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

Zilong Yuan

Showing results (1-10 of 40) with videos related to

Pageof 4
Sort By:
Nutrition in Clinical Practice : Official Publication of the American Society for Parenteral and Enteral Nutrition|September 10, 2025
The cachexia index as a prognostic indicator in patients with cervical cancer treated with radiotherapy: A retrospective studyMengxing Tian, Zilong Yuan, Hongbing Wang, et al.
Journal of Neural Engineering|January 17, 2022
A comparison between diffusion tensor imaging and generalized q-sampling imaging in the age prediction of healthy adults via machine learning approachesYingying Guo, Xi Yang, Zilong Yuan, et al.
Medical & Biological Engineering & Computing|February 9, 2020
BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary studyTiao Chen, Yue Zhao, Chuntao Jia, et al.
Magnetic Resonance Imaging|August 3, 2025
Optimization strategy for fat-suppressed T2-weighted images in liver imaging: The combined application of AI-assisted compressed sensing and respiratory triggeringMengwei Feng, Shanmei Li, Xiaopeng Song, et al.
Technology in Cancer Research & Treatment|December 13, 2024
Prediction of T Stage of Rectal Cancer After Neoadjuvant Therapy by Multi-Parameter Magnetic Resonance Radiomics Based on Machine Learning AlgorithmsTingting Nie, Zilong Yuan, Yaoyao He, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 11, 2024
Association Analysis Between Intratumoral and Peritumoral MRI Radiomics Features and Overall Survival of Neoadjuvant Therapy in Rectal CancerXiaofang Guo, Yaoyao He, Zilong Yuan, et al.
Journal of Computer Assisted Tomography|June 8, 2022
Impact of Parallel Acquisition Technology on the Robustness of Magnetic Resonance Imaging Radiomic FeaturesKui Hu, Wenyou Deng, Ning Li, et al.
Frontiers in Aging Neuroscience|July 15, 2021
Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor ImagingYahui Ouyang, Dong Cui, Zilong Yuan, et al.
Scientific Reports|December 5, 2023
Correlation between dynamic contrast-enhanced MRI characteristics and apparent diffusion coefficient with Ki-67-positive expression in non-mass enhancement of breast cancerTingting Nie, Mengwei Feng, Kai Yang, et al.
Technology in Cancer Research & Treatment|June 27, 2018
Radiomics for Response and Outcome Assessment for Non-Small Cell Lung CancerLiting Shi, Yaoyao He, Zilong Yuan, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Nutrition in Clinical Practice : Official Publication of the American Society for Parenteral and Enteral Nutrition|September 10, 2025
The cachexia index as a prognostic indicator in patients with cervical cancer treated with radiotherapy: A retrospective studyMengxing Tian, Zilong Yuan, Hongbing Wang, et al.
Journal of Neural Engineering|January 17, 2022
A comparison between diffusion tensor imaging and generalized q-sampling imaging in the age prediction of healthy adults via machine learning approachesYingying Guo, Xi Yang, Zilong Yuan, et al.
Medical & Biological Engineering & Computing|February 9, 2020
BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary studyTiao Chen, Yue Zhao, Chuntao Jia, et al.
Magnetic Resonance Imaging|August 3, 2025
Optimization strategy for fat-suppressed T2-weighted images in liver imaging: The combined application of AI-assisted compressed sensing and respiratory triggeringMengwei Feng, Shanmei Li, Xiaopeng Song, et al.
Technology in Cancer Research & Treatment|December 13, 2024
Prediction of T Stage of Rectal Cancer After Neoadjuvant Therapy by Multi-Parameter Magnetic Resonance Radiomics Based on Machine Learning AlgorithmsTingting Nie, Zilong Yuan, Yaoyao He, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 11, 2024
Association Analysis Between Intratumoral and Peritumoral MRI Radiomics Features and Overall Survival of Neoadjuvant Therapy in Rectal CancerXiaofang Guo, Yaoyao He, Zilong Yuan, et al.
Journal of Computer Assisted Tomography|June 8, 2022
Impact of Parallel Acquisition Technology on the Robustness of Magnetic Resonance Imaging Radiomic FeaturesKui Hu, Wenyou Deng, Ning Li, et al.
Frontiers in Aging Neuroscience|July 15, 2021
Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor ImagingYahui Ouyang, Dong Cui, Zilong Yuan, et al.
Scientific Reports|December 5, 2023
Correlation between dynamic contrast-enhanced MRI characteristics and apparent diffusion coefficient with Ki-67-positive expression in non-mass enhancement of breast cancerTingting Nie, Mengwei Feng, Kai Yang, et al.
Technology in Cancer Research & Treatment|June 27, 2018
Radiomics for Response and Outcome Assessment for Non-Small Cell Lung CancerLiting Shi, Yaoyao He, Zilong Yuan, et al.
Pageof 4