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Keywords: modeling
| MO-FG-BRB-2 | A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI Based Glioma Segmentation Z Yang1*, Z Hu2, H Ji3, K Lafata1, S Floyd1, F Yin1, C Wang1, (1) Duke University, Durham, NC, (2) Duke Kunshan university, Kunshan, Jingsu, China, (3) North Carolina State University, Raleigh, NC |
| MO-G-202-5 | Probabilistic Interpretation of a Single-Isocenter Multi-Target SRS Robustness Analysis N Bice*, J Xue, K Osterman, D Barbee, P Galavis, T Qu, J Teruel, NYU Langone Health, New York, NY |
| PO-GePV-I-30 | Pharmacokinetic Modeling for Hyperpolarized MRI of 13C Urea K Michel1*, C Walker1, S Lai1, M Merritt2, J Bankson1, (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) The University of Florida, Gainesville, FL |
| PO-GePV-M-20 | A Hybrid Tumor Model for Ultra-Large-Scale Heterogeneous Vascular Tumor Growth J Du1*, Y Zhou2, L Jin2, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) UCLA School of Engineering, Los Angeles, CA |
| PO-GePV-M-21 | Gell: A GPU-Powered Ultra-Large-Scale Cell-Based Simulator J Du1*, Y Zhou2, L Jin2, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) UCLA School of Engineering, Los Angeles, CA |
| PO-GePV-M-33 | A Deep Learning Method Approach for Machine Modeling of Elekta Linear Accelerator From Limited Beam Data S Ahn1*, C Kim2,M Han2,S Han2,Y Lee2,H Kim2,C Hong2,J Kim2,J Kim2**, (1) Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea, (2) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea |
| PO-GePV-M-38 | Gamma Passing Rate Predictions Based On Automatic Feature Extraction of Modulation Maps and Monitor Unit Profiles: A Machine Learning Approach for Virtual Specific-Plan Verification P Quintero1,2*, D Benoit1, Y Cheng1, C Moore2, A Beavis2, (1) University Of Hull, UK,(2) Queens Centre for Oncology & Haematology, Cottingham, UK |
| PO-GePV-M-72 | Progression-Free Survival Analysis for Head and Neck Cancer with Multi-Modality Radiomics Using PET/CT Images T Alfonzetti*, R Sheu, J Junn, R Bakst, Y Yuan, Mount Sinai Medical Center, New York, NY |
| PO-GePV-M-192 | Predictability of Prostate Tumor Motion by Using Autoregressive Model for Real-Time Adaptive Radiation Therapy A Hayami*, K Ichiji, N Homma, Tohoku University, Sendai, JP, |
| PO-GePV-M-207 | Automated Framework for Qualitative Review of Autosegmented Organs-At-Risk E Tryggestad1*, A Anand2, R Foote1, O Foss3, T Hodge1, A Hunzeker1, D Moseley1, A Ridgway2, L Undahl1, S Patel2, (1) Mayo Clinic, Department of Radiation Oncology, Rochester, MN, (2) Mayo Clinic, Department or Radiation Oncology, Phoenix, AZ, (3) Mayo Clinic, Center for Digital Health, Rochester, MN. |
| PO-GePV-M-305 | Hippocampus Avoidance Whole Brain Volumetric Modulated Arc Therapy (VMAT) Using A Knowledge Based Treatment Planning Model Y Fu*, J Wolf, J Zhang, J Roper, J Bradley, T Liu, X Yang, Emory University, Atlanta, GA |
| PO-GePV-M-338 | Establishing Reliable Medical Prediction Model Based On Uncertainty Estimation D Feng1, X Chen1, X Wang1*, Z Zhou2, (1) Xi'an Jiaotong University, Xi'an, 61, CN, (2) University Of Kansas Medical Center,Kansas City, KS. |
| PO-GePV-P-1 | Quantitative Value for Radiotherapy Department Operation Optimization with Binary Stakeholder Model K Li1*, (1) Varian Medical System, Hagerstown, MD |
| PO-GePV-T-110 | Development and Validation of Treatment-Specific Prediction Models for Critical Weight Loss in Nasopharyngeal Carcinoma Patients – A Multi-Centre Study J SUN1*, S Lam2, X Teng3, J Zhang4, Z Ma5, Y Huang6, H Xiao7, C Liu8, W Li9, X Han10, F Lee11, W Yip12, A Cheung13, H Lee14, K Au15, J Cai16, (1) HKU/POLYU, Tko, ,HK, (2) Duke Kunshan University, Kunshan, ,CN, (3) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, HK, (4) Duke Kunshan University, Nantong, 32, CN, (5) The Hong Kong Polytechnic University, ,,(6) The Hong Kong Polytechnic University, Hung Hom, Kowloon, (7) The Hong Kong Polytechnic University, Hong Kong, 91, CN, (8) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, (9) The Hong Kong Polytechnic University, ,,(10) ,,,(11) Queen Elizabeth Hospital, Hong Kong, ,HK, (12) Queen Elizabeth Hospital, Hong Kong, ,CN, (13) ,,,(14) The University Of Hong Kong, ,,(15) Hong Kong Queen Elizabeth Hospital, ,,(16) Hong Kong Polytechnic University, Hong Kong, ,CN |
