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Baeumler, Kathrin
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1

Deep flow-net for EPI distortion estimation:

Zahneisen, Benjamin ; Baeumler, Kathrin ; Zaharchuk, Greg..
NeuroImage.  217 (2020)  - p. 116886 , 2020
Link: https://doi.org/10.1016/..
 
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2

Quantitative Hemodynamics in Aortic Dissection: Comparing i..:

Zimmermann, Judith ; Baeumler, Kathrin ; Loecher, Michael...
http://arxiv.org/abs/2102.13213.  , 2021
Link: http://arxiv.org/abs/210..
 
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3

Computed Tomography Imaging Features in Acute Uncomplicated..:

Sailer, Anna M ; van Kuijk, Sander M. J ; Nelemans, Patricia J...
Sailer , A M , van Kuijk , S M J , Nelemans , P J , Chin , A S , Kino , A , Huininga , M , Schmidt , J , Mistelbauer , G , Baeumler , K , Chiu , P , Fischbein , M P , Dake , M D , Miller , D C , Schurink , G W H & Fleischmann , D 2017 , ' Computed Tomography Imaging Features in Acute Uncomplicated Stanford Type-B Aortic Dissection Predict Late Adverse Events ' , Circulation-Cardiovascular Imaging , vol. 10 , no. 4 , 005709 . https://doi.org/10.1161/CIRCIMAGING.116.005709.  , 2017
Link: https://cris.maastrichtu..
 
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CT Imaging Features in Acute Uncomplicated Stanford Type-B ..:

Sailer, Anna M ; van Kuijk, Sander M.J ; Nelemans, Patricia J...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413355/.  , 2017
Link: http://www.ncbi.nlm.nih...
 
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5

Deep flow-net for EPI distortion estimation:

Benjamin Zahneisen ; Kathrin Baeumler ; Greg Zaharchuk..
http://www.sciencedirect.com/science/article/pii/S1053811920303724.  , 2020
Link: https://doi.org/10.1016/..
 
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