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Elisabeth Preuhs (née: Hoppe)
Elisabeth Preuhs (née: Hoppe)
Siemens Healthineers
Bestätigte E-Mail-Adresse bei siemens-healthineers.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.
E Hoppe, G Körzdörfer, T Würfl, J Wetzl, F Lugauer, J Pfeuffer, AK Maier
GMDS 243, 202-206, 2017
862017
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks.
E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ...
GMDS, 126-133, 2019
152019
Accurate fatty acid composition estimation of adipose tissue in the abdomen based on bipolar multi‐echo MRI
M Schneider, G Janas, F Lugauer, E Hoppe, D Nickel, BM Dale, B Kiefer, ...
Magnetic Resonance in Medicine 81 (4), 2330-2346, 2019
152019
Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps
E Hoppe, G Körzdörfer, M Nittka, T Würfl, J Wetzl, F Lugauer, M Schneider
14*
RinQ fingerprinting: recurrence-informed quantile networks for magnetic resonance fingerprinting
E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
132019
Maximum likelihood estimation of head motion using epipolar consistency
A Preuhs, N Ravikumar, M Manhart, B Stimpel, E Hoppe, C Syben, ...
Bildverarbeitung für die Medizin 2019, 134-139, 2019
132019
Symmetry prior for epipolar consistency
A Preuhs, A Maier, M Manhart, M Kowarschik, E Hoppe, J Fotouhi, ...
International journal of computer assisted radiology and surgery 14 (9 …, 2019
82019
Appearance learning for image-based motion estimation in tomography
A Preuhs, M Manhart, P Roser, E Hoppe, Y Huang, M Psychogios, ...
IEEE Transactions on Medical Imaging 39 (11), 3667-3678, 2020
72020
Method, neural network, and magnetic resonance apparatus for assigning magnetic resonance fingerprints
E Hoppe, A Maier, J Pfeuffer
US Patent 10,698,055, 2020
62020
Free-breathing, self-navigated and dynamic 3-D multi-contrast cardiac cine imaging using cartesian sampling and compressed sensing
E Hoppe, J Wetzl, C Forman, G Körzdörfer, M Schneider, P Speier, ...
Proc ISMRM, 2019
62019
X-Ray Scatter Estimation Using Deep Splines
P Roser, A Birkhold, A Preuhs, C Syben, L Felsner, E Hoppe, N Strobel, ...
IEEE Transactions on Medical Imaging 40 (9), 2272-2283, 2021
52021
Simultaneous estimation of X-ray back-scatter and forward-scatter using multi-task learning
P Roser, X Zhong, A Birkhold, A Preuhs, C Syben, E Hoppe, N Strobel, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
52020
DeepECG: towards 3-D continuous cardiac mri without ecg-gating-deep learning-based r-wave classification for automated cardiac phase binning
E Hoppe, J Wetzl, S Yoon, M Schneider, B Stimpel, A Preuhs, A Maier
Proc Int Soc Magn Reson Med Sci Meet Exhib, 2129, 2020
52020
2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging
E Hoppe, J Wetzl, P Roser, L Felsner, A Preuhs, A Maier
Bildverarbeitung für die Medizin 2021, 158-163, 2021
42021
Motion gradients for epipolar consistency
A Preuhs, M Manhart, E Hoppe, M Kowarschik, A Maier
15th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2019
42019
Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging
E Hoppe, J Wetzl, SS Yoon, M Bacher, P Roser, B Stimpel, A Preuhs, ...
IEEE Transactions on Medical Imaging 40 (8), 2105-2117, 2021
32021
RinQ Fingerprinting
E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ...
Bildverarbeitung für die Medizin 2020, 184-184, 2020
32020
Fat content and fatty acid composition quantification using a 3D Stack‐of‐radial trajectory with adaptive gradient calibration
M Schneider, F Lugauer, E Hoppe, D Nickel, BM Dale, B Kiefer, A Maier, ...
Proceedings of the 26th Annual Meeting of ISMRM, Paris, France 2773, 2018
32018
Automatic cardiac resting phase detection for static cardiac imaging using deep neural networks
SS Yoon, E Hoppe, M Schmidt, C Forman, P Sharma, C Tillmanns, ...
Proc. 27th Annu. Joint Annu. Meeting ISMRM-ESMRMB, 2019
22019
Gradient-Delay-Compensated Radial MRI for Fat Content and Fatty Acid Composition Quantification
M Schneider, F Lugauer, E Hoppe, D Nickel, BM Dale, B Kiefer, A Maier, ...
Proceedings of the ISMRM Workshop on Quantitative Body Imaging, New Delhi, India, 2018
22018
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