| 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 | 47 | 2017 |
| 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 | 6 | 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 | 6 | 2019 |
| 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 | 5 | 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 | 4 | 2019 |
| 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 | 2 | 2018 |
| 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 | 1 | 2019 |
| 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 | 1 | 2019 |
| 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 | 1 | 2018 |
| 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, ... | | |
Andreas K. MaierUniversity of Erlangen-NurembergBestätigte E-Mail-Adresse bei informatik.uni-erlangen.de
