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

Igor Yanovsky

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|November 21, 2017
Asymmetric and Symmetric Unbiased Image Registration: Statistical Assessment of PerformanceIgor Yanovsky, Paul M Thompson, Stanley Osher, et al.
Medical Image Analysis|July 28, 2009
Comparing registration methods for mapping brain change using tensor-based morphometryIgor Yanovsky, Alex D Leow, Suh Lee, et al.
Computer Methods and Programs in Biomedicine|December 17, 2010
CUDA optimization strategies for compute- and memory-bound neuroimaging algorithmsDaren Lee, Ivo Dinov, Bin Dong, et al.
Neurobiology of Aging|September 28, 2014
Empowering imaging biomarkers of Alzheimer's diseaseBoris A Gutman, Yalin Wang, Igor Yanovsky, et al.
Neuroimage|January 9, 2013
Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface featuresBoris A Gutman, Xue Hua, Priya Rajagopalan, et al.
Journal of Alzheimer'S Disease : JAD|November 25, 2010
Apolipoprotein E genotype is associated with temporal and hippocampal atrophy rates in healthy elderly adults: a tensor-based morphometry studyPo H Lu, Paul M Thompson, Alex Leow, et al.
IEEE Transactions on Medical Imaging|August 8, 2007
Statistical properties of Jacobian maps and the realization of unbiased large-deformation nonlinear image registrationAlex D Leow, Igor Yanovsky, Ming-Chang Chiang, et al.
Neuroimage|February 16, 2011
Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometryXue Hua, Boris Gutman, Christina P Boyle, et al.
Neuroimage|February 9, 2010
Mapping Alzheimer's disease progression in 1309 MRI scans: power estimates for different inter-scan intervalsXue Hua, Suh Lee, Derrek P Hibar, et al.
Neuroimage|July 21, 2009
Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjectsXue Hua, Suh Lee, Igor Yanovsky, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|November 21, 2017
Asymmetric and Symmetric Unbiased Image Registration: Statistical Assessment of PerformanceIgor Yanovsky, Paul M Thompson, Stanley Osher, et al.
Medical Image Analysis|July 28, 2009
Comparing registration methods for mapping brain change using tensor-based morphometryIgor Yanovsky, Alex D Leow, Suh Lee, et al.
Computer Methods and Programs in Biomedicine|December 17, 2010
CUDA optimization strategies for compute- and memory-bound neuroimaging algorithmsDaren Lee, Ivo Dinov, Bin Dong, et al.
Neurobiology of Aging|September 28, 2014
Empowering imaging biomarkers of Alzheimer's diseaseBoris A Gutman, Yalin Wang, Igor Yanovsky, et al.
Neuroimage|January 9, 2013
Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface featuresBoris A Gutman, Xue Hua, Priya Rajagopalan, et al.
Journal of Alzheimer'S Disease : JAD|November 25, 2010
Apolipoprotein E genotype is associated with temporal and hippocampal atrophy rates in healthy elderly adults: a tensor-based morphometry studyPo H Lu, Paul M Thompson, Alex Leow, et al.
IEEE Transactions on Medical Imaging|August 8, 2007
Statistical properties of Jacobian maps and the realization of unbiased large-deformation nonlinear image registrationAlex D Leow, Igor Yanovsky, Ming-Chang Chiang, et al.
Neuroimage|February 16, 2011
Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometryXue Hua, Boris Gutman, Christina P Boyle, et al.
Neuroimage|February 9, 2010
Mapping Alzheimer's disease progression in 1309 MRI scans: power estimates for different inter-scan intervalsXue Hua, Suh Lee, Derrek P Hibar, et al.
Neuroimage|July 21, 2009
Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjectsXue Hua, Suh Lee, Igor Yanovsky, et al.
Pageof 2