Zobrazeno 1 - 10
of 102
pro vyhledávání: '"soft tissue simulation"'
Publikováno v:
Communications in Development and Assembling of Textile Products, Vol 5, Iss 2 (2024)
Nowadays, soft avatars are used in various fields to simulate the behavior of human soft tissues in different applications. Likewise, they are also utilized in the garment industry in order to achieve a realistic testing of the fit and functionality
Externí odkaz:
https://doaj.org/article/d34bea80e4d04e82a4ac02d00fcb5e81
Autor:
Patricia Alcañiz, César Vivo de Catarina, Alessandro Gutiérrez, Jesús Pérez, Carlos Illana, Beatriz Pinar, Miguel A. Otaduy
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Computational preoperative planning offers the opportunity to reduce surgery time and patient risk. However, on soft tissues such as the breast, deviations between the preoperative and intraoperative settings largely limit the applicability of preope
Externí odkaz:
https://doaj.org/article/4a044bf63c6945e490de4b48ebb6037b
Autor:
Alessandro Gutiérrez Venturini, Jorge Guiñales Díaz de Cevallos, José Luis del Castillo Pardo de Vera, Patricia Alcañiz Aladrén, Carlos Illana Alejandro, José Luis Cebrián Carretero
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 9; Pages: 1460
The purpose of this study was to perform a quantitative and qualitative validation of a soft tissue simulation pipeline for orthognathic surgery planning, necessary for clinical use. Simulation results were retrospectively obtained in 10 patients who
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Autor:
Héctor Barreiro, C. Illana, Jesús Pérez, Ángel Villalobos, Miguel A. Otaduy, Jorge Guiñales, David Miraut, Patricia Alcañiz, Alessandro Gutiérrez
Publikováno v:
Journal of Personalized Medicine
Volume 11
Issue 10
BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
instname
Journal of Personalized Medicine, Vol 11, Iss 982, p 982 (2021)
Volume 11
Issue 10
BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
instname
Journal of Personalized Medicine, Vol 11, Iss 982, p 982 (2021)
Simulation technologies offer interesting opportunities for computer planning of orthognathic surgery. However, the methods used to date require tedious set up of simulation meshes based on patient imaging data, and they rely on complex simulation mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff69b26b6c8c5f1f95a776591666cddd
http://hdl.handle.net/10115/19308
http://hdl.handle.net/10115/19308
Autor:
Paola Fernanda Leal Corazza, Fernando Martins Baeder, Daniel Furtado Silva, Jorge Vicente Lopes da Silva, Francine Kühl Panzarella, Ana Carolina Lyra de Albuquerque, José Luiz Cintra Junqueira
Publikováno v:
Research, Society and Development; Vol. 9 No. 11; e2649119842
Research, Society and Development; Vol. 9 Núm. 11; e2649119842
Research, Society and Development; v. 9 n. 11; e2649119842
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development; Vol. 9 Núm. 11; e2649119842
Research, Society and Development; v. 9 n. 11; e2649119842
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
This study compared the acquisition protocols of the Conical Beam Computed Tomography (CBCT) system, to assess the influence on image accuracy by different voxel sizes and the presence of soft tissue. Tomographic acquisition was performed in a fresh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5003c131f167854a0988f6e8e1cd725
https://rsdjournal.org/index.php/rsd/article/view/9842
https://rsdjournal.org/index.php/rsd/article/view/9842
Autor:
Cícero André da Costa Moraes, Everton Luis Santos da Rosa, Rodrigo Dornelles, Hugo Santos Cunha
Publikováno v:
Oral and Maxillofacial Surgery
To assess whether virtual simulations of the projection of the soft tissues of the face after class II bimaxillary orthognathic surgery, generated from 3D reconstruction of preoperative computed tomography (CT) scans, differed significantly from the
Autor:
Marco Piccinelli, Paolo Fiorini, Ameya Pore, Diego Dall'Alba, Enrico Magnabosco, Eleonora Tagliabue
Publikováno v:
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IROS
IROS
Reinforcement Learning (RL) methods have demonstrated promising results for the automation of subtasks in surgical robotic systems. Since many trial and error attempts are required to learn the optimal control policy, RL agent training can be perform
Akademický článek
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