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| MO-E115-GePD-F8-4 | Development of An Automated Digital Radiography QC Program A Zhao1*, A Sampson1, (1)University of Texas Health Science Center at San Antonio ,San Antonio, TX |
| MO-K-SAN4-0 | Introduction to Scientific Computing for Medical Physics Research S Hedrick1*, G Sharp2*, E Schreibmann3*, (1) Provision Center for Proton Therapy, Knoxville, TN, (2) Massachusetts General Hospital, Boston, MA, (3) Emory Univ, Atlanta, GA |
| PO-GePV-E-1 | Evidence-Based Graduate Program Design with Data Analytics R Khan*, T Mazur , S Mutic , Washington University School of Medicine, St Louis, MO |
| PO-GePV-E-10 | An Interactive Web-Based Platform for Treatment Planning System Commissioning T Roth1*, S McGarty , N Nguyen2 , M Schwer1 , M Belley1 , (1) The Warren Alpert Medical School of Brown Univ., Providence, RI, (2) Yale New Haven Hospital, Cromwell, CT |
| PO-GePV-M-21 | Extracting Heterogeneously Formatted Clinical Data From DICOM Secondary Capture Using OCR E Somasundaram*, S Brady , H Li , L He , T Maloney , J Dudley , J Dillman , Cincinnati Childrens Hospital Med Ctr, Cincinnati, OH |
| PO-GePV-P-102 | Automated Winston-Lutz Test Using XML Script and Developer Mode in TrueBeam STx A Alarcon*, C Venencia , Instituto Zunino, Cordoba - ARGENTINA |
| PO-GePV-T-31 | RapidBrachyMCTPS: Addition of Contouring Tools to the Monte Carlo-Based Treatment Planning System for Brachytherapy Applications Harry Glickman*1, Majd Antaki1, Shirin A. Enger1,2,3, (1) Medical Physics Unit, McGill University, Montreal, Quebec, H4A 3J1, Canada (2) Department of Oncology, McGill University, Montreal, Quebec, H4A 3J1, Canada (3) Research Institute of the McGill University Health Centre, Montreal, Quebec, H3H 2L9, Canada |
| PO-GePV-T-223 | Voxel Based Method for Evaluation of Radiotherapy Sequential Treatment Plan G Singh1*, A Oinam2 , R Kamal1 , D Thaper1 , V Kumar1 , (1) Centre for Medical Physics, Panjab University, Chandigarh (2)Department of Radiotherapy, PGIMER, Chandigarh |
| SU-E-SAN4-1 | A Graphical User Interface (GUI) Toolkit for Treatment Plan Quality Analysis in Right Lung SBRT A Brito Delgado1*, K Rasmussen2 , K Kauweloa3 , T Medrano Pesqueira4 , D Cohen5 , T Eng6 , N Kirby7 , D Saenz8 , Z Shi9 , S Stathakis10 , N Papanikolaou11 , A Gutierrez12 , (1) University of Kansas Hospital, Overland Park, KS, (2) University of Texas HSC SA, San Antonio, TX, (3) University of Kansas Medical Center, Overland Park, KS, (4) Centro Estatal de Oncologia, Hermosillo, Sonora, Mexico ,(5) Jefferson Health New Jersey, Sewell, ,(6) Emory University, Atlanta, ,(7) University of Texas HSC SA, San Antonio, TX, (8) University of Texas HSC SA, San Antonio, TX, (9) University of Texas HSC SA, San Antonio, TX, (10) University Of Texas Health, San Antonio, TX, (11) University of Texas HSC SA, San Antonio, TX, (12) Miami Cancer Institute, Miami, FL |
| SU-F-SAN2-5 | Improving the Robustness of a Deep Learning Based Thoracic CT Segmentation Algorithm (DLSeg) Q Chen1*, X Feng2 , M Bernard1 , (1) University of Kentucky, Lexington, KY, (2) University of Virginia, Charlottesville, VA |
| SU-I430-GePD-F4-1 | An Algorithm for Fully Automated Catheter Digitization of the Tandem and Ovoid Applicators in HDR Brachytherapy B Yan1*, C Deufel2 , I Petersen3 , M Haddock4 , (1) ,Rochester, MN, (2) Mayo Clinic, Rochester, MN, (3) Mayo Clinic, Rochester, MN, (4) Mayo Clinic, Rochester, MN |
| SU-L-225BCD-4 | Automatic Classification of Dental Artifact Status for Efficient Image Veracity Checks M Welch1*, L Wee2 , C McIntosh1 , A Traverso2 , A Dekker2 , D Jaffray1 , (1) University Health Network, Toronto, Canada, (2) MAASTRO Clinic, Maastricht, Netherlands |
| TU-C1000-GePD-F4-6 | Can IMRT QA Failures Be Predicted? How Complexity Metrics Can Guide the Decision for Replanning Before IMRT QA Has Been Measured E Silverstein1*, D Harrington2 , (1) Mayo Clinic Arizona, Phoenix, AZ, (2) Mayo Clinic Arizona, Phoenix, AZ |
| TU-C1030-GePD-F7-5 | Open Source Software for TG-263 Compliance R Cardan1*, R Popple2 , E Covington3 , (1) UAB University of Alabama, Birmingham, Hoover, AL, (2) Univ Alabama Birmingham, Birmingham, AL, (3) University of Alabama-Birmingham, Birmingham, AL |
| TU-E-SAN2-1 | A Novel Training Strategy for Data with Incomplete Labeling in CNN-Based Head-And-Neck OAR Segmentation X Feng1*, K Qing2 , Q Chen3 , (1) University of Virginia, Charlottesville, VA, (2) Rutgers Cancer Institute of New Jersey, Bridgewater, NJ, (3) University of Kentucky, Lexington, KY |
