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2021 AAPM Virtual 63rd Annual Meeting - Session: AI in CT and CBCT: Image Enhancement and Synthesis


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Multi-Resolution Residual Deep Neural Network for Generating Synthetic CT Images with High HU Accuracy and Structural Fidelity
Wangjiang Wu Peking University Third Hospital
1014910755@qq.com


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All videos in this session:
Convolutional Neural Network Based Metal Artifact Correction for Sparse View Dental CT Imaging - SeongJun Kim Yonsei University
Low-Dose CT Image Enhancement Through a Texture Transformer - Shiwei Zhou University of Texas at Arlington
Renal Stone Quantification in Contrast Enhanced CT Using Convolutional Neural Network Assisted Dual-Energy Virtual Non-Contrast Imaging - Hao Gong Mayo Clinic
Synthesize 3D Realistic CT Textures and Anatomy in the XCAT Phantom Using Generative Adversarial Network (GAN) - Yijie Yuan Duke University
Task-Based Loss Function for Convolutional Neural Network-Based CT Denoising - Brandon Nelson Mayo Clinic
Evaluation of Image-Domain Training Frameworks for Deep Learning Based Denoising and Deconvolution - Patrick VanMeter Mayo Clinic
Q & A -
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