To make predictions and explore large datasets, healthcare is increasingly applying
advanced algorithms of artificial intelligence. However, to make well‐considered and …

Diffusion MRI tractography is often used to estimate structural connections between brain
areas and there is a fast-growing interest in quantifying these connections based on their …

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 …

In recent years, there has been considerable research interest in the study of brain
connectivity using the resting state functional magnetic resonance imaging (rsfMRI). Studies …

We present NeuroLines, a novel visualization technique designed for scalable detailed
analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue …

This paper presents Abstractocyte, a system for the visual analysis of astrocytes and their
relation to neurons, in nanoscale volumes of brain tissue. Astrocytes are glial cells, ie, non …

Current work on using visual analytics to determine causal relations among variables has
mostly been based on the concept of counterfactuals. As such the derived static causal …

A variety of exciting scientific achievements have been made in the last few decades in brain
encoding and decoding via functional magnetic resonance imaging (fMRI). This trend …

Brain extraction, also known as skull stripping, is one of the most important preprocessing
steps for many automatic brain image analysis. In this paper we present a new approach …

Neuroscientists study the function of neural circuits in the brain of the common fruit fly
Drosophila melanogaster to discover how complex behavior is generated. To establish …