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Haicheng Zhang

Showing results (61-70 of 86) with videos related to

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Journal of X-Ray Science and Technology|February 6, 2023
Radiomics nomogram for predicting axillary lymph node metastasis in breast cancer based on DCE-MRI: A multicenter studyJiwen Zhang, Zhongsheng Zhang, Ning Mao, et al.
Frontiers in Endocrinology|June 20, 2022
Extrathyroidal Extension Prediction of Papillary Thyroid Cancer With Computed Tomography Based Radiomics Nomogram: A Multicenter StudyPengyi Yu, Xinxin Wu, Jingjing Li, et al.
Frontiers in Oncology|July 26, 2024
Radiogenomics nomogram based on MRI and microRNAs to predict microvascular invasion of hepatocellular carcinomaGuangchao Hu, Jianyi Qu, Jie Gao, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|July 11, 2025
Deep learning-based differentiation of benign and malignant thyroid follicular neoplasms on multiscale intraoperative frozen pathological images: A multicenter diagnostic studyJiahui Liu, Chuanguang Xiao, Haicheng Zhang, et al.
European Radiology|April 4, 2023
Intra- and peritumoral radiomics for predicting malignant BiRADS category 4 breast lesions on contrast-enhanced spectral mammography: a multicenter studyShijie Zhang, Huafei Shao, Wenjuan Li, et al.
International Journal of Surgery (London, England)|May 15, 2024
Artificial intelligence-based classification of breast lesion from contrast enhanced mammography: a multicenter studyHaicheng Zhang, Fan Lin, Tiantian Zheng, et al.
Eclinicalmedicine|March 27, 2023
Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre studyTiantian Zheng, Fan Lin, Xianglin Li, et al.
Nature Ecology & Evolution|February 6, 2026
Microbial growth rate is a stronger predictor of soil organic carbon than carbon use efficiencyXianjin He, Gaëlle Marmasse, Junxi Hu, et al.
Scientific Reports|January 8, 2016
Severe summer heatwave and drought strongly reduced carbon uptake in Southern ChinaWenping Yuan, Wenwen Cai, Yang Chen, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 6, 2024
Development and Validation of a Deep Learning System to Differentiate HER2-Zero, HER2-Low, and HER2-Positive Breast Cancer Based on Dynamic Contrast-Enhanced MRIYi Dai, Chun Lian, Zhuo Zhang, et al.
Pageof 9

Showing results (61-70 of 86) with videos related to

Sort By:
Pageof 9
Journal of X-Ray Science and Technology|February 6, 2023
Radiomics nomogram for predicting axillary lymph node metastasis in breast cancer based on DCE-MRI: A multicenter studyJiwen Zhang, Zhongsheng Zhang, Ning Mao, et al.
Frontiers in Endocrinology|June 20, 2022
Extrathyroidal Extension Prediction of Papillary Thyroid Cancer With Computed Tomography Based Radiomics Nomogram: A Multicenter StudyPengyi Yu, Xinxin Wu, Jingjing Li, et al.
Frontiers in Oncology|July 26, 2024
Radiogenomics nomogram based on MRI and microRNAs to predict microvascular invasion of hepatocellular carcinomaGuangchao Hu, Jianyi Qu, Jie Gao, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|July 11, 2025
Deep learning-based differentiation of benign and malignant thyroid follicular neoplasms on multiscale intraoperative frozen pathological images: A multicenter diagnostic studyJiahui Liu, Chuanguang Xiao, Haicheng Zhang, et al.
European Radiology|April 4, 2023
Intra- and peritumoral radiomics for predicting malignant BiRADS category 4 breast lesions on contrast-enhanced spectral mammography: a multicenter studyShijie Zhang, Huafei Shao, Wenjuan Li, et al.
International Journal of Surgery (London, England)|May 15, 2024
Artificial intelligence-based classification of breast lesion from contrast enhanced mammography: a multicenter studyHaicheng Zhang, Fan Lin, Tiantian Zheng, et al.
Eclinicalmedicine|March 27, 2023
Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre studyTiantian Zheng, Fan Lin, Xianglin Li, et al.
Nature Ecology & Evolution|February 6, 2026
Microbial growth rate is a stronger predictor of soil organic carbon than carbon use efficiencyXianjin He, Gaëlle Marmasse, Junxi Hu, et al.
Scientific Reports|January 8, 2016
Severe summer heatwave and drought strongly reduced carbon uptake in Southern ChinaWenping Yuan, Wenwen Cai, Yang Chen, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 6, 2024
Development and Validation of a Deep Learning System to Differentiate HER2-Zero, HER2-Low, and HER2-Positive Breast Cancer Based on Dynamic Contrast-Enhanced MRIYi Dai, Chun Lian, Zhuo Zhang, et al.
Pageof 9