Myeong-Gee Kim, SeokHwan Oh, Youngmin Kim, Hyuksool Kwon, Hyeon-Min Bae. Learning-Based Attenuation Quantification in Abdominal Ultrasound. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII. Volume 12907 of Lecture Notes in Computer Science, pages 14-23, Springer, 2021. [doi]
@inproceedings{KimOKKB21,
title = {Learning-Based Attenuation Quantification in Abdominal Ultrasound},
author = {Myeong-Gee Kim and SeokHwan Oh and Youngmin Kim and Hyuksool Kwon and Hyeon-Min Bae},
year = {2021},
doi = {10.1007/978-3-030-87234-2_2},
url = {https://doi.org/10.1007/978-3-030-87234-2_2},
researchr = {https://researchr.org/publication/KimOKKB21},
cites = {0},
citedby = {0},
pages = {14-23},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII},
editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
volume = {12907},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-87234-2},
}