SS 10 - AI Applications in Imaging Analysis and Segmentation

Presentations

• 05:00pm - 05:10pm ET

  Computationally Efficient Low Field MRI Enhancement via Foundation Model Feature Engineering

  Speaker: Lianli Liu, PhD - Stanford University, Stanford
• 05:10pm - 05:20pm ET

  Single-CT Simulation for Surface-Guided DIBH Radiotherapy Using Deep Learning-Synthesized 3D Body Contours from Scout Images

  Speaker: Inbum Lee, PhD - Seoul National University Hospital, Seoul
• 05:20pm - 05:30pm ET

  Federated Deep Ensemble Learning for MRI-Based Brain Metastasis Segmentation: An International Multi-Center Development

  Speaker: Jingtong Zhao, PhD - Duke University, Durham
• 05:30pm - 05:40pm ET

  Cross-Institutional Validation of a Mixed-Cohort-Trained 3D Res-U-Net for Cervical-Bed CTV Segmentation in Cervical Cancer Radiotherapy

  Speaker: Chia Yu Lai, MS - National Yang Ming Chiao Tung University, Tinan City
• 05:40pm - 05:50pm ET

  An Integrated AI Framework for Automated Cardiac Substructure Segmentation and Cardiotoxicity Risk Mitigation in Lung Cancer

  Speaker: Xinru Chen, PhD, MS - Baylor College of Medicine, Houston
• 05:50pm - 06:00pm ET

  Branching Out: A Deep Learning Framework for Precise Coronary Artery Delineation in Radiation Therapy

  Speaker: Chase Ruff, MS - University of Wisconsin-Madison, Madison