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

Yingli Sun

Showing results (51-60 of 92) with videos related to

Pageof 10
Sort By:
Biochemical and Biophysical Research Communications|September 21, 2014
Dimer monomer transition and dimer re-formation play important role for ATM cellular function during DNA repairFengxia Du, Minjie Zhang, Xiaohua Li, et al.
European Radiology|March 13, 2020
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive predictionYingli Sun, Cheng Li, Liang Jin, et al.
Respiratory Research|November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screeningBin Chen, Ziyi Liu, Jinjuan Lu, et al.
Quantitative Imaging in Medicine and Surgery|December 19, 2024
Exploring the optimal threshold of 3D consolidation tumor ratio value segmentation based on artificial intelligence for predicting the invasive degree of T1 lung adenocarcinomaWensong Shi, Yuzhui Hu, Yingli Sun, et al.
Quantitative Imaging in Medicine and Surgery|July 29, 2025
Identification of the optimal threshold for predicting the infiltration degree of T1-stage lung adenocarcinoma using solid component volume and three-dimensional consolidation-to-tumor ratio in threshold segmentationWensong Shi, Zhengpan Wei, Yuzhui Hu, et al.
Cell Research|January 17, 2015
GATA family members as inducers for cellular reprogramming to pluripotencyJian Shu, Ke Zhang, Minjie Zhang, et al.
Cancer Research|October 4, 2018
3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary AdenocarcinomasWei Zhao, Jiancheng Yang, Yingli Sun, et al.
Quantitative Imaging in Medicine and Surgery|January 22, 2025
Exploration of optimal thresholds for predicting the invasive nature of stage T1 lung adenocarcinoma using artificial intelligence-based 3D solid component volume segmentationWensong Shi, Yuzhui Hu, Yingli Sun, et al.
Frontiers in Oncology|January 30, 2020
The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung AdenocarcinomaWei Zhao, Yuzhi Wu, Ya'nan Xu, et al.
Ebiomedicine|November 13, 2020
Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNetLiang Jin, Jiancheng Yang, Kaiming Kuang, et al.
Pageof 10

Showing results (51-60 of 92) with videos related to

Sort By:
Pageof 10
Biochemical and Biophysical Research Communications|September 21, 2014
Dimer monomer transition and dimer re-formation play important role for ATM cellular function during DNA repairFengxia Du, Minjie Zhang, Xiaohua Li, et al.
European Radiology|March 13, 2020
Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive predictionYingli Sun, Cheng Li, Liang Jin, et al.
Respiratory Research|November 29, 2023
Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screeningBin Chen, Ziyi Liu, Jinjuan Lu, et al.
Quantitative Imaging in Medicine and Surgery|December 19, 2024
Exploring the optimal threshold of 3D consolidation tumor ratio value segmentation based on artificial intelligence for predicting the invasive degree of T1 lung adenocarcinomaWensong Shi, Yuzhui Hu, Yingli Sun, et al.
Quantitative Imaging in Medicine and Surgery|July 29, 2025
Identification of the optimal threshold for predicting the infiltration degree of T1-stage lung adenocarcinoma using solid component volume and three-dimensional consolidation-to-tumor ratio in threshold segmentationWensong Shi, Zhengpan Wei, Yuzhui Hu, et al.
Cell Research|January 17, 2015
GATA family members as inducers for cellular reprogramming to pluripotencyJian Shu, Ke Zhang, Minjie Zhang, et al.
Cancer Research|October 4, 2018
3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary AdenocarcinomasWei Zhao, Jiancheng Yang, Yingli Sun, et al.
Quantitative Imaging in Medicine and Surgery|January 22, 2025
Exploration of optimal thresholds for predicting the invasive nature of stage T1 lung adenocarcinoma using artificial intelligence-based 3D solid component volume segmentationWensong Shi, Yuzhui Hu, Yingli Sun, et al.
Frontiers in Oncology|January 30, 2020
The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung AdenocarcinomaWei Zhao, Yuzhi Wu, Ya'nan Xu, et al.
Ebiomedicine|November 13, 2020
Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNetLiang Jin, Jiancheng Yang, Kaiming Kuang, et al.
Pageof 10