Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Saman Vafadar"'
Autor:
Marc Khalifé, Laura Marie-Hardy, Saman Vafadar, Raphael Pietton, Cédric Duray, Pierre Guigui, Emmanuelle Ferrero
Publikováno v:
Revue de Chirurgie Orthopédique et Traumatologique. 109:197-203
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c411c5bf489f23c30c09a7cabe2467
https://doi.org/10.1016/j.rcot.2022.04.026
https://doi.org/10.1016/j.rcot.2022.04.026
Publikováno v:
Gait & Posture. 94:138-143
Background. Marker-less systems based on digital video cameras and deep learning for gait analysis could have a deep impact in clinical routine. A recently developed system has shown promising results in terms of joint center position but has not bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1862074fb6cf37fc86b3d35ee89cfeb
https://doi.org/10.1016/j.gaitpost.2022.03.008
https://doi.org/10.1016/j.gaitpost.2022.03.008
Autor:
Wafa Skalli, Marc Khalifé, Mathis Renaudin, Saman Vafadar, Amine Hamza, Aurore Bonnet-Lebrun, Laurent Gajny
Publikováno v:
Gait and Posture
Gait and Posture, Elsevier, 2021, 86, pp.70-76. ⟨10.1016/j.gaitpost.2021.03.003⟩
Gait & Posture
Gait & Posture, Elsevier, 2021, 86, pp.70-76. ⟨10.1016/j.gaitpost.2021.03.003⟩
Gait and Posture, Elsevier, 2021, 86, pp.70-76. ⟨10.1016/j.gaitpost.2021.03.003⟩
Gait & Posture
Gait & Posture, Elsevier, 2021, 86, pp.70-76. ⟨10.1016/j.gaitpost.2021.03.003⟩
International audience; Background: The deep learning-based human pose estimation methods, which can estimate joint centers position, have achieved promising results on the publicly available human pose datasets (e.g., Human3.6 M). However, these dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8659681ac816cb800e9a8b2f159c0d94
https://doi.org/10.1016/j.gaitpost.2021.03.003
https://doi.org/10.1016/j.gaitpost.2021.03.003
Autor:
Marc Khalifé, Laura Marie-Hardy, Saman Vafadar, Raphael Pietton, Cédric Duray, Pierre Guigui, Emmanuelle Ferrero
Publikováno v:
Orthopaedicstraumatology, surgeryresearch : OTSR.
The Total Disability Index (TDI) questionnaire has been developed to provide a more complete assessment of low back and neck pain, as they frequently co-occur. This study aimed at validating the TDI questionnaire in French, to determine if it could b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::659ec2df4898498ac60e554568cdb4c5
https://pubmed.ncbi.nlm.nih.gov/35523373
https://pubmed.ncbi.nlm.nih.gov/35523373
Publikováno v:
VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics.
VipIMAGE 2019 (ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing)
VipIMAGE 2019 (ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing), Oct 2019, Porto, Portugal. pp.179-187, ⟨10.1007/978-3-030-32040-9_19⟩
VipIMAGE 2019 ISBN: 9783030320393
VipIMAGE 2019 (ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing)
VipIMAGE 2019 (ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing), Oct 2019, Porto, Portugal. pp.179-187, ⟨10.1007/978-3-030-32040-9_19⟩
VipIMAGE 2019 ISBN: 9783030320393
International audience; Human pose estimation (HPE) methods based on convolutional neural networks (CNN) have demonstrated significant progress and achieved state-of-the-art results on human pose datasets. In this study, we aimed to assess the perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64e1991e9ccdeecee4e511b7dd2e4bb
https://hdl.handle.net/10985/20116
https://hdl.handle.net/10985/20116
Publikováno v:
ICIT
In many practical applications the end effector of a mobile robotic manipulator is required to reach a set of desired positions and orientations. This is commonly achieved through a combination of platform repositionings and manipulator reconfigurati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2105ab065fbdcd5699a8fcbb361f7c9
https://doi.org/10.1109/icit.2018.8352187
https://doi.org/10.1109/icit.2018.8352187