ScrollyVis: Interactive visual authoring of guided dynamic narratives for scientific scrollytelling

E Mörth, S Bruckner, NN Smit - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Visual stories are an effective and powerful tool to convey specific information to a diverse
public. Scrollytelling is a recent visual storytelling technique extensively used on the web …

[HTML][HTML] Longitudinal visualization for exploratory analysis of multiple sclerosis lesions

S Sugathan, H Bartsch, F Riemer, R Grüner… - Computers & …, 2022 - Elsevier
In multiple sclerosis (MS), the amount of brain damage, anatomical location, shape, and
changes are important aspects that help medical researchers and clinicians to understand …

MoReVis: A Visual Summary for Spatiotemporal Moving Regions

G Valdrighi, N Ferreira, J Poco - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Spatial and temporal interactions are central and fundamental in many activities in our
world. A common problem faced when visualizing this type of data is how to provide an …

[Retracted] Application of Computer‐Aided Graphic Design in Enterprise Image

S Zhang - Security and Communication Networks, 2022 - Wiley Online Library
In order to study the role of computer‐aided graphic design on corporate image, improve the
internal management efficiency and market management effect of enterprises, and improve …

Scaling Up Medical Visualization: Multi-Modal, Multi-Patient, and Multi-Audience Approaches for Medical Data Exploration, Analysis and Communication

E Moerth - 2022 - diglib.eg.org
Medical visualization is one of the most application-oriented areas of visualization research.
Close collaboration with medical experts is essential for interpreting medical imaging data …

Data Analysis of Lightning Location and Warning System Based on Cluster Analysis

Y Zhang, J Li, R Yan - The International Conference on Cyber Security …, 2023 - Springer
Through the analysis of lightning location data, the characteristics of lightning are studied,
and the clustering algorithm for data mining is compared and improved so that it can be …