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Taxonomy: IM/TH- Image Analysis (Single modality or Multi-modality): Computer-aided decision support systems (detection, diagnosis, risk prediction, staging, treatment response assessment/monitoring, prognosis prediction)
| MO-AB-SAN2-0 | AI for Predicting Response J Kalpathy-Cramer1*, M Giger2*, E Koay3*, J Wu4*, (1) ,Boston, MA, (2) University of Chicago, Chicago, IL, (3) MD Anderson, Houston, TX, (4) Stanford University, Palo Alto, CA |
| MO-AB-SAN2-1 | AI for Predicting Treatment Outcomes J Kalpathy-Cramer1*, M Giger2*, E Koay3*, J Wu4*, (1) ,Boston, MA, (2) University of Chicago, Chicago, IL, (3) MD Anderson, Houston, TX, (4) Stanford University, Palo Alto, CA |
| MO-AB-SAN2-2 | Radiomics and Machine Learning in Predicting Response From Medical Imaging J Kalpathy-Cramer1*, M Giger2*, E Koay3*, J Wu4*, (1) ,Boston, MA, (2) University of Chicago, Chicago, IL, (3) MD Anderson, Houston, TX, (4) Stanford University, Palo Alto, CA |
| MO-AB-SAN2-3 | Quantitative Imaging Response Metrics for Hepatobiliary and Pancreatic Cancers J Kalpathy-Cramer1*, M Giger2*, E Koay3*, J Wu4*, (1) ,Boston, MA, (2) University of Chicago, Chicago, IL, (3) MD Anderson, Houston, TX, (4) Stanford University, Palo Alto, CA |
| MO-AB-SAN2-4 | Spearhead Clinically Relevant Radiologic Biomarker Discovery in Precision Oncology with Habitat Imaging J Kalpathy-Cramer1*, M Giger2*, E Koay3*, J Wu4*, (1) ,Boston, MA, (2) University of Chicago, Chicago, IL, (3) MD Anderson, Houston, TX, (4) Stanford University, Palo Alto, CA |
| MO-E115-GePD-F2-4 | Prediction of Acute Xerostomia Based On Delta Radiomics From CT Images During Radiation Therapy for Nasopharyngeal Cancer Yanxia LIU1*, Hongyu SHI1, Sijuan Huang2, Xiaochuan CHEN1, Huimin ZHOU2,3, Hui CHANG2, Yunfei XIA2, Guohua WANG1, Xin Yang2. (1) School of Software Engineering, South China University of Technology, Guangzhou, Guangdong, 510006, China. (2) Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China. (3) Department of Oncology, the Seventy-fourth Group Army Hospital of the Chinese People's Liberation Army, Guangzhou, Guangdong, 510318, China. |
| SU-E-SAN2-6 | Variations in Feature Combinations Correlated with Radiation Pneumonitis Among Radiomics Software Packages J Foy*, S Armato , H Al-Hallaq , The University of Chicago, Chicago, IL |
| SU-I430-GePD-F8-1 | Functional Networks in Health and Cancerous Brains Related to Language FMRI Q Li1*, G Ferraro1 , L Pasquini2 , K Peck2 , H Makse1 , A Holodny2 , (1) City College of New York, New York, NY, (2) Memorial Sloan Kettering Cancer Center, New York, NY. |
| 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 Podgorsak1, 2*, K Sommer1, 2 , V Iyer3 , M Wilson1 , U Sharma1 , K Kumamaru3 , F Rybicki4 , D Mitsouras4 , E Angel5 , C Ionita1, 2 , (1) SUNY Buffalo, Buffalo, NY, (2) Canon Stroke and Vascular Research Center, Buffalo, NY, (3) Juntendo University, Tokyo, (4) University of Ottawa, Ottawa, ON, (5) Canon Medical Systems, Tustin, CA |
| SU-J400-CAMPUS-F2-2 | Observer-Independent, Hand-Crafted Radiomic Features Predict GBM Patient-Specific Survival E Carver1*, N Wen2 , E Liang3 , J Snyder4 , (1) Wayne State University, Troy, MI, (2) Henry Ford Hospital, Detroit, MI, (3) HFHS, Detroit, ,(4) HFHS, Detroit, |
| SU-J400-CAMPUS-F2-3 | Pre-Treatment Prediction by Hormone Receptor Subtype of Response to Neoadjuvant Chemotherapy in Node-Positive Breast Cancer Patients; a Radiomics Study K Drukker*, A Edwards , C Doyle , J Papaioannou , K Kulkarni , M Giger , University of Chicago, Chicago, IL |
| TH-BC-225BCD-4 | Automatic Fiducial Marker Detection in Prostate Cancer MR Images Using Generative Adversarial Networks (GANs) K Singhrao1*, J Fu1 , A Kishan1 , J Lewis1 , (1) Dept. of Radiation Oncology, UCLA, Los Angeles, CA, |
| TU-C930-GePD-F6-5 | A Comparison of Different Data Augmentation Methods in Isocitrate Dehydrogenase 1 (IDH1) Mutation Prediction H Xiao1*, Z Chang2 , (1) Duke Kunshan University, Kunshan, Jiangsu,(2) Duke University Medical Center, Durham, NC |
| TU-HI-221AB-0 | Biomedical Modeling Using Imaging Data P Boyle1*, D Tward2*, D Holdsworth3*, C Grassberger4*, (1) University of Washington, Seattle, WA, (2) The Johns Hopkins University, Baltimore, MD, (3) John P. Robarts Research Instit., London, ON, (4) Massachusetts General Hospital, Boston, MA |
| WE-AB-225BCD-6 | Intra-Treatment 18F-FDG PET/CT Radiomic Signature Predicts In-Field Recurrence Following Definitive Chemo-Radiation Therapy for Oropharyngeal Cancer K Lafata*, Y Chang , C Wang , Y Mowery , D Brizel , F Yin , Duke University Medical Center, Durham, NC |
| WE-FG-304-7 | Automated Quantification of Lymphoma On FDG PET/CT Images Using Cascaded Convolutional Neural Networks A Weisman1*, M Kieler1 , S Perlman1 , R Jeraj1,2 , M Hutchings3 , L Kostakoglu4 , T Bradshaw1 , (1) University of Wisconsin-Madison, Madison, WI, (2) Faculty of Mathematics and Physics, Ljubljana, Slovenia, (3) Rigshospitalet, Copenhagen, Denmark, (4) Mount Sinai Medical Center, New York, NY |
