Zobrazeno 1 - 10
of 1 668
pro vyhledávání: '"Lempereur, A."'
Publikováno v:
IJCNN 2024
While automatic monitoring and coaching of exercises are showing encouraging results in non-medical applications, they still have limitations such as errors and limited use contexts. To allow the development and assessment of physical rehabilitation
Externí odkaz:
http://arxiv.org/abs/2407.00521
Autor:
Lempereur, Etienne, Mallat, Stéphane
Finding low-dimensional interpretable models of complex physical fields such as turbulence remains an open question, 80 years after the pioneer work of Kolmogorov. Estimating high-dimensional probability distributions from data samples suffers from a
Externí odkaz:
http://arxiv.org/abs/2405.03468
Autor:
José de la Fuente, Srikant Ghosh, Laetitia Lempereur, Aura Garrison, Hein Sprong, Cesar Lopez-Camacho, Christine Maritz-Olivier, Marinela Contreras, Alberto Moraga-Fernández, Dennis A. Bente
Publikováno v:
npj Vaccines, Vol 9, Iss 1, Pp 1-10 (2024)
Abstract Crimean-Congo hemorrhagic fever (CCHF) is a zoonotic disease associated with its principal tick vector, Hyalomma spp. with increasing fatal incidence worldwide. Accordingly, CCHF is a World Health Organization-prioritized disease with the ab
Externí odkaz:
https://doaj.org/article/e8bc6cbe27c14d328e34a8e68dc86ea9
There is a growing gap between the impressive results of deep image generative models and classical algorithms that offer theoretical guarantees. The former suffer from mode collapse or memorization issues, limiting their application to scientific da
Externí odkaz:
http://arxiv.org/abs/2306.00181
Autor:
Gwenaël Cornec, Mathieu Lempereur, Johanne Mensah-Gourmel, Johanna Robertson, Ludovic Miramand, Beatrice Medee, Soline Bellaiche, Raphael Gross, Jean-Michel Gracies, Olivier Remy-Neris, Nicolas Bayle
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-11 (2024)
Abstract Background Movement smoothness is a potential kinematic biomarker of upper extremity (UE) movement quality and recovery after stroke; however, the measurement properties of available smoothness metrics have been poorly assessed in this group
Externí odkaz:
https://doaj.org/article/1946c7d3d458482c8487ee5aaa353253
Autor:
Eppinger, Sophie, Piayda, Kerstin, Galea, Roberto, Sandri, Marcus, Maarse, Moniek, Güner, Ahmet, Karabay, Can Y., Pershad, Ashish, Ding, Wern Y., Aminian, Adel, Akin, Ibrahim, Davtyan, Karapet V., Chugunov, Ivan A., Marijon, Eloi, Rosseel, Liesbeth, Schmidt, Thomas Robert, Amabile, Nicolas, Korsholm, Kasper, Lund, Juha, Guerios, Enio, Amat-Santos, Ignacio J., Boccuzzi, Giacomo, Ellis, Christopher R., Sabbag, Avi, Ebelt, Henning, Clapp, Brian, Assa, Hana Vaknin, Levi, Amos, Ledwoch, Jakob, Lehmann, Sonja, Lee, Oh-Hyun, Mark, George, Schell, Wendy, della Rocca, Domenico G., Natale, Andrea, de Backer, Ole, Kefer, Joelle, Esteban, Pablo P., Abelson, Mark, Ram, Pradhum, Moceri, Pamela, Galache Osuna, Jose G., Alvarez, Xavier Millán, Cruz-Gonzalez, Ignacio, de Potter, Tom, Ghassan, Moubarak, Osadchiy, Andrey, Chen, Weita, Goyal, Sandeep K., Giannini, Francesco, Rivero-Ayerza, Máximo, Afzal, Shazia, Jung, Christian, Skurk, Carsten, Langel, Martin, Spence, Mark, Merkulov, Evgeny, Lempereur, Mathieu, Shin, Seung Y., Mesnier, Jules, McKinney, Heather L., Schuler, Brian T., Armero, Sebastien, Gheorghe, Livia, Ancona, Marco B.M., Santos, Lino, Mansourati, Jacques, Nombela-Franco, Luis, Nappi, Francesco, Kühne, Michael, Gaspardone, Achille, van der Pals, Jesper, Montorfano, Matteo, Fernández-Armenta, Juan, Harvey, James E., Rodés-Cabau, Josep, Klein, Norbert, Sabir, Sajjad A., Kim, Jung-Sun, Cook, Stephane, Kornowski, Ran, Saraste, Antti, Nielsen-Kudsk, Jens E., Gupta, Dhiraj, Boersma, Lucas, Räber, Lorenz, Sievert, Kolja, Sievert, Horst, Bertog, Stefan
Publikováno v:
In Cardiovascular Revascularization Medicine July 2024 64:7-14
Autor:
Nawel Ben Chaabane, Pierre-Henri Conze, Mathieu Lempereur, Gwenolé Quellec, Olivier Rémy-Néris, Sylvain Brochard, Béatrice Cochener, Mathieu Lamard
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Quantitative Gait Analysis (QGA) is considered as an objective measure of gait performance. In this study, we aim at designing an artificial intelligence that can efficiently predict the progression of gait quality using kinematic data obtai
Externí odkaz:
https://doaj.org/article/93044207a4864f229906d135126eed5d
Autor:
Lan, Zhengyang, Lempereur, Mathieu, Gueret, Gwenael, Houx, Laetitia, Cacioppo, Marine, Pons, Christelle, Mensah, Johanne, Rémy-Néris, Olivier, Aïssa-El-Bey, Abdeldjalil, Rousseau, François, Brochard, Sylvain
Publikováno v:
In Computers in Biology and Medicine March 2024 171
Autor:
Cornec, Gwenaël1,2 (AUTHOR) gwenael.cornec@chu-brest.fr, Lempereur, Mathieu1,2 (AUTHOR), Mensah-Gourmel, Johanne1,2,3 (AUTHOR), Robertson, Johanna4 (AUTHOR), Miramand, Ludovic2,3 (AUTHOR), Medee, Beatrice1 (AUTHOR), Bellaiche, Soline5 (AUTHOR), Gross, Raphael6 (AUTHOR), Gracies, Jean-Michel7,8 (AUTHOR), Remy-Neris, Olivier1,2 (AUTHOR), Bayle, Nicolas7,8 (AUTHOR)
Publikováno v:
Journal of NeuroEngineering & Rehabilitation (JNER). 5/29/2024, Vol. 21 Issue 1, p1-11. 11p.
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