Moderator: Paul Kinahan, University of Washington
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| Tuesday | TU-AB-DBRB-0 : Quantitative Imaging: Translation to Practice
Y.Xiao*, R.Jeraj* |
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| | 7:30 AM
TU-AB-DBRB-1 | The Need for Quantitative Imaging in Radiation Oncology Treatment Guidance and Assessment
Y.Xiao* |
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| | 8:00 AM
TU-AB-DBRB-2 | The Need for Quantitative Imaging in Medical Oncology Treatment Guidance and Assessment
R.Jeraj* |
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| Tuesday | TU-AB-DBRB-3 : A 3D Deep Convolutional Neural Network for Lung Cancer Survival Prediction Using Transfer Learning
M.Ibrahim*, D.Visvikis, C.Cheze Le Rest, M.Hatt |
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| Tuesday | TU-AB-DBRB-4 : A Retrospective Study of Radiation Dose-Volume Effects and Dosimetric Predictive Model for Esophagitis Induced by Lung Cancer Radiotherapy Treatment
R.He*, E.Hamadain, S.Packianathan, M.Kanakamedala, S.Vijayakumar, C.Yang |
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| Tuesday | TU-AB-DBRB-5 : Automatic Segmentation of the Prostate Gland On Planning CT Images Using Deep Neural Networks (DNN)
C.Liu*, S.Gardner, N.Wen, F.Siddiqui, B.Movsas, I.Chetty |
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| Tuesday | TU-AB-DBRB-6 : Could Radiomic Signature Developed From NSCLC Patients Predict Overall Survival of Patients with ALK+ Mutation?
L.Huang*, M.Fan, W.Hu, j.wang, J.Chen, X.Xu,
J.Lu, G.Qing |
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| Tuesday | TU-AB-DBRB-7 : CT-Based Radiomic Analysis for Prediction of Liver Progression Risk in Hepatocellular Carcinoma Patients Treated with Stereotactic Body Radiation Therapy
L.Wei*, D.Owen, M.Mendiratta-Lala, B.Rosen, K.Cuneo, T.Lawrence,
R.Ten Haken, I.El Naqa |
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| Tuesday | TU-AB-DBRB-8 : Radiomics Features Predict Tumor Volume Change During Head and Neck Cancer Radiotherapy
M.Surucu*, I.Mescioglu, F.Cozzi, N.Hurst, B.Emami, J.Roeske |
