Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang. Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. In Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos, editors, Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Volume 11037 of Lecture Notes in Computer Science, pages 100-110, Springer, 2018. [doi]
@inproceedings{JungLJJC18,
title = {Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images},
author = {Sunghee Jung and Soochahn Lee and Byunghwan Jeon and Yeonggul Jang and Hyuk-Jae Chang},
year = {2018},
doi = {10.1007/978-3-030-00536-8_11},
url = {https://doi.org/10.1007/978-3-030-00536-8_11},
researchr = {https://researchr.org/publication/JungLJJC18},
cites = {0},
citedby = {0},
pages = {100-110},
booktitle = {Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings},
editor = {Ali Gooya and Orcun Goksel and Ipek Oguz and Ninon Burgos},
volume = {11037},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-00536-8},
}