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Journal Articles
- 2023
[j7]Karen Andrea Lara Hernandez, Theresa Rienmüller
, Ivan Alexander Juárez, Michaelle Alexander Perez Riz, Favio Reyna, Daniela Baumgartner, Vladimir N. Makarenko, Olga L. Bockeria, Musaffar F. Maksudov, Rainer Rienmüller, Christian Baumgartner:
Deep Learning-Based Image Registration in Dynamic Myocardial Perfusion CT Imaging. IEEE Trans. Medical Imaging 42(3): 684-696 (2023)- 2022
- [j6]Yasmine Heyer, Daniela Baumgartner, Christian Baumgartner:
A Systematic Review of the Transthoracic Impedance during Cardiac Defibrillation. Sensors 22(7): 2808 (2022) - 2021
- [j5]Karen Andrea Lara Hernandez, Theresa Rienmüller, Daniela Baumgartner, Christian Baumgartner:
Deep learning in spatiotemporal cardiac imaging: A review of methodologies and clinical usability. Comput. Biol. Medicine 130: 104200 (2021) - 2011
- [j4]Christian Baumgartner, Melanie Osl, Michael Netzer, Daniela Baumgartner:
Bioinformatic-driven search for metabolic biomarkers in disease. J. Clin. Bioinform. 1: 2 (2011) - 2006
- [j3]Christian Baumgartner, Gábor Mátyás, Beat Steinmann, Martin Eberle, Jörg I. Stein, Daniela Baumgartner:
A bioinformatics framework for genotype-phenotype correlation in humans with Marfan syndrome caused by FBN1 gene mutations. J. Biomed. Informatics 39(2): 171-183 (2006) - 2005
- [j2]Christian Baumgartner, Christian Böhm, Daniela Baumgartner:
Modelling of classification rules on metabolic patterns including machine learning and expert knowledge. J. Biomed. Informatics 38(2): 89-98 (2005) - 2004
- [j1]Christian Baumgartner, Christian Böhm, Daniela Baumgartner, G. Marini, Klaus Weinberger, B. Olgemöller, B. Liebl, A. A. Roscher:
Supervised machine learning techniques for the classification of metabolic disorders in newborns. Bioinform. 20(17): 2985-2996 (2004)
Coauthor Index
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