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Alexander Preuhs
List of publications:
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Lehrstuhl für Informatik 5 (Mustererkennung)
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Publications
(26)
Activities
(2)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
Translation
Translation
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Thesis
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Edited Volume
Conference contribution
Conference contribution
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Other publication type
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Unpublished / Preprint
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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
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