Elisabeth Hoppe
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, 202-206, 2017
472017
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
7*
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
62019
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
62019
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
52019
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
42019
Method, neural network, and magnetic resonance apparatus for assigning magnetic resonance fingerprints
E Hoppe, A Maier, J Pfeuffer
US Patent App. 15/945,964, 2018
22018
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
12019
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
12019
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
12018
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, ...
arXiv preprint arXiv:2007.04018, 2020
2020
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, 2020
2020
RinQ Fingerprinting
E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ...
Bildverarbeitung für die Medizin 2020, 184-184, 2020
2020
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks.
E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ...
GMDS, 126-133, 2019
2019
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, ...
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, ...
Accuracy of Fatty Acid Quantification using Bipolar Multi-Echo MRI for Varying Numbers of Echoes
M Schneider, F Lugauer, E Hoppe, D Nickel, BM Dale, B Kiefer, A Maier, ...
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