Matthew L. Speltz

According to our database, Matthew L. Speltz authored at least 12 papers between 2005 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Automatic action unit detection in infants using convolutional neural network.

Zakia Hammal, Wen-Sheng Chu, Jeffrey F. Cohn, Carrie Heike, Matthew L. Speltz

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2015

Automatic Measurement of Head and Facial Movement for Analysis and Detection of Infants' Positive and Negative Affect.

Zakia Hammal, Jeffrey F. Cohn, Carrie Heike, Matthew L. Speltz

Frontiers ICT, 2015

What can head and facial movements convey about positive and negative affect?

Zakia Hammal, Jeffrey F. Cohn, Carrie Heike, Matthew L. Speltz

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014

Quantification of skull deformity for craniofacial research.

Irma Lam, Michael L. Cunningham, Craig Birgfeld, Matthew L. Speltz, Linda G. Shapiro

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Irma Lam, Michael L. Cunningham, Matthew L. Speltz, Linda G. Shapiro

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2012

Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models.

Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz, Craig Birgfeld, Indriyati Atmosukarto, Su-In Lee

Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2012

2011

Classification and feature selection for craniosynostosis.

Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz, Su-In Lee

Proceedings of the ACM International Conference on Bioinformatics, 2011

2009

Automatic 3D shape severity quantification and localization for deformational plagiocephaly.

Indriyati Atmosukarto, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Shape-Based Classification of 3D Head Data.

Linda G. Shapiro, Katarzyna Wilamowska, Indriyati Atmosukarto, Jia Wu, Carrie Heike, Matthew L. Speltz, Michael L. Cunningham

Proceedings of the Image Analysis and Processing, 2009

2006

Predicting Neuropsychological Development from Skull Imaging.

H. Jill Lin, Salvador Ruiz-Correa, Linda G. Shapiro, Matthew L. Speltz, Michael L. Cunningham, Raymond W. Sze

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities.

H. Jill Lin, Salvador Ruiz-Correa, Raymond W. Sze, Michael L. Cunningham, Matthew L. Speltz, Anne V. Hing, Linda G. Shapiro

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Classifying Craniosynostosis Deformations by Skull Shape Imaging.

Salvador Ruiz-Correa, Raymond W. Sze, H. Jill Lin, Linda G. Shapiro, Matthew L. Speltz, Michael L. Cunningham

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005