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

Shangran Qiu

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

Pageof 1
Sort By:
Alzheimer'S & Dementia (Amsterdam, Netherlands)|November 28, 2018
Fusion of deep learning models of MRI scans, Mini-Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairmentShangran Qiu, Gary H Chang, Marcello Panagia, et al.
European Radiology|February 15, 2020
Assessment of knee pain from MR imaging using a convolutional Siamese networkGary H Chang, David T Felson, Shangran Qiu, et al.
European Radiology|July 24, 2020
Correction to: Assessment of knee pain from MR imaging using a convolutional Siamese networkGary H Chang, David T Felson, Shangran Qiu, et al.
Scientific Reports|May 26, 2016
Improving resolution in quantum subnanometre-gap tip-enhanced Raman nanoimagingYingchao Zhang, Dmitri V Voronine, Shangran Qiu, et al.
Alzheimer'S Research & Therapy|March 15, 2021
Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learningXiao Zhou, Shangran Qiu, Prajakta S Joshi, et al.
Iscience|August 30, 2023
Deep learning for risk-based stratification of cognitively impaired individualsMichael F Romano, Xiao Zhou, Akshara R Balachandra, et al.
Brain : a Journal of Neurology|May 2, 2020
Development and validation of an interpretable deep learning framework for Alzheimer's disease classificationShangran Qiu, Prajakta S Joshi, Matthew I Miller, et al.
Nature Communications|June 20, 2022
Multimodal deep learning for Alzheimer's disease dementia assessmentShangran Qiu, Matthew I Miller, Prajakta S Joshi, et al.
Pageof 1

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

Sort By:
Pageof 1
Alzheimer'S & Dementia (Amsterdam, Netherlands)|November 28, 2018
Fusion of deep learning models of MRI scans, Mini-Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairmentShangran Qiu, Gary H Chang, Marcello Panagia, et al.
European Radiology|February 15, 2020
Assessment of knee pain from MR imaging using a convolutional Siamese networkGary H Chang, David T Felson, Shangran Qiu, et al.
European Radiology|July 24, 2020
Correction to: Assessment of knee pain from MR imaging using a convolutional Siamese networkGary H Chang, David T Felson, Shangran Qiu, et al.
Scientific Reports|May 26, 2016
Improving resolution in quantum subnanometre-gap tip-enhanced Raman nanoimagingYingchao Zhang, Dmitri V Voronine, Shangran Qiu, et al.
Alzheimer'S Research & Therapy|March 15, 2021
Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learningXiao Zhou, Shangran Qiu, Prajakta S Joshi, et al.
Iscience|August 30, 2023
Deep learning for risk-based stratification of cognitively impaired individualsMichael F Romano, Xiao Zhou, Akshara R Balachandra, et al.
Brain : a Journal of Neurology|May 2, 2020
Development and validation of an interpretable deep learning framework for Alzheimer's disease classificationShangran Qiu, Prajakta S Joshi, Matthew I Miller, et al.
Nature Communications|June 20, 2022
Multimodal deep learning for Alzheimer's disease dementia assessmentShangran Qiu, Matthew I Miller, Prajakta S Joshi, et al.
Pageof 1