Christopher Syben

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Biochemie

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