DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
PO-GePV-M-36 | Probabilistic Feature Extraction, Dose Statistic Prediction and Dose Mimicking for Automated Radiation Therapy Treatment Planning T Zhang1, 2*, R Bokrantz2, J Olsson1, (1) Department of Mathematics, KTH Royal Institute of Technology, Stockholm SE-100 44, Sweden (2) RaySearch Laboratories, Sveavagen 44, Stockholm SE-103 65, Sweden |
PO-GePV-T-155 | Challenges On Implementing An Hybrid AI-And-Rules Based Plan Check Tool in Clinical Practice - a Pilot Study S Luk*, E Ford, M Kim, M Phillips, K Hendrickson, A Kalet, University of Washington, Seattle, WA |
TH-IePD-TRACK 3-3 | Respiration-Induced Target Motion Prediction From a Surrogate Signal in Radiotherapy : A Bayesian Framework C Remy*1,2, D Ahumada1,2, A Labine1,2, J Côté3, M Lachaine4, H Bouchard1,2,3, (1) Université de Montréal, Montréal, QC, CA, (2) Centre de recherche du Centre hospitalier de l'université de Montréal, Montréal, QC, CA, (3) Centre hospitalier de l'université de Montréal, Montréal, QC, CA, (4) Elekta Ltd., Montreal, QC, CA |
WE-IePD-TRACK 1-3 | Online Bayesian Geometric Calibration of CBCT Systems O Dillon*, T Reynolds, R O'Brien, University of Sydney, Sydney, NSWAU, |
WE-IePD-TRACK 5-1 | Modelling Toxicity Risk and Uncertainty in Breast Radiotherapy with Bayesian Networks P Ciunkiewicz1*, M Roumeliotis2, K Stenhouse2, P McGeachy2, P Grendarova3, S Quirk2, S Yanushkevich1, (1) University of Calgary, Calgary, Alberta, CA, (2) Tom Baker Cancer Centre, Calgary, Alberta, CA, (3) Alberta Health Services, Calgary, Alberta, CA |