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Sunan Cui

Showing results (1-10 of 21) with videos related to

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Medical Physics|April 8, 2022
3D computational model of oxygen depletion kinetics in brain vasculature during FLASH RT and its implications for in vivo oximetry experimentsSunan Cui, Guillem Pratx
Zhonghua Gan Zang Bing Za Zhi = Zhonghua Ganzangbing Zazhi = Chinese Journal of Hepatology|January 7, 2015
[Promotion of HBeAg seroconversion/loss in patients with chronic hepatitis B following the switch from nucleoside drugs to telbivudine and adefovir]Sunan Cui, Mingming Wang, Yanxue Gong
Zhonghua Yi Xue Za Zhi|July 23, 2002
[Anti-HBV efficacy of bifendate in treatment of chronic hepatitis B, a primary study]Sunan Cui, Mingming Wang, Guiling Fan
International Journal of Radiation Oncology, Biology, Physics|February 4, 2021
Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation TherapySunan Cui, Randall K Ten Haken, Issam El Naqa
IEEE Transactions on Radiation and Plasma Medical Sciences|March 12, 2019
Artificial Neural Network with Composite Architectures for Prediction of Local Control in RadiotherapySunan Cui, Yi Luo, Huan Hsin Tseng, et al.
Medical Physics|March 21, 2019
Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damageSunan Cui, Yi Luo, Huan-Hsin Tseng, et al.
Medical Physics|May 18, 2020
Introduction to machine and deep learning for medical physicistsSunan Cui, Huan-Hsin Tseng, Julia Pakela, et al.
Seminars in Radiation Oncology|October 6, 2022
Artificial Intelligence for Outcome Modeling in RadiotherapySunan Cui, Andrew Hope, Thomas J Dilling, et al.
Oncology|November 26, 2018
Machine Learning and Imaging Informatics in OncologyHuan-Hsin Tseng, Lise Wei, Sunan Cui, et al.
BJR Open|November 12, 2020
Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modelingYi Luo, Huan-Hsin Tseng, Sunan Cui, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Medical Physics|April 8, 2022
3D computational model of oxygen depletion kinetics in brain vasculature during FLASH RT and its implications for in vivo oximetry experimentsSunan Cui, Guillem Pratx
Zhonghua Gan Zang Bing Za Zhi = Zhonghua Ganzangbing Zazhi = Chinese Journal of Hepatology|January 7, 2015
[Promotion of HBeAg seroconversion/loss in patients with chronic hepatitis B following the switch from nucleoside drugs to telbivudine and adefovir]Sunan Cui, Mingming Wang, Yanxue Gong
Zhonghua Yi Xue Za Zhi|July 23, 2002
[Anti-HBV efficacy of bifendate in treatment of chronic hepatitis B, a primary study]Sunan Cui, Mingming Wang, Guiling Fan
International Journal of Radiation Oncology, Biology, Physics|February 4, 2021
Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation TherapySunan Cui, Randall K Ten Haken, Issam El Naqa
IEEE Transactions on Radiation and Plasma Medical Sciences|March 12, 2019
Artificial Neural Network with Composite Architectures for Prediction of Local Control in RadiotherapySunan Cui, Yi Luo, Huan Hsin Tseng, et al.
Medical Physics|March 21, 2019
Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damageSunan Cui, Yi Luo, Huan-Hsin Tseng, et al.
Medical Physics|May 18, 2020
Introduction to machine and deep learning for medical physicistsSunan Cui, Huan-Hsin Tseng, Julia Pakela, et al.
Seminars in Radiation Oncology|October 6, 2022
Artificial Intelligence for Outcome Modeling in RadiotherapySunan Cui, Andrew Hope, Thomas J Dilling, et al.
Oncology|November 26, 2018
Machine Learning and Imaging Informatics in OncologyHuan-Hsin Tseng, Lise Wei, Sunan Cui, et al.
BJR Open|November 12, 2020
Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modelingYi Luo, Huan-Hsin Tseng, Sunan Cui, et al.
Pageof 3