Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Chloe Hutton

Showing results (11-20 of 43) with videos related to

Pageof 5
Sort By:
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 11, 2012
Improving visual perception through neurofeedbackFrank Scharnowski, Chloe Hutton, Oliver Josephs, et al.
Plos One|January 4, 2013
Modelling temporal stability of EPI time series using magnitude images acquired with multi-channel receiver coilsChloe Hutton, Evelyne Balteau, Antoine Lutti, et al.
Magma (New York, N.Y.)|February 3, 2007
Optimized EPI for fMRI studies of the orbitofrontal cortex: compensation of susceptibility-induced gradients in the readout directionNikolaus Weiskopf, Chloe Hutton, Oliver Josephs, et al.
Magnetic Resonance in Medicine|June 24, 2010
Optimization and validation of methods for mapping of the radiofrequency transmit field at 3TAntoine Lutti, Chloe Hutton, Jürgen Finsterbusch, et al.
Neuroimage|March 8, 2008
Voxel-based cortical thickness measurements in MRIChloe Hutton, Enrico De Vita, John Ashburner, et al.
Plos One|September 21, 2018
Validation of a standardized MRI method for liver fat and T2* quantificationChloe Hutton, Michael L Gyngell, Matteo Milanesi, et al.
Neuroimage|December 17, 2017
Real-time decoding of covert attention in higher-order visual areasJinendra Ekanayake, Chloe Hutton, Gerard Ridgway, et al.
Neuroimage|April 24, 2002
Image distortion correction in fMRI: A quantitative evaluationChloe Hutton, Andreas Bork, Oliver Josephs, et al.
Neuroimage|October 23, 2010
Unified segmentation based correction of R1 brain maps for RF transmit field inhomogeneities (UNICORT)Nikolaus Weiskopf, Antoine Lutti, Gunther Helms, et al.
Neuroimage. Clinical|December 21, 2016
Classification of amyloid status using machine learning with histograms of oriented 3D gradientsLiam Cattell, Günther Platsch, Richie Pfeiffer, et al.
Pageof 5

Showing results (11-20 of 43) with videos related to

Sort By:
Pageof 5
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 11, 2012
Improving visual perception through neurofeedbackFrank Scharnowski, Chloe Hutton, Oliver Josephs, et al.
Plos One|January 4, 2013
Modelling temporal stability of EPI time series using magnitude images acquired with multi-channel receiver coilsChloe Hutton, Evelyne Balteau, Antoine Lutti, et al.
Magma (New York, N.Y.)|February 3, 2007
Optimized EPI for fMRI studies of the orbitofrontal cortex: compensation of susceptibility-induced gradients in the readout directionNikolaus Weiskopf, Chloe Hutton, Oliver Josephs, et al.
Magnetic Resonance in Medicine|June 24, 2010
Optimization and validation of methods for mapping of the radiofrequency transmit field at 3TAntoine Lutti, Chloe Hutton, Jürgen Finsterbusch, et al.
Neuroimage|March 8, 2008
Voxel-based cortical thickness measurements in MRIChloe Hutton, Enrico De Vita, John Ashburner, et al.
Plos One|September 21, 2018
Validation of a standardized MRI method for liver fat and T2* quantificationChloe Hutton, Michael L Gyngell, Matteo Milanesi, et al.
Neuroimage|December 17, 2017
Real-time decoding of covert attention in higher-order visual areasJinendra Ekanayake, Chloe Hutton, Gerard Ridgway, et al.
Neuroimage|April 24, 2002
Image distortion correction in fMRI: A quantitative evaluationChloe Hutton, Andreas Bork, Oliver Josephs, et al.
Neuroimage|October 23, 2010
Unified segmentation based correction of R1 brain maps for RF transmit field inhomogeneities (UNICORT)Nikolaus Weiskopf, Antoine Lutti, Gunther Helms, et al.
Neuroimage. Clinical|December 21, 2016
Classification of amyloid status using machine learning with histograms of oriented 3D gradientsLiam Cattell, Günther Platsch, Richie Pfeiffer, et al.
Pageof 5