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Haojiang Li

Showing results (11-20 of 82) with videos related to

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Biomed Research International|March 10, 2020
Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma PrognosisChunyan Cui, Shunxin Wang, Jian Zhou, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 8, 2021
Differences in Radiomics Signatures Between Patients with Early and Advanced T-Stage Nasopharyngeal Carcinoma Facilitate PrognosticationShuangshuang Wu, Haojiang Li, Annan Dong, et al.
Computers in Biology and Medicine|April 28, 2023
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentationYuanquan Hao, Huiyan Jiang, Zhaoshuo Diao, et al.
Frontiers in Human Neuroscience|January 27, 2023
BSMM-Net: Multi-modal neural network based on bilateral symmetry for nasopharyngeal carcinoma segmentationHaoyang Zhou, Haojiang Li, Shuchao Chen, et al.
Head & Neck|March 28, 2024
Optimal cut-off value for identifying objective response in patients with nasopharyngeal carcinoma after induction chemotherapyChao Luo, Wenjie Huang, Shuqi Li, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|April 28, 2020
Predicting poor response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer: Model constructed using pre-treatment MRI features of structured report templateXiaofeng Tang, Wu Jiang, Haojiang Li, et al.
Frontiers in Oncology|June 18, 2020
A Nomogram for Predicting Distant Metastasis Using Nodal-Related Features Among Patients With Nasopharyngeal CarcinomaChuanbo Xie, Haojiang Li, Yue Yan, et al.
European Radiology|April 19, 2022
Prognostic value of quantitative cervical nodal necrosis burden on MRI in nasopharyngeal carcinoma and its role as a stratification marker for induction chemotherapyJiao Li, Qin Zhao, Yun Zhang, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 30, 2020
Prognostic Value of Nodal Matting on MRI in Nasopharyngeal Carcinoma PatientsHuali Ma, Yinyi Qiu, Haojiang Li, et al.
Medical Physics|January 15, 2026
Small and large-scale information collaborative unet for metastatic lymph node segmentation of multi-modal nasopharyngeal carcinoma MRI imagesHaoyang Zhou, Hui Xie, Shuchao Chen, et al.
Pageof 9

Showing results (11-20 of 82) with videos related to

Sort By:
Pageof 9
Biomed Research International|March 10, 2020
Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma PrognosisChunyan Cui, Shunxin Wang, Jian Zhou, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 8, 2021
Differences in Radiomics Signatures Between Patients with Early and Advanced T-Stage Nasopharyngeal Carcinoma Facilitate PrognosticationShuangshuang Wu, Haojiang Li, Annan Dong, et al.
Computers in Biology and Medicine|April 28, 2023
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentationYuanquan Hao, Huiyan Jiang, Zhaoshuo Diao, et al.
Frontiers in Human Neuroscience|January 27, 2023
BSMM-Net: Multi-modal neural network based on bilateral symmetry for nasopharyngeal carcinoma segmentationHaoyang Zhou, Haojiang Li, Shuchao Chen, et al.
Head & Neck|March 28, 2024
Optimal cut-off value for identifying objective response in patients with nasopharyngeal carcinoma after induction chemotherapyChao Luo, Wenjie Huang, Shuqi Li, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|April 28, 2020
Predicting poor response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer: Model constructed using pre-treatment MRI features of structured report templateXiaofeng Tang, Wu Jiang, Haojiang Li, et al.
Frontiers in Oncology|June 18, 2020
A Nomogram for Predicting Distant Metastasis Using Nodal-Related Features Among Patients With Nasopharyngeal CarcinomaChuanbo Xie, Haojiang Li, Yue Yan, et al.
European Radiology|April 19, 2022
Prognostic value of quantitative cervical nodal necrosis burden on MRI in nasopharyngeal carcinoma and its role as a stratification marker for induction chemotherapyJiao Li, Qin Zhao, Yun Zhang, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 30, 2020
Prognostic Value of Nodal Matting on MRI in Nasopharyngeal Carcinoma PatientsHuali Ma, Yinyi Qiu, Haojiang Li, et al.
Medical Physics|January 15, 2026
Small and large-scale information collaborative unet for metastatic lymph node segmentation of multi-modal nasopharyngeal carcinoma MRI imagesHaoyang Zhou, Hui Xie, Shuchao Chen, et al.
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