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| Sunday | SU-I430-GePD-F9-1 : CT Textures in Selection Optimization of HPV-Associated Oropharynx Cancer Patients for Transoral Robotic Surgery
T.Bejarano*, M.Samuels, G.Thomas, F.Civantos, J.Leibowitz, L.Freedman,
S.Samuels, I.Mihaylov |
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| Sunday | SU-I430-GePD-F9-2 : Development of Multi-Atlas-Based Prostatic Urethra Identification Method Using Machine Learning
H.Takagi*, N.Kadoya, T.Kajikawa, S.Tanaka, Y.Takayama, T.Chiba,
K.Ito, S.Dobashi, K.Takeda, K.Jingu |
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| Sunday | SU-I430-GePD-F9-3 : Initial Evaluation of the Use of a Convolutional Neural Network to Determine Coronary Artery Disease Severity Using Computed Tomography Angiography
A.Podgorsak*, K.Sommer, V.Iyer, M.Wilson, U.Sharma, K.Kumamaru,
F.Rybicki, D.Mitsouras, E.Angel, C.Ionita |
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| Sunday | SU-I430-GePD-F9-4 : Quantitative Evaluation of Image Quality in Low Dose CT Images Obtained by Deep Learning
D.Lee*, H.Kim |
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| Sunday | SU-I430-GePD-F9-5 : Step-Wise Solution to Evaluate CT Radiomic Feature Variability Due to Correlated Noise Texture
M.Shafiq ul Hassan*, F.Guo, H.Chen, G.Zhang, E.Moros, Z.Chen |
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| Sunday | SU-I430-GePD-F9-6 : Subset of Reproducible Radiomic Features as a Function of Multiple CT Imaging Parameters
M.Shafiq ul Hassan*, F.Guo, H.Chen, G.Zhang, E.Moros, Z.Chen |
