Mohammed S. M. ElBaz, Chris Malaisrie, Patrick McCarthy, Michael Markl 0001. Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI Quantification. 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 V. Volume 12905 of Lecture Notes in Computer Science, pages 215-224, Springer, 2021. [doi]
@inproceedings{ElBazMMM21,
title = {Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI Quantification},
author = {Mohammed S. M. ElBaz and Chris Malaisrie and Patrick McCarthy and Michael Markl 0001},
year = {2021},
doi = {10.1007/978-3-030-87240-3_21},
url = {https://doi.org/10.1007/978-3-030-87240-3_21},
researchr = {https://researchr.org/publication/ElBazMMM21},
cites = {0},
citedby = {0},
pages = {215-224},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V},
editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
volume = {12905},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-87240-3},
}