Visualization in Medicine and Life Sciences

Surface Extraction Methods from Medical Imaging Data.- Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections.- A Topological Approach to Quantitation of Rheumatoid Arthritis.- 3D Visualization of Vasculature: An Overview.- 3D Surface Reconstruction from Endoscopic Videos.- Geometry Processing in Medical Applications.- A Framework for the Visualization of Cross Sectional Data in Biomedical Research.- Towards a Virtual Echocardiographic Tutoring System.- Supporting Depth and Motion Perception in Medical Volume Data.- Visualization of Multi-channel Medical Imaging Data.- Multimodal Image Registration for Efficient Multi-resolution Visualization.- A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations.- Vector and Tensor Visualization in Medical Applications.- Global Illumination of White Matter Fibers from DT-MRI Data.- Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres.- Visual Analysis of Bioelectric Fields.- MRI-based Visualisation of Orbital Fat Deformation During Eye Motion.- Visualizing Molecular Structures.- Visual Analysis of Biomolecular Surfaces.- BioBrowser - Visualization of and Access to Macro-Molecular Structures.- Visualization of Barrier Tree Sequences Revisited.- Visualizing Gene Expression Data.- Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data.- Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos.

Hans Hagen is heading the research group for Computer Graphics and Computer Geometry at the University of Kaiserslautern, Germany, and is Scientific Director of the research lab Intelligent Visualization and Simulation at the German Research Center for Artificial Intelligence (DFKI). His research domains are geometric modeling and scientific visualization.