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A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies.

, , , , , , и . NeuroImage, (2020)

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Necmi Güray

Duvid Erusalimski

 

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Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth., , , , , , , , , и 5 other автор(ы). NeuroImage, (2013)Feature ranking based nested support vector machine ensemble for medical image classification., , , , и . ISBI, стр. 146-149. IEEE, (2012)Learning high-dimensional image statistics for abnormality detection on medical images., , , и . CVPR Workshops, стр. 139-145. IEEE Computer Society, (2010)A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies., , , , , , и . NeuroImage, (2020)Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering., , , , , , , , , и 18 other автор(ы). CoRR, (2023)Brain abnormality segmentation based on l1-norm minimization., , , и . Medical Imaging: Image Processing, том 9034 из SPIE Proceedings, стр. 903409. SPIE, (2014)Apprentissage automatique des modèles structurels d'objets cartographiques., и . EGC (Ateliers), том E-5 из RNTI, стр. 349-354. Cépaduès-Éditions, (2005)Automated segmentation of brain lesions by combining intensity and spatial information., , , и . ISBI, стр. 93-96. IEEE, (2010)Automated segmentation of cortical necrosis using awavelet based abnormality detection system., , , , , , и . ISBI, стр. 1391-1395. IEEE, (2011)Classification of Structural Cartographic Objects Using Edge-Based Features., и . ISVC (1), том 4841 из Lecture Notes in Computer Science, стр. 385-392. Springer, (2007)