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

Zaiyi Liu

Showing results (101-110 of 285) with videos related to

Pageof 29
Sort By:
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 28, 2021
Diagnostic challenges in primary cardiac lymphoma, the opportunity of <sup>18</sup>F-FDG PET/CT integrated with contrast-enhanced CTEntao Liu, Jia Huang, Haojian Dong, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2022
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography imagesLiwen Zhang, Lianzhen Zhong, Cong Li, et al.
EJNMMI Research|July 10, 2023
Sub-minute acquisition with deep learning-based image filter in the diagnosis of colorectal cancers using total-body <sup>18</sup>F-FDG PET/CTEntao Liu, Zejian Lyu, Yuelong Yang, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 22, 2015
Can intravoxel incoherent motion diffusion-weighted imaging characterize the cellular injury and microcirculation alteration in hepatic ischemia-reperfusion injury? An animal studyWeitao Ye, Jinglei Li, Chengwei Guo, et al.
Clinical and Translational Medicine|June 29, 2020
Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital pathology image featuresFang Zhang, Su Yao, Zhi Li, et al.
International Journal of Surgery (London, England)|February 13, 2024
A computed tomography-based multitask deep learning model for predicting tumour stroma ratio and treatment outcomes in patients with colorectal cancer: a multicentre cohort studyYanfen Cui, Ke Zhao, Xiaochun Meng, et al.
Quantitative Imaging in Medicine and Surgery|September 15, 2023
Value of mammographic microcalcifications and MRI-enhanced lesions in the evaluation of residual disease after neoadjuvant therapy for breast cancerChao Zhu, Minglei Chen, Yulin Liu, et al.
NPJ Breast Cancer|June 17, 2026
Predicting early-stage breast cancer disease-free survival and adjuvant therapy benefit from multimodal information using deep learningYifan Yu, Zeyan Xu, Zejun Zhu, et al.
Journal of Hip Preservation Surgery|September 27, 2021
Novel MRI technique for the quantification of biochemical deterioration in steroid-induced osteonecrosis of femoral head: a prospective diagnostic trialXiaorui Han, Guoju Hong, Yuan Guo, et al.
JACC. Cardiovascular Imaging|June 22, 2015
Predictors of Interventional Success of Antegrade PCI for CTOChun Luo, Meiping Huang, Jinglei Li, et al.
Pageof 29

Showing results (101-110 of 285) with videos related to

Sort By:
Pageof 29
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 28, 2021
Diagnostic challenges in primary cardiac lymphoma, the opportunity of <sup>18</sup>F-FDG PET/CT integrated with contrast-enhanced CTEntao Liu, Jia Huang, Haojian Dong, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2022
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography imagesLiwen Zhang, Lianzhen Zhong, Cong Li, et al.
EJNMMI Research|July 10, 2023
Sub-minute acquisition with deep learning-based image filter in the diagnosis of colorectal cancers using total-body <sup>18</sup>F-FDG PET/CTEntao Liu, Zejian Lyu, Yuelong Yang, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 22, 2015
Can intravoxel incoherent motion diffusion-weighted imaging characterize the cellular injury and microcirculation alteration in hepatic ischemia-reperfusion injury? An animal studyWeitao Ye, Jinglei Li, Chengwei Guo, et al.
Clinical and Translational Medicine|June 29, 2020
Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital pathology image featuresFang Zhang, Su Yao, Zhi Li, et al.
International Journal of Surgery (London, England)|February 13, 2024
A computed tomography-based multitask deep learning model for predicting tumour stroma ratio and treatment outcomes in patients with colorectal cancer: a multicentre cohort studyYanfen Cui, Ke Zhao, Xiaochun Meng, et al.
Quantitative Imaging in Medicine and Surgery|September 15, 2023
Value of mammographic microcalcifications and MRI-enhanced lesions in the evaluation of residual disease after neoadjuvant therapy for breast cancerChao Zhu, Minglei Chen, Yulin Liu, et al.
NPJ Breast Cancer|June 17, 2026
Predicting early-stage breast cancer disease-free survival and adjuvant therapy benefit from multimodal information using deep learningYifan Yu, Zeyan Xu, Zejun Zhu, et al.
Journal of Hip Preservation Surgery|September 27, 2021
Novel MRI technique for the quantification of biochemical deterioration in steroid-induced osteonecrosis of femoral head: a prospective diagnostic trialXiaorui Han, Guoju Hong, Yuan Guo, et al.
JACC. Cardiovascular Imaging|June 22, 2015
Predictors of Interventional Success of Antegrade PCI for CTOChun Luo, Meiping Huang, Jinglei Li, et al.
Pageof 29