Moderator 1: Ruijiang Li, Stanford University
Moderator 2: Jun Deng, Yale Univ. School of Medicine
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| Monday | MO-K-DBRA-1 : A Deep-Learning Approach to Predict Planning Objectives in Cervical Cancer High-Dose-Rate Brachytherapy with a Tandem-And-Ovoid Applicator
Y.Gonzalez*, C.Shen, P.Klages, K.Albuquerque, X.Jia |
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| Monday | MO-K-DBRA-2 : BEST IN PHYSICS (THERAPY): Health Information Gateway and Exchange (HINGE): Radiation Oncology Data Analytics Portal
J.Nalluri*, W.Sleeman, K.Syed, P.Hudgins, W.Nieporte, R.Ibrahim,
J.Palta, M.Hagan, P.Ghosh, R.Kapoor |
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| Monday | MO-K-DBRA-3 : Deep Reinforcement Learning Based Inverse Treatment Planning: A Study in High-Dose-Rate Brachytherapy for Cervical Cancer
C.Shen*, Y.Gonzalez, H.Jung, L.Chen, N.Qin, D.Nguyen,
S.Jiang, X.Jia |
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| Monday | MO-K-DBRA-4 : Feasibility of Using Machine Learning Techniques to Predict the Results of VMAT Patient-Specific QC Measurements
D.Granville*, J.Sutherland, D.La Russa |
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| Monday | MO-K-DBRA-5 : Incorporating a Novel Radiomics Framework for Biologically Optimised Prostate RadioTherapy (BiRT)
A.Haworth*, Y.Sun, M.Ebert, H.Reynolds, J.Betts, D.Wraith,
C.Mitchell, D.Murphy, S.Williams |
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| Monday | MO-K-DBRA-6 : Spatial, Anatomically-Localized Mapping of Dose-Toxicity Associations Following Prostate Radiotherapy
M.Marcello, A.Kennedy, J.Dowling, A.Haworth, L.Holloway, S.Gulliford,
D.Dearnaley, J.Denham, M.Ebert* |
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| Monday | MO-K-DBRA-7 : Stratification of Lung Cancer Risk From Personal Health Data
G.Hart*, D.Roffman, R.Decker, J.Deng |
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| Monday | MO-K-DBRA-8 : Volumetric Dose Prediction On Head and Neck Cancer Patients with a Novel Deep Learning Architecture: Hierarchically Densely Connected U-Net
D.Nguyen*, X.Jia, D.Sher, M.Lin, Z.Iqbal, h.liu,
S.Jiang |
