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2021 AAPM Virtual 63rd Annual Meeting - Session: Autosegmentation and Image Analysis in MRI-guided Radiation Therapy

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Multi-Parametric Ultra-Quality 4D-MRI Synthesis Using VoxelMorph-Based Deformable Image Registration
Haonan Xiao The Hong Kong Polytechnic University

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All videos in this session:
Auto-Correction of Inaccurate Auto-Segmentation for MRI-Guided Adaptive Radiotherapy - Jie Ding Medical College of Wisconsin
Radial MR Fingerprinting for Accelerated High Resolution Quantitative Prostate MRI in Radiation Therapy - Victoria Yu, MS Memorial Sloan Kettering Cancer Center
Synthetic Magnetic Resonance Imaging From Computed Tomography Simulation Scans Using Deep-Learning Models for High-Dose-Rate Prostate Brachytherapy - Hyejoo Kang Loyola University Medical Center
Synthetic MRI-Aided Delineation of Organs at Risk in Head-And-Neck Radiotherapy - Xianjin Dai Emory University
Learn From What You Drew - a Deep Learning Assisted Fast Semi-Automatic Segmentation for Complex Anatomy On MRI - Ying Zhang Medical College of Wisconsin
A Prior Knowledge Guided Deep Learning Model for GTV Auto-Segmentation On 4DMRI in MR-Guided Adaptive Radiotherapy of Pancreatic Cancer - Ying Zhang Medical College of Wisconsin
Q & A -
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