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Taxonomy: TH- Brachytherapy: prostate brachytherapy
BReP-SNAP-T-61 | Evaluation of Electromagnetic Catheter Tracking in HDR Prostate Brachytherapy for Different Imaging and Treatment Environments C P Joshi1,2*, C Pinter3, A Lasso3, E Lugez3, T Vaughan3, C Shenfield1,2, G Fichtinger3, (1) Cancer Center of Southeastern Ontario, Kingston Health Sciences Centre, Kingston, ON, Canada, (2) Departments of Oncology and Physics, Queens University, Kingston, ON, Canada (3) School of Computing, Queens University, Kingston, ON, Canada |
PO-GeP-M-133 | Deep Learning Applied to Ultrasound Catheter Localization for HDR Prostate Brachytherapy: Evaluation of An Initial Model D Liu1,2*, S Tupor3, N Leong1,2, E Sadikov1,2, A Amjad1,2, S Zilles3, (1) Saskatchewan Cancer Agency - Allan Blair Cancer Centre, Regina, SK, CA (2) University of Saskatchewan, Saskatoon, SK, CA (3) University Of Regina, Regina, SK, CA |
PO-GeP-T-160 | Brachytherapy LDR Prostate Plans Robustness Test Based On Random Sampling M Rodriguez1*, (1) British Columbia Cancer Agency, Victoria, BC, CA |
PO-GeP-T-812 | Treatment Verification in Prostate Brachytherapy Patients Using Electromagnetic Tracking Integrated in An HDR/BT Afterloader I Kolkman-Deurloo*, L Heerden Van, R Paassen Van, J Schiphof-godart, M Christianen, J Mens, M Franckena, M Maenhout, R Rijnsdorp, L Luthart, M Hoogeman, Erasmus MC - Cancer Institute, Rotterdam, NL |
SU-CD-TRACK 2-6 | Deep-Learning Assisted Automatic Segmentation of Interstitial Needles in 3D Ultrasound Based High Dose-Rate Brachytherapy of Prostate Cancer B Han1*, F Wang2, L Xing1, H Bagshaw1, M Buyyounouski1, (1) Stanford Univ School of Medicine, Stanford, CA, (2) Tsinghua University, Beijing,China |
TU-C-TRACK 3-6 | Survival of Low-Risk and Intermediate-Risk Prostate Cancer Patients Treated with IMRT Or Brachytherapy T Podder1,2*, A Dey3, S Datta3, T Biswas1,2, (1) University Hospitals Cleveland Medical Center, Cleveland, OH, (2) Case Western Reserve University, Cleveland, OH, (3) University of Akron, Akron, OH |