| PO-GePV-T-111 | Improvements On Acute Gastrointestinal Toxicity Modeling by Using Deep-Learning Auto-Segmentation R Salazar*, J Duryea, A Leone, S Nair, R Mumme, H Baroudi, T Netherton, E Holliday, T Whitaker, K Hoffman, L Court, J Niedzielski, UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-T-112 | An Interpretable Machine Learning Model for Predicting Overall Survival for Malignant Mesothelioma Patients Following 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 |
| PO-GePV-T-120 | A Radiomics-Based Light Gradient Boosting Machine to Predict Radiation-Induced Toxicities in Nasopharynx Cancer Patients Receiving Chemoradiotherapy Z Jiang1*, Y Liang2, X Wang3, Z Min4, M Feng5, Y Kuang6, (1) University of Nevada, Las Vegas, Las Vegas, NV, (2) Cancer Hospital Chinese Academy of Medical Sciences, Sichuan Center, Chengdu, CN, (3) Radiation Oncology Key Laboratory Of Sichuan Province, Chengdu, CN,(4) Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, CN,(5) Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, CN,(6) University of Nevada, Las Vegas, Las Vegas, NV |
| PO-GePV-T-121 | Electrostatic Field Simulations and Dynamic Monte Carlo Simulations of a Nanodosimetric Detector I Kempf1*, T Staeuble2, U Schneider3, (1) University of Zurich, CH, (2) University Of Zurich, CH,(3) Radiotherapy Hirslanden, Zurich, CH |
| PO-GePV-T-133 | Stray Neutron Radiation Exposures From Proton Therapy: Physics-Based Analytical Models of Neutron Spectral Fluence, Kerma and Absorbed Dose S Shrestha1*, W Newhauser2, W Donahue3, A Perez-Andujar4, (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) Louisiana State University, Baton Rouge, LA, (3) Yale-New Haven Health, New Haven, CT, (4) Memorial Sloan Kettering, West Harrison, NY |
| PO-GePV-T-189 | Developing a Compact Proton Dielectric Wall Accelerator: Characterizing Pulse Delivery and Electromagnetic Dispersion in Annular Parallel-Plate Waveguides M Maher1*, C Lund1, J Bancheri1, J Seuntjens2, (1) Medical Physics Unit, McGill University, Montreal, QC, CA, (2) University Health Network, Toronto, ON |
| PO-GePV-T-215 | A Practical Workflow to Determine Patient-Specific Critical Organ Dose Constraints Considering Organ-Specific Radiobiological Effect for Reirradiation Planning A Tai*, E Quashie, K Kainz, E Paulson, E Gore, J Bovi, M Awan, M Straza, X Li, Medical College of Wisconsin, Milwaukee, WI |
| SU-E-BRB-4 | Clinical Commissioning and Implementation of An In-House Artificial Intelligence (AI) Tool for Automated Head and Neck Intensity Modulated Radiation Therapy (IMRT) Treatment Planning X Li1*, Y Sheng1, QJ Wu1, Y Ge2, C Wang1, D Brizel1, Y Mowery1, J Lee1, W Wang1, H Stephens1, D Yang1, F Yin1, Q Wu1, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| SU-F-BRC-2 | Using a Residual Neural Network to Predict Radiation-Induced Pulmonary Function Damage E Wallat1*, M Flakus1, A Wuschner1, J Reinhardt2, G Christensen2, J Bayouth1, (1) University of Wisconsin, Madison, WI, (2) University of Iowa, Iowa City, IA |
| SU-H330-IePD-F9-5 | Radiomics On Spatial-Temporal Manifolds Via Fokker-Planck Dynamics J Stevens1*, J Je2, Y Gao3, C Wang4, Y Mowery5, D Brizel6, F Yin7, J Liu8, K Lafata9, (1) Duke University, Durham, NC, (2) Duke University, ,,(3) Purdue University, ,,(4) Duke University Medical Center, Durham, NC, (5) Duke University Medical Center, Durham, ,(6) Duke University Medical Center, Durham, ,(7) Duke University Medical Center, Chapel Hill, NC, (8) Duke University, ,,(9) Duke University, Durham, NC |
