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Is It Possible to Differentiate the Impact of Pediatric Monophasic Demyelinating Disorders and Multiple Sclerosis After a First Episode of Demyelination?, , , , , , and . STIA, volume 8682 of Lecture Notes in Computer Science, page 38-48. Springer, (2014)Unbiased age-specific structural brain atlases for Chinese pediatric population., , , , , , , , , and 3 other author(s). NeuroImage, (2019)Improved Precision in the Measurement of Longitudinal Global and Regional Volumetric Changes via a Novel MRI Gradient Distortion Characterization and Correction Technique., , , , , , and . MIAR, volume 6326 of Lecture Notes in Computer Science, page 324-333. Springer, (2010)Towards Automatic Collateral Circulation Score Evaluation in Ischemic Stroke Using Image Decompositions and Support Vector Machines., , , , , , , and . CMMI/RAMBO/SWITCH@MICCAI, volume 10555 of Lecture Notes in Computer Science, page 158-167. Springer, (2017)Human Brain Myelination from Birth to 4.5 Years., , , , and . MICCAI (2), volume 5242 of Lecture Notes in Computer Science, page 180-187. Springer, (2008)Atlas-Guided Transcranial Doppler Ultrasound Examination with a Neuro-Surgical Navigation System: Case Study., , , , , , , , , and . CLIP@MICCAI, volume 9401 of Lecture Notes in Computer Science, page 19-27. Springer, (2015)Unbiased average age-appropriate atlases for pediatric studies., , , , , and . NeuroImage, 54 (1): 313-327 (2011)The effect of template choice on morphometric analysis of pediatric brain data., , , , and . NeuroImage, 45 (3): 769-777 (2009)Gradient distortions in MRI: Characterizing and correcting for their effects on SIENA-generated measures of brain volume change., , , , , , and . NeuroImage, 49 (2): 1601-1611 (2010)Atlas-based clustering of sulcal patterns - Application to the left inferior frontal sulcus., , , and . ISBI, page 426-429. IEEE, (2012)