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

Shu-Fu Shih

Showing results (21-30 of 23) with videos related to

Pageof 3
Sort By:
You have reached the last page of results.This site can display upto 23 results.
Magnetic Resonance Imaging|October 21, 2022
Undersampling artifact reduction for free-breathing 3D stack-of-radial MRI based on a deep adversarial learning networkChang Gao, Vahid Ghodrati, Shu-Fu Shih, et al.
Radiology Advances|February 20, 2026
Cross-cohort federated learning for pediatric abdominal adipose tissue segmentation and quantification using free-breathing 3D MRIWenwen Zhang, Sevgi Gokce Kafali, Timothy Adamos, et al.
Scientific Reports|October 7, 2021
Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individualsChih-Chiang Chang, Zi-Yu Huang, Shu-Fu Shih, et al.
Pageof 3

Showing results (21-30 of 23) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 23 results.
Magnetic Resonance Imaging|October 21, 2022
Undersampling artifact reduction for free-breathing 3D stack-of-radial MRI based on a deep adversarial learning networkChang Gao, Vahid Ghodrati, Shu-Fu Shih, et al.
Radiology Advances|February 20, 2026
Cross-cohort federated learning for pediatric abdominal adipose tissue segmentation and quantification using free-breathing 3D MRIWenwen Zhang, Sevgi Gokce Kafali, Timothy Adamos, et al.
Scientific Reports|October 7, 2021
Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individualsChih-Chiang Chang, Zi-Yu Huang, Shu-Fu Shih, et al.
Pageof 3