Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Fontanella, Sabrina"'
Autor:
Routier, Alexandre, Burgos, Ninon, Díaz, Mauricio, Bacci, Michael, Bottani, Simona, El-Rifai, Omar, Fontanella, Sabrina, Gori, Pietro, Guillon, Jérémy, Guyot, Alexis, Hassanaly, Ravi, Jacquemont, Thomas, Lu, Pascal, Marcoux, Arnaud, Moreau, Tristan, Samper-González, Jorge, Teichmann, Marc, Thibeau--Sutre, Elina, Vaillant, Ghislain, Wen, Junhao, Wild, Adam, Habert, Marie-Odile, Durrleman, Stanley, Colliot, Olivier
We present Clinica (www.clinica.run), an open-source software platform designed to make clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to i) spend less time on data management and processing, ii) perform repr
Externí odkaz:
http://arxiv.org/abs/2107.10256
Autor:
Wen, Junhao, Samper-Gonzalez, Jorge, Bottani, Simona, Routier, Alexandre, Burgos, Ninon, Jacquemont, Thomas, Fontanella, Sabrina, Durrleman, Stanley, Epelbaum, Stephane, Bertrand, Anne, Colliot, Olivier
Diffusion MRI is the modality of choice to study alterations of white matter. In past years, various works have used diffusion MRI for automatic classification of AD. However, classification performance obtained with different approaches is difficult
Externí odkaz:
http://arxiv.org/abs/1812.11183
Autor:
Samper-González, Jorge, Burgos, Ninon, Bottani, Simona, Fontanella, Sabrina, Lu, Pascal, Marcoux, Arnaud, Routier, Alexandre, Guillon, Jérémy, Bacci, Michael, Wen, Junhao, Bertrand, Anne, Bertin, Hugo, Habert, Marie-Odile, Durrleman, Stanley, Evgeniou, Theodoros, Colliot, Olivier
A large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of AD. However, they are difficult to reproduce because key components of the validation are often not readily available. Thes
Externí odkaz:
http://arxiv.org/abs/1808.06452
Autor:
Samper-González, Jorge, Burgos, Ninon, Fontanella, Sabrina, Bertin, Hugo, Habert, Marie-Odile, Durrleman, Stanley, Evgeniou, Theodoros, Colliot, Olivier
Publikováno v:
Proc. Machine Learning in Medical Imaging MLMI 2017, MICCAI Worskhop, Lecture Notes in Computer Science, volume 10541, pp 53-60, Springer
In recent years, the number of papers on Alzheimer's disease classification has increased dramatically, generating interesting methodological ideas on the use machine learning and feature extraction methods. However, practical impact is much more lim
Externí odkaz:
http://arxiv.org/abs/1709.07267
Akademický článek
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Autor:
Routier, Alexandre, Burgos, Ninon, Guillon, Jérémy, Samper-González, Jorge, Wen, Junhao, Bottani, Simona, Marcoux, Arnaud, Bacci, Michael, Fontanella, Sabrina, Jacquemont, Thomas, Wild, Adam, Gori, Pietro, Guyot, Alexis, Lu, Pascal, Díaz, Mauricio, Thibeau--Sutre, Elina, Moreau, Tristan, Teichmann, Marc, Habert, Marie-Odile, Durrleman, Stanley, Colliot, Olivier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9cd8f5278b7f9f6d5aa2cf4153825a13
https://hal.inria.fr/hal-02308126
https://hal.inria.fr/hal-02308126
Autor:
Bertrand, Anne, Wen, Junhao, Rinaldi, Daisy, Houot, Marion, Sayah, Sabrina, Camuzat, Agnès, Fournier, Clémence, Fontanella, Sabrina, Routier, Alexandre, Couratier, Philippe, Pasquier, Florence, Habert, Marie-Odile, Hannequin, Didier, Martinaud, Olivier, Caroppo, Paola, Levy, Richard, Dubois, Bruno, Brice, Alexis, Durrleman, Stanley, Colliot, Olivier, Le Ber, Isabelle, Study, Prevdemals
Publikováno v:
JAMA neurology
JAMA neurology, 2018, 75 (2), pp.236-245. ⟨10.1001/jamaneurol.2017.4266⟩
JAMA neurology, American Medical Association, 2018, 75 (2), pp.236-245. ⟨10.1001/jamaneurol.2017.4266⟩
JAMA neurology, American Medical Association (imprimé) / 2018, 75 (2), pp.236-245. ⟨10.1001/jamaneurol.2017.4266⟩
JAMA neurology, 2018, 75 (2), pp.236-245. ⟨10.1001/jamaneurol.2017.4266⟩
JAMA neurology, American Medical Association, 2018, 75 (2), pp.236-245. ⟨10.1001/jamaneurol.2017.4266⟩
JAMA neurology, American Medical Association (imprimé) / 2018, 75 (2), pp.236-245. ⟨10.1001/jamaneurol.2017.4266⟩
International audience; Importance Presymptomatic carriers of chromosome 9 open reading frame 72 (C9orf72) mutation, the most frequent genetic cause of frontotemporal lobar degeneration and amyotrophic lateral sclerosis, represent the optimal target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::162bc841e15622b932451768229dea70
https://hal.inria.fr/hal-01654000/document
https://hal.inria.fr/hal-01654000/document
Autor:
Wen, Junhao, Samper-González, Jorge, Bottani, Simona, Routier, Alexandre, Burgos, Ninon, Jacquemont, Thomas, Fontanella, Sabrina, Durrleman, Stanley, Epelbaum, Stéphane, Bertrand, Anne, Colliot, Olivier
Publikováno v:
NeuroInformatics; 2021, Vol. 19 Issue 1, p57-78, 22p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Wen, Junhao, Samper-González, Jorge, Bottani, Simona, Routier, Alexandre, Burgos, Ninon, Jacquemont, Thomas, Fontanella, Sabrina, Durrleman, Stanley, Bertrand, Anne, Colliot, Olivier
Publikováno v:
In Alzheimer's & Dementia: The Journal of the Alzheimer's Association July 2018 14(7) Supplement:P97-P98