Elisabeth Hoppe

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Deep learning-based ECG-free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging (2021) Hoppe E, Wetzl J, Yoon SS, Bacher M, Roser P, Stimpel B, Preuhs A, Maier A Journal article, Original article Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning (2021) Roser P, Zhong X, Birkhold A, Preuhs A, Syben-Leisner C, Hoppe E, Strobel N, et al. Conference contribution 2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging (2021) Hoppe E, Wetzl J, Roser P, Felsner L, Preuhs A, Maier A Conference contribution Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning (2020) Roser P, Zhong X, Birkhold A, Preuhs A, Syben-Leisner C, Hoppe E, Strobel N, et al. Book chapter / Article in edited volumes Appearance Learning for Image-based Motion Estimation in Tomography (2020) Preuhs A, Manhart M, Roser P, Hoppe E, Huang Y, Psychogios M, Kowarschik M, Maier A Journal article Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting (2020) Xu Y, Hoppe E, Speier P, Kluge T, Nittka M, Koerzdoerfer G, Maier A Conference contribution, Conference Contribution DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning based R-Wave Classification for Automated Cardiac Phase Binning (2020) Hoppe E, Wetzl J, Yoon SS, Schneider M, Stimpel B, Preuhs A, Maier A Conference contribution, Conference Contribution RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting (2020) Hoppe E, Thamm F, Koerzdoerfer G, Syben-Leisner C, Nittka M, Pfeuffer J, Meyer H, Maier A Conference contribution, Abstract of lecture A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study (2020) Yoon SS, Hoppe E, Schmidt M, Forman C, Chitiboi T, Sharma P, Tillmanns C, et al. Conference contribution, Abstract of a poster Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting (2020) Xu Y, Hoppe E, Speier P, Kluge T, Nittka M, Koerzdoerfer G, Maier A Conference contribution, Conference Contribution