Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Bernard N'KAOUA"'
Autor:
Masrour Makaremi, Alireza Vafaei Sadr, Benoit Marcy, Ikram Chraibi Kaadoud, Ali Mohammad-Djafari, Salomé Sadoun, François De Brondeau, Bernard N’kaoua
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Mandibular retrognathia (C2Rm) is one of the most common oral pathologies. Acquiring a better understanding of the points of impact of C2Rm on the entire skull is of major interest in the diagnosis, treatment, and management of this dysmorph
Externí odkaz:
https://doaj.org/article/8f2262b094c24acabf59a2f65b548ec9
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0282281 (2023)
[This corrects the article DOI: 10.1371/journal.pone.0143962.].
Externí odkaz:
https://doaj.org/article/2c7618c2022f485c85dfe93d65e286b4
Autor:
Masrour Makaremi, Rafael Ristor, François de Brondeau, Agathe Choquart, Camille Mengelle, Bernard N’Kaoua
Publikováno v:
Diagnostics, Vol 13, Iss 7, p 1304 (2023)
Orthodontists have seen their practices evolve from estimating distances on plaster models to estimating distances on non-immersive virtual models. However, if the estimation of distance using real models can generate errors (compared to the real dis
Externí odkaz:
https://doaj.org/article/268d053e5de9475981c7756abcc7e7a6
Autor:
Léa Pillette, Fabien Lotte, Bernard N’Kaoua, Pierre-Alain Joseph, Camille Jeunet, Bertrand Glize
Publikováno v:
NeuroImage: Clinical, Vol 28, Iss , Pp 102417- (2020)
The neuronal loss resulting from stroke forces 80% of the patients to undergo motor rehabilitation, for which Brain-Computer Interfaces (BCIs) and NeuroFeedback (NF) can be used. During the rehabilitation, when patients attempt or imagine performing
Externí odkaz:
https://doaj.org/article/747544a942f94d829b9cc27f47a78997
Autor:
Masrour Makaremi, Bernard N’Kaoua
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8285 (2021)
In the field of orthodontics, digital dental arch models are increasingly replacing plaster models in orthodontic diagnostics. This change in interface from physical plaster models to digital image-based models raises the question of how orthodontist
Externí odkaz:
https://doaj.org/article/d2b2154c045f4dbcac1681412689de59
Publikováno v:
Multimodal Technologies and Interaction, Vol 5, Iss 3, p 12 (2021)
By performing motor-imagery tasks, for example, imagining hand movements, Motor-Imagery based Brain-Computer Interfaces (MI-BCIs) users can control digital technologies, for example, neuroprosthesis, using their brain activity only. MI-BCI users need
Externí odkaz:
https://doaj.org/article/c1ad7a3c3e2d407f807fcc92d1e6df69
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0143962 (2015)
Mental-Imagery based Brain-Computer Interfaces (MI-BCIs) allow their users to send commands to a computer using their brain-activity alone (typically measured by ElectroEncephaloGraphy-EEG), which is processed while they perform specific mental tasks
Externí odkaz:
https://doaj.org/article/72341300e87b45df9fcf7598bc837a1f
Autor:
Mathieu Taillade, Hélène Sauzéon, Prashant Arvind Pala, Marie Déjos, Florian Larrue, Christian Gross, Bernard N'Kaoua
Publikováno v:
PLoS ONE, Vol 8, Iss 7, p e67193 (2013)
The aim of this study was to evaluate motor control activity (active vs. passive condition) with regards to wayfinding and spatial learning difficulties in large-scale spaces for older adults. We compared virtual reality (VR)-based wayfinding and spa
Externí odkaz:
https://doaj.org/article/41a8fd9fec4847b0a83e8ad1851726f9
Publikováno v:
Advances in Human-Computer Interaction, Vol 2013 (2013)
The purpose of this study was to examine the effect of navigation mode (passive versus active) on the virtual/real transfer of spatial learning, according to viewpoint displacement (ground: 1 m 75 versus aerial: 4 m) and as a function of the recall t
Externí odkaz:
https://doaj.org/article/93bd7ced612c4e9aae69adee6e7b938c
Autor:
Masrour MAKAREMI, Benoit MARCY, Ikram CHRAIBI KAADOUD, Alireza VAFAEI SADR, Ali Mohammad-Djafari, Salomé SADOUN, François DE BRONDEAU, Bernard N'KAOUA
Recent advances in the interpretability of convolutional neural networks (CNNs) have allowed applications in imaging as a novel method for visual feature extraction. We used this approach to investigate the impact of changing occlusal forces on crani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c783b0e94f1d952b97ffd58766ce3bf
https://doi.org/10.21203/rs.3.rs-2544408/v1
https://doi.org/10.21203/rs.3.rs-2544408/v1
