Elisabeth Hoppe

Orcid: 0000-0003-0363-5514

According to our database1, Elisabeth Hoppe authored at least 13 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2021
X-Ray Scatter Estimation Using Deep Splines.
IEEE Trans. Medical Imaging, 2021

Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2021

Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Appearance Learning for Image-Based Motion Estimation in Tomography.
IEEE Trans. Medical Imaging, 2020

2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging.
CoRR, 2020

Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Abstract: RinQ Fingerprinting.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Symmetry prior for epipolar consistency.
Int. J. Comput. Assist. Radiol. Surg., 2019

RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks.
Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019

Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2017
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.
Proceedings of the German Medical Data Sciences: Visions and Bridges, 2017


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