Author(s): Spiegler P; Harirpoush A; Xiao Y;

Crucial in disease analysis and surgical planning, manual segmentation of volumetric medical scans (e.g. MRI, CT) is laborious, error-prone, and challenging to master, while fully automatic algorithms can benefit from user feedback. Therefore, with the complementary power of the latest radiological AI foundation models and virtual reality (VR)'s intui ...

Article GUID: 41509996

Author(s): Titov A; Drouin S; Kersten-Oertel M;

Background: One of the bottlenecks of visualization research is the lack of volunteers for studies that evaluate new methods and paradigms. The increased availability of web-based marketplaces, combined with the possibility of implementing volume rendering, a computationally expensive method, on mobile devices, has opened the door for using gamification i ...

Article GUID: 41341989

Author(s): Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL;

Purpose: Image-guided neurosurgery demands precise depth perception to minimize cognitive burden during intricate navigational tasks. Existing evaluation methods rely heavily on subjective user feedback, which can be biased and inconsistent. This study uses a physiological measure via electroencephalography (EEG), to quantify cognitive load when using nov ...

Article GUID: 40650801

Author(s): Pinsard B, Boutin A, Doyon J, Benali H

Front Neurosci. 2018;12:268 Authors: Pinsard B, Boutin A, Doyon J, Benali H

Article GUID: 29755312