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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z # | show all

Keywords: inverse planning
BReP-SNAP-M-9A Method to Predict the Patient-Specific Dose-Volume Histogram Curves for Radiotherapy Planning with Deep Learning
X Chen*, K Men, J Yi, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021,China
BReP-SNAP-T-9A Flexible Projection-Based Non-Convex Inverse Planning Algorithm for Intensity-Modulated Proton Therapy
M Brooke1*, Y Censor2, A Gibali3, S Penfold4, R Schulte5, F Van den Heuvel1, (1) CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, GB, (2) University of Haifa, Haifa, IL, (3) ORT Braude College, Karmiel, IL, (4) University Of Adelaide, Adelaide, AUS, (5) Loma Linda University, Loma Linda, CA
BReP-SNAP-T-22Adaptive Stereotactic Abdominal Plan Quality and Fidelity Evaluation On Ethos
E Laugeman*, Y Hao, Z Jiang, G Hugo, S Mutic, H Kim, L Henke, B Cai, Washington University School of Medicine, St. Louis, MO
BReP-SNAP-T-54Efficient Stochastic Optimization Accounting for Uncertainty in HDR Prostate Brachytherapy Needle Placement
S Gerlach1*, F Siebert2, A Schlaefer1, (1) Hamburg University of Technology, Hamburg, HH, DE, (2) University Hospital of Schleswig-Holstein, Campus Kiel, Medical Physics, Kiel, KI, DE
MO-EF-TRACK 3-4ROAD: ROtational Direct Aperture Optimization with a Decoupled Ring-Collimator for FLASH
Q Lyu1*, R Neph1, D O'Connor2, D Ruan1, S Boucher3, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) University of San Francisco, San Francisco, CA, (3) Radiabeam Technologies, Santa Monica, CA
PO-GeP-M-236High Resolution Spectroscopic MRI and Scripting: Towards Automated Planning for a Multi-Center Clinical Trial
E Schreibmann, K Ramesh*, H Shu, H Shim, Department of Radiation Oncology and Winship Cancer Institute of Emory University
PO-GeP-P-81On the Effectiveness and Robustness of Varian's Photon Optimizer's Auto-Feathering Feature
J Newton*, K Li, John R. Marsh Cancer Center, Hagerstown, MDAF,
PO-GeP-T-94An Automated Non-Coplanar VMAT Planning Study for Dose Escalation in Recurrent Head and Neck Cancer Patients
K Woods*, R Chin, K Sheng, J.V. Hegde, M Cao, UCLA School of Medicine, Los Angeles, CA
PO-GeP-T-112Application of Fast Inverse Dose Optimization for Intensity Modulated Proton Therapy
M MacFarlane1*, S Mossahebi1, J Chen2, N Lamichhane1, M Guerrero1, (1) University of Maryland School of Medicine, Baltimore, MD, (2) London Regional Cancer Program, London, ON, CA,
PO-GeP-T-212Comparing VMAT and AP/PA Techniques for TBI: Plan Quality, Delivery Efficiency, and Lung Dose Rate
B Guo*, A Magnelli, S Cherian, P Xia, Cleveland Clinic Foundation, Cleveland, OH
PO-GeP-T-340Dosimetric Evaluation of a New Integrated SBRT/IMRT Treatment System
D wu1*, A Eldib2, L Chen3, Q Jiang4, B Wang5, T Dos Santos6, C Ma7, (1) The People`s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, CN, (2) Fox Chase Cancer Center, Philadelphia, PA, (3) Fox Chase Cancer Center, Philadelphia, PA, (4) The First Affliated Hospital of Chongqing Medical University, Chongqing, Chongqing, CN, (5) Temple University Hospital, Philadelphia, PA, (6) AdventHealth at Gordon, Calhoun, GA, (7) Fox Chase Cancer Center, Philadelphia, PA
PO-GeP-T-448Feasibility of High Dose Rate Brachytherapy Inverse Optimization of Treatment Plans for Patients with Dominant Intraprostatic Lesions Partially Covered by Pubic Arch Interference
Pedro Martinez1,2*, Kevin Martell2, Elizabeth Watt2, Siraj Husain2, Tyler Meyer1,2, Kundan Thind1,2, (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA
PO-GeP-T-478Hippocampal-Sparing in Whole-Brain Radiation Therapy: A New VMAT Treatment Planning and Optimization Technique
D Soultan*, M Smith, J Edds, H Saleh, H Saleh, Kansas University Medical Center, Department of Radiation Oncology, Kansas City, KS
PO-GeP-T-506Implenting Dosimetric Quality Index in Lattice Radiotherapy Treatments
M Banos-capilla*, J Lago-martin, J Bea-gilabert, L Ros-garcia, L Larrea-rabassa, E Lopez-munoz, P Antonini, V Gonzalez-vidal, M Berenguer, Hospital Vithas NISA Virgen del Consuelo ValenciaES,
PO-GeP-T-555Jaw Tracking VMAT: A Robust Option in Delivering Whole Breast Radiotherapy with a Simultaneously-Integrated Boost (WBRT+SIB)
K Guida*, J Coster, S Howard, V Radice, University of Kansas Cancer Center, Kansas City, KS
PO-GeP-T-559Learning the Plausible VMAT Subspace with Deep Autoencoders
N Bice1*, N Kirby1, R Li1, C Kabat1, D Nguyen2, N Papanikolaou1, M Fakhreddine1, (1) UT Health San Antonio, San Antonio, TX, (2) UT Southwestern Medical Center, Dallas, TX.
PO-GeP-T-746Study On the Improved Internal Feedback System of RapidPlan Model
C Ma*, Shandong Cancer Hospital and Institute,Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, ShandongCN,
PO-GeP-T-776The Impact of Plan Feasibility Predictions On VMAT Treatment Planning
J Rembish*, C Kabat, E Jang, M Olivares, C Payne, C Rendon, N Kirby, S Stathakis, N Papanikolaou, P Myers, UT Health San Antonio, San Antonio, TX
TU-C-TRACK 3-4Multiresolution-Level Inverse Planning for Gamma Knife Radiosurgery for Vestibular Schwannoma
Z Tian*, X Yang, D Giles, T Wang, E Butker, M Walb, W Curran, S Kahn, T Liu, Winship Cancer Institution, Emory University, Atlanta, GA
TU-EF-TRACK 3-1BEST IN PHYSICS (THERAPY): Automated Proton Treatment Planning with Robust Optimization Using Constrained Hierarchical Optimization
V Taasti1*, L Hong2, J Deasy2, M Zarepisheh2, (1) MAASTRO Clinic,Maastricht, NL, (2) Memorial Sloan-Kettering Cancer Center, New York, NY
TU-EF-TRACK 3-11Optimization-Free Interactive Planning Framework
L Ma*, M Chen, X Gu, W Lu, UT Southwestern Medical Center, Dallas, TX
TU-EF-TRACK 3-15Human Knowledge Augmented Deep Reinforcement Learning for Intelligent Automatic Radiotherapy Treatment Planning
C Shen*, L Chen, Y Gonzalez, D Nguyen, S Jiang, X Jia, The University of Texas Southwestern Medical Ctr, Dallas, TX