3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks-Reference-Cited by-同舟云学术

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks

Published:2018 Issue: Volume: Page:383-391
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
language:
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Author:

Cerrolaza Juan J.,Li Yuanwei,Biffi Carlo,Gomez Alberto,Sinclair Matthew,Matthew Jacqueline,Knight Caronline,Kainz Bernhard,Rueckert Daniel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00928-1_44

Reference13 articles.

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2. Baumgartner, C., et al.: Sononet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound. IEEE TMI 36, 2204–2215 (2017)

3. Lima, J., et al.: Biometry and fetal weight estimation by two-dimensional and three-dimensional ultrasonography: an intraobserver and interobserver reliability and agreement study. Ultrasound Obstet. Gynecol. 40, 186–93 (2012)

4. Matthew, J., et al. Novel 3D ultrasound-based metric to assess the fetal skull: a pilot study. In: BMUS Annual Meeting (2017)

5. Lee, S., et al.: Prenatal three-dimensional ultrasound: perception of sonographers, sonologists and undergraduate students. Ultrasound Obstet. Gynecol. 1(30), 77–80 (2007)

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