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Zeitschriftenartikel
Fay, Louisa 
ORCID: https://orcid.org/0009-0005-5071-5519; Hepp, Tobias; Winkelmann, Moritz T; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985; Heier, Margit; Niendorf, Thoralf ORCID: https://orcid.org/0000-0001-7584-6527; Pischon, Tobias; Endemann, Beate; Schulz-Menger, Jeanette ORCID: https://orcid.org/0000-0003-3100-1092; Krist, Lilian; Schulze, Matthias B; Mikolajczyk, Rafael ORCID: https://orcid.org/0000-0003-1271-7204; Wienke, Andreas; Obi, Nadia ORCID: https://orcid.org/0000-0002-0903-9142; Silenou, Bernard C; Lange, Berit; Kauczor, Hans-Ulrich; Lieb, Wolfgang; Baurecht, Hansjörg; Leitzmann, Michael; Trares, Kira; Brenner, Hermann; Michels, Karin B; Jaskulski, Stefanie; Völzke, Henry ORCID: https://orcid.org/0000-0001-7003-399X; Nikolaou, Konstantin; Schlett, Christopher L; Bamberg, Fabian ORCID: https://orcid.org/0000-0002-7460-3942; Lescan, Mario; Yang, Bin; Küstner, Thomas und Gatidis, Sergios
(2025):
Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.
In: European Heart Journal - Cardiovascular Imaging, Bd. 26, Nr. 5: S. 895-907
ORCID: https://orcid.org/0009-0005-5071-5519; Hepp, Tobias; Winkelmann, Moritz T; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985; Heier, Margit; Niendorf, Thoralf ORCID: https://orcid.org/0000-0001-7584-6527; Pischon, Tobias; Endemann, Beate; Schulz-Menger, Jeanette ORCID: https://orcid.org/0000-0003-3100-1092; Krist, Lilian; Schulze, Matthias B; Mikolajczyk, Rafael ORCID: https://orcid.org/0000-0003-1271-7204; Wienke, Andreas; Obi, Nadia ORCID: https://orcid.org/0000-0002-0903-9142; Silenou, Bernard C; Lange, Berit; Kauczor, Hans-Ulrich; Lieb, Wolfgang; Baurecht, Hansjörg; Leitzmann, Michael; Trares, Kira; Brenner, Hermann; Michels, Karin B; Jaskulski, Stefanie; Völzke, Henry ORCID: https://orcid.org/0000-0001-7003-399X; Nikolaou, Konstantin; Schlett, Christopher L; Bamberg, Fabian ORCID: https://orcid.org/0000-0002-7460-3942; Lescan, Mario; Yang, Bin; Küstner, Thomas und Gatidis, Sergios
(2025):
Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.
In: European Heart Journal - Cardiovascular Imaging, Bd. 26, Nr. 5: S. 895-907
Kainz, Viktoria; Böhm, Celine; Utz, Sonja und Ensslin, Torsten
(2022):
Information and Agreement in the Reputation Game Simulation.
In: Entropy, Bd. 24, Nr. 12, 1768