Elisabeth Hoppe

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 17

Top Topics

Magnetic Resonance

Maximum Likelihood

Cardiac Imaging

Top Venues

Bildverarbeitung für die Medizin

IEEE Trans. Medical Imaging

Publications

Elisabeth Hoppe, Jens Wetzl, Seung Su Yoon, Mario Bacher, Philipp Roser, Bernhard Stimpel, Alexander Preuhs, Andreas Maier
Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 40 (8) (2021)
Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier
Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning. Bildverarbeitung für die Medizin (2021)
Philipp Roser, Annette Birkhold, Alexander Preuhs, Christopher Syben, Lina Felsner, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier
X-Ray Scatter Estimation Using Deep Splines. IEEE Trans. Medical Imaging 40 (9) (2021)
Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas Maier
2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging. Bildverarbeitung für die Medizin (2021)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier
Abstract: RinQ Fingerprinting. Bildverarbeitung für die Medizin (2020)
Alexander Preuhs, Michael Manhart, Philipp Roser, Elisabeth Hoppe, Yixing Huang, Marios Psychogios, Markus Kowarschik, Andreas K. Maier
Appearance Learning for Image-based Motion Estimation in Tomography. CoRR (2020)
Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning. CoRR (2020)
Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning. MICCAI (2) (2020)
Alexander Preuhs, Michael Manhart, Philipp Roser, Elisabeth Hoppe, Yixing Huang, Marios Psychogios, Markus Kowarschik, Andreas K. Maier
Appearance Learning for Image-Based Motion Estimation in Tomography. IEEE Trans. Medical Imaging 39 (11) (2020)
Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas K. Maier
2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging. CoRR (2020)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. MICCAI (3) (2019)
Alexander Preuhs, Andreas Maier, Michael Manhart, Markus Kowarschik, Elisabeth Hoppe, Javad Fotouhi, Nassir Navab, Mathias Unberath
Symmetry prior for epipolar consistency. Int. J. Comput. Assist. Radiol. Surg. 14 (9) (2019)
Alexander Preuhs, Nishant Ravikumar, Michael Manhart, Bernhard Stimpel, Elisabeth Hoppe, Christopher Syben, Markus Kowarschik, Andreas K. Maier
Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. Bildverarbeitung für die Medizin (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. GMDS (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. CoRR (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting. CoRR (2019)
Elisabeth Hoppe, Gregor Körzdörfer, Tobias Würfl, Jens Wetzl, Felix Lugauer, Josef Pfeuffer, Andreas K. Maier
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series. GMDS (2017)