Pierre Cettour-Janet, Gilles Valette, Laurent Lucas, Hélène Meunier, Gauthier Loron, Nathalie Bednarek, François Rousseau 0002, Nicolas Passat. Hierarchical Approach for Neonate Cerebellum Segmentation from MRI: An Experimental Study. In Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret, editors, Mathematical Morphology and Its Applications to Signal and Image Processing - 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings. Volume 11564 of Lecture Notes in Computer Science, pages 483-495, Springer, 2019. [doi]
@inproceedings{Cettour-JanetVL19,
title = {Hierarchical Approach for Neonate Cerebellum Segmentation from MRI: An Experimental Study},
author = {Pierre Cettour-Janet and Gilles Valette and Laurent Lucas and Hélène Meunier and Gauthier Loron and Nathalie Bednarek and François Rousseau 0002 and Nicolas Passat},
year = {2019},
doi = {10.1007/978-3-030-20867-7_37},
url = {https://doi.org/10.1007/978-3-030-20867-7_37},
researchr = {https://researchr.org/publication/Cettour-JanetVL19},
cites = {0},
citedby = {0},
pages = {483-495},
booktitle = {Mathematical Morphology and Its Applications to Signal and Image Processing - 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings},
editor = {Bernhard Burgeth and Andreas Kleefeld and Benoît Naegel and Nicolas Passat and Benjamin Perret},
volume = {11564},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-20867-7},
}