Abstract Background Medical Image segmentation is an important image processing step.
Comparing images to evaluate the quality of segmentation is an essential part of measuring …

Bundling techniques provide a visual simplification of a graph drawing or trail set, by
spatially grou** similar graph edges or trails. This way, the structure of the visualization …

This work presents an anatomically curated white matter atlas to enable consistent white
matter tract parcellation across different populations. Leveraging a well-established …

Diffusion MR data sets produce large numbers of streamlines which are hard to visualize,
interact with, and interpret in a clinically acceptable time scale, despite numerous proposed …

We propose a new white matter atlas creation method that learns a model of the common
white matter structures present in a group of subjects. We demonstrate that our atlas creation …

The analysis of brain connectivity is a vast field in neuroscience with a frequent use of visual
representations and an increasing need for visual analysis tools. Based on an in-depth …

Visualization in Medicine is the first book on visualization and its application to problems in
medical diagnosis, education, and treatment. The book describes the algorithms, the …

Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …

The study of brain differences across Eastern and Western populations provides vital
insights for understanding potential cultural and genetic influences on cognition and mental …

In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis
from motions of objects in crowded scenes. Different from existing approaches of learning …