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

Qinghao Ye

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

Pageof 1
Sort By:
An International Journal on Information Fusion|January 4, 2022
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyondGuang Yang, Qinghao Ye, Jun Xia
Scientific Reports|May 10, 2014
Design principles for single standing nanowire solar cells: going beyond the planar efficiency limitsYang Zeng, Qinghao Ye, Wenzhong Shen
Nanotechnology|March 4, 2014
Enhanced carrier extraction of a-Si/c-Si solar cells by nanopillar-induced optical modulationYang Zeng, Hong Liu, Qinghao Ye, et al.
Applied Optics|August 3, 2002
Dispersion measurement of tapered air-silica microstructure fiber by white-light interferometryQinghao Ye, Chris Xu, Xiang Liu, et al.
Neural Computing & Applications|March 1, 2022
AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalusXi Zhou, Qinghao Ye, Xiaolin Yang, et al.
Frontiers in Aging Neuroscience|January 4, 2021
Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective StudyXi Zhou, Qinghao Ye, Yinghui Jiang, et al.
Applied Soft Computing|December 22, 2021
Robust weakly supervised learning for COVID-19 recognition using multi-center CT imagesQinghao Ye, Yuan Gao, Weiping Ding, et al.
Frontiers in Medicine|July 1, 2021
Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 InfectionsHuijing Ma, Qinghao Ye, Weiping Ding, et al.
Pageof 1

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

Sort By:
Pageof 1
An International Journal on Information Fusion|January 4, 2022
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyondGuang Yang, Qinghao Ye, Jun Xia
Scientific Reports|May 10, 2014
Design principles for single standing nanowire solar cells: going beyond the planar efficiency limitsYang Zeng, Qinghao Ye, Wenzhong Shen
Nanotechnology|March 4, 2014
Enhanced carrier extraction of a-Si/c-Si solar cells by nanopillar-induced optical modulationYang Zeng, Hong Liu, Qinghao Ye, et al.
Applied Optics|August 3, 2002
Dispersion measurement of tapered air-silica microstructure fiber by white-light interferometryQinghao Ye, Chris Xu, Xiang Liu, et al.
Neural Computing & Applications|March 1, 2022
AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalusXi Zhou, Qinghao Ye, Xiaolin Yang, et al.
Frontiers in Aging Neuroscience|January 4, 2021
Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective StudyXi Zhou, Qinghao Ye, Yinghui Jiang, et al.
Applied Soft Computing|December 22, 2021
Robust weakly supervised learning for COVID-19 recognition using multi-center CT imagesQinghao Ye, Yuan Gao, Weiping Ding, et al.
Frontiers in Medicine|July 1, 2021
Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 InfectionsHuijing Ma, Qinghao Ye, Weiping Ding, et al.
Pageof 1