Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging-Reference-Cited by-同舟云学术

Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging

Author:

Dadar Mahsa¹^ORCID,Maranzano Josefina²,Ducharme Simon²,Carmichael Owen T.³^ORCID,Decarli Charles⁴,Collins D. Louis¹,

Affiliation:

1. NeuroImaging and Surgical Tools Laboratory; Montreal Neurological Institute, McGill University; Montreal Quebec Canada

2. Montreal Neurological Institute, McGill University; Montreal Quebec Canada

3. Pennington Biomedical Research Center; Baton Rouge Louisiana

4. University of California; Davis California

Funder

Famille Louise & André Charron

Canadian Institutes of Health Research

les Fonds de Research Santé Québec Pfizer Innovation Fund

NSERC

Levesque Foundation

Government of Canada

Canada Foundation for Innovation

NIH

Dana Foundation

ADNI

DOD ADNI (Department of Defense)

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

Reference41 articles.

5. Animal: Validation and applications of nonlinear registration-based segmentation;Collins;International Journal of Pattern Recognition and Artificial Intelligence,1997

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