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

Haicheng Zhang

Showing results (41-50 of 86) with videos related to

Pageof 9
Sort By:
Frontiers in Oncology|May 16, 2022
Radiomics Model for Predicting TP53 Status Using CT and Machine Learning Approach in Laryngeal Squamous Cell CarcinomaRuxian Tian, Yumei Li, Chuanliang Jia, et al.
BMC Medical Imaging|November 21, 2025
Predicting axillary lymph node metastasis in breast cancer patients using CNN-GCN on DCE-MRI: a multicenter studyYi Dai, Yun Liang, Lingling Sun, et al.
Academic Radiology|May 20, 2023
CT Radiomics-Based Nomogram for Predicting the Lateral Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Prospective Multicenter StudyLuchao Dong, Xiao Han, Pengyi Yu, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|November 14, 2024
Deep learning-based automatic pipeline system for predicting lateral cervical lymph node metastasis in patients with papillary thyroid carcinoma using computed tomography: A multi-center studyPengyi Yu, Cai Wang, Haicheng Zhang, et al.
Experimental Physiology|June 8, 2017
Effects of oestrogen and Cimicifuga racemosa on the cardiac noradrenaline pathway of ovariectomized ratsYao Liu, Jing Zhang, Shuya Liu, et al.
Academic Radiology|April 23, 2023
Intra- and Peritumoral Radiomics of Contrast-Enhanced Mammography Predicts Axillary Lymph Node Metastasis in Patients With Breast Cancer: A Multicenter StudyZhongyi Wang, Haicheng Zhang, Fan Lin, et al.
European Radiology|January 23, 2022
Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammographyNing Mao, Yinghong Shi, Chun Lian, et al.
National Science Review|March 10, 2025
It is time to optimize forest management policy for both carbon sinks and wood harvest in ChinaXi Li, Haicheng Zhang, Rong Shang, et al.
Academic Radiology|December 9, 2023
Development and Validation of a Computed Tomography-Based Radiomics Nomogram for the Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid MicrocarcinomaYakui Mou, Xiao Han, Jingjing Li, et al.
British Journal of Cancer|December 15, 2022
Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre studyNing Mao, Haicheng Zhang, Yi Dai, et al.
Pageof 9

Showing results (41-50 of 86) with videos related to

Sort By:
Pageof 9
Frontiers in Oncology|May 16, 2022
Radiomics Model for Predicting TP53 Status Using CT and Machine Learning Approach in Laryngeal Squamous Cell CarcinomaRuxian Tian, Yumei Li, Chuanliang Jia, et al.
BMC Medical Imaging|November 21, 2025
Predicting axillary lymph node metastasis in breast cancer patients using CNN-GCN on DCE-MRI: a multicenter studyYi Dai, Yun Liang, Lingling Sun, et al.
Academic Radiology|May 20, 2023
CT Radiomics-Based Nomogram for Predicting the Lateral Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Prospective Multicenter StudyLuchao Dong, Xiao Han, Pengyi Yu, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|November 14, 2024
Deep learning-based automatic pipeline system for predicting lateral cervical lymph node metastasis in patients with papillary thyroid carcinoma using computed tomography: A multi-center studyPengyi Yu, Cai Wang, Haicheng Zhang, et al.
Experimental Physiology|June 8, 2017
Effects of oestrogen and Cimicifuga racemosa on the cardiac noradrenaline pathway of ovariectomized ratsYao Liu, Jing Zhang, Shuya Liu, et al.
Academic Radiology|April 23, 2023
Intra- and Peritumoral Radiomics of Contrast-Enhanced Mammography Predicts Axillary Lymph Node Metastasis in Patients With Breast Cancer: A Multicenter StudyZhongyi Wang, Haicheng Zhang, Fan Lin, et al.
European Radiology|January 23, 2022
Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammographyNing Mao, Yinghong Shi, Chun Lian, et al.
National Science Review|March 10, 2025
It is time to optimize forest management policy for both carbon sinks and wood harvest in ChinaXi Li, Haicheng Zhang, Rong Shang, et al.
Academic Radiology|December 9, 2023
Development and Validation of a Computed Tomography-Based Radiomics Nomogram for the Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid MicrocarcinomaYakui Mou, Xiao Han, Jingjing Li, et al.
British Journal of Cancer|December 15, 2022
Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre studyNing Mao, Haicheng Zhang, Yi Dai, et al.
Pageof 9