Automatic detection of the fetal brain midsagittal plane on MRI using a deep learning pipeline
Authors:
- 7 April 2026
- journal article
- Published by Elsevier in American Journal of Obstetrics & Gynecology MFM
- Vol. 8 (7) , 101962
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Prenatal evaluation, diagnosis and management of fetal corpus callosal abnormalities: international Delphi consensusUltrasound in Obstetrics & Gynecology, 2025
- Corpus callosal reference ranges: systematic review of methodology of biometric chart construction and measurements obtainedUltrasound in Obstetrics & Gynecology, 2023
- ISUOG Practice Guidelines (updated): performance of fetal magnetic resonance imagingUltrasound in Obstetrics & Gynecology, 2023
- Rapid head‐pose detection for automated slice prescription of fetal‐brain MRIInternational Journal of Imaging Systems and Technology, 2021
- Normal human brainstem development in vivo: a quantitative fetal MRI studyUltrasound in Obstetrics & Gynecology, 2020
- Role of fetal MRI in the evaluation of isolated and non‐isolated corpus callosum dysgenesis: results of a cross‐sectional studyPrenatal Diagnosis, 2016
- Prevalence of prenatal brain abnormalities in fetuses with congenital heart disease: a systematic reviewUltrasound in Obstetrics & Gynecology, 2016
- Normative fetal brain growth by quantitative in vivo magnetic resonance imagingAmerican Journal of Obstetrics and Gynecology, 2012
- Intra‐ and interobserver variability in fetal ultrasound measurementsUltrasound in Obstetrics & Gynecology, 2011
- The value of fast MR imaging as an adjunct to ultrasound in prenatal diagnosisEuropean Radiology, 2003