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Classifying Craniosynostosis with a 3D Projection-Based Feature Extraction System.

, , , and . CBMS, page 215-220. IEEE Computer Society, (2014)

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Quantification of skull deformity for craniofacial research., , , , and . EMBC, page 758-761. IEEE, (2014)Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities., , , , , , and . CVBIA, volume 3765 of Lecture Notes in Computer Science, page 302-313. Springer, (2005)Classification and feature selection for craniosynostosis., , , , and . BCB, page 340-344. ACM, (2011)Predicting Neuropsychological Development from Skull Imaging., , , , , and . EMBC, page 3450-3455. IEEE, (2006)Classifying Craniosynostosis with a 3D Projection-Based Feature Extraction System., , , and . CBMS, page 215-220. IEEE Computer Society, (2014)What can head and facial movements convey about positive and negative affect?, , , and . ACII, page 281-287. IEEE Computer Society, (2015)Automatic 3D shape severity quantification and localization for deformational plagiocephaly., , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 725952. SPIE, (2009)Classifying Craniosynostosis Deformations by Skull Shape Imaging., , , , , and . CBMS, page 335-340. IEEE Computer Society, (2005)Automatic action unit detection in infants using convolutional neural network., , , , and . ACII, page 216-221. IEEE Computer Society, (2017)Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models., , , , , , and . MCBR-CDS, volume 7723 of Lecture Notes in Computer Science, page 33-44. Springer, (2012)