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Keywords: Decision Theory
BReP-SNAP-M-55Detecting Pathological Complete Response in Esophageal Cancer After Neoadjuvant Therapy Based On Survival-Weighted Deep Learning: A Pilot Study
S Cheng1*, W Yap2, E Tu3, (1) Taiwan AI Labs, ,,(2) Chang Gung Memorial Hospital, ,,(3) Taiwan Ai Labs,
BReP-SNAP-M-71Exploration of Potential Parameters That Influence When to Replan Head and Neck Cancer Patients
A Andrade*, G Shenouda, J Kildea, McGill University, Montreal, QC, CA
BReP-SNAP-M-148Using An Independent Dose Calculation System to Optimize Clinical Thresholds and Reduce the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance
K Hasse*, B Ziemer, Y Natsuaki, G Valdes, E Hirata, T Solberg, J Scholey, A Witztum, UCSF Comprehensive Cancer Center, San Francisco, CA
PO-GeP-M-366Reducing IMRT QA Workload by 95% and Keeping the Same Level of Quality Control
T Nano1*, M Descovich1, E Hirata1, Y Interian2, G Valdes1, (1) University of California, San Franisco, San Francisco, CA, (2) USF, San Francisco, CA
PO-GeP-T-596Mosaiq Integrated Digital Whiteboard
A Kalet1, J Meyer1, N Cao1*, L Young1, M Lavilla2, (1) University of Washington Medical Center, Seattle, WA, (2) Seattle Cancer Care Alliance, Seattle, WA
TH-D-TRACK 5-5A Generalizable Contour Validation Method Using Deep Learning-Based Image Classification
Y Zhang*, F Ceballos, Y Liang, L Buchanan, X Li, Medical College of Wisconsin, Milwaukee, WI
TU-F-TRACK 6-0Why Smart AAPM and COMP Members Do Dumb Things
A Rubinstein1*, D Brown2*, T Pawlicki3*, S Evans4*, (1) McGovern Medical School, Houston, TX, (2) University of California, San Diego, La Jolla, CA, (3) UC San Diego, La Jolla, CA, (4) Yale University, New Haven, CT
WE-CD-TRACK 2-0Advances of Radiomics and Genomics in Cancer Management
M Giger1*, J Deasy2*, I Tai3*, F Yin4*, (1) University of Chicago, Chicago, IL, (2) Memorial Sloan Kettering Cancer Center, New York, NY, (3) BCCancer Agency At Vancouver, Vancouver, BC, CA, (4) Duke University Medical Center, Chapel Hill, NC