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

Fabrice Heitz

Showing results (11-20 of 24) with videos related to

Pageof 3
Sort By:
Journal of Neuroscience Methods|March 22, 2003
A robust statistics-based global energy function for the alignment of serially acquired autoradiographic sectionsChristophoros Nikou, Fabrice Heitz, Astrid Nehlig, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Statistical detection of longitudinal changes between apparent diffusion coefficient images: application to multiple sclerosisHervé Boisgontier, Vincent Noblet, Félix Renard, et al.
Frontiers in Cellular Neuroscience|March 29, 2014
Heritable and inducible gene knockdown in astrocytes or neurons in vivo by a combined lentiviral and RNAi approachFabrice Heitz, Torbjörn Johansson, Karsten Baumgärtel, et al.
Neuroimage|October 22, 2003
Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolutionMarcel Bosc, Fabrice Heitz, Jean Paul Armspach, et al.
IEEE Transactions on Medical Imaging|February 15, 2005
Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence modelsSylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, et al.
Neuroimage|June 1, 2016
Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors?Alix Bouchon, Vincent Noblet, Fabrice Heitz, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Change detection in diffusion MRI using multivariate statistical testing on tensorsAntoine Grigis, Vincent Noblet, Félix Renard, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Use of simulated atrophy for performance analysis of brain atrophy estimation approachesSwati Sharma, Vincent Noblet, François Rousseau, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 15, 2011
Longitudinal change detection: inference on the diffusion tensor along white-matter pathwaysAntoine Grigis, Vincent Noblet, Fréderic Blanc, et al.
Academic Radiology|February 5, 2005
Hidden Markov event sequence models: toward unsupervised functional MRI brain mappingSylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Journal of Neuroscience Methods|March 22, 2003
A robust statistics-based global energy function for the alignment of serially acquired autoradiographic sectionsChristophoros Nikou, Fabrice Heitz, Astrid Nehlig, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Statistical detection of longitudinal changes between apparent diffusion coefficient images: application to multiple sclerosisHervé Boisgontier, Vincent Noblet, Félix Renard, et al.
Frontiers in Cellular Neuroscience|March 29, 2014
Heritable and inducible gene knockdown in astrocytes or neurons in vivo by a combined lentiviral and RNAi approachFabrice Heitz, Torbjörn Johansson, Karsten Baumgärtel, et al.
Neuroimage|October 22, 2003
Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolutionMarcel Bosc, Fabrice Heitz, Jean Paul Armspach, et al.
IEEE Transactions on Medical Imaging|February 15, 2005
Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence modelsSylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, et al.
Neuroimage|June 1, 2016
Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors?Alix Bouchon, Vincent Noblet, Fabrice Heitz, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Change detection in diffusion MRI using multivariate statistical testing on tensorsAntoine Grigis, Vincent Noblet, Félix Renard, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
Use of simulated atrophy for performance analysis of brain atrophy estimation approachesSwati Sharma, Vincent Noblet, François Rousseau, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 15, 2011
Longitudinal change detection: inference on the diffusion tensor along white-matter pathwaysAntoine Grigis, Vincent Noblet, Fréderic Blanc, et al.
Academic Radiology|February 5, 2005
Hidden Markov event sequence models: toward unsupervised functional MRI brain mappingSylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, et al.
Pageof 3