Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jinghao Duan

Showing results (11-20 of 35) with videos related to

Pageof 4
Sort By:
Quantitative Imaging in Medicine and Surgery|February 3, 2022
Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional studyJialin Ding, Rubin Zhao, Qingtao Qiu, et al.
Translational Cancer Research|February 4, 2022
Geometric accuracy evaluation of a six-degree-of-freedom (6-DoF) couch with cone beam computed tomography (CBCT) using a phantom and correlation study of the position errors in pelvic tumor radiotherapyCaofei Fu, Changsheng Ma, Dongping Shang, et al.
Insights Into Imaging|March 25, 2024
CT-based radiomics combined with hematologic parameters for survival prediction in locally advanced esophageal cancer patients receiving definitive chemoradiotherapyJinfeng Cui, Dexian Zhang, Yongsheng Gao, et al.
Frontiers in Oncology|December 21, 2018
The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature AnalysisJiabing Gu, Jian Zhu, Qingtao Qiu, et al.
Frontiers in Oncology|January 2, 2025
Radiomic and dosimetric parameter-based nomogram predicts radiation esophagitis in patients with non-small cell lung cancer undergoing combined immunotherapy and radiotherapyKang Wang, Junfeng Zhao, Jinghao Duan, et al.
Journal of Bone Oncology|November 1, 2019
Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcomaShuliang Zhao, Yi Su, Jinghao Duan, et al.
Translational Cancer Research|February 4, 2022
Variability of radiomic features extracted from multi-b-value diffusion-weighted images in hepatocellular carcinomaJing Zhang, Qingtao Qiu, Jinghao Duan, et al.
BMC Medical Imaging|July 8, 2020
Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumorChenlu Liu, Changsheng Ma, Jinghao Duan, et al.
Frontiers in Oncology|March 24, 2023
Volumetric modulated arc therapy for hippocampal-sparing prophylactic cranial irradiation: Planning comparison of Halcyon and C-arm acceleratorsTao Sun, Xiutong Lin, Kuo Li, et al.
Frontiers in Oncology|August 28, 2020
Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by SurgeryQingtao Qiu, Jinghao Duan, Hongbin Deng, et al.
Pageof 4

Showing results (11-20 of 35) with videos related to

Sort By:
Pageof 4
Quantitative Imaging in Medicine and Surgery|February 3, 2022
Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional studyJialin Ding, Rubin Zhao, Qingtao Qiu, et al.
Translational Cancer Research|February 4, 2022
Geometric accuracy evaluation of a six-degree-of-freedom (6-DoF) couch with cone beam computed tomography (CBCT) using a phantom and correlation study of the position errors in pelvic tumor radiotherapyCaofei Fu, Changsheng Ma, Dongping Shang, et al.
Insights Into Imaging|March 25, 2024
CT-based radiomics combined with hematologic parameters for survival prediction in locally advanced esophageal cancer patients receiving definitive chemoradiotherapyJinfeng Cui, Dexian Zhang, Yongsheng Gao, et al.
Frontiers in Oncology|December 21, 2018
The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature AnalysisJiabing Gu, Jian Zhu, Qingtao Qiu, et al.
Frontiers in Oncology|January 2, 2025
Radiomic and dosimetric parameter-based nomogram predicts radiation esophagitis in patients with non-small cell lung cancer undergoing combined immunotherapy and radiotherapyKang Wang, Junfeng Zhao, Jinghao Duan, et al.
Journal of Bone Oncology|November 1, 2019
Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcomaShuliang Zhao, Yi Su, Jinghao Duan, et al.
Translational Cancer Research|February 4, 2022
Variability of radiomic features extracted from multi-b-value diffusion-weighted images in hepatocellular carcinomaJing Zhang, Qingtao Qiu, Jinghao Duan, et al.
BMC Medical Imaging|July 8, 2020
Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumorChenlu Liu, Changsheng Ma, Jinghao Duan, et al.
Frontiers in Oncology|March 24, 2023
Volumetric modulated arc therapy for hippocampal-sparing prophylactic cranial irradiation: Planning comparison of Halcyon and C-arm acceleratorsTao Sun, Xiutong Lin, Kuo Li, et al.
Frontiers in Oncology|August 28, 2020
Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by SurgeryQingtao Qiu, Jinghao Duan, Hongbin Deng, et al.
Pageof 4