Sylvain Reuzé

2.7k total citations · 2 hit papers
18 papers, 2.0k citations indexed

About

Sylvain Reuzé is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oncology. According to data from OpenAlex, Sylvain Reuzé has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 4 papers in Oncology. Recurrent topics in Sylvain Reuzé's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced X-ray and CT Imaging (7 papers). Sylvain Reuzé is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Medical Imaging Techniques and Applications (7 papers) and Advanced X-ray and CT Imaging (7 papers). Sylvain Reuzé collaborates with scholars based in France and United States. Sylvain Reuzé's co-authors include Charlotte Robert, Fanny Orlhac, Irène Buvat, Éric Deutsch, Roger Sun, Christophe Nioche, Laurent Dercle, Jessica Goya-Outi, Claire Pellot‐Barakat and Antoine Schernberg and has published in prestigious journals such as Cancer Research, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Sylvain Reuzé

16 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity

2018 803 citations Christophe Nioche, Fanny Orlhac et al. Cancer Research profile →
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

2017 570 citations Elaine Johanna Limkin, Roger Sun et al. Annals of Oncology profile →

Peers

Countries citing papers authored by Sylvain Reuzé

Since Specialization

Citations

This map shows the geographic impact of Sylvain Reuzé's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sylvain Reuzé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Reuzé more than expected).

Fields of papers citing papers by Sylvain Reuzé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvain Reuzé. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sylvain Reuzé. The network helps show where Sylvain Reuzé may publish in the future.

