Follow
Fanny Orlhac
Fanny Orlhac
LITO, Inserm, Institut Curie
Verified email at inserm.fr
Title
Cited by
Cited by
Year
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
22882020
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
8122018
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
3952014
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
3192018
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
2972019
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
1712014
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
1482015
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
1392017
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
1392017
Tumor texture analysis in PET: where do we stand?
I Buvat, F Orlhac, M Soussan
Journal of Nuclear Medicine 56 (11), 1642-1644, 2015
1202015
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
1152022
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
1142021
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
1132017
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
1012018
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
772023
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
762016
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
732019
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
532018
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
482021
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
432017
The system can't perform the operation now. Try again later.
Articles 1–20