Use of fetal magnetic resonance image analysis and machine learning to predict the need for postnatal cerebrospinal fluid diversion in fetal ventriculomegaly

Jared M. Pisapia, Hamed Akbari, Martin Rozycki, Hannah Goldstein, Spyridon Bakas, Saima Rathore, Julie S. Moldenhauer, Phillip B. Storm, Deborah M. Zarnow, Richard C.E. Anderson, Gregory G. Heuer, Christos Davatzikos

Research output: Contribution to journalArticle

Original languageEnglish (US)
Pages (from-to)128-135
Number of pages8
JournalJAMA Pediatrics
Volume172
Issue number2
DOIs
StatePublished - Feb 1 2018

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health

Cite this

Pisapia, J. M., Akbari, H., Rozycki, M., Goldstein, H., Bakas, S., Rathore, S., Moldenhauer, J. S., Storm, P. B., Zarnow, D. M., Anderson, R. C. E., Heuer, G. G., & Davatzikos, C. (2018). Use of fetal magnetic resonance image analysis and machine learning to predict the need for postnatal cerebrospinal fluid diversion in fetal ventriculomegaly. JAMA Pediatrics, 172(2), 128-135. https://doi.org/10.1001/jamapediatrics.2017.3993