Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology von Limkin, E.J., Sun, R., Dercle, L., Zacharaki, E.I., Robert, C., Reuzé, S., Schernberg, A., Paragios, N., Deutsch, E., Ferté, C.

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PV-0528: An innovative MRI harmonization method allowing large scale radiomics analysis in glioblastoma von Reuzé, S., Dirand, A.S., Sun, R., Orlhac, F., Louvel, G., Ammari, S., Deutsch, E., Robert, C.

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PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics von Carré, A., Klausner, G., Edjlali, M., Lerousseau, M., Briend-Diop, J., Sun, R., Ammari, S., Reuzé, S., Alvarez-Andres, E., Estienne, T., Niyoteka, S., Battistella, E., Vakalopoulou, M., Dhermain, F., Paragios, N., Deutsch, E., Oppenheim, C., Pallud, J., Robert, C.

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EP-1993: Evaluation of the pertinence of CT-based radiomics shape features with 3D printed phantoms von Limkin, E.J., Reuzé, S., Sun, R., Schernberg, A., Alexis, A., Dirand, A., Deutsch, E., Ferté, C., Robert, C.

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EP-2100: Development of a filter-based method for multicenter PET image harmonization in radiomic studies von Reuzé, S., Orlhac, F., Ricard, M., Vallot, D., Ksouri, W., Laprie, A., Dercle, L., Deutsch, E., Robert, C.

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PO-0807: Diversity of PET imaging biomarkers predicting cervical cancer treatment outcome: where do we stand? von Reuzé, S., Chargari, C., Schernberg, A., Seban, R.D., Alexis, A., Bockel, S., Berthelot, K., Escande, A., Dercle, L., Haie-Meder, C., Deutsch, E., Robert, C.

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OC-0075: A MRI radiomic signature for predicting brachytherapy outcomes in locally advanced cervical cancer von Reuzé, S., Alexis, A., Chargari, C., Bockel, S., Berthelot, K., Escande, A., Dumas, I., Orlhac, F., Haie-Meder, C., Deutsch, E., Robert, C.

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Computational medical imaging (radiomics) and potential for immuno-oncology von Sun, R, Limkin, E J, Dercle, L, Reuzé, S, Zacharaki, E I, Chargari, C, Schernberg, A, Dirand, A S, Alexis, A, Paragios, N, Deutsch, É, Ferté, C, Robert, C

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EP-1692: Multi-device textural analysis on 18F-FDG PET images for predicting cervical cancer recurrence von Reuzé, S., Orlhac, F., Chargari, C., Nioche, C., Riet, F., Escande, A., Haie-Meder, C., Dercle, L., Buvat, I., Deutsch, E., Robert, C.

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A novel radiomic based imaging tool to monitor tumor lymphocyte infiltration and outcome of patients treated by anti-PD-1/PD-L1 von Sun, R., Limkin, E.J., Dercle, L., Champiat, S., Reuzé, S., Brandao, D., Verlingue, L., Ammari, S., Aspeslagh, S., Schernberg, A., Postel-Vinay, S., Hollebecque, A., Massard, C., Marabelle, A., Robert, C., Soria, J.-C., Deutsch, E., Ferté, C.

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27. Harmonization of 18F-FDG PET images for multicenter radiomic studies von Reuzé, S., Orlhac, F., Ricard, M., Ksouri, W., Dercle, L., Buvat, I., Deutsch, E., Robert, C.

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Imagerie médicale computationnelle (radiomique) et potentiel en immuno-oncologie von Sun, R., Limkin, E.J., Dercle, L., Reuzé, S., Zacharaki, E.I., Chargari, C., Schernberg, A., Dirand, A.S., Alexis, A., Paragios, N., Deutsch, É., Ferté, C., Robert, C.

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PO-0628: Correlation between 18F-FDOPA uptake and tumor relapse in recurrent high-grade gliomas von Chabert, I., Dhermain, F., Bibard, S., Reuze, S., Schernberg, A., Orlhac, F., Buvat, I., Deutsch, E., Robert, C.

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A Score Combining SUVpeak of the Primary Tumor Computed on Pretreatment FDG-PET Scans and Neutrophilia Predicts Outcome in Locally Advanced Cervical Cancer von Schernberg, A., Reuze, S., Robert, C., SUN, R., Limkin, E., Buvat, I., Orlhac, F., Dercle, L., Escande, A., Haie-Meder, C., Deutsch, E., Chargari, C.

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A Score Combining SUV peak of the Primary Tumor Computed on Pretreatment FDG-PET Scans and Neutrophilia Predicts Outcome in Locally Advanced Cervical Cancer von Schernberg, A., Reuze, S., Robert, C., SUN, R., Limkin, E., Buvat, I., Orlhac, F., Dercle, L., Escande, A., Haie-Meder, C., Deutsch, E., Chargari, C.

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OC-0394: Pretreatment bone marrow SUVmax in locally advanced cervical cancer: a novel prognostic biomarker? von Seban, R.D., Robert, C., Dercle, L., Yeh, R., Reuze, S., Schernberg, A., Lumbroso, J., Schlumberger, M., Haie-Meder, C., Chargari, C., Deutsch, E.

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An advanced tumor shape radiomic signature predicts recurrence of locally advanced (LA) HNSCC patients (pts) von Limkin, E.J.C., Schernberg, A., Reuze, S., Behar, L., Ou, D., Tao, Y.G., Deutsch, E., Robert, C., Ferte, C.

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Automatisation du traitement des images acquises pour la détermination des sites de séquestration des plaquettes von Fiedler, A., Reuze, S., Bourhis, D., Blanc-Beguin, F., Salaun, P.Y.

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Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics von Carré, Alexandre, Klausner, Guillaume, Edjlali, Myriam, Lerousseau, Marvin, Briend-Diop, Jade, Sun, Roger, Ammari, Samy, Reuzé, Sylvain, Alvarez Andres, Emilie, Estienne, Théo, Niyoteka, Stéphane, Battistella, Enzo, Vakalopoulou, Maria, Dhermain, Frédéric, Paragios, Nikos, Deutsch, Eric, Oppenheim, Catherine, Pallud, Johan, Robert, Charlotte

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LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity von Nioche, Christophe, Orlhac, Fanny, Boughdad, Sarah, Reuzé, Sylvain, Goya-Outi, Jessica, Robert, Charlotte, Pellot-Barakat, Claire, Soussan, Michael, Frouin, Frédérique, Buvat, Irène

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