Prof. Dr.-Ing. Joachim Hornegger

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

AI Makes Medicine More Efficient, Individual and Preventive (2023) Hornegger J Authored book Road to Net Zero. Strategic Pathways for Sustainability-Driven Business Transformation. (2023) Zipse O, Hornegger J, Becker T, Beckmann M, Bengsch M, Feige I, Schober M Edited Volume A learning-based material decomposition pipeline for multi-energy x-ray imaging (2019) Lu Y, Kowarschik M, Huang X, Xia Y, Choi JH, Chen S, Hu S, et al. Journal article Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans (2019) Ghesu FC, Georgescu B, Zheng Y, Grbic S, Maier A, Hornegger J, Comaniciu D Journal article Temporal and Volumetric Denoising via Quantile Sparse Image Prior (2018) Schirrmacher F, Köhler T, Endres J, Lindenberger T, Husvogt L, Fujimoto JG, Hornegger J, et al. Journal article, Original article Towards Intelligent Robust Detection of Anatomical Structures in Incomplete Volumetric Data (2018) Ghesu FC, Georgescu B, Grbic S, Maier A, Hornegger J, Comaniciu D Journal article Material Decomposition Using Ensemble Learning for Spectral X-ray Imaging (2018) Lu Y, Kowarschik M, Huang X, Chen S, Ren Q, Fahrig R, Hornegger J, Maier A Journal article Abstract: QuaSI - Quantile Sparse Image A Prior for Spatio-Temporal Denoising of Retinal OCT Data (2018) Schirrmacher F, Köhler T, Husvogt L, Fujimoto JG, Hornegger J, Maier A Conference contribution, Abstract of lecture Medical Imaging Systems (2018) Maier A, Steidl S, Christlein V, Hornegger J Edited Volume Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data (2018) Ghesu FC, Georgescu B, Grbic S, Maier A, Hornegger J, Comaniciu D Conference contribution