P
Philippe Gervais
Researcher at Université Paris-Saclay
Publications - 23
Citations - 2338
Philippe Gervais is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 8, co-authored 14 publications receiving 1551 citations. Previous affiliations of Philippe Gervais include French Institute for Research in Computer Science and Automation & University of Paris-Sud.
Papers
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Journal ArticleDOI
Machine learning for neuroimaging with scikit-learn.
Alexandre Abraham,Alexandre Abraham,Fabian Pedregosa,Fabian Pedregosa,Michael Eickenberg,Michael Eickenberg,Philippe Gervais,Philippe Gervais,Andreas Mueller,Jean Kossaifi,Alexandre Gramfort,Alexandre Gramfort,Alexandre Gramfort,Bertrand Thirion,Bertrand Thirion,Gaël Varoquaux,Gaël Varoquaux +16 more
TL;DR: It is illustrated how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps and its application to neuroimaging data provides a versatile tool to study the brain.
Journal ArticleDOI
Early and protective microglial activation in Alzheimer's disease: a prospective study using 18F-DPA-714 PET imaging.
Lorraine Hamelin,Lorraine Hamelin,Julien Lagarde,Guillaume Dorothée,Guillaume Dorothée,Claire Leroy,Mickael Labit,Robert A. Comley,Leonardo Cruz de Souza,Hélène Corne,Luce Dauphinot,Maxime Bertoux,Maxime Bertoux,Bruno Dubois,Philippe Gervais,Olivier Colliot,Marie-Claude Potier,Michel Bottlaender,Marie Sarazin +18 more
TL;DR: Microglial activation appears at the prodromal and possibly at the preclinical stage of Alzheimer's disease, and seems to play a protective role in the clinical progression of the disease at these early stages, according to a second-generation 18-kDa translocator protein positron emission tomography radiotracer.
Posted Content
Machine Learning for Neuroimaging with Scikit-Learn
Alexandre Abraham,Fabian Pedregosa,Michael Eickenberg,Philippe Gervais,Andreas Müller,Jean Kossaifi,Alexandre Gramfort,Bertrand Thirion,Gaël Varoquaux +8 more
TL;DR: Scikit-learn as mentioned in this paper contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.
Journal ArticleDOI
Diagnostic value of combining ¹¹C-choline and ¹⁸F-FDG PET/CT in hepatocellular carcinoma.
Maria-Angéla Castilla-Lièvre,Dominique Franco,Philippe Gervais,Philippe Gervais,Bertrand Kuhnast,Bertrand Kuhnast,Hélène Agostini,Lysiane Marthey,Serge Desarnaud,Serge Desarnaud,Badia-Ourkia Helal,Badia-Ourkia Helal +11 more
TL;DR: The combined use of 11C-choline and 18F-FDG PET/CT for HCC detected HCC with high sensitivity and appears to be of potential prognostic value and may facilitate the selection of patients for surgical resection or liver transplantation.
Journal ArticleDOI
18F-FDG-PET patterns of surgical success and failure in mesial temporal lobe epilepsy.
Francine Chassoux,Eric Artiges,Franck Semah,Agathe Laurent,Elisabeth Landré,Baris Turak,Philippe Gervais,Badia-Ourkia Helal,Bertrand Devaux +8 more
TL;DR: Findings were concordant with electroclinical features reflecting the organization of the epileptogenic zone but were independent of the structural abnormalities detected on MRI.