Click here to


Are you sure ?

Yes, do it No, cancel

Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.

Education | IM | IM/TH | Leadership | TH | show all

Taxonomy: TH- External Beam- Photons: Computational dosimetry engines- Monte Carlo

BReP-SNAP-T-20Acceleration of Monte Carlo Radiation Dose Simulations Using Deep Learning: Proof of Principles for CT and Radiotherapy Dosimetry
Z Peng1*, H Shan2, T Liu3, X Pei4, Z Jieping5, G Wang6, X Xu7, (1) University of Science and Technology of China, Hefei, (2) Rensselaer Polytechnic Institute, Troy, NY, (3) Massachusetts General Hospital, Boston, Ma, (4) University of Science and Technology of China, Hefei, (5) The First Affiliated Hospital, University of Science and Technology of China, Hefei, (6) Rensselaer Polytechnic Institute, Troy, NY, (7) Rensselaer Polytechnic Institute, Troy, NY
BReP-SNAP-T-26Analytical Modeling of the Parameters of a Multileaf Collimator for Monte Carlo Dose Simulations in Radiotherapy
J Martins1*, S Neppl2, A Alhazmi1,4, J Fleckenstein3, G Dedes1, M Reiner2, C Belka2, K Parodi1, S Veloza1,5, (1) Ludwig-Maximilians-Universitaet Muenchen, Garching b. Muenchen, DE, (2) University Hospital, LMU Munich, Munich, DE, (3) University Medical Center Mannheim, University of Heidelberg, Mannheim, DE, (4) Currently at: King Saud University Medical City, Riyadh, SB, (5) Currently at: Universidad Nacional de Colombia, Bogota, CO
BReP-SNAP-T-95Laser-Like X-Ray Sources for a New Stereotactic Radiotherapy Paradigm
E Simiele*, D Breitkreutz, D Capaldi, L Skinner, Stanford University, Stanford, CA
MO-EF-TRACK 3-10DeepMCDose: Variance-Reduced Monte Carlo Beamlet Dose Prediction for Accelerated Online-Adaptive MRI-Guided Treatment Planning
R Neph*, Q Lyu, Y Huang, Y Yang, K Sheng, UCLA School of Medicine, Los Angeles, CA
MO-EF-TRACK 3-14Monte Carlo Dose Denoising Using Weakly-Supervised Deep Learning
T Bai, B Wang*, W Lu, D Nguyen, S Jiang, UT Southwestern Medical Center, Dallas, TX
PO-GeP-T-102An Investigation Study Into the Dose Enhancement of Gold Concentration in Radiation Therapy Procedures
K Chatzipapas1, V Zoiopoulou1, P Papadimitroulas2, G Loudos2, N Papanikolaou3, GC Kagadis1*, (1) University of Patras, Rion GR 26504, GR, (2) BIOEMTECH,Athens, GR 11472 ,GR, (3) University of Texas HSC SA, San Antonio, TX 78229, USA
PO-GeP-T-189Clinical Implementation of Monte Carlo Modeling of the Elekta VersaHD with Agility Collimator
H Parenica1*, C Kabat1, P Papaconstadopoulos2, N Kirby1, P Myers1, T Wagner1, N Papanikolaou1, S Stathakis1, (1) UT Health San Antonio, San Antonio, TX, (2) Netherlands Cancer Institute, Amsterdam, Netherlands
PO-GeP-T-281Development and Validation of a 0.35T MR-Guided Linear Accelerator Monte Carlo Model in GEANT4
A Khan1*, E Simiele2, P Yadav3, (1) Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison (2) Department of Radiation Oncology, Stanford University School of Medicine (3) Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin-Madison
PO-GeP-T-536Investigation of Dose Perturbations Around Brachytherapy Seeds in High-Energy Photon Beams
S Ogawa1*, K Yasui2, Y Saito3, K Ouchi1, J Nagata1, N Hayashi2, (1) Graduate school of Health Sciences, Fujita Health University, Toyoake, Aichi, JP, (2) School of Medical Sciences, Fujita Health University,Toyoake, Aichi,JP, (3) Division Of Radiology, Fujita Health University Hospital,Toyoake, Aichi,JP,
PO-GeP-T-591Monte Carlo Method Combined with Deep Learning for Predictive Denoising and Accelerating the Simulation of Radiotherapy
C Guo*, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, BeijingCN,
PO-GeP-T-803Towards Monte Carlo Modeling of the Optical Properties of Plastic Scintillation Detectors
E Simiele*, L DeWerd, University of WI-Madison/MRRC, Madison, WI