| The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020 | 2716 | 2020 |
| 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 | 924 | 2018 |
| Tumor texture analysis in 18F-FDG PET: relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis F Orlhac, M Soussan, JA Maisonobe, CA Garcia, B Vanderlinden, I Buvat Journal of Nuclear Medicine 55 (3), 414-422, 2014 | 409 | 2014 |
| A Postreconstruction Harmonization Method for Multicenter Radiomic Studies in PET F Orlhac, S Boughdad, C Philippe, H Stalla-Bourdillon, C Nioche, ... Journal of Nuclear Medicine 59 (8), 1321-1328, 2018 | 350 | 2018 |
| Validation of a method to compensate multicenter effects affecting CT Radiomics F Orlhac, F Frouin, C Nioche, N Ayache, I Buvat Radiology 291 (1), 53-59, 2019 | 322 | 2019 |
| Relationship between tumor heterogeneity measured on FDG-PET/CT and pathological prognostic factors in invasive breast cancer M Soussan, F Orlhac, M Boubaya, L Zelek, M Ziol, V Eder, I Buvat PloS one 9 (4), e94017, 2014 | 177 | 2014 |
| A guide to ComBat harmonization of imaging biomarkers in multicenter studies F Orlhac, JJ Eertink, AS Cottereau, JM Zijlstra, C Thieblemont, M Meignan, ... Journal of Nuclear Medicine 63 (2), 172-179, 2022 | 162 | 2022 |
| 18F-FDG PET-derived textural indices reflect tissue-specific uptake pattern in non-small cell lung cancer F Orlhac, M Soussan, K Chouahnia, E Martinod, I Buvat PLoS One 10 (12), e0145063, 2015 | 153 | 2015 |
| 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 | 146 | 2017 |
| 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 | 146 | 2017 |
| CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII B Kocak, B Baessler, S Bakas, R Cuocolo, A Fedorov, L Maier-Hein, ... Insights into imaging 14 (1), 75, 2023 | 144 | 2023 |
| How can we combat multicenter variability in MR radiomics? Validation of a correction procedure F Orlhac, A Lecler, J Savatovski, J Goya-Outi, C Nioche, F Charbonneau, ... European radiology 31, 2272-2280, 2021 | 141 | 2021 |
| Tumor texture analysis in PET: where do we stand? I Buvat, F Orlhac, M Soussan Journal of Nuclear Medicine 56 (11), 1642-1644, 2015 | 124 | 2015 |
| Understanding changes in tumor texture indices in PET: a comparison between visual assessment and index values in simulated and patient data F Orlhac, C Nioche, M Soussan, I Buvat Journal of Nuclear Medicine 58 (3), 387-392, 2017 | 122 | 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 | 107 | 2018 |
| Multiscale texture analysis: from 18F-FDG PET images to histologic images F Orlhac, B Thézé, M Soussan, R Boisgard, I Buvat Journal of Nuclear Medicine 57 (11), 1823-1828, 2016 | 80 | 2016 |
| The Dark Side of Radiomics: On the Paramount Importance of Publishing Negative Results I Buvat, F Orlhac Journal of Nuclear Medicine 60 (11), 1543-1544, 2019 | 77 | 2019 |
| Can we trust the calculation of texture indices of CT images? A phantom study C Caramella, A Allorant, F Orlhac, F Bidault, B Asselain, S Ammari, ... Medical physics 45 (4), 1529-1536, 2018 | 56 | 2018 |
| Radiomics in PET Imaging:: A Practical Guide for Newcomers F Orlhac, C Nioche, I Klyuzhin, A Rahmim, I Buvat PET Clinics 16 (4), 597-612, 2021 | 54 | 2021 |
| METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII B Kocak, T Akinci D’Antonoli, N Mercaldo, A Alberich-Bayarri, B Baessler, ... Insights into imaging 15 (1), 8, 2024 | 52 | 2024 |
Irène BuvatCNRSVerified email at curie.fr
