DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
| MO-GH-SAN2-9 | Improved Glioblastoma Survival Prediction Using Deep Learning-Based Radiomic Features From Preoperative Multimodal MR Images J Fu*, K Singhrao , X Zhong , X Qi , Y Yang , D Ruan , J Lewis , UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-I-13 | Augmentation 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-E-SAN2-4 | Evaluating the Stability of Radiomics Features Using 4D-CT X Wang1*, C Ma1 , H Wang2 , Y Zhang1 , N Yue1 , K Nie1 , (1) Rutgers-Cancer Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, (2) Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China |
| SU-I430-GePD-F8-3 | Lung Feature Tracking in 4DMRI Using a Scale-Invariant Feature Transform Method E Colvill1*, E Gaberdiel2 , A Lomax1 , O Bieri3 , Z Celicanin3 , D Weber1 , G Fattori1 , (1) Paul Scherrer Institute, Villigen, Switzerland, (2) Cambridge University, Cambridge, United Kingdom,(3) Division of Radiological Physics, Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland and Department of Biomedical Engineering, University of Basel, Basel, Switzerland |
| 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, |
| TU-C1000-GePD-F6-6 | Machine Learning Based Method for Peer Review Rounds Case Prioritization L Conroy*, C McIntosh , T Purdie , The Princess Margaret Cancer Centre - UHN, Toronto, ON |
| TU-C930-GePD-F6-3 | Standardizing 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 |
| WE-AB-225BCD-3 | A Composite Deep Learning Architecture for the Joint Prediction of Local Control and Radiation Pneumonitis in Radiotherapy for Non-Small Cell Lung Cancer Patients S Cui*, Y Luo , H Tseng , R Ten Haken , I El Naqa , University of Michigan, Ann Arbor, MI |
| WE-J-301-8 | Impact of Delivery Characteristics On Dose Delivery Accuracy of Volumetric Modulated Arc Therapy for Different Treatment Sites J Li1*, X Zhang1 , J Li1 , R Jiang2 , J Sui2 , M Chan3 , R Yang1 , (1) Peking University Third Hospital, Beijing, (2) Institute of Automation, Chinese Academy of Sciences, Beijing, (3) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ |
