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| Monday | MO-C930-GePD-F7-1 : A Reinforcement Learning Application of Guided Monte Carlo Tree Search Algorithm for Beam Orientation Selection in Radiation Therapy
A.Sadeghnejad Barkousaraie*, O.Ogunmolu, S.Jiang, D.Nguyen |
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| Monday | MO-C930-GePD-F7-2 : Automated Treatment Planning for Whole Brain Irradiation with A Deep Learning Approach
E.Han, C.Cardenas, C.Nguyen, M.Amirmazaheri, T.Briere, j.Li,
L.Court, M.Martel, Z.Wen*, |
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| Monday | MO-C930-GePD-F7-3 : Deep Convolutional Neural Network Based Dose Prediction with Incorporation of Dosimetric Features From PTV-Only Treatment Plan
M.Ma*, N.Kovalchuk, M.Buyyounouski, L.Xing, Y.Yang |
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| Monday | MO-C930-GePD-F7-4 : A Robustness Comparative Study of DVH Prediction Models for Knowledge Based Radiotherapy Treatment Planning
A.Wu*, Y.Li, M.Qi, F.Guo, Q.Jia, L.Zhou,
T.Song |
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| Monday | MO-C930-GePD-F7-5 : Improving IMRT Delivery with a Neighborhood-Coordinated Leaf Motion Algorithm
S.Momin*, J.Grafe, T.Zhang, R.Khan |
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| Monday | MO-C930-GePD-F7-6 : A Fast Deep Learning Approach for Beam Orientation Selection Using Supervised Learning with Column Generation On IMRT Prostate Cancer Patients
A.Sadeghnejad Barkousaraie*, O.Ogunmolu, S.Jiang, D.Nguyen |
