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2021 AAPM Virtual 63rd Annual Meeting - Science Council Session: Innovative Technologies to Advance Diagnosis and Treatment -
2021-07-25T00:00:00+00:00
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Virtual Library
2021 AAPM Virtual 63rd Annual Meeting - Session: Science Council Session: Innovative Technologies to Advance Diagnosis and Treatment
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Patient-Specific Deep Learning-Based Self-High-Resolution for MR Imaging
Yang Lei Emory Univ
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All videos in this session:
An Imaging Based Biological Framework for Personalizing Radiation Therapy of Lung Cancer Using Interpretable Bayesian Networks and NTCP-Based Treatment Planning
- Ali Ajdari Harvard Medical School & Massachusetts General Hospital
BEST IN PHYSICS (MULTI-DISCIPLINARY): Focused KV X-Rays for Radiotherapy and Imaging of Small Targets
- Wu Liu, PhD Stanford University
Biologically Guided Deep Learning for Post-Radiation PET Image Outcome Prediction: A Feasibility Study of Oropharyngeal Cancer Application
- Chunhao Wang, PhD Duke University Medical Center
Computing Dose to Circulating Blood Cells Using Whole-Body Blood Flow Simulations
- Jungwook Shin Massachusetts General Hospital
Deep Learning-Based Framework for the Assessment of Radiation Dermatitis in Nasopharyngeal Carcinoma (NPC) Patients
- Ruiyan Ni The Hong Kong Polytechnic University
Spatiotemporal Dose Characterization of An Electron FLASH Beam From a LINAC Using Radioluminescence and Cherenkov Imaging
- Mahbubur Rahman Dartmouth College
Thermoacoustic Range Verification During Pencil Beam Delivery of a Clinical Plan to An Abdominal Imaging Phantom
- Sarah Patch UW-Milwaukee
Thoracic 4D Cone-Beam CT Registration Incorporating a Fan-Beam CT-Derived Feasible Motion Descriptor
- Yudi Sang UCLA
Toward Magnetic Resonance Fingerprinting for Low-Field MR-Guided Radiation Therapy
- Nikolai Mickevicius University of Wisconsin
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