Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ackaouy A"'
Autor:
Antoine Ackaouy, Nicolas Courty, Emmanuel Vallée, Olivier Commowick, Christian Barillot, Francesca Galassi
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Automatic segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) images is essential for clinical assessment and treatment planning of MS. Recent years have seen an increasing use of Convolutional Neural Networks (CNNs)
Externí odkaz:
https://doaj.org/article/f013e4a1ff194e7f89842e4c0dc7060f
Autor:
John S. H. Baxter, Antoine Ackaouy, Greydon Gilmore, Maxime Peralta, Paul Sauleau, Quoc Anh Bui, Claire Haegelen, Pierre Jannin, Thibault Martin
Publikováno v:
EMBC
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd, Annual Conference of the Canadian Medical and Biological Engineering Society
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd, Annual Conference of the Canadian Medical and Biological Engineering Society, Jul 2020, Montreal, Canada
HAL
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd, Annual Conference of the Canadian Medical and Biological Engineering Society
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd, Annual Conference of the Canadian Medical and Biological Engineering Society, Jul 2020, Montreal, Canada
HAL
International audience; Micro-electrode recording (MER) is a powerful way of localizing target structures during neurosur-gical procedures such as the implantation of deep brain stimulation electrodes, which is a common treatment for Parkinson's dise
Autor:
Ackaouy, Antoine, Courty, Nicolas, Vallée, Emmanuel, Commowick, Olivier, Barillot, Christian, Galassi, Francesca
Publikováno v:
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience, Frontiers, 2020, 14
Frontiers in Computational Neuroscience, Frontiers, 2020, 14, pp.1-13. ⟨10.3389/fncom.2020.00019⟩
Frontiers in Computational Neuroscience, 2020, 14, pp.1-13. ⟨10.3389/fncom.2020.00019⟩
Frontiers in Computational Neuroscience, Vol 14 (2020)
Frontiers in Computational Neuroscience, Frontiers, 2020, 14
Frontiers in Computational Neuroscience, Frontiers, 2020, 14, pp.1-13. ⟨10.3389/fncom.2020.00019⟩
Frontiers in Computational Neuroscience, 2020, 14, pp.1-13. ⟨10.3389/fncom.2020.00019⟩
Frontiers in Computational Neuroscience, Vol 14 (2020)
International audience; Automatic segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) images is essential for clinical assessment and treatment planning of MS. Recent years have seen an increasing use of Convolutiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::dae8703a2d388d0d35ca51c0d2a4c782
https://hal.archives-ouvertes.fr/hal-02317028/document
https://hal.archives-ouvertes.fr/hal-02317028/document
Publikováno v:
Journal of the National Medical Association. 63(4)
Autor:
G, Ackaouy, A E, Dickerson
Publikováno v:
Journal of the National Medical Association. 63(4)
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.