| LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity C Nioche, F Orlhac, S Boughdad, S Reuzé, J Goya-Outi, C Robert, ... Cancer research 78 (16), 4786-4789, 2018 | 998 | 2018 |
| Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology EJ Limkin, R Sun, L Dercle, EI Zacharaki, C Robert, S Reuzé, ... Annals of Oncology 28 (6), 1191-1206, 2017 | 711 | 2017 |
| Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics A Carré, G Klausner, M Edjlali, M Lerousseau, J Briend-Diop, R Sun, ... Scientific reports 10 (1), 12340, 2020 | 233 | 2020 |
| Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners S Reuzé, F Orlhac, C Chargari, C Nioche, E Limkin, F Riet, A Escande, ... Oncotarget 8 (26), 43169, 2017 | 152 | 2017 |
| Radiomics in nuclear medicine applied to radiation therapy: methods, pitfalls, and challenges S Reuzé, A Schernberg, F Orlhac, R Sun, C Chargari, L Dercle, E Deutsch, ... International Journal of Radiation Oncology* Biology* Physics 102 (4), 1117-1142, 2018 | 118 | 2018 |
| The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features EJ Limkin, S Reuzé, A Carré, R Sun, A Schernberg, A Alexis, E Deutsch, ... Scientific reports 9 (1), 4329, 2019 | 100 | 2019 |
| A freeware for tumor heterogeneity characterization in PET, SPECT, CT, MRI and US to accelerate advances in radiomics C Nioche, F Orlhac, S Boughdad, S Reuze, M Soussan, C Robert, ... Journal of Nuclear Medicine 58 (supplement 1), 1316-1316, 2017 | 45 | 2017 |
| Influence of Magnetic Field Strength on Magnetic Resonance Imaging Radiomics Features in Brain Imaging, an In Vitro and In Vivo Study S Ammari, S Pitre-Champagnat, L Dercle, E Chouzenoux, S Moalla, ... Frontiers in Oncology 10, 541663, 2021 | 42 | 2021 |
| Dosimetry-driven quality measure of brain pseudo computed tomography generated from deep learning for MRI-only radiation therapy treatment planning EA Andres, L Fidon, M Vakalopoulou, M Lerousseau, A Carré, R Sun, ... International Journal of Radiation Oncology* Biology* Physics 108 (3), 813-823, 2020 | 39 | 2020 |
| A score combining baseline neutrophilia and primary tumor SUVpeak measured from FDG PET is associated with outcome in locally advanced cervical cancer A Schernberg, S Reuze, F Orlhac, I Buvat, L Dercle, R Sun, E Limkin, ... European journal of nuclear medicine and molecular imaging 45, 187-195, 2018 | 37 | 2018 |
| In Regard to Mattonen et al R Sun, F Orlhac, C Robert, S Reuzé, A Schernberg, I Buvat, E Deutsch, ... International journal of radiation oncology, biology, physics 95 (5), 1544-1545, 2016 | 27 | 2016 |
| 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 … A de Causans, A Carré, A Roux, A Tauziède-Espariat, S Ammari, ... Frontiers in Oncology 11, 638262, 2021 | 23 | 2021 |
| 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 RD Seban, C Robert, L Dercle, R Yeh, A Dunant, S Reuze, A Schernberg, ... Oncoimmunology 8 (5), e1574197, 2019 | 18 | 2019 |
| Computational medical imaging (radiomics) and potential for immuno-oncology R Sun, EJ Limkin, L Dercle, S Reuzé, EI Zacharaki, C Chargari, ... Cancer radiotherapie: journal de la Societe francaise de radiotherapie …, 2017 | 14 | 2017 |
| Imagerie médicale computationnelle (radiomique) et potentiel en immuno-oncologie R Sun, EJ Limkin, L Dercle, S Reuzé, EI Zacharaki, C Chargari, ... Cancer/Radiothérapie 21 (6-7), 648-654, 2017 | 7 | 2017 |
| Extraction et analyse de biomarqueurs issus des imageries TEP et IRM pour l'amélioration de la planification de traitement en radiothérapie S Reuzé Université Paris Saclay (COmUE), 2018 | 5 | 2018 |
| Influence of magnetic field strength on magnetic resonance imaging radiomics features in brain imaging, an S Ammari, S Pitre-Champagnat, L Dercle, E Chouzenoux, S Moalla, ... Breakthrough in Imaging-Guided Precision Medicine in Oncology, 2022 | 2 | 2022 |
| An innovative MRI harmonization method allowing large scale radiomics analysis in glioblastoma S Reuzé, F Orlhac Radiotherapy and Oncology 127, S280-S281, 2018 | 2 | 2018 |
| A radiomic signature based on advanced tumor shape parameters (Spiculated-ness) to predict the outcome of locally advanced (LA) HNSCC patients. S Reuze, E Limkin, D Ou, Y Tao, A Schernberg, E Deutsch, C Robert, ... ASCO Annual Meeting Proceedings 34 (15_suppl), 11571, 2016 | 2 | 2016 |
| Prediction of cervical cancer recurrence using textural features calculated from 18F-FDG PET images S Reuze, F Orlhac, C Nioche, C Chargari, I Buvat, E Deutsch, C Robert Journal of Nuclear Medicine 57 (supplement 2), 422-422, 2016 | 2 | 2016 |
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