Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Dominique Sappey–Marinier"'
Autor:
Enyi Chen, Berardino Barile, Françoise Durand-Dubief, Thomas Grenier, Dominique Sappey-Marinier
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2024)
Multiple Sclerosis (MS) is an autoimmune disease that combines chronic inflammatory and neurodegenerative processes underlying different clinical forms of evolution, such as relapsing-remitting, secondary progressive, or primary progressive MS. This
Externí odkaz:
https://doaj.org/article/207202cce22d4db5a26991d2720cfa72
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Automated segmentation of new multiple sclerosis (MS) lesions in 3D MRI data is an essential prerequisite for monitoring and quantifying MS progression. Manual delineation of such lesions is time-consuming and expensive, especially because raters nee
Externí odkaz:
https://doaj.org/article/d1b59abcd3f048aa93044ad3708fd1b6
Editorial: Hot topic: Reducing operating times and complication rates through robot-assisted surgery
Autor:
Daniele Cafolla, Francesco Calimeri, Huiping Cao, Matteo Russo, Dominique Sappey-Marinier, Paolo Zaffino
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Externí odkaz:
https://doaj.org/article/7418461212ec4e0c929fd9ec109b9485
Autor:
Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods.Materials and Methods:
Externí odkaz:
https://doaj.org/article/db330e942bb64ffd9b9714fe80ec93c5
Autor:
Carine Ciceron, Dominique Sappey-Marinier, Paola Riffo, Soline Bellaiche, Gabriel Kocevar, Salem Hannoun, Claudio Stamile, Jérôme Redoute, Francois Cotton, Patrice Revol, Nathalie Andre-Obadia, Jacques Luaute, Gilles Rode
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Most of motor recovery usually occurs within the first 3 months after stroke. Herein is reported a remarkable late recovery of the right upper-limb motor function after a left middle cerebral artery stroke. This recovery happened progressively, from
Externí odkaz:
https://doaj.org/article/8e603133fc364c5aa42559a0f06542ba
Autor:
Ilaria Suprano, Chantal Delon-Martin, Gabriel Kocevar, Claudio Stamile, Salem Hannoun, Sophie Achard, Amanpreet Badhwar, Pierre Fourneret, Olivier Revol, Fanny Nusbaum, Dominique Sappey-Marinier
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2020)
Externí odkaz:
https://doaj.org/article/8f212dcf37934de9bed66bc80d7fe210
Autor:
Ilaria Suprano, Chantal Delon-Martin, Gabriel Kocevar, Claudio Stamile, Salem Hannoun, Sophie Achard, Amanpreet Badhwar, Pierre Fourneret, Olivier Revol, Fanny Nusbaum, Dominique Sappey-Marinier
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
The idea that intelligence is embedded not only in a single brain network, but instead in a complex, well-optimized system of complementary networks, has led to the development of whole brain network analysis. Using graph theory to analyze resting-st
Externí odkaz:
https://doaj.org/article/324b88e3111c4de592e833ea95bb7517
Autor:
Aldo Marzullo, Gabriel Kocevar, Claudio Stamile, Françoise Durand-Dubief, Giorgio Terracina, Francesco Calimeri, Dominique Sappey-Marinier
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Recent advances in image acquisition and processing techniques, along with the success of novel deep learning architectures, have given the opportunity to develop innovative algorithms capable to provide a better characterization of neurological rela
Externí odkaz:
https://doaj.org/article/f70f4b56e456452b9e164bae1f09e903
Autor:
Adrian Ion-Mărgineanu, Gabriel Kocevar, Claudio Stamile, Diana M. Sima, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Purpose: The purpose of this study is classifying multiple sclerosis (MS) patients in the four clinical forms as defined by the McDonald criteria using machine learning algorithms trained on clinical data combined with lesion loads and magnetic reson
Externí odkaz:
https://doaj.org/article/9844d1ba2a5e462887a30f3caea325d4
Autor:
Gabriel Kocevar, Claudio Stamile, Salem Hannoun, François Cotton, Sandra Vukusic, Françoise Durand-Dubief, Dominique Sappey-Marinier
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Purpose: In this work, we introduce a method to classify Multiple Sclerosis (MS) patients into four clinical profiles using structural connectivity information. For the first time, we try to solve this question in a fully automated way using a comput
Externí odkaz:
https://doaj.org/article/7e3356bdf5bc4a5abb56aaecca61ebec