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Christopher Syben
List of publications:
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Lehrstuhl für Informatik 5 (Mustererkennung)
Lehrstuhl für Biochemie
Publications
(43)
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
Thesis
Thesis
Edited Volume
Edited Volume
Conference contribution
Conference contribution
Other publication type
Other publication type
Unpublished / Preprint
Unpublished / Preprint
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Optimizing CT Scan Geometries With and Without Gradients (2023)
Thies M, Wagner F, Maul N, Pfaff L, Schneider LS, Syben C, Maier A
Conference contribution, Original article
Abstract: Is Medical Chest X-ray Data Anonymous? (2023)
Packhäuser K, Gündel S, Münster N, Syben C, Christlein V, Maier A
Conference contribution, Abstract of lecture
Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data (2022)
Packhäuser K, Gündel S, Münster N, Syben C, Christlein V, Maier A
Journal article, Original article
Known Operator Learning for a Hybrid Magnetic Resonance/X-ray Imaging Acquisition Scheme (2021)
Syben C
Thesis
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems (2021)
Huang Y, Fan F, Syben-Leisner C, Roser P, Mill L, Maier A
Journal article, Original article
Helical Dark-field Fiber Reconstruction (2021)
Felsner L, Syben-Leisner C, Maier A, Riess C
Conference contribution, 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
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
Age Estimation on Panoramic Dental X-ray Images using Deep Learning (2021)
Wallraff S, Vesal S, Syben-Leisner C, Lutz R, 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
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