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

Xiangnan Feng

Showing results (11-20 of 18) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 18 results.
Oncology Research|November 3, 2025
Lactylation in Cancer: Unlocking the Key to Drug Resistance and Therapeutic BreakthroughsXiangnan Feng, Dayong Li, Pingyu Wang, et al.
Statistica Sinica|October 23, 2018
Functional Linear Regression Models for Nonignorable Missing Scalar ResponsesTengfei Li, Fengchang Xie, Xiangnan Feng, et al.
Psychology, Health & Medicine|October 2, 2025
Efficacy of gut microbiota-based therapy for autism Spectrum Disorder and attention Deficit Hyperactivity Disorder: a systematic review and meta-analysisWeijie Sun, Liang Ma, Xiangnan Feng, et al.
The British Journal of Radiology|May 31, 2017
Iterative reconstruction in single-source dual-energy CT angiography: feasibility of low and ultra-low volume contrast medium protocolsPing Hou, Xiangnan Feng, Jie Liu, et al.
Academic Radiology|December 19, 2017
Low Tube Voltage and Iterative Model Reconstruction in Follow-up CT Angiography After Thoracic Endovascular Aortic Repair: Ultra-low Radiation Exposure and Contrast Medium DosePing Hou, Xiangnan Feng, Jie Liu, et al.
Materials (Basel, Switzerland)|March 11, 2023
A Hydrotalcite-Based PET Composites with Enhanced Properties for Liquid Milk Packaging ApplicationsXiangnan Feng, Xiaomeng Hu, Jie Yu, et al.
Quantitative Imaging in Medicine and Surgery|August 11, 2025
Ultra-low-dose hepatic computed tomography with a novel real-time deep learning-based noise reduction algorithm: a prospective cross-sectional analysis of image quality and lesion detectionPing Hou, Xiangnan Feng, Yan Chen, et al.
Quantitative Imaging in Medicine and Surgery|September 16, 2024
A paradigm shift in oncology imaging: a prospective cross-sectional study to assess low-dose deep learning image reconstruction versus standard-dose iterative reconstruction for comprehensive lesion detection in dual-energy computed tomographyPing Hou, Nana Liu, Xiangnan Feng, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Oncology Research|November 3, 2025
Lactylation in Cancer: Unlocking the Key to Drug Resistance and Therapeutic BreakthroughsXiangnan Feng, Dayong Li, Pingyu Wang, et al.
Statistica Sinica|October 23, 2018
Functional Linear Regression Models for Nonignorable Missing Scalar ResponsesTengfei Li, Fengchang Xie, Xiangnan Feng, et al.
Psychology, Health & Medicine|October 2, 2025
Efficacy of gut microbiota-based therapy for autism Spectrum Disorder and attention Deficit Hyperactivity Disorder: a systematic review and meta-analysisWeijie Sun, Liang Ma, Xiangnan Feng, et al.
The British Journal of Radiology|May 31, 2017
Iterative reconstruction in single-source dual-energy CT angiography: feasibility of low and ultra-low volume contrast medium protocolsPing Hou, Xiangnan Feng, Jie Liu, et al.
Academic Radiology|December 19, 2017
Low Tube Voltage and Iterative Model Reconstruction in Follow-up CT Angiography After Thoracic Endovascular Aortic Repair: Ultra-low Radiation Exposure and Contrast Medium DosePing Hou, Xiangnan Feng, Jie Liu, et al.
Materials (Basel, Switzerland)|March 11, 2023
A Hydrotalcite-Based PET Composites with Enhanced Properties for Liquid Milk Packaging ApplicationsXiangnan Feng, Xiaomeng Hu, Jie Yu, et al.
Quantitative Imaging in Medicine and Surgery|August 11, 2025
Ultra-low-dose hepatic computed tomography with a novel real-time deep learning-based noise reduction algorithm: a prospective cross-sectional analysis of image quality and lesion detectionPing Hou, Xiangnan Feng, Yan Chen, et al.
Quantitative Imaging in Medicine and Surgery|September 16, 2024
A paradigm shift in oncology imaging: a prospective cross-sectional study to assess low-dose deep learning image reconstruction versus standard-dose iterative reconstruction for comprehensive lesion detection in dual-energy computed tomographyPing Hou, Nana Liu, Xiangnan Feng, et al.
Pageof 2