Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI-Reference-Cited by-同舟云学术

Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI

Published:2021 Issue: Volume: Page:263-273
ISSN:0302-9743
Container-title:Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis
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Author:

Fidon Lucas,Aertsen Michael,Mufti Nada,Deprest Thomas,Emam Doaa,Guffens Frédéric,Schwartz Ernst,Ebner Michael,Prayer Daniela,Kasprian Gregor,David Anna L.,Melbourne Andrew,Ourselin Sébastien,Deprest Jan,Langs Georg,Vercauteren Tom

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87735-4_25

Reference22 articles.

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2. Benkarim, O.M., et al.: Toward the automatic quantification of in utero brain development in 3D structural MRI: a review. Hum. Brain Mapp. 38(5), 2772–2787 (2017)

3. Chernoff, H., et al.: A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations. Ann. Math. Stat. 23(4), 493–507 (1952)

4. Danzer, E., Joyeux, L., Flake, A.W., Deprest, J.: Fetal surgical intervention for myelomeningocele: lessons learned, outcomes, and future implications. Dev. Medi. Child Neurol. 62(4), 417–425 (2020)

5. Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945)

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