| SU-H330-IePD-F9-6 | A Radiogenomics Study Using a Network-Based Unbalanced Optimal Mass Transport Method in Head and Neck Squamous Cell Carcinoma J Oh1, H Veeraraghavan1, E Katsoulakis2, A Apte1, J Zhu3*, Y Yu1, N Lee1, V Hatzoglou1, A Tannenbaum3, N Riaz1, J Deasy1, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Department of Veterans Affairs, Tampa, FL, (3) Stony Brook University, Stony Brook, NY |
| SU-H400-IePD-F5-2 | Radiomics-Based Multiple Prognosis Prediction Using Mutual Information Between Treatment Outcomes as Prior Knowledge in Nasopharyngeal Carcinoma Z Ma1*, J Zhang1, X Teng1, S Lam1, X Han1, H Xiao1, C Liu1, W Li1, Y Huang1, F Lee2, W Yip3, A Cheung1, H Lee4, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong (2) Queen Elizabeth Hospital, Hong Kong (3)Hong Kong Sanatorium and Hospital(4) The University Of Hong Kong |
| SU-H400-IePD-F5-3 | A Comparative Study of Radiomics and Deep-Learning Approaches for Predicting Surgery Outcomes in Early-Stage Non-Small Cell Lung Cancer (NSCLC) H Zhang1, Z Yang2, B Ackerson2, Z Hu1, M Khazaieli2, C Kelsey2, F Yin2, C Wang2*, (1) Duke Kunshan University, Kunshan, Jiangsu, China, (2) Duke University, Durham, NC |
| SU-H400-IePD-F6-1 | Intracranial Vessel Wall Segmentation Using a Novel Tiered Loss to Capture Class Inclusion H Zhou1*, J Xiao2, Z Fan2, 3, 4, D Ruan1, 5, (1) Department of Bioengineering, University of California, Los Angeles, CA 90095, (2) Department of Radiology, University of Southern California, Los Angeles, CA 90033, (3) Department of Radiation Oncology, University of Southern California, Los Angeles, CA 90033, (4) Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089 (5) Department of Radiation Oncology, University of California, Los Angeles, CA 90095 |
| SU-H430-IePD-F7-2 | NTCP Modeling of Xerostomia 12 Months After Radiotherapy for Oropharyngeal Cancer Using the PRO-CTCAE Scoring System A Tzikas1*, E Lavdas2, D Kehayas3, R Amdur4, W Mendenhall5, N Sheets6, S Stathakis7, R Green8, L Marks9, S Das10, B Chera11, P Mavroidis12, (1) University Of West Attica, Department Of Biomedical Sciences, Athens, Greece, (2) University of West Attica, Athens, Greece, (3) University Of West Attica, Athens, Greece, (4) University of Florida Hospitals, Gainesville, FL, (5) University of Florida, Gainesville, FL, (6) Duke University, Raleigh, NC, (7) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX, (8) UNC at Chapel Hill, NC, (9) University of North Carolina at Chapel Hill, Chapel Hill, NC, (10) University of North Carolina, Chapel Hill, NC, (11) UNC at Chapel Hill, NC, (12) University of North Carolina, Chapel Hill, NC |
| SU-J-202-6 | Machine-Learning Modeling of Patient-Reported Swallowing Dysfunction Using Dose to the Epiglottis and Pharyngeal Constrictors MD Pepin*, S Anaya, RL Foote, YI Garces, H Emily, DW Mundy, MA Neben-wittich, DM Routman, S Catherine, SC Lester, DJ Ma, S Shiraishi, Mayo Clinic Rochester, Rochester, MN |
| SU-K-206-1 | A High-Performance Computational Framework to Simulate Biological Effects of Radiation Exposure as a Function of Chromosome Structure M Andriotty1,2*, J Gounley1, C Wang2, A Kapadia1, G Agasthya1, (1) Advanced Computing for Health Science, Oak Ridge National Laboratory, Oak Ridge, TN, (2) Georgia Institute of Technology, Atlanta, GA |
| SU-K-206-2 | Analytical Modeling of Intertrack Interaction in Ultra-High Dose Rate (FLASH) Radiotherapy A Baikalov1,2,3*, R Abolfath4, R Mohan4, J J Wilkens2, S Bartzsch2,3, (1) Technical University of Munich, Garching, DE, (2) Klinikum rechts der Isar, Munich, DE, (3) Helmholtz Zentrum Muenchen GmbH, German Research Center for Environmental Health, Neuherberg, DE, (4) UT MD Anderson Cancer Center, Houston, TX |
| TH-A-202-4 | Effect of Heterogeneity and Re-Diffusion On the Measured Depletion of Oxygen During FLASH RT S Cui*, G Pratx, Stanford University, Stanford, CA |
