Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier. Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model. In Andreas Maier 0001, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff, editors, Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024. Informatik Aktuell, pages 362, Springer, 2024. [doi]
@inproceedings{MaulZWTRPKBM24,
title = {Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model},
author = {Noah Maul and Katharina Zinn and Fabian Wagner and Mareike Thies and Maximilian Rohleder and Laura Pfaff and Markus Kowarschik and Annette Birkhold and Andreas K. Maier},
year = {2024},
doi = {10.1007/978-3-658-44037-4_92},
url = {https://doi.org/10.1007/978-3-658-44037-4_92},
researchr = {https://researchr.org/publication/MaulZWTRPKBM24},
cites = {0},
citedby = {0},
pages = {362},
booktitle = {Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024},
editor = {Andreas Maier 0001 and Thomas M. Deserno and Heinz Handels and Klaus H. Maier-Hein and Christoph Palm and Thomas Tolxdorff},
series = {Informatik Aktuell},
publisher = {Springer},
isbn = {978-3-658-44037-4},
}