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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z # | show all

Keywords: texture analysis
MO-J430-CAMPUS-F1-2CT Radiomics Texture Features Indicate Radiation Induced Pneumonitis
T Bejarano*, D Kwon , M De Ornelas , R Yechieli , H Perlow , L Freedman , I Mihaylov , Univ Miami, Miami, FL
PO-GePV-I-13Augmentation of MRI Multi-Sequence Radiomics Data to Improvebrain Tumor Classification
K Ogden1*, N Salastekar1 , D LaBella1 , A Chakraborty1 , E Oakes2 , R Mangla1 , (1) SUNY Upstate Medical Univ, Syracuse, NY, (2) Syracuse University, Syracuse, NY
SU-I300-GePD-F5-6Lesion-Level Response Prediction From 18F-FDG PET/CT in Metastatic Melanoma Patients Treated with Immune Checkpoint Blockade
D Huff1*, R Shah2 , A Weisman1 , L Zurbriggen3 , M Albertini3 , R Jeraj1,4 , (1) University of Wisconsin-Madison, Madison, WI, (2) North Memorial Healthcare, Robbinsdale, MN, (3) University of Wisconsin Carbone Cancer Center, Madison, WI, (4) University of Ljubljana, Ljubljana, Slovenia
SU-I430-GePD-F9-1CT 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 , Univ Miami, Miami, FL
SU-K-225BCD-3Intravoxel Incoherent Motion Imaging and MR Texture Analysis of Healthy and Diseased Tissue During Stereotactic Body Radiotherapy of Liver Cancer
B Lewis1*, E Fields1 , S Kim1 , T Kim2 , (1) Virginia Commonwealth University, Richmond, VA, (2) Washington University in St. Louis, Saint Louis, MO
SU-L-221CD-4Feasibility of Different Prognostic Prediction Models for Lung Cancer Stages I-IIIB Based On Radiomic Signatures
K Ninomiya*, H Arimura , Kyushu UniversityFukuoka
TU-C1030-GePD-F6-2Differentiation Among Non-Small Cell Lung Cancer Subtypes Using Quantitative Radiomic Features of 18F-FDG PET/CT
X Sha1*, G Gong2 , Q Qiu3 , Y Yin4 , (1) shandong cancer hospital, Jinan, 250117, (2) ,Jinan, ,(3) ,Jinan, ,(4) shandong cancer hospital, Jinan,
TU-C930-GePD-F6-3Standardizing Patient Orientation to Improve Generalization of Radiomics Models
A Iyer*, J Oh , M Thor , J Deasy , A Apte , Memorial Sloan Kettering Cancer Center, New York, NY
TU-L-304-6Understanding Reproducibility of Radiomic Features of Lung Nodules Under Heterogenous CT Acquisition and Reconstruction Conditions
N Emaminejad*, M Wahi-Anwar , G Kim , M Brown , M McNitt-Gray , David Geffen School of Medicine at UCLA, Los Angeles, CA