| 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 | 86 | 2017 |
| Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ... GMDS, 126-133, 2019 | 15 | 2019 |
| 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 | 15 | 2019 |
| 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 | 13 | 2019 |
| 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 | 13 | 2019 |
| 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 | 8 | 2019 |
| 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 | 7 | 2020 |
| Method, neural network, and magnetic resonance apparatus for assigning magnetic resonance fingerprints E Hoppe, A Maier, J Pfeuffer US Patent 10,698,055, 2020 | 6 | 2020 |
| 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 | 6 | 2019 |
| 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 | 5 | 2021 |
| 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 | 5 | 2020 |
| 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 | 5 | 2020 |
| 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 | 4 | 2021 |
| 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 | 4 | 2019 |
| 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 | 3 | 2021 |
| RinQ Fingerprinting E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ... Bildverarbeitung für die Medizin 2020, 184-184, 2020 | 3 | 2020 |
| 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 | 3 | 2018 |
| 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 | 2 | 2019 |
| 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 | 2 | 2018 |
Andreas K. MaierUniversity of Erlangen-NurembergBestätigte E-Mail-Adresse bei fau.de
