Alexander Preuhs

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Data Extrapolation from Learned Prior Images for Truncation Correction in Computed Tomography (2021) Huang Y, Preuhs A, Manhart M, Lauritsch G, Maier A Journal article, Original article X-ray Scatter Estimation Using Deep Splines (2021) Roser P, Birkhold A, Preuhs A, Syben-Leisner C, Felsner L, Hoppe E, Strobel N, et al. Journal article 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 Reconstruction of Voxels with Position- and Angle-Dependent Weightings (2020) Felsner L, Würfl T, Syben-Leisner C, Roser P, Preuhs A, Maier A, Riess C Conference contribution, Conference Contribution 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 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 Field of View Extension in Computed Tomography Using Deep Learning Prior (2020) Huang Y, Gao L, Preuhs A, Maier A Conference contribution, Original article