6 citations · 6 across the 1 of their papers we have counts for
3 papers
Speeding up Python-based Lagrangian Fluid-Flow Particle Simulations via Dynamic Collection Data Structures
Christian Kehl, Erik van Sebille, Angus Gibson
Array-like collection data structures are widely established in Python's scientific computing-ecosystem for high-performance computations. The structure maps well to regular, gridd…
Sparse-View Spectral CT Reconstruction Using Deep Learning
Wail Mustafa, Christian Kehl, Ulrik Lund Olsen +4
Spectral computed tomography (CT) is an emerging technology capable of providing high chemical specificity, which is crucial for many applications such as detecting threats in lugg…
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation
Christian Kehl, Wail Mustafa, Jan Kehres +2
Multi-spectral computed tomography is an emerging technology for the non-destructive identification of object materials and the study of their physical properties. Applications of…