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

Taxonomy: TH- Brachytherapy: Treatment planning using machine learning/automation

BReP-SNAP-M-23Automatic Location and Size Selection of Round Applicators for AccuBoost Treatments
F West1,2*, S Roles1,2, J Patrick2,3, R Munbodh2,3, M Rivard2,3, J Hepel2,3, K Leonard2,3, D Wazer2,3, Z Saleh2,3, (1) University of Rhode Island, Kingston, RI, (2) Rhode Island Hospital, Providence, RI, (3) Warren Alpert Medical School of Brown University, Providence
BReP-SNAP-T-141What Knowledge-Based Dose Prediction Models Tell Us About Ovoid Vs. Ring Based Brachytherapy Applicators
K Kallis*, B Covele, A Simon, D Brown, D Scanderbeg, K Kisling, C Yashar, J Einck, L Mell, J Mayadev, K Moore, S Meyers, UC San Diego, La Jolla, CA
PO-GeP-T-144Automation of Eyeplaque Procedures for Greater Integration and Safety
Q Diot*, D Westerly, M Miften, University of Colorado School of Medicine, Aurora, CO
PO-GeP-T-164Can Knowledge-Based Dose Prediction Models Inform Brachytherapy Needle Decision-Making for Cervical Cancer?
K Kallis*, D Brown, D Scanderbeg, K Kisling, B Covele, A Simon, C Yashar, J Einck, L Mell, J Mayadev, K Moore, S Meyers, UC San Diego, La Jolla, CA
PO-GeP-T-183CivaSheet Commissioning and Workflow Planning
S Morelli1*, J Woollard1, A Ayan1, N Gupta1, (1) The Ohio State University, Columbus, OH
TH-A-TRACK 3-2Accurate Post-Implantation Dose Reconstruction of CivaSheet, Aided by Machine Learning Techniques
I Veltchev*, R Price, X Chen, K Howell, J Meyer, C Ma, Fox Chase Cancer Center, Philadelphia, PA
TU-EF-TRACK 3-9Knowledge-Based Three-Dimensional Dose Prediction for Tandem-And-Ovoid Brachytherapy
K Cortes*, A Simon, K Kallis, J Mayadev, S Meyers, K Moore, University of California San Diego, La Jolla, CA