Christian Kehl

According to our database, Christian Kehl authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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., June, 2023

2022

Metal Artifact Reduction in Spectral X-ray CT Using Spectral Deep Learning.

Matteo Busi, Christian Kehl, Jeppe Revall Frisvad, Ulrik Lund Olsen

J. Imaging, 2022

2021

Speeding up Python-based Lagrangian Fluid-Flow Particle Simulations via Dynamic Collection Data Structures.

Christian Kehl, Erik van Sebille, Angus Gibson

CoRR, 2021

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

Open Problems in 3D Model and Data Management.

René Berndt, Carl Tuemmler, Christian Kehl, Mario Aehnelt, Tim Grasser, Andreas Franek, Torsten Ullrich

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2018

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

2017

A Supervised Learning Concept for Reducing User Interaction in Passenger Cars.

Marius Stärk, Damian Backes, Christian Kehl

CoRR, 2017