Bouchereau, Aymeric Leblanc, Jean-Marc
L'Intelligence artificielle (IA) connait une période faste marquée par desrésultats scientifiques majeurs et, conséquemment, une intégrationrapide dans les activités humaines bouleversant ainsi les pratiques etles usages. Ces résultats ont été obtenus grâce au perfectionnementdes méthodes d'apprentissage automatique et, surtout,d'apprentissage prof...
Jiang, Jingang Zhang, Jiawei Sun, Jianpeng Wu, Dianhao Xu, Shuainan
Published in
The international journal of medical robotics + computer assisted surgery : MRCAS
Augmented reality (AR) is a new human-computer interaction technology that combines virtual reality, computer vision, and computer networks. With the rapid advancement of the medical field towards intelligence and data visualisation, AR systems are becoming increasingly popular in the medical field because they can provide doctors with clear enough...
David, Erwan Gutiérrez, Jesús Vo, Melissa Le-Hoa Coutrot, Antoine Perreira Da Silva, Matthieu Le Callet, Patrick
Eye tracking can serve as a gateway to studying the mind. For this reason it has been adopted by a diverse range of scientific communities. With the improvement of the quality of head-mounted virtual reality devices (HMDs) over the past 10 years, eye tracking has been added to capture gaze in immersive environments. The use of HMDs with eye trackin...
Guglielmino, Mathieu Bronzino, Francesco Monnet, Sébastien
International audience
Ochoa, Gabriela Liefooghe, Arnaud Lavinas, Yuri Aranha, Claus
This paper adapts a graph-based analysis and visualisation tool, search trajectory networks (STNs) to multi-objective combinatorial optimisation. We formally define multi-objective STNs and apply them to study the dynamics of two state-of-the-art multi-objective evolutionary algorithms: MOEA/D and NSGA2. In terms of benchmark, we consider two- and ...
Shen, Jin-Ming Chen, Jie Feng, Lei Feng, Chun
Published in
International wound journal
Diabetic foot (DF) has become a serious health problem in modern society, and it has been a hotspot of research for a long time. However, little scientometric analysis has been carried out on DF. In the present study, we analysed 8633 literature reports on DF in the Web of Science Core Collection from database inception until April 23, 2022. VOSvie...
Falzone, Kevin Lemonnier, Sophie Grébert, Thibaut Bastien, J. M. Christian
Despite a large number of metrics and eye-tracking data visualization techniques allowing us to study information search on the Internet, the moment-to-moment dynamics of this process has not been taken into account. Therefore, the aim of this paper is to show the interest of visualization methods such as scarf plots. An adaptation of these visuali...
Bachelot, Matthieu Lyubareva, Inna Epalle, Thomas Billot, Romain Lasseri, Raphaël-David
International audience
Reissis, Athena Yoo, Soojeong Clarkson, Matthew J. Thompson, Stephen
Published in
Proceedings of SPIE--the International Society for Optical Engineering
Depth perception is a major issue in surgical augmented reality (AR) with limited research conducted in this scientific area. This study establishes a relationship between luminance and depth perception. This can be used to improve visualisation design for AR overlay in laparoscopic surgery, providing surgeons a more accurate perception of the anat...
Hernandez, Bernard Stiff, Oliver Ming, Damien K. Ho Quang, Chanh Nguyen Lam, Vuong Nguyen Minh, Tuan Nguyen Van Vinh, Chau Nguyen Minh, Nguyet Nguyen Quang, Huy Phung Khanh, Lam
...
Published in
Frontiers in Digital Health
Background Increased data availability has prompted the creation of clinical decision support systems. These systems utilise clinical information to enhance health care provision, both to predict the likelihood of specific clinical outcomes or evaluate the risk of further complications. However, their adoption remains low due to concerns regarding ...