Sylvain Reuzé

Institut Gustave Roussy — France

Medicine · Health Sciences

13h-index2.7kcitations46works0.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(40), Medical Imaging Techniques and Applications(17), Advanced X-ray and CT Imaging(14), MRI in cancer diagnosis(8), Lung Cancer Diagnosis and Treatment(6)

Publications46 total

Data driven gating and motion correction for low-statistics PET imaging: Application to <sup>90</sup>Y SIRT dosimetry
2023· 1 cited
Prediction of brain metastases progression and overall survival in patients with metastatic non-small cell lung cancer treated by immune checkpoint inhibitors using a radiomic model.
Journal of Clinical Oncology·2023
Table S2 from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Table S1 from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Data from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023· 1 citedOpen Access
Table S1 from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Demonstration of the use of LIFEx for radiomic feature extraction from a PET/MR scan from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Demonstration of the use of LIFEx for radiomic feature extraction from a PET/MR scan from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Figure S1 from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Table S2 from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Data from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Figure S1 from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
2023Open Access
Performance of Conventional and Machine-Learning Approaches for the Diagnosis of Tumor Recurrence on MRI after Radiation Therapy of Brain Metastases
Austin Journal of Radiology·2021· 1 citedOpen Access
Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis
Frontiers in Oncology·2021· 22 citedOpen Access
Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study
Frontiers in Oncology·2021· 62 citedOpen Access
PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics
Radiotherapy and Oncology·2020· 1 cited
Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics
Scientific Reports·2020· 251 citedOpen Access
Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning
International Journal of Radiation Oncology*Biology*Physics·2020· 38 cited
The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features
Scientific Reports·2019· 105 citedOpen Access
Increased bone marrow SUVmax on 18F-FDG PET is associated with higher pelvic treatment failure in patients with cervical cancer treated by chemoradiotherapy and brachytherapy
OncoImmunology·2019· 19 citedOpen Access
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Frequent Co-authors

Fanny Orlhac(24), Éric Deutsch(23), Irène Buvat(20), Charlotte Robert(18), Roger Sun(17), Laurent Dercle(16), Caroline Robert(16), Christophe Nioche(14), Antoine Schernberg(14), Samy Ammari(13), Cyrus Chargari(12), Sarah Boughdad(11), Jessica Goya-Outi(11), Claire Pellot‐Barakat(11), Michaël Soussan(11), Frédérique Frouin(11), Elaine Johanna Limkin(11), Charles Ferté(7), Alexandre Carré(7), Alexandre Escande(7)