Co-authorship network of co-authors of Sylvain Reuzé

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Reuzé. A scholar is included among the top collaborators of Sylvain Reuzé based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sylvain Reuzé. Sylvain Reuzé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Data driven gating and motion correction for low-statistics PET imaging: Application to ⁹⁰Y SIRT dosimetry 2023 ·(unknown), Sylvain Reuzé, Floris Jansen, (unknown), (unknown), (unknown), Elif Hindié, F. Lamare	0
2	Performance of Conventional and Machine-Learning Approaches for the Diagnosis of Tumor Recurrence on MRI after Radiation Therapy of Brain Metastases 2021 ·(unknown), Samy Ammari, Behnam Rabiee, (unknown), (unknown), (unknown), (unknown), Corinne Balleyguier, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), M. Laurence, Elaine Johanna Limkin, S. Bockel, Mohamed Khettab, Charlotte Robert, Alexandre Carré, Sylvain Reuzé, Nathalie Lassau, (unknown), Émilie Chouzenoux, Laurent Dercle	1
3	Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study 2021 ·Frontiers in Oncology ·Samy Ammari, Stéphanie Pitre-Champagnat, Laurent Dercle, Émilie Chouzenoux, Salma Moalla, Sylvain Reuzé, Hugues Talbot, (unknown), (unknown), (unknown), Andreas Volk, (unknown), (unknown), Corinne Balleyguier, Nathalie Lassau, (unknown)	35
4	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 2021 ·Frontiers in Oncology ·(unknown), Alexandre Carré, Alexandre Roux, Arnault Tauziède‐Espariat, Samy Ammari, Edouard Dezamis, F. Dhermain, Sylvain Reuzé, Éric Deutsch, Catherine Oppenheim, Pascale Varlet, Johan Pallud, Myriam Edjlali, Charlotte Robert	18
5	Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning 2020 ·International Journal of Radiation OncologyBiologyPhysics ·Émilie Alvarez Andres, Lucas Fidon, Maria Vakalopoulou, Marvin Lerousseau, Alexandre Carré, Roger Sun, G. Klausner, Samy Ammari, (unknown), Sylvain Reuzé, Théo Estienne, Stéphane Niyoteka, Enzo Battistella, (unknown), G. Noël, A. Beaudré, F. Dhermain, Éric Deutsch, Nikos Paragios, Charlotte Robert	27
6	Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics 2020 ·Scientific Reports ·Alexandre Carré, G. Klausner, Myriam Edjlali, Marvin Lerousseau, (unknown), Roger Sun, Samy Ammari, Sylvain Reuzé, Émilie Alvarez Andres, Théo Estienne, Stéphane Niyoteka, Enzo Battistella, Maria Vakalopoulou, F. Dhermain, Nikos Paragios, Éric Deutsch, Catherine Oppenheim, Johan Pallud, Charlotte Robert	164
7	PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics 2020 ·Radiotherapy and Oncology ·Alexandre Carré, G. Klausner, Myriam Edjlali, Marvin Lerousseau, (unknown), Ran Sun, Samy Ammari, Sylvain Reuzé, (unknown), Théo Estienne, Stéphane Niyoteka, Enzo Battistella, Maria Vakalopoulou, F. Dhermain, Nikos Paragios, Ellen S. Deutsch, Catherine Oppenheim, Johan Pallud, (unknown)	1
8	The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features 2019 ·Scientific Reports ·Elaine Johanna Limkin, Sylvain Reuzé, Alexandre Carré, Roger Sun, Antoine Schernberg, (unknown), Éric Deutsch, Charles Ferté, Charlotte Robert	78
9	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 2019 ·OncoImmunology ·Romain‐David Seban, Charlotte Robert, Laurent Dercle, Randy Yeh, Ariane Dunant, Sylvain Reuzé, Antoine Schernberg, Roger Sun, (unknown), M. Terroir, Martin Schlumberger, Christine Haie-Méder, Cyrus Chargari, Éric Deutsch	18
10	LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity breakdown → 2018 ·Cancer Research ·Christophe Nioche, Fanny Orlhac, Sarah Boughdad, Sylvain Reuzé, Jessica Goya-Outi, Charlotte Robert, Claire Pellot‐Barakat, Michaël Soussan, Frédérique Frouin, Irène Buvat	803
11	PV-0528: An innovative MRI harmonization method allowing large scale radiomics analysis in glioblastoma 2018 ·Radiotherapy and Oncology ·Sylvain Reuzé, (unknown), Roger Sun, Fanny Orlhac, G. Louvel, Samy Ammari, Éric Deutsch, (unknown)	2
12	Radiomics in Nuclear Medicine Applied to Radiation Therapy: Methods, Pitfalls, and Challenges 2018 ·International Journal of Radiation OncologyBiologyPhysics ·Sylvain Reuzé, Antoine Schernberg, Fanny Orlhac, Roger Sun, Cyrus Chargari, Laurent Dercle, Éric Deutsch, Irène Buvat, Charlotte Robert	86
13	A score combining baseline neutrophilia and primary tumor SUVpeak measured from FDG PET is associated with outcome in locally advanced cervical cancer 2017 ·European Journal of Nuclear Medicine and Molecular Imaging ·Antoine Schernberg, Sylvain Reuzé, Fanny Orlhac, Irène Buvat, Laurent Dercle, Roger Sun, Elaine Johanna Limkin, Alexandre Escande, Christine Haie-Méder, Éric Deutsch, Cyrus Chargari, Charlotte Robert	31
14	Imagerie médicale computationnelle (radiomique) et potentiel en immuno-oncologie 2017 ·Cancer/Radiothérapie ·Roger Sun, Elaine Johanna Limkin, Laurent Dercle, Sylvain Reuzé, Evangelia I. Zacharaki, Cyrus Chargari, Antoine Schernberg, (unknown), Alain Alexis, Nikos Paragios, Éric Deutsch, Charles Ferté, Charlotte Robert	15
15	Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology breakdown → 2017 ·Annals of Oncology ·Elaine Johanna Limkin, Roger Sun, Laurent Dercle, Evangelia I. Zacharaki, Charlotte Robert, Sylvain Reuzé, Antoine Schernberg, Nikos Paragios, Éric Deutsch, Charles Ferté	570
16	A Score Combining SUV peak of the Primary Tumor Computed on Pretreatment FDG-PET Scans and Neutrophilia Predicts Outcome in Locally Advanced Cervical Cancer 2017 ·International Journal of Radiation OncologyBiologyPhysics ·Antoine Schernberg, Sylvain Reuzé, Charlotte Robert, Roger Sun, Elaine Johanna Limkin, Irène Buvat, Fanny Orlhac, Laurent Dercle, Alexandre Escande, Christine Haie-Méder, Éric Deutsch, Cyrus Chargari	0
17	Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners 2017 ·Oncotarget ·Sylvain Reuzé, Fanny Orlhac, Cyrus Chargari, Christophe Nioche, Elaine Johanna Limkin, (unknown), Alexandre Escande, Christine Haie-Méder, Laurent Dercle, Sébastien Gouy, Irène Buvat, Éric Deutsch, Charlotte Robert	101
18	Prediction of cervical cancer recurrence using textural features calculated from 18F-FDG PET images 2016 ·Sylvain Reuzé, Fanny Orlhac, Christophe Nioche, Cyrus Chargari, Irène Buvat, Éric Deutsch, Charlotte Robert	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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