Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …

In many applications, visual analytics (VA) has developed into a standard tool to ease data
access and knowledge generation. VA describes a holistic cycle transforming data into …

Map‐like visualizations of patient‐specific cardiovascular structures have been applied in
numerous medical application contexts. The term map‐like alludes to the characteristics …

Recently, machine learning is massively on the rise in medical applications providing the
ability to predict diseases, plan treatment and monitor progress. Still, the use in a clinical …

Combining elements of biology, chemistry, physics, and medicine, the science of human
physiology is complex and multifaceted. In this report, we offer a broad and multiscale …

Abstract​ Dieses Open-Access-essential schafft Orientierung, wenn Künstliche Intelligenz
im klinischen Alltag eingesetzt wird. Die Herausforderungen werden anhand zweier …

Analyzing stenoses of the internal carotids–local constrictions of the artery–is a critical
clinical task in cardiovascular disease treatment and prevention. For this purpose, we …

We investigate uncertainty guidance mechanisms to support proton therapy (PT) planning
visualization. Uncertainties in the PT workflow pose significant challenges for navigating …

The rise in Artificial Intelligence (AI) and deep learning research has shown great promise in
diagnosing prostate cancer from whole slide image biopsies. Intelligent application interface …

Purpose Communicating complex blood flow patterns generated from computational fluid
dynamics (CFD) simulations to clinical audiences for the purposes of risk assessment or …