Jorge Corral Acero, Ernesto Zacur, Hao Xu, Rina Ariga, Alfonso Bueno-Orovio, Pablo Lamata, Vicente Grau. SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI. In Yves Coudière, Valéry Ozenne, Edward J. Vigmond, Nejib Zemzemi, editors, Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Bordeaux, France, June 6-8, 2019, Proceedings. Volume 11504 of Lecture Notes in Computer Science, pages 361-369, Springer, 2019. [doi]
@inproceedings{AceroZXABLG19,
title = {SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI},
author = {Jorge Corral Acero and Ernesto Zacur and Hao Xu and Rina Ariga and Alfonso Bueno-Orovio and Pablo Lamata and Vicente Grau},
year = {2019},
doi = {10.1007/978-3-030-21949-9_39},
url = {https://doi.org/10.1007/978-3-030-21949-9_39},
researchr = {https://researchr.org/publication/AceroZXABLG19},
cites = {0},
citedby = {0},
pages = {361-369},
booktitle = {Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Bordeaux, France, June 6-8, 2019, Proceedings},
editor = {Yves Coudière and Valéry Ozenne and Edward J. Vigmond and Nejib Zemzemi},
volume = {11504},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-21949-9},
}