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Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities.

H. Lin, S. Ruiz-Correa, R. Sze, M. Cunningham, M. Speltz, A. Hing, and L. Shapiro. CVBIA, volume 3765 of Lecture Notes in Computer Science, page 302-313. Springer, (2005)

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Matthew Mellon

Matthew David

Matthew Smith

Olumuyiwa Matthew

Peter Matthew

Other publications of authors with the same name

Quantification of skull deformity for craniofacial research.I. Lam, M. Cunningham, C. Birgfeld, M. Speltz, and L. Shapiro. EMBC, page 758-761. IEEE, (2014)Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities.H. Lin, S. Ruiz-Correa, R. Sze, M. Cunningham, M. Speltz, A. Hing, and L. Shapiro. CVBIA, volume 3765 of Lecture Notes in Computer Science, page 302-313. Springer, (2005)Classification and feature selection for craniosynostosis.S. Yang, L. Shapiro, M. Cunningham, M. Speltz, and S. Lee. BCB, page 340-344. ACM, (2011)Predicting Neuropsychological Development from Skull Imaging.H. Lin, S. Ruiz-Correa, L. Shapiro, M. Speltz, M. Cunningham, and R. Sze. EMBC, page 3450-3455. IEEE, (2006)Classifying Craniosynostosis with a 3D Projection-Based Feature Extraction System.I. Lam, M. Cunningham, M. Speltz, and L. Shapiro. CBMS, page 215-220. IEEE Computer Society, (2014)Automatic 3D shape severity quantification and localization for deformational plagiocephaly.I. Atmosukarto, L. Shapiro, M. Cunningham, and M. Speltz. Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 725952. SPIE, (2009)What can head and facial movements convey about positive and negative affect?Z. Hammal, J. Cohn, C. Heike, and M. Speltz. ACII, page 281-287. IEEE Computer Society, (2015)Classifying Craniosynostosis Deformations by Skull Shape Imaging.S. Ruiz-Correa, R. Sze, H. Lin, L. Shapiro, M. Speltz, and M. Cunningham. CBMS, page 335-340. IEEE Computer Society, (2005)Automatic Measurement of Head and Facial Movement for Analysis and Detection of Infants' Positive and Negative Affect.Z. Hammal, J. Cohn, C. Heike, and M. Speltz. Frontiers ICT, (2015)Automatic action unit detection in infants using convolutional neural network.Z. Hammal, W. Chu, J. Cohn, C. Heike, and M. Speltz. ACII, page 216-221. IEEE Computer Society, (2017)

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Disambiguation of "Speltz, Matthew L."

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Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities.

Please choose a person to relate this publication to

Matthew Mellon

Matthew David

Matthew Smith

Olumuyiwa Matthew

Peter Matthew

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Speltz, Matthew L."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities.

Please choose a person to relate this publication to

Matthew Mellon

Matthew David

Matthew Smith

Olumuyiwa Matthew

Peter Matthew

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities.