2021 AAPM Virtual 63rd Annual Meeting - Session: AI in CT and CBCT: Image Enhancement and Synthesis
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Convolutional Neural Network Based Metal Artifact Correction for Sparse View Dental CT Imaging SeongJun Kim Yonsei University |
All videos in this session:
Low-Dose CT Image Enhancement Through a Texture Transformer - Shiwei Zhou University of Texas at Arlington | |
Multi-Resolution Residual Deep Neural Network for Generating Synthetic CT Images with High HU Accuracy and Structural Fidelity - Wangjiang Wu Peking University Third Hospital | |
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 - |





















Low-Dose CT Image Enhancement Through a Texture Transformer
Multi-Resolution Residual Deep Neural Network for Generating Synthetic CT Images with High HU Accuracy and Structural Fidelity
Renal Stone Quantification in Contrast Enhanced CT Using Convolutional Neural Network Assisted Dual-Energy Virtual Non-Contrast Imaging
Synthesize 3D Realistic CT Textures and Anatomy in the XCAT Phantom Using Generative Adversarial Network (GAN)
Task-Based Loss Function for Convolutional Neural Network-Based CT Denoising
Evaluation of Image-Domain Training Frameworks for Deep Learning Based Denoising and Deconvolution
Q & A