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Elisabeth Preuhs
Elisabeth Preuhs
Sonstige NamenElisabeth 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
1242017
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks.
E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ...
GMDS, 126-133, 2019
262019
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
252019
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
222019
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
18*
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: Algorithmen–Systeme–Anwendungen …, 2019
172019
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, 1541-1551, 2019
142019
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
132021
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
132020
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. Joint Annu. Meeting ISMRM-ESMRMB, 1608, 2019
92019
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
72021
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. Annu. Meeting ISMRM, 2129, 2020
72020
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
62020
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
62019
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: Proceedings, German Workshop on …, 2021
52021
Learning how to Clean Fingerprints–Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting
Y Xu, E Hoppe, P Speier, T Kluge, M Nittka, G Körzdörfer, A Maier
Proceedings of the ISMRM Workshop on Data Sampling & Image Reconstruction, 2020
42020
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, ...
Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition), 2019
42019
Automated cardiac resting phase detection targeted on the right coronary artery
SS Yoon, E Preuhs, M Schmidt, C Forman, T Chitiboi, P Sharma, ...
arXiv preprint arXiv:2109.02342, 2021
32021
A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study
SS Yoon, E Hoppe, M Schmidt, C Forman, T Chitiboi, P Sharma, ...
Proceedings of the 28th Annual Meeting of ISMRM, 2210, 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
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