Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location-Reference-Cited by-同舟云学术

Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location

Published:2006 Issue:2 Volume:27 Page:99-113
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum. Brain Mapp.

Author:

Fennema-Notestine Christine,Ozyurt I. Burak,Clark Camellia P.,Morris Shaunna,Bischoff-Grethe Amanda,Bondi Mark W.,Jernigan Terry L.,Fischl Bruce,Segonne Florent,Shattuck David W.,Leahy Richard M.,Rex David E.,Toga Arthur W.,Zou Kelly H.,Brown Gregory G.,

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference26 articles.

1. Qualitative and Quantitative Evaluation of Six Algorithms for Correcting Intensity Nonuniformity Effects

2. Quantitative comparison of four brain extraction algorithms

3. AFNI: Software for Analysis and Visualization of Functional Magnetic Resonance Neuroimages

4. Cortical Surface-Based Analysis

5. Method for Quantification of Brain, Ventricular, and Subarachnoid CSF Volumes from MR Images

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