A Supervised Learning Concept for Reducing User Interaction in Passenger Cars. - Marius Stärk; Damian Backes; Christian Kehl (CoRR, 2017)

Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation. - Christian Kehl; Wail Mustafa; Jan Kehres; Anders Bjorholm Dahl; Ulrik Lund Olsen (CoRR, 2018)

Open Problems in 3D Model and Data Management. - René Berndt; Carl Tuemmler; Christian Kehl; Mario Aehnelt; Tim Grasser; Andreas Franek; Torsten Ullrich (VISIGRAPP (1: GRAPP), 2020)

Sparse-View Spectral CT Reconstruction Using Deep Learning. - Wail Mustafa; Christian Kehl; Ulrik Lund Olsen; Søren Kimmer Schou Gregersen; David Malmgren-Hansen; Jan Kehres; Anders Bjorholm Dahl (CoRR, 2020)

Speeding up Python-based Lagrangian Fluid-Flow Particle Simulations via Dynamic Collection Data Structures. - Christian Kehl; Erik van Sebille; Angus Gibson (CoRR, 2021)

Metal Artifact Reduction in Spectral X-ray CT Using Spectral Deep Learning. - Matteo Busi 002; Christian Kehl; Jeppe Revall Frisvad; Ulrik Lund Olsen (J. Imaging, 2022)

Efficiently simulating Lagrangian particles in large-scale ocean flows - Data structures and their impact on geophysical applications. - Christian Kehl; Peter D. Nooteboom; Mikael L. A. Kaandorp; Erik van Sebille (Comput. Geosci., 2023)