kasper, E Moser, B Brocke, ...
European Neuropsychopharmacology 20, S294, 2010
Órdenes: US National Institutes of Health, Austrian Science Fund, German Research …
P. 1. e. 015 Emotion cognition interaction located using surface-based versus volume-based analysis
W Huf, G Pail, B Hartinger, C Kasess, S Kasper, VS Mattay, ...
European Neuropsychopharmacology 20, S296-S297, 2010
Órdenes: US National Institutes of Health, Austrian Science Fund, German Research …
Disponibles en algún lugar: 13
Beyond noise: using temporal ICA to extract meaningful information from high-frequency fMRI signal fluctuations during rest
RN Boubela, K Kalcher, W Huf, C Kronnerwetter, P Filzmoser, E Moser
Frontiers in human neuroscience 7, 168, 2013
Órdenes: Austrian Science Fund
fMRI measurements of amygdala activation are confounded by stimulus correlated signal fluctuation in nearby veins draining distant brain regions
RN Boubela, K Kalcher, W Huf, EM Seidel, B Derntl, L Pezawas, C Našel, ...
Scientific reports 5 (1), 10499, 2015
Órdenes: Austrian Science Fund
Fully exploratory network independent component analysis of the 1000 functional connectomes database
K Kalcher, W Huf, RN Boubela, P Filzmoser, L Pezawas, B Biswal, ...
Frontiers in human neuroscience 6, 301, 2012
Órdenes: Austrian Science Fund
The spectral diversity of resting-state fluctuations in the human brain
K Kalcher, RN Boubela, W Huf, L Bartova, C Kronnerwetter, B Derntl, ...
PloS one 9 (4), e93375, 2014
Órdenes: Austrian Science Fund
Prevalence of second victims, risk factors and support strategies among young German physicians in internal medicine (SeViD-I survey)
R Strametz, P Koch, A Vogelgesang, A Burbridge, H Rösner, ...
Journal of occupational medicine and toxicology 16, 1-11, 2021
Órdenes: German Research Foundation
Big data approaches for the analysis of large-scale fMRI data using apache spark and GPU processing: a demonstration on resting-state fMRI data from the human connectome project
RN Boubela, K Kalcher, W Huf, C Našel, E Moser
Frontiers in neuroscience 9, 492, 2016
Órdenes: US National Institutes of Health, Austrian Science Fund
RESCALE: voxel-specific task-fMRI scaling using resting state fluctuation amplitude
K Kalcher, RN Boubela, W Huf, BB Biswal, P Baldinger, U Sailer, ...
Neuroimage 70, 80-88, 2013
Órdenes: US National Institutes of Health, Austrian Science Fund
Platelet serotonin transporter function predicts default-mode network activity
C Scharinger, U Rabl, CH Kasess, BM Meyer, T Hofmaier, K Diers, ...
PLoS One 9 (3), e92543, 2014
Órdenes: Austrian Science Fund
Model based estimation of the SARS-CoV-2 immunization level in austria and consequences for herd immunity effects
M Bicher, C Rippinger, G Schneckenreither, N Weibrecht, C Urach, ...
Scientific reports 12 (1), 2872, 2022
Órdenes: Vienna Science and Technology Fund, Austria
Recommendations for OCT angiography reporting in retinal vascular disease: a Delphi approach by international experts
MR Munk, AH Kashani, R Tadayoni, JF Korobelnik, S Wolf, F Pichi, A Koh, ...
Ophthalmology retina 6 (9), 753-761, 2022
Órdenes: US National Institutes of Health
On the generalizability of resting-state fMRI machine learning classifiers
W Huf, K Kalcher, RN Boubela, G Rath, A Vecsei, P Filzmoser, E Moser
Frontiers in human neuroscience 8, 502, 2014
Órdenes: Austrian Science Fund
Identification of voxels confounded by venous signals using resting-state fMRI functional connectivity graph community identification
K Kalcher, RN Boubela, W Huf, C Našel, E Moser
Frontiers in Neuroscience 9, 472, 2015
Órdenes: Austrian Science Fund
A highly parallelized framework for computationally intensive MR data analysis
RN Boubela, W Huf, K Kalcher, R Sladky, P Filzmoser, L Pezawas, ...
Magnetic resonance materials in physics, biology and medicine 25, 313-320, 2012
Órdenes: Austrian Science Fund
La información de publicación y financiación se determina de forma automática mediante un programa informático