Neonatal brain tissue classification with morphological adaptation and unified segmentation

Authors

Richard J. Beare, Monash University
Jian Chen, Monash University
Claire E. Kelly, The Royal Children's Hospital
Dimitrios Alexopoulos, Washington University School of Medicine in St. Louis
Chistopher D. Smyser, Washington University School of Medicine in St. Louis
Cynthia E. Rogers, Washington University School of Medicine in St. Louis
Wai Y. Loh, The Royal Children's Hospital
Lillian G. Matthews, University of Melbourne
Jeanie L.Y. Cheong, University of Melbourne
Alicia J. Spittle, University of Melbourne
Peter J. Anderson, University of Melbourne
Lex W. Doyle, University of Melbourne
Terrie E. Inder, Harvard University
Marc L. Seal, University of Melbourne
Deanne K. Thompson, University of Melbourne

Journal

Frontiers of Neuroinformatics

Publication Date

2016

Volume

10

Inclusive Pages

12

Document Type

Open Access Publication

DOI

10.3389/fninf.2016.00012

Rights and Permissions

Beare RJ, Chen J, Kelly CE, Alexopoulos D, Smyser CD, Rogers CE, Loh WY, Matthews LG, Cheong JLY, Spittle AJ, Anderson PJ, Doyle LW, Inder TE, Seal ML and Thompson DK (2016) Neonatal Brain Tissue Classification with Morphological Adaptation and Unified Segmentation. Front. Neuroinform. 10:12. doi: 10.3389/fninf.2016.00012

Recommended Citation

Beare, Richard J.; Chen, Jian; Kelly, Claire E.; Alexopoulos, Dimitrios; Smyser, Chistopher D.; Rogers, Cynthia E.; Loh, Wai Y.; Matthews, Lillian G.; Cheong, Jeanie L.Y.; Spittle, Alicia J.; Anderson, Peter J.; Doyle, Lex W.; Inder, Terrie E.; Seal, Marc L.; and Thompson, Deanne K., "Neonatal brain tissue classification with morphological adaptation and unified segmentation." Frontiers of Neuroinformatics. 10, 12. (2016).
https://digitalcommons.wustl.edu/open_access_pubs/4818