OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI-Reference-Cited by-同舟云学术

OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI

Published:2013 Issue: Volume:2 Page:402-413
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Sweeney Elizabeth M.,Shinohara Russell T.,Shiee Navid,Mateen Farrah J.,Chudgar Avni A.,Cuzzocreo Jennifer L.,Calabresi Peter A.,Pham Dzung L.,Reich Daniel S.,Crainiceanu Ciprian M.

Funder

Intramural Research Program of NINDS

NINDS R01 NS070906

NINDS R01 NS060910

NIBIB R01 EB012547

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging

Reference43 articles.

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3. Probabilistic segmentation of brain tissue inMR imaging;Anbeek;NeuroImage,2005

4. Automated MS-lesion segmentation by k-nearest neighbor classification;Anbeek,2008

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