Zhanqiang Guo, Yifan Zhang, Jianjiang Feng, Eddy Yang, Lan Qin, Jie Zhou. Coronary Artery Centerline Refinement Using GCN Trained with Synthetic Data. In Esther Puyol-Antón, Mihaela Pop, Carlos Martín-Isla, Maxime Sermesant, Avan Suinesiaputra, Oscar Camara, Karim Lekadir, Alistair Young, editors, Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM@MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers. Volume 13131 of Lecture Notes in Computer Science, pages 21-28, Springer, 2021. [doi]
@inproceedings{GuoZFYQZ21,
title = {Coronary Artery Centerline Refinement Using GCN Trained with Synthetic Data},
author = {Zhanqiang Guo and Yifan Zhang and Jianjiang Feng and Eddy Yang and Lan Qin and Jie Zhou},
year = {2021},
doi = {10.1007/978-3-030-93722-5_3},
url = {https://doi.org/10.1007/978-3-030-93722-5_3},
researchr = {https://researchr.org/publication/GuoZFYQZ21},
cites = {0},
citedby = {0},
pages = {21-28},
booktitle = {Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM@MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers},
editor = {Esther Puyol-Antón and Mihaela Pop and Carlos Martín-Isla and Maxime Sermesant and Avan Suinesiaputra and Oscar Camara and Karim Lekadir and Alistair Young},
volume = {13131},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-93722-5},
}