Machine learning in prenatal MRI predicts postnatal ventricular abnormalities in fetuses with isolated ventriculomegaly
Author:
Funder
the key program of Jiangsu Commission of Health
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00330-024-10785-6.pdf
Reference30 articles.
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2. Pilu G, Hobbins JC (2002) Sonography of fetal cerebrospinal anomalies. Prenat Diagn 22:321–330. https://doi.org/10.1002/pd.310
3. Salomon LJ, Garel C (2007) Magnetic resonance imaging examination of the fetal brain. Ultrasound Obstet Gynecol 30:1019–1032. https://doi.org/10.1002/uog.5176
4. Tarui T, Madan N, Graham G et al (2023) Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly. Neuroimage Clin 37:103357. https://doi.org/10.1016/j.nicl.2023.103357
5. Li QM, Liao HZ, Wang WB et al (2021) Prognostic analysis and risk factors associated with fetal ventriculomegaly. Pediatr Neurosurg 56:407–415. https://doi.org/10.1159/000516378
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