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Taxonomy: TH- Response Assessment: Radiomics/texture/feature-based response assessment
| MO-IePD-TRACK 4-6 | CT-Based Deep Learning Radiomics for Predicting Chemoradiation Treatment Response in Locally Advanced Rectal Cancer J Fu1*, Z Wang1, K Singhrao1, J Lewis2, X Qi1, (1) Department of Radiation Oncology, UCLA, Los Angeles, CA, (2) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA |
| MO-IePD-TRACK 5-1 | A Functional Dosiomics-Based Prediction Model for Radiation Pneumonitis B Liang*, Y Tian, R Wei, J Miao, P Huang, Z Liu, W Xia, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, BeijingCN, |
| PO-GePV-M-42 | A Machine Learning Classifier for Predicting Recurrence in Oropharyngeal Cancer T Chinnery*, P Lang, A Nichols, S Mattonen, Western University, London, ON |
| PO-GePV-M-50 | Predicting Overall Survival of Patients with Glioma Via A Novel Framework Consisting of Two-Phase Feature Selection and Fused Regression Forest H Chen1*, Y Liu2, X Qi3, (1) Xi'an University of Posts and telecommunications, Xi'an, 61, CN, (2) Xi'an University of Posts & Telecommunications, Xi'an, 61, CN, (3) UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-54 | Early Treatment Response Prediction Via Longitudinal CBCT Analysis for Locally Advanced Rectal Cancer X Pan1*, C Liu2, M Alidoost3, Z Wang4, A Raldow5, J Weidhass6, J Fu7, K Woods8, D O'Connell9, D Low10, K Sheng11, X Qi12, (1) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, ,CN, (2) ,,,(3) Ucla, ,,(4) UCLA School of Medicine, Los Angeles, CA, (5) Dept. of Radiation Oncology, Los Angeles, CA, (6) UCLA, Los Angeles, ,(7) UCLA Radiation Oncology, Los Angeles, CA, (8) ,Los Angeles, CA, (9) University of California Los Angeles, Los Angeles, CA, (10) University of California, Los Angeles, Los Angeles, CA, (11) UCLA School of Medicine, Los Angeles, CA, (12) UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-264 | Local Temperature as a Surrogate of Inflammatory State Induced by Skin Irritant R Culcasi1,2*, M Snyder2, (1) Beaumont Hospital, Royal Oak, MI, (2) Wayne State University, Detroit, MI |
| PO-GePV-T-63 | Skin Toxicity Assessment Using Optical-Wavelength Video Processing R Culcasi1,2*, M Snyder1, (1) Beaumont Hospital, Royal Oak, MI, (2) Wayne State University, Detroit, MI |
| TU-CD-TRACK 5-0 | Radiomics and Outcome Prediction H Aerts1*, Y Xiao2*, F Yin3*, E Deutsch4*, (1) Dana-Farber/Brigham Womens Cancer Center, Boston, MA, (2) University of Pennsylvania, Philadelphia, PA, (3) Duke University, Chapel Hill, NC, (4) Universite Paris-saclay, Villejuif, FR |
| WE-F-TRACK 6-5 | Quantitative Radiomics Approach to Assess Acute Radiation Dermatitis in Breast Cancer Patients S Park1*, J Park2, J Kim2, C Choi2, J Kim2, (1) Department of Radiation Oncology, Veterans Health Service Medical Center, Seoul, Republic of Korea (2) Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea, |
| WE-IePD-TRACK 4-3 | Overall Survival Prediction Via An Interpretable Machine Learning Model for Patients with Oropharyngeal Cancer X Pan1*, T Feng2, X Qi3, C Liu4, (1) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, ,CN, (2) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, ,CN (3) UCLA School of Medicine, Los Angeles, CA, (4) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, ,CN |