Gaëtan Desrues, Hervé Delingette, Maxime Sermesant. Towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformations. In Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li 0001, Alistair Young, Tommaso Mansi, Avan Suinesiaputra, editors, Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers. Volume 12009 of Lecture Notes in Computer Science, pages 100-108, Springer, 2019. [doi]
@inproceedings{DesruesDS19,
title = {Towards Hyper-Reduction of Cardiac Models Using Poly-affine Transformations},
author = {Gaëtan Desrues and Hervé Delingette and Maxime Sermesant},
year = {2019},
doi = {10.1007/978-3-030-39074-7_11},
url = {https://doi.org/10.1007/978-3-030-39074-7_11},
researchr = {https://researchr.org/publication/DesruesDS19},
cites = {0},
citedby = {0},
pages = {100-108},
booktitle = {Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers},
editor = {Mihaela Pop and Maxime Sermesant and Oscar Camara and Xiahai Zhuang and Shuo Li 0001 and Alistair Young and Tommaso Mansi and Avan Suinesiaputra},
volume = {12009},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-39074-7},
}