Articles dans des revues avec comité de lecture (31)
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Brou Boni, K., Klein, J. J., Gulyban, A., Reynaert, N., & Pasquier, D. (2021). Improving generalization in MR-to-CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data. Medical physics, 48(6), 3003-3010. doi:10.1002/mp.1486614.
Kry, S. S., Lye, J., Clark, C. C., Andratschke, N., Dimitriadis, A., Followill, D., Howell, R., Hussein, M., Ishikawa, M., Kito, S., Kron, T., Lee, J., Michalski, J., Filippo Monti, A., Reynaert, N., Taylor, P., Venables, K., Xiao, Y., & Lehmann, J. (2021). Report dose-to-medium in clinical trials where available; a consensus from the Global Harmonisation Group to maximize consistency. Radiotherapy and oncology, 159, 106-111. doi:10.1016/j.radonc.2021.03.00615.
Cusumano, D., Boldrini, L., Dhont, J., Fiorino, C., Green, O., Güngör, G., Jornet, N., Klüter, S., Landry, G., Mattiucci, G. C., Placidi, L., Reynaert, N., Ruggieri, R., Tanadini-Lang, S., Thorwarth, D., Yadav, P., Yang, Y., Valentini, V., Verellen, D., & Indovina, L. (2021). Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives. Physica medica, 85, 175-191. doi:10.1016/j.ejmp.2021.05.01016.
Alhamada, H., Simon, S., Gulyban, A., Gastelblum, P., Pauly, N., Van Gestel, D., & Reynaert, N. (2021). Monte Carlo as quality control tool of stereotactic body radiation therapy treatment plans. Physica medica. doi:10.1016/j.ejmp.2021.02.02517.
Poeta, S., Jourani, Y., De Caluwé, A., Van Den Begin, R., Van Gestel, D., & Reynaert, N. (2021). Split-VMAT technique to control the deep inspiration breath hold time for breast cancer radiotherapy. Radiation oncology, 16(1). doi:10.1186/s13014-021-01800-x18.
Willmann, J., Clementel, E., Corning, C., Poortmans, P., Grant, W., Reynaert, N., Hurkmans, C., & Andratschke, N. (2021). Development of staffing, workload and infrastructure in member departments of the European Organisation for Research and Treatment of Cancer (EORTC) radiation oncology group. Radiotherapy and oncology, 155, 226-231. doi:10.1016/j.radonc.2020.11.00919.
Levillain, H., Burghelea, M., Duran Derijckere, I., Guiot, T., Gulyban, A., Vanderlinden, B., Vouche, M., Flamen, P., & Reynaert, N. (2020). Combined quality and dose-volume histograms for assessing the predictive value of 99mTc-MAA SPECT/CT simulation for personalizing radioembolization treatment in liver metastatic colorectal cancer. EJNMMI Physics, 7(1). doi:10.1186/s40658-020-00345-420.
Largent, A., Marage, L., Gicquiau, I., Nunes, J.-C., Reynaert, N., Castelli, J., Chajon, E., Acosta, O., Gambarota, G., de Crevoisier, R., & Saint-Jalmes, H. (2020). Planification de radiothérapie externe pour la sphère ORL à partir d'imagerie par résonance magnétique: de l'acquisition en position de traitement à la génération de pseudo-scanographie. Cancer radiothérapie, 24(4), 288-297. doi:10.1016/j.canrad.2020.01.00821.
Alhamada, H., Simon, S., Philippson, C., Vandekerkhove, C., Jourani, Y., Pauly, N., Van Gestel, D., & Reynaert, N. (2020). Monte Carlo dose calculations of shielding disks with different material combinations in intraoperative electron radiation therapy (IOERT). Cancer radiothérapie, 24(2), 128-134. doi:10.1016/j.canrad.2020.02.00622.
Wagner, A., Brou Boni, K., Rault, E., Crop, F., Lacornerie, T., Van Gestel, D., & Reynaert, N. (2020). Integration of the M6 Cyberknife in the Moderato Monte Carlo platform and prediction of beam parameters using machine learning. Physica medica, 70, 123-132. doi:10.1016/j.ejmp.2020.01.01823.
Brou Boni, K., Klein, J. J., Vanquin, L., Wagner, A., Lacornerie, T., Pasquier, D., & Reynaert, N. (2020). MR to CT synthesis with multicenter data in the pelvic area using a conditional generative adversarial network. Physics in medicine and biology, 65(7), 075002. doi:10.1088/1361-6560/ab7633