QP 26 - Radiation and Cancer Physics 12: AI Application in Imaging and Treatment

Presentations

• 12:00pm - 01:00pm PT

  Radiation and Cancer Physics 12: AI Application in Imaging and Treatment

  Speaker: Jing Wang, PhD - University of Texas Southwestern Medical Center, DALLAS
• 12:00pm - 01:00pm PT

  Radiation and Cancer Physics 12: AI Application in Imaging and Treatment

  Speaker: Xiaofeng Yang, PhD - Emory University, Atlanta
• 12:05pm - 12:10pm PT

  A Zero-Shot Deep Learning Method for 2V-CBCT with a Plug-and-Play Diffusion Prior

  Speaker: Ji Li, - SAS, Beijing
• 12:10pm - 12:15pm PT

  Limited-Angle CBCT Image Reconstruction for Non-Coplanar Radiation Therapy via Missing Projection Generation Using Dataset-Free Deep Learning

  Speaker: Siqi Ye, PhD - Stanford University, San Jose
• 12:15pm - 12:20pm PT

  The Effect of a Novel Quantitative CBCT Imaging Method on Deep Learning Based Image Segmentation Performance

  Speaker: Rupesh Dotel, - University of Colorado, Aurora
• 12:25pm - 12:30pm PT

  Advancing SRS Workflow: A Comparative Evaluation of Inovative Deep Learning Architectures for Automated Brain Metastasis Detection and Segmentation in T1-MRI

  Speaker: Sheng Huang, PhD - New York Proton Center, New York
• 12:30pm - 12:35pm PT

  Illuminating the Black-Box: An Explainable AI-Driven Solution for Lung Radiotherapy Plan Evaluation with Initial Multi-Physician and Multi-Institution Assessment

  Speaker: Yin Gao, PhD, CMD - University of Pennsvania Radiation Oncology, Philadelphia
• 12:20pm - 12:25pm PT

  Toward Digital Detectors; Synthetic Image Generation for a Novel Dual-Layer kV Imager

  Speaker: Dianne Ferguson, PhD, DABR - Brigham and Womens Hospital/Dana Farber Cancer Institute, Boston