Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer von Bourbonne, V., Da-ano, R., Jaouen, V., Lucia, F., Dissaux, G., Bert, J., Pradier, O., Visvikis, D., Hatt, M., Schick, U.

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Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images von Sellami, S., Bourbonne, V., Hatt, M., Tixier, F., Bouzid, D., Lucia, F., Pradier, O., Goasduff, G., Visvikis, D., Schick, U.

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Integration of functional imaging in brachytherapy von Lucia, F., Miranda, O., Bourbonne, V., Martin, E., Pradier, O., Schick, U.

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Patient positioning in radiotherapy based on surface imaging using time of flight cameras von Gilles, M., Fayad, H., Miglierini, P., Clement, J. F., Scheib, S., Cozzi, L., Bert, J., Boussion, N., Schick, U., Pradier, O., Visvikis, D.

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Radiotherapy modification based on artificial intelligence and radiomics applied to (18F)-fluorodeoxyglucose positron emission tomography/computed tomography von Lucia, F., Lovinfosse, P., Schick, U., Le Pennec, R., Pradier, O., Salaun, P.-Y., Hustinx, R., Bourbonne, V.

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Use of radiomics in the radiation oncology setting: Where do we stand and what do we need? von Schick, U., Lucia, F., Bourbonne, V., Dissaux, G., Pradier, O., Jaouen, V., Tixier, F., Visvikis, D., Hatt, M.

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Radiotherapy for head and neck squamous cell carcinoma: State of the art and future directions von Schick, U, Huguet, F, Pointreau, Y, Pradier, O

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Kilovoltage intrafraction monitoring during normofractionated prostate cancer radiotherapy von Chasseray, M., Dissaux, G., Lucia, F., Boussion, N., Goasduff, G., Pradier, O., Bourbonne, V., Schick, U.

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Platelet function in sepsis von YAGUCHI, A., LOBO, F. L. M., VINCENT, J‐L., PRADIER, O.

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Efficacy of selective neck dissection: A review of 503 cases of elective and therapeutic treatment of the neck in squamous cell carcinoma of the upper aerodigestive tract von Ambrosch, Petra, Kron, Martina, Pradier, O., Steiner, W.

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Accuracy of dynamic patient surface monitoring using a time-of-flight camera and B-spline modeling for respiratory motion characterization von Wentz, T, Fayad, H, Bert, J, Pradier, O, Clement, J F, Vourch, S, Boussion, N, Visvikis, D

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Establishing margins from CTV to PTV in breast cancer treatment von Cabanne, A, Schick, U, Pradier, O, Rivera, S

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OC-0568: Necessity of using an image modality to improve IORT dosimetry von Bouzid, D, Boussion, N, Dupré, P.F, Pradier, O, Miglierini, P, Visvikis, D

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EP-1664: Should organs at risk respiratory induced motion be considered during tumor tracking in radiotherapy? von Gilles, M, Boussion, N, Pradier, O, Visvikis, D, Fayad, H

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SU‐C‐500‐03: GGEMS‐Brachy: Fully GPU Geant4‐Based Efficient Monte Carlo Simulation for Brachytherapy Applications von Lemarechal, Y, Bert, J, Boussion, N, Pradier, O, Visvikis, D

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SU‐E‐J‐44: Imaging and Radiation Therapy: GATE Monte Carlo Simulation of a MV‐CBCT Flat Panel with Specific Application in Head and Neck Cancer von Benhalouche, S, Bert, J, Visvikis, D, Pradier, O, Nicolas, B

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SU‐E‐J‐181: Imaging and Radiation Therapy: GATE Monte Carlo Simulation of a MV‐CBCT Flat Panel with Specific Application in Head and Neck Cancer von Benhalouche, S, Bert, J, Visvikis, D, Pradier, O, Nicolas, B

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Does the platelet function analyser (PFA-100®) predict blood loss after cardiopulmonary bypass? von Fattorutto, M., Pradier, O., Schmartz, D., Ickx, B., Barvais, L.

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SU‐E‐T‐507: Dosimetric Validation of An IntrabeamTM GATE Model, Based On Monte Carlo GEANT4 Toolkit, for IORT Applications von Bouzid, D, Visvikis, D, Dupre, P, Bert, J, Pradier, O, Nicolas, B

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SU‐E‐T‐472: Personalized 3D Dose Prediction for Intrabeam Treatments Based On Patient CT Imaging with Monte Carlo GATE Simulations von Bouzid, D, Nicolas, B, Dupre, P, Bert, J, Pradier, O, Visvikis, D

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