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Yushi Chang

Showing results (11-20 of 17) with videos related to

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Medical Physics|June 30, 2022
Quantification of lung function on CT images based on pulmonary radiomic filteringZhenyu Yang, Kyle J Lafata, Xinru Chen, et al.
Physics in Medicine and Biology|June 1, 2021
A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantomsYushi Chang, Zhuoran Jiang, William Paul Segars, et al.
Physics in Medicine and Biology|July 15, 2020
Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planningXinyi Li, Jiahan Zhang, Yang Sheng, et al.
Physics in Medicine and Biology|March 21, 2022
Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysisZeyu Zhang, Mi Huang, Zhuoran Jiang, et al.
Frontiers in Oncology|October 5, 2020
Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT ApplicationChunhao Wang, Chenyang Liu, Yushi Chang, et al.
Medical Physics|May 7, 2021
Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancersKyle J Lafata, Yushi Chang, Chunhao Wang, et al.
Radiology. Imaging Cancer|June 11, 2021
Radiogenomic Analysis of Locally Advanced Lung Cancer Based on CT Imaging and Intratreatment Changes in Cell-Free DNAKyle J Lafata, Michael N Corradetti, Junheng Gao, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Medical Physics|June 30, 2022
Quantification of lung function on CT images based on pulmonary radiomic filteringZhenyu Yang, Kyle J Lafata, Xinru Chen, et al.
Physics in Medicine and Biology|June 1, 2021
A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantomsYushi Chang, Zhuoran Jiang, William Paul Segars, et al.
Physics in Medicine and Biology|July 15, 2020
Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planningXinyi Li, Jiahan Zhang, Yang Sheng, et al.
Physics in Medicine and Biology|March 21, 2022
Patient-specific deep learning model to enhance 4D-CBCT image for radiomics analysisZeyu Zhang, Mi Huang, Zhuoran Jiang, et al.
Frontiers in Oncology|October 5, 2020
Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT ApplicationChunhao Wang, Chenyang Liu, Yushi Chang, et al.
Medical Physics|May 7, 2021
Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancersKyle J Lafata, Yushi Chang, Chunhao Wang, et al.
Radiology. Imaging Cancer|June 11, 2021
Radiogenomic Analysis of Locally Advanced Lung Cancer Based on CT Imaging and Intratreatment Changes in Cell-Free DNAKyle J Lafata, Michael N Corradetti, Junheng Gao, et al.
Pageof 2