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

Yunchao Yin

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Journal of Hazardous Materials|September 14, 2016
In situ growing Bi<sub>2</sub>MoO<sub>6</sub> on g-C<sub>3</sub>N<sub>4</sub> nanosheets with enhanced photocatalytic hydrogen evolution and disinfection of bacteria under visible light irradiationJuan Li, Yunchao Yin, Enzhou Liu, et al.
Diagnostics (Basel, Switzerland)|February 25, 2022
Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis StagingYunchao Yin, Derya Yakar, Rudi A J O Dierckx, et al.
European Radiology|November 26, 2022
Optimal radiological gallbladder lesion characterization by combining visual assessment with CT-based radiomicsYunchao Yin, Derya Yakar, Jules J G Slangen, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
The Value of Deep Learning in Gallbladder Lesion CharacterizationYunchao Yin, Derya Yakar, Jules J G Slangen, et al.
European Radiology|May 20, 2021
Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the modelYunchao Yin, Derya Yakar, Rudi A J O Dierckx, et al.
Abdominal Radiology (New York)|January 30, 2024
Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CTYunchao Yin, Robbert J de Haas, Natalia Alves, et al.
Nature Communications|February 1, 2024
Mesoporous carbon spheres with programmable interiors as efficient nanoreactors for H<sub>2</sub>O<sub>2</sub> electrosynthesisQiang Tian, Lingyan Jing, Hongnan Du, et al.
Nano Letters|January 24, 2024
Nanoengineering of Porous 2D Structures with Tunable Fluid Transport Behavior for Exceptional H<sub>2</sub>O<sub>2</sub> ElectrosynthesisQiang Tian, Lingyan Jing, Yunchao Yin, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Hazardous Materials|September 14, 2016
In situ growing Bi<sub>2</sub>MoO<sub>6</sub> on g-C<sub>3</sub>N<sub>4</sub> nanosheets with enhanced photocatalytic hydrogen evolution and disinfection of bacteria under visible light irradiationJuan Li, Yunchao Yin, Enzhou Liu, et al.
Diagnostics (Basel, Switzerland)|February 25, 2022
Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis StagingYunchao Yin, Derya Yakar, Rudi A J O Dierckx, et al.
European Radiology|November 26, 2022
Optimal radiological gallbladder lesion characterization by combining visual assessment with CT-based radiomicsYunchao Yin, Derya Yakar, Jules J G Slangen, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
The Value of Deep Learning in Gallbladder Lesion CharacterizationYunchao Yin, Derya Yakar, Jules J G Slangen, et al.
European Radiology|May 20, 2021
Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the modelYunchao Yin, Derya Yakar, Rudi A J O Dierckx, et al.
Abdominal Radiology (New York)|January 30, 2024
Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CTYunchao Yin, Robbert J de Haas, Natalia Alves, et al.
Nature Communications|February 1, 2024
Mesoporous carbon spheres with programmable interiors as efficient nanoreactors for H<sub>2</sub>O<sub>2</sub> electrosynthesisQiang Tian, Lingyan Jing, Hongnan Du, et al.
Nano Letters|January 24, 2024
Nanoengineering of Porous 2D Structures with Tunable Fluid Transport Behavior for Exceptional H<sub>2</sub>O<sub>2</sub> ElectrosynthesisQiang Tian, Lingyan Jing, Yunchao Yin, et al.
Pageof 1