17 publications, sorted reverse-chronologically.

A strategy for multimodal integration of transcriptomics, proteomics, and radiomics data for the prediction of recurrence in patients with IDH-mutant gliomas
T. Chouleur, C. Etchegaray, L. Villain, A. Lesur, T. Ferté, M. Rossi, ..., O. Saut, L. Bello, A. Bikfalvi
International Journal of Cancer, 157(3):573–587 (2025)
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Deep Learning Can Accurately Predict the Prognosis of Gynecologic Smooth Muscle Tumors of Uncertain Malignant Potential: A Multicenter Pilot Study
J. Costa, V.L. Le, A. De Leo, ..., F. Le Loarer, O. Saut, S. Croce
Laboratory Investigation, 105(10):104211 (2025)
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Leveraging Deep Learning for Immune Cell Quantification and Prognostic Evaluation in Radiotherapy-Treated Oropharyngeal Squamous Cell Carcinomas
F. Beltzung, V.L. Le, I. Molnar, ..., O. Saut, J. Biau, F. Penault-Llorca, E. Chautard
Laboratory Investigation, 105(4):104094 (2025)
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Prognostic prediction in soft-tissue sarcomas using deep learning and digital pathology of tumor and margin areas
A. Michot, V.L. Le, J.-M. Coindre, ..., F. Le Loarer, O. Saut, A. Crombé
Scientific Reports, 15(1):38534 (2025)
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Differentiation of Small Clear Renal Cell Carcinoma and Oncocytoma through Magnetic Resonance Imaging-Based Radiomics Analysis
T. Toffoli, O. Saut, C. Etchegaray, E. Jambon, Y. Le Bras, N. Grenier, C. Marcelin
Journal of Personalized Medicine, 13(10):1444 (2023)
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Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19
M. Zysman, J. Asselineau, O. Saut, ..., F. Laurent, I. Benlala
European Radiology, 33(12):9262–9274 (2023)
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Comparison of MRI-based response criteria and radiomics for the prediction of early response to transarterial radioembolization in patients with hepatocellular carcinoma
G. Aujay, C. Etchegaray, J.F. Blanc, B. Lapuyade, P. Papadopoulos, M.A. Pey, L. Bordenave, H. Trillaud, O. Saut, J.B. Pinaquy
Diagnostic and Interventional Imaging, 103(7–8):360–366 (2022)
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MRI-Based Radiomics Input for Prediction of 2-Year Disease Recurrence in Anal Squamous Cell Carcinoma
N. Giraud, O. Saut, T. Aparicio, ..., V. Vendrely
Cancers, 13(2):193 (2021)
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Improved 18-FDG PET/CT diagnosis of multiple myeloma diffuse disease by radiomics analysis
C. Mesguich, E. Hindie, B.D. de Senneville, G. Tlili, J.B. Pinaquy, G. Marit, O. Saut
Nuclear Medicine Communications (2021)

Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients
A. Crombé, M. Kind, D. Fadli, F. Le Loarer, A. Italiano, X. Buy, O. Saut
Scientific Reports, 10(1) (2020)
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Systematic Review of Sarcomas Radiomics Studies: Bridging the Gap between Concepts and Clinical Applications?
A. Crombé, D. Fadli, A. Italiano, O. Saut, X. Buy, M. Kind
European Journal of Radiology, 109283 (2020)

Radiomics and Machine Learning in Anal Squamous Cell Carcinoma: A New Step for Personalized Medicine?
N. Giraud, P. Sargos, N. Leduc, O. Saut, T. Vuong, V. Vendrely
Applied Sciences, 10(6):1988 (2020)

High-grade soft-tissue sarcomas: Can optimizing dynamic contrast-enhanced MRI postprocessing improve prognostic radiomics models?
A. Crombé, D. Fadli, X. Buy, A. Italiano, O. Saut, M. Kind
Journal of Magnetic Resonance Imaging (2020)

Machine learning and mechanistic modeling for prediction of metastatic relapse in early-stage breast cancer
C. Nicolò, C. Périer, M. Prague, C. Bellera, G. MacGrogan, O. Saut, et al.
JCO Clinical Cancer Informatics, 4:259–274 (2020)
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Influence of temporal parameters of DCE-MRI on the quantification of heterogeneity in tumor vascularization
A. Crombé, O. Saut, J. Guigui, A. Italiano, X. Buy, M. Kind
Journal of Magnetic Resonance Imaging (2019)
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T2-based MRI Delta-radiomics improve response prediction in soft-tissue sarcomas treated by neoadjuvant chemotherapy
A. Crombé, C. Périer, M. Kind, B. Denis de Senneville, F. Le Loarer, A. Italiano, X. Buy, O. Saut
Journal of Magnetic Resonance Imaging (2019)
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Analyse de textures des cancers pancréatiques avant et après chimioradiothérapie : nouveau paramètre prédictif ?
C. Pouypoudat, C. Périer, O. Saut, E. Buscail, C. Cassinotto, E. Terrebonne, V. Vendrely
Cancer/Radiothérapie, 21(6–7) (2017)