Bente Thamsen, Pavlo Yevtushenko, Lina Gundelwein, Hans Lamecker, Titus Kühne, Leonid Goubergrits. Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV. Volume 12264 of Lecture Notes in Computer Science, pages 776-785, Springer, 2020. [doi]
@inproceedings{ThamsenYGLKG20,
title = {Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta},
author = {Bente Thamsen and Pavlo Yevtushenko and Lina Gundelwein and Hans Lamecker and Titus Kühne and Leonid Goubergrits},
year = {2020},
doi = {10.1007/978-3-030-59719-1_75},
url = {https://doi.org/10.1007/978-3-030-59719-1_75},
researchr = {https://researchr.org/publication/ThamsenYGLKG20},
cites = {0},
citedby = {0},
pages = {776-785},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV},
editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
volume = {12264},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-59719-1},
}