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Browsing: Visualization
MRIcroGL is a cross-platform neuroimaging visualization application designed for real-time 3D volume rendering and multi-planar orthogonal slice inspection of volumetric medical data. Built on hardware-accelerated graphics engines, the tool enables cognitive neuroscientists, clinical neurologists, and imaging researchers to superimpose statistical parametric maps onto anatomical templates. In contemporary neuroscience workflows, it provides reproducible figure generation, automated…
Epidemiology and public health are grounded by the use of core demographic statistics, such as mortality rates and life expectancy. Indicators such as mortality rates are usually presented as tables or basic charts; however, there is significant potential in data visualization techniques to improve understanding and dissemination of these statistics. This project aims to use…
Epidemiology and public health are grounded by the use of core demographic statistics, such as mortality rates and life expectancy. Indicators such as mortality rates are usually presented as tables or basic charts; however, there is significant potential in data visualization techniques to improve understanding and dissemination of these statistics. This project aims to use…
The most common bad data visualization example in research papers is a bar chart whose y-axis does not start at zero. Peer-reviewed work on this pattern finds that such axes can visually exaggerate effect sizes, and that adding explicit cues does not remove the effect. This guide shows how a truncated chart is built in…
The AI-powered NeuroDR software reportedly removes bone, soft tissue and veins from CTA scans and provides subsequent 3D MIP views and curved planar reformatted views of carotid and vertebral arteries.
The best AI data visualization tools in 2026 are Julius AI for chat-based analysis without code, Tableau with AI for enterprise-grade dashboards, Hex for collaborative data notebooks, and Datawrapper for publishing clean charts fast.
Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that you can use to connect to your data and create interactive dashboards that can be shared with tens of thousands of users. The dashboards can be used within QuickSight or embedded in software as a service (SaaS) apps.
According to Research Scientist Andrew McAfee and Professor Erik Brynjolfsson of MIT, the amount of data that crosses the Internet every second is greater than all the data stored in the Internet just 20 years ago. This amounts to exabytes of data being created on a daily basis.
With the explosion of data available today, finding effective ways for humans to interact with that data represents an enormous opportunity for researchers. At present, the ability to understand the nuances of visualizing data extends beyond simply interpreting data—we need to examine data from multiple perspectives to inform how we act on that data effectively.…
Raw data is boring and it’s difficult to make sense of it in its natural form. Add visualization to it and you get something that everybody can easily digest. Not only you can make sense of it faster, but you can also observe interesting patterns that wouldn’t be apparent from looking only at stats.