%0 Conference Paper %1 Niemann:CBMS2022 %A Niemann, Uli %A Neog, Atrayee %A Behrendt, Benjamin %A Lawonn, Kai %A Gutberlet, Matthias %A Spiliopoulou, Myra %A Preim, Bernhard %A Meuschke, Monique %B Proc. of Computer-Based Medical Systems (CBMS) %D 2022 %K kmd medical_mining vislab %P 416-421 %R 10.1109/CBMS55023.2022.00081 %T Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data %U https://doi.org/10.1109/CBMS55023.2022.00081

@inproceedings{Niemann:CBMS2022, added-at = {2022-07-27T12:31:25.000+0200}, author = {Niemann, Uli and Neog, Atrayee and Behrendt, Benjamin and Lawonn, Kai and Gutberlet, Matthias and Spiliopoulou, Myra and Preim, Bernhard and Meuschke, Monique}, biburl = {https://www.bibsonomy.org/bibtex/2e07181b8a04a39f636db883a8ffab086/kmd-ovgu}, booktitle = {Proc. of Computer-Based Medical Systems (CBMS)}, doi = {10.1109/CBMS55023.2022.00081}, groups = {Own publications}, interhash = {45132b453b0873eb47392a6509dcae85}, intrahash = {e07181b8a04a39f636db883a8ffab086}, keywords = {kmd medical_mining vislab}, pages = {416-421}, timestamp = {2022-11-10T17:14:51.000+0100}, title = {{Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data}}, url = {https://doi.org/10.1109/CBMS55023.2022.00081}, year = 2022 }