AAPM VL-MRI for Adaptive Treatment Planning and Delivery Q & A

2021 AAPM Virtual 63rd Annual Meeting - Session: MRI for Adaptive Treatment Planning and Delivery Q & A

Q & A

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All videos in this session:

	A Physics-Aware Deep Neural Network for Real Time Volumetric MRI in Support of MR-Guided Radiotherapy - Lianli Liu Stanford University
	BEST IN PHYSICS (MULTI-DISCIPLINARY): Multi-Task MR (MT-MR) for Free-Breathing Simulation in Abdominal Radiotherapy Treatment Planning - Junzhou Chen Cedars-Sinai Medical Center
	Real-Time MRI Motion Estimation Through An Unsupervised K-Space-Driven Deformable Registration Network (KS-RegNet) - Hua-Chieh Shao The University of Texas Southwestern Medical Center
	The Optimal Imaging Plane Determination for Motion Monitoring in MRI Guided Radiation Therapy - Yang Zhang Rutgers Cancer Institute of New Jersey
	Time-Resolved Estimated Synthetic CTs Based On Orthogonal Cine MRI for Low-Field MR-Linac Treatments - Moritz Rabe Department Of Radiation Oncology, University Hospital, Lmu Munich
	Treatment Window Determination for Cardiac Synchronized VMAT - Justin Poon University of British Columbia
	Auto-Detection of Structural Similarity Index Map From Daily MRI as An Indicator for MR-Guided Online Adaptation Replanning - Abdul Parchur Medeical College of Wisconsin

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2021 AAPM Virtual 63rd Annual Meeting - Session: MRI for Adaptive Treatment Planning and Delivery Q & A