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Taxonomy: TH- Response Assessment: Modeling: Machine Learning
| MO-IePD-TRACK 4-5 | Exploratory Unsupervised Structure-Learning Based Radiomics Approach for Brain Metastases Treatment Response Modeling of Stereotactic Radiosurgery Z Yang1*, L Wang2, M Chen1, R Timmerman1, T Dan1, Z Wardak1, W Lu1, X Gu1, (1) UT Southwestern Medical Center, Dallas, TX, (2) University Of Texas At Arlington, Arlington, TX |
| MO-IePD-TRACK 5-2 | Prediction of Glioblastoma Patient’s Survival After Radiation Therapy with Random Survival Forest Model Y Kim1*, KW Kim2, H Yoon2, W Sung1, (1) The Catholic University of Korea, Seoul, ,KR (2) Yonsei University College of Medicine, Seoul, ,KR |
| PO-GePV-M-27 | Group-Lasso Regularized Artificial Neural Network for Embedded Feature Selection in Radiomics Study On Pediatric Patients with Craniopharyngioma Treated with Proton Therapy W Yang*, C Hua, T Davis, J Uh, T Merchant, St. Jude Children's Research Hospital, Memphis, TN |
| PO-GePV-M-39 | Outcome Prediction of Prostate Cancer Patients After Radiotherapy Using Machine Learning Models Developed with Extrapolation Data K Oguma1*, T Magome2, M Someya3, T Hasegawa4, K Sakata5, (1) Graduate Division of Health Sciences, Komazawa University, Setagaya, Tokyo, JP, (2) Komazawa University, Tokyo, JP, (3) Department Of Radiology, Sapporo Medical University School Of Medicine, (4) Department Of Radiology, Sapporo Medical University School Of Medicine, (5) Department of Radiology, Sapporo Medical University School Of Medicine |
| TU-A-TRACK 6-7 | Survival Prediction Models for Patients with Malignant Pleural Mesothelioma After Adjuvant Radiotherapy Z Wang1*, V Li2, X Qi3, (1) UCLA School of Medicine, Los Angeles, CA, (2) USC Dornsife College of Letters, Arts and Sciences, Los Angeles, CA, (3) UCLA School of Medicine, Los Angeles, CA |
| TU-EF-TRACK 4-3 | Biologically Guided Deep Learning for Post-Radiation PET Image Outcome Prediction: A Feasibility Study of Oropharyngeal Cancer Application C Wang1*, H Ji2, A Bertozzi2, D Brizel1, Y Mowery1, F Yin1, K Lafata1, (1) Duke University Medical Center, Durham, NC, (2) University of California, Los Angeles, Los Angeles, CA |
| TU-EF-TRACK 4-5 | Deep Learning-Based Framework for the Assessment of Radiation Dermatitis in Nasopharyngeal Carcinoma (NPC) Patients R Ni1*, G Ren1, V Tam1, Z Dai2, X Wang3, S Lee1, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, China, (2) Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 44, CN, (3) The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 44, CN |
| TU-IePD-TRACK 3-4 | Using Artificial Intelligence to Automatically Track the Response of Brain Metastases to Stereotactic Radiosurgery D Hsu*, A Ballangrud, J Deasy, H Veeraraghavan, K Beal, L Cervino, M Aristophanous, Memorial Sloan Kettering Cancer Center, New York, NY |