OC-0268: Fully automated VMAT plan generation – an international multi-institutional validation study by Heijmen, B, Voet, P, Fransen, D, Akhiat, H, Bonomo, P, Casati, M, Georg, D, Goldner, G, Henry, A, Lilley, J, Lohr, F, Marrazzo, L, Milder, M, Pallotta, S, Penninkhof, J, Seppenwoolde, Y, Simontacchi, G, Steil, V, Stieler, F, Wilson, S, Pellegrini, R, Breedveld, S

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PO-0826: Routine application of fully automated independent 3D dose calculation prior to and during fractionated treatment by Schillemans, W, Seppenwwolde, Y, Akhiat, H, Van Doorn, X, Kanis, A, Linton, N, Heijmen, B, Dirkx, M

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SU‐E‐T‐208: Automated Routine 3D Secondary Patient Dose Calculation Prior to and During Fractionated Treatment by Schillemans, W, Seppenwoolde, Y, Akhiat, H, Doorn, X, Kanis, B, Linton, N, Heijmen, B, Dirkx, M

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PH-0653 Deep learning based auto-segmentation: how much training data do we really need? by Kleijnen, J., Penninkhof, J., Akhiat, H., Hoogeman, M., Petit, S.

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EP-1212 A COLLABORATIVE DEVELOPMENT MODEL FOR WORKFLOW (PROCESS) MANAGEMENT IN ONCOLOGY CARE by de Boer, R, Akhiat, H, Broekhof, M, Fortin, M.A, Heijmen, B.J.M, Hoogeman, M.S, v.Vliet, C, Hoad-Reddick, N, Linton, N

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PD-0571 Determining interobserver variability in prostate bed CTV target delineation using MRI by Sritharan, K., Akhiat, H., Cahill, D., Choi, S.L., Choudhury, A., Chung, P., Diaz, J., Dysager, L., Hall, W., Kerkmeijer, L., Lawton, C.A., Murray, J., Nyborg, C.J., Pos, F.J., Rigo, M., Schytte, T., Sidhom, M., Sohaib, A., Tan, A., van der Voort van Zyp, J., Vesprini, D., Zelefsky, M.J., Tree, A.

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PD-0071: The MOMENTUM study, an international registry of patients treated on an MR-linac: 9-month experience by Van Otterloo, S. De Mol, Blezer, E.L.A., Fuller, C.D., Faivre-Finn, C., Sahgal, A., Van der Heide, U.A., Christodouleas, J.P., Akhiat, H., Mook, S., Intven, M.P.W., Van Triest, B., Tree, A.C., Kirby, A.M., Lalondrelle, S., Schultz, C., Erickson, B., Emma, H., Nowee, M.E., Hafeez, S., Oelfke, U., Tersteeg, R.H.A., Eggert, D., Hall, W.A., Verkooijen, H.M.

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SU-F-J-148: A Collapsed Cone Algorithm Can Be Used for Quality Assurance for Monaco Treatment Plans for the MR-Linac by Hackett, S, van Asselen, B, Feist, G, Pencea, S, Akhiat, H, Wolthaus, J, Kotte, A, Bol, G, Lagendijk, J, Raaymakers, B

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The MOMENTUM Study: An International Registry for the Evidence-Based Introduction of MR-Guided Adaptive Therapy by de Mol van Otterloo, Sophie R, Christodouleas, John P, Blezer, Erwin L A, Akhiat, Hafid, Brown, Kevin, Choudhury, Ananya, Eggert, Dave, Erickson, Beth A, Faivre-Finn, Corinne, Fuller, Clifton D, Goldwein, Joel, Hafeez, Shaista, Hall, Emma, Harrington, Kevin J, van der Heide, Uulke A, Huddart, Robert A, Intven, Martijn P W, Kirby, Anna M, Lalondrelle, Susan, McCann, Claire, Minsky, Bruce D, Mook, Stella, Nowee, Marlies E, Oelfke, Uwe, Orrling, Kristina, Sahgal, Arjun, Sarmiento, Jeffrey G, Schultz, Christopher J, Tersteeg, Robbert J H A, Tijssen, Rob H N, Tree, Alison C, van Triest, Baukelien, Hall, William A, Verkooijen, Helena M

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Accuracy of the phase space evolution dose calculation model for clinical 25 MeV electron beams by Korevaar, Erik W, Akhiat, Abdelhafid, Heijmen, Ben J M, Huizenga, Henk

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