Inproceedings,
Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.
V. Vosylius, A. Wang, C. Waters, A. Zakharov, F. Ward, L. Folgoc, J. Cupitt, A. Makropoulos, A. Schuh, D. Rueckert, and A. Alansary.UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 174-186. Springer, (2020)
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- conf/miccai/VosyliusWWZWFCM20
- entry type
- inproceedings
- booktitle
- UNSURE/GRAIL@MICCAI
- year
- 2020
- pages
- 174-186
- publisher
- Springer
- series
- Lecture Notes in Computer Science
- volume
- 12443
- crossref
- conf/miccai/2020unsure
- ee
- https://doi.org/10.1007/978-3-030-60365-6_17
- isbn
- 978-3-030-60365-6
- url
- http://dblp.uni-trier.de/db/conf/miccai/unsure2020.html#VosyliusWWZWFCM20
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%1 conf/miccai/VosyliusWWZWFCM20
%A Vosylius, Vitalis
%A Wang, Andy
%A Waters, Cemlyn
%A Zakharov, Alexey
%A Ward, Francis
%A Folgoc, Loïc Le
%A Cupitt, John
%A Makropoulos, Antonios
%A Schuh, Andreas
%A Rueckert, Daniel
%A Alansary, Amir
%B UNSURE/GRAIL@MICCAI
%D 2020
%E Sudre, Carole H.
%E Fehri, Hamid
%E Arbel, Tal
%E Baumgartner, Christian F.
%E Dalca, Adrian V.
%E Tanno, Ryutaro
%E Leemput, Koen Van
%E III, William M. Wells
%E Sotiras, Aristeidis
%E Papiez, Bartlomiej W.
%E Ferrante, Enzo
%E Parisot, Sarah
%I Springer
%K dblp
%P 174-186
%T Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.
%U http://dblp.uni-trier.de/db/conf/miccai/unsure2020.html#VosyliusWWZWFCM20
%V 12443
%@ 978-3-030-60365-6
@inproceedings{conf/miccai/VosyliusWWZWFCM20,
added-at = {2023-03-21T00:00:00.000+0100},
author = {Vosylius, Vitalis and Wang, Andy and Waters, Cemlyn and Zakharov, Alexey and Ward, Francis and Folgoc, Loïc Le and Cupitt, John and Makropoulos, Antonios and Schuh, Andreas and Rueckert, Daniel and Alansary, Amir},
biburl = {https://www.bibsonomy.org/bibtex/2bafac4b6d481e8b24e9a5dc90597a2d0/dblp},
booktitle = {UNSURE/GRAIL@MICCAI},
crossref = {conf/miccai/2020unsure},
editor = {Sudre, Carole H. and Fehri, Hamid and Arbel, Tal and Baumgartner, Christian F. and Dalca, Adrian V. and Tanno, Ryutaro and Leemput, Koen Van and III, William M. Wells and Sotiras, Aristeidis and Papiez, Bartlomiej W. and Ferrante, Enzo and Parisot, Sarah},
ee = {https://doi.org/10.1007/978-3-030-60365-6_17},
interhash = {63a144ab128ea94488f8260c7687dab1},
intrahash = {bafac4b6d481e8b24e9a5dc90597a2d0},
isbn = {978-3-030-60365-6},
keywords = {dblp},
pages = {174-186},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T22:26:11.000+0200},
title = {Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.},
url = {http://dblp.uni-trier.de/db/conf/miccai/unsure2020.html#VosyliusWWZWFCM20},
volume = 12443,
year = 2020
}