Diffusion tensor imaging is a magnetic resonance imaging method which has gained increasing importance in neuroscience and especially in neurosurgery. It acquires diffusion proper...
Frank Enders, Natascha Sauber, Dorit Merhof, Peter...
In this case study, a data-oriented approach is used to visualize a complex digital signal processing pipeline. The pipeline implements a Frequency Modulated (FM) Software-Defined...
Matthew Hall, Alex Betts, Donna Cox, David Pointer...
Gaining a comprehensive understanding of turbulent flows still poses one of the great challenges in fluid dynamics. A wellestablished approach to advance this research is the an...
A technique is presented for generating implicit sweep objects that support direct specification and manipulation of the surface with no topological limitations on the 2D sweep t...
We present a meshing and rendering framework for tetrahedral meshes that constructs a multi-resolution representation and uses this representation to adapt the mesh to rendering p...