| TH-D-202-2 | Comparison of Variable Proton RBE Model Predictions in the Treatment Plans of Patients Who Developed Radiation-Induced Necrosis D Flint1*, T Zhang2, P Yepes1,3, A Adair1, Q Wang1,3, C Ruff1, G Engeseth1,4,5, B Gunn1, S Shaitelman1, G Sawakuchi1, (1) The University of MD Anderson Cancer Center, Houston, TX, (2) Hofstra University/Northwell Health, Hempstead, NY, (3) Rice University, Houston, TX, (4) Haukeland University Hospital, Bergen, Norway, (5) University of Bergen, Bergen, Norway. |
| TH-D-207-5 | Hybrid Adversarial Network for Ultra-Quality Pulmonary Anatomy Imaging From Cone-Beam CT Images J Zhu1, W Chen2, Y Huang1*,A Nicol3, Y Lam4, J Cai5, G Ren6, (1) Hong Kong Polytechnic University, Hong Kong (2) Chinese Academy of Sciences, Shenzhen Advanced Technology Academe, Shenzhen,CN(3) The Hong Kong Polytechnic University, Hong Kong(4) Hong Kong Polytechnic University, Hong Kong(5) Hong Kong Polytechnic University, Hong Kong (6) Hong Kong Polytechnic University, Hong Kong |
| TH-D-BRC-6 | Outcome Prediction for Metastatic Lung Cancer Patients After Radiotherapy and Immunotherapy Using Patient, Tumor, Treatment, and Immunologic Factors Y KIM1*, I Chamseddine2, C Grassberger2, Y Cho3, W Sung1, (1) Department of Biomedical Engineering and Department of Biomedicine & Health Science, College of Medicine, The Catholic University of Korea, Seoul, South Korea (2) Department of Radiation Oncology, Massachusetts General Hospital/Harvard Medical School, United States (3) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea |
| TH-E-BRC-4 | MRIGRT - 4D Motion Modeling and Real-Time Online 3D Motion Tracking y zhang1, X Wu1*, H Gach1, J Ginn2, D Yang2, (1) Washington University, Saint Louis, MO, (2) Duke University, Chapel Hill, NC |
| TU-D1030-IePD-F4-6 | An in Vivo Oxygen Transport Model Describing the Physiological Impact On FLASH Radiotherapy L Guo*, K Wang, Biomedical Imaging and Radiation Technology (BIRT) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas |
| TU-D930-IePD-F2-4 | A Deep Learning Model with Radiomics Analysis Integration for Glioblastoma Post-Resection Survival Prediction Z Hu1*, Z Yang2, J Zhao1, H Zhang1, E Vaios2, K Lafata2, F Yin2, C Wang2, (1) Duke Kunshan University, Kunshan, Jiangsu, China (2) Duke University, Durham, NC |
| TU-G-BRA-1 | A Novel Method for Placing Lattice Targets for Spatially Fractionated Stereotactic Body Radiation Therapy (SFSBRT) L Buchanan2*, P Keigwin1, M Kaluarachchi2, M Schwer3, G Cardarelli4, (1) University of Rhode Island, Department of Physics, Kingston, RI, (2) Rhode Island Hospital/ Warren Alpert Medical, Providence, RI, (3) Rhode Island Hospital / Warren Alpert Medical, Warwick, RI, (4) Rhode Island Hospital / Warren Alpert Medical, Providence, RI |
| TU-I345-IePD-F2-5 | Input Feature Design and Their Impact On the Artificial Intelligence Planning Agent’s Performance X Li1*, Y Ge2, Q Wu1, C Wang1, Y Sheng1, W Wang1, H Stephens1, F Yin1, QJ Wu1, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| TU-I345-IePD-F5-2 | A Radiomics-Integrated Deep-Learning Model for Identifying Radionecrosis Following Brain Metastasis Stereotactic Radiosurgery J Zhao1*, Z Yang1, Z Hu2, E Vaios1, D Carpenter1, S Floyd1, K Lafata1, F Yin1, C Wang1, (1) Duke University, Durham, NC, (2) Duke Kunshan University, Kunshan, Jiangsu, China |
| WE-B-201-5 | Model Based Real-Time Prediction of Gastric Contractile Motion Y Zhang*, Y Cao, J Balter, University of Michigan, Ann Arbor, MI |
| WE-C1000-IePD-F2-4 | Dynamic 2D Cine From Beam Eye’s View (BEV) with Projected Tumor Volume for MR-Guided Radiotherapy X Nie1, G Li2, J Jeong2*, (1) University of Kentucky, Lexington, KY, (2) Memorial Sloan Kettering Cancer Center, New York, NY |
| WE-C930-IePD-F7-6 | Towards Accessible Proton Radiotherapy: Beam Optics Design for a Compact Medical Proton Accelerator CM Lund1*, PM Jung2, MJ Maher1, J Bancheri1, T Planche2, R Baartman2, J Seuntjens3, (1) McGill University, Montreal, QC, CA, (2) TRIUMF, Vancouver, BC, CA, (3) University Health Network, Toronto, ON, CA |