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Alex D Leow

Showing results (51-60 of 64) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|July 1, 2024
Using a Novel Digital Go/No-Go to Dissociate Intra-subject Temporal Fluctuations in Reaction Time and AccuracyTheresa M Nguyen, Mindy K Ross, Emma Ning, et al.
Human Brain Mapping|October 10, 2017
Baseline connectome modular abnormalities in the childhood phase of a longitudinal study on individuals with chromosome 22q11.2 deletion syndromeLiang Zhan, Lisanne M Jenkins, Aifeng Zhang, et al.
Cognitive Computation|April 6, 2026
Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood DisordersMindy K Ross, Theja Tulabandhula, Theresa M Nguyen, 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.
Dementia and Geriatric Cognitive Disorders|January 12, 2013
Patterns of brain atrophy in clinical variants of frontotemporal lobar degenerationPo H Lu, Mario F Mendez, Grace J Lee, et al.
Neuroimage|February 23, 2010
Voxelwise genome-wide association study (vGWAS)Jason L Stein, Xue Hua, Suh Lee, et al.
Human Brain Mapping|September 26, 2009
Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometryApril J Ho, Xue Hua, Suh Lee, et al.
Neuroimage|March 13, 2009
Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognitionAlex D Leow, Igor Yanovsky, Neelroop Parikshak, et al.
Pageof 7

Showing results (51-60 of 64) with videos related to

Sort By:
Pageof 7
Medrxiv : the Preprint Server for Health Sciences|July 1, 2024
Using a Novel Digital Go/No-Go to Dissociate Intra-subject Temporal Fluctuations in Reaction Time and AccuracyTheresa M Nguyen, Mindy K Ross, Emma Ning, et al.
Human Brain Mapping|October 10, 2017
Baseline connectome modular abnormalities in the childhood phase of a longitudinal study on individuals with chromosome 22q11.2 deletion syndromeLiang Zhan, Lisanne M Jenkins, Aifeng Zhang, et al.
Cognitive Computation|April 6, 2026
Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood DisordersMindy K Ross, Theja Tulabandhula, Theresa M Nguyen, 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.
Dementia and Geriatric Cognitive Disorders|January 12, 2013
Patterns of brain atrophy in clinical variants of frontotemporal lobar degenerationPo H Lu, Mario F Mendez, Grace J Lee, et al.
Neuroimage|February 23, 2010
Voxelwise genome-wide association study (vGWAS)Jason L Stein, Xue Hua, Suh Lee, et al.
Human Brain Mapping|September 26, 2009
Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometryApril J Ho, Xue Hua, Suh Lee, et al.
Neuroimage|March 13, 2009
Alzheimer's disease neuroimaging initiative: a one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognitionAlex D Leow, Igor Yanovsky, Neelroop Parikshak, et al.
Pageof 7