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Sylvain Reuzé
Researcher at Institut Gustave Roussy
Publications - 19
Citations - 1566
Sylvain Reuzé is an academic researcher from Institut Gustave Roussy. The author has contributed to research in topics: Cervical cancer & Medical imaging. The author has an hindex of 10, co-authored 18 publications receiving 916 citations. Previous affiliations of Sylvain Reuzé include Université Paris-Saclay & University of Paris-Sud.
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Journal ArticleDOI
LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity.
Christophe Nioche,Fanny Orlhac,Sarah Boughdad,Sylvain Reuzé,Jessica Goya-Outi,Charlotte Robert,Claire Pellot-Barakat,Michael Soussan,Frédérique Frouin,Irène Buvat +9 more
TL;DR: A user-friendly, multi-platform freeware which enables the calculation of conventional, histogram-based, textural, and shape features from PET, SPECT, MR, CT, and US images, or from any combination of imaging modalities called LIFEx is presented.
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Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.
Elaine Johanna Limkin,Roger Sun,Roger Sun,Laurent Dercle,Evangelia I. Zacharaki,Charlotte Robert,Charlotte Robert,Sylvain Reuzé,Sylvain Reuzé,Antoine Schernberg,Antoine Schernberg,Nikos Paragios,Eric Deutsch,Charles Ferté +13 more
TL;DR: This Review addresses the critical issues to ensure the proper development of radiomics as a biomarker and facilitate its implementation in clinical practice.
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Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics.
A. Carré,G. Klausner,Myriam Edjlali,Marvin Lerousseau,Jade Briend-Diop,Roger Sun,Samy Ammari,Sylvain Reuzé,Emilie Alvarez Andres,Théo Estienne,Stéphane Niyoteka,Enzo Battistella,Maria Vakalopoulou,Frédéric Dhermain,Nikos Paragios,Eric Deutsch,Catherine Oppenheim,Johan Pallud,Charlotte Robert +18 more
TL;DR: Three different intensity normalization methods typically used in MRI together with two methods for intensity discretization were evaluated, establishing a unified methodology for future radiomics studies and improving the robustness of first-order features and the performances of subsequent classification models.
Journal ArticleDOI
Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners.
Sylvain Reuzé,Fanny Orlhac,Fanny Orlhac,Cyrus Chargari,Christophe Nioche,Elaine Johanna Limkin,François Riet,Alexandre Escande,C. Haie-Meder,Laurent Dercle,Sebastien Gouy,Irène Buvat,Eric Deutsch,Eric Deutsch,Charlotte Robert +14 more
TL;DR: Radiomic features could predict local recurrence of LACC better than SUVmax, and a model designed using data from one PET scanner to another was proposed.
Journal ArticleDOI
Radiomics in Nuclear Medicine Applied to Radiation Therapy: Methods, Pitfalls, and Challenges.
Sylvain Reuzé,Antoine Schernberg,Fanny Orlhac,Roger Sun,Cyrus Chargari,Laurent Dercle,Eric Deutsch,Irène Buvat,Charlotte Robert,Charlotte Robert +9 more
TL;DR: The potential impact of positron emission tomography radiomics for radiation therapy is explained and the various aspects that need to be carefully addressed are underline to make the most of this promising approach.