Influence of additional methanol on both pre- and post-denitrification processes in treating municipal wastewater by Fang-Fang Yin, Hui-Fang Guo

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A Phantom Study on Target Localization Accuracy Using Cone-Beam Computed Tomography by Hui Yan Ph.D., Liwei Zhang, Fang-Fang Yin

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Dosimetric characterization of an intensity-modulated X-ray brachytherapy system by Sung-Woo Lee, Evgeny Sozontov, Emil Strumban, Fang-Fang Yin

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Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application by Chunhao Wang, Chenyang Liu, Yushi Chang, Kyle Lafata, Yunfeng Cui, Jiahan Zhang, Yang Sheng, Yvonne Mowery, David Brizel, Fang-Fang Yin, Fang-Fang Yin

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Performance evaluation of rural water environment governance based on AHP: a case study of the Beitang River Basin by Fang-fang Yin, Xiaoning Shi, Hui-fang Guo, Yong-rong Shen

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Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis by Wenzheng Sun, Mingyan Jiang, Jun Dang, Panchun Chang, Fang-Fang Yin

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Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study by Zi Yang, Lei Ren, Fang-Fang Yin, Xiao Liang, Jing Cai

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Improving liver tumor image contrast and synthesizing novel tissue contrasts by adaptive multiparametric magnetic resonance imaging fusion by Lei Zhang, Fang‐Fang Yin, Ke Lu, Brittany Moore, Silu Han, Jing Cai

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Patient‐specific synthetic magnetic resonance imaging generation from cone beam computed tomography for image guidance in liver stereotactic body radiation therapy by Zeyu Zhang, Zhuoran Jiang, Hualiang Zhong, Ke Lu, Fang‐Fang Yin, Lei Ren

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Evaluation of Image Enhancement Method on Target Registration Using Cone Beam CT in Radiation Therapy by Hui Yan Ph.D., Ren Lei, Jackie Wu, Fu Di, Fang-Fang Yin

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Automatic Planning of Whole Breast Radiation Therapy Using Machine Learning Models by Yang Sheng, Yang Sheng, Taoran Li, Taoran Li, Sua Yoo, Sua Yoo, Fang-Fang Yin, Fang-Fang Yin, Rachel Blitzblau, Janet K. Horton, Yaorong Ge, Q. Jackie Wu, Q. Jackie Wu

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An Ensemble Approach to Knowledge-Based Intensity-Modulated Radiation Therapy Planning by Jiahan Zhang, Q. Jackie Wu, Tianyi Xie, Yang Sheng, Fang-Fang Yin, Yaorong Ge

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Development of a multi-feature-combined model: proof-of-concept with application to local failure prediction of post-SBRT or surgery early-stage NSCLC patients by Zhenyu Yang, Zhenyu Yang, Zhenyu Yang, Chunhao Wang, Yuqi Wang, Kyle J. Lafata, Kyle J. Lafata, Kyle J. Lafata, Haozhao Zhang, Bradley G. Ackerson, Christopher Kelsey, Betty Tong, Fang-Fang Yin, Fang-Fang Yin

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An investigation of machine learning methods in delta-radiomics feature analysis. by Yushi Chang, Kyle Lafata, Wenzheng Sun, Chunhao Wang, Zheng Chang, John P Kirkpatrick, Fang-Fang Yin

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Impact of moving target on measurement accuracy in 3D and 4D PET imaging—a phantom study by Yunfeng Cui, PhD, James Bowsher, PhD, Jing Cai, PhD, Fang-Fang Yin, PhD

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Fluence Map Prediction Using Deep Learning Models – Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy by Wentao Wang, Wentao Wang, Yang Sheng, Chunhao Wang, Jiahan Zhang, Xinyi Li, Xinyi Li, Manisha Palta, Brian Czito, Christopher G. Willett, Qiuwen Wu, Qiuwen Wu, Yaorong Ge, Fang-Fang Yin, Fang-Fang Yin, Q. Jackie Wu, Q. Jackie Wu

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View-sharing for 4D magnetic resonance imaging with randomized projection-encoding enables improvements of respiratory motion imaging for treatment planning in abdominothoracic rad... by Ergys Subashi, Li Feng, Yilin Liu, Scott Robertson, Paul Segars, Bastiaan Driehuys, Christopher R. Kelsey, Fang-Fang Yin, Ricardo Otazo, Jing Cai

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Post-Radiotherapy PET Image Outcome Prediction by Deep Learning Under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application by Hangjie Ji, Kyle Lafata, Kyle Lafata, Kyle Lafata, Yvonne Mowery, David Brizel, Andrea L. Bertozzi, Andrea L. Bertozzi, Fang-Fang Yin, Chunhao Wang

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Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study by Matt Mistro, Matt Mistro, Yang Sheng, Yaorong Ge, Chris R. Kelsey, Jatinder R. Palta, Jing Cai, Qiuwen Wu, Fang-Fang Yin, Q. Jackie Wu

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NRG Oncology Survey on Practice and Technology Use in SRT and SBRT Delivery by Mikhail Chetvertkov, James Ira Monroe, Jaskaran Boparai, Timothy D. Solberg, Deanna H. Pafundi, Russell L. Ruo, David J. Gladstone, Fang-Fang Yin, Indrin J. Chetty, Stanley Benedict, David S. Followill, Ying Xiao, Jason W. Sohn

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