19 citations · 31 across the 8 of their papers we have counts for
4 papers · 1 filter
MAGES 4.0: Accelerating the world's transition to VR training and democratizing the authoring of the medical metaverse
Paul Zikas, Antonis Protopsaltis, Nick Lydatakis +14
In this work, we propose MAGES 4.0, a novel Software Development Kit (SDK) to accelerate the creation of collaborative medical training applications in VR/AR. Our solution is essen…
Assessing unconstrained surgical cuttings in VR using CNNs
Ilias Chrysovergis, Manos Kamarianakis, Mike Kentros +3
We present a Convolutional Neural Network (CNN) suitable to assess unconstrained surgical cuttings, trained on a dataset created with a data augmentation technique.
Recording and replaying psychomotor user actions in VR
Manos Kamarianakis, Ilias Chrysovergis, Mike Kentros +1
We introduce a novel method that describes the functionality and characteristics of an efficient VR recorder with replay capabilities, implemented in a modern game engine, publicly…
Less Is More: Efficient Networked VR Transformation Handling Using Geometric Algebra
Manos Kamarianakis, Ilias Chrysovergis, Nick Lydatakis +2
As shared, collaborative, networked, virtual environments become increasingly popular, various challenges arise regarding the efficient transmission of model and scene transformati…