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Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University|April 23, 2014
[Pathological and mammographic findings of microcalcification in calcified breast carcinoma without a mass]Weiguo Chen, Genggeng Qin, Weimin Xu, et al.
Quantitative Imaging in Medicine and Surgery|August 3, 2021
Can the delayed phase of quantitative contrast-enhanced mammography improve the diagnostic performance on breast masses?Weimin Xu, Bowen Zheng, Weiguo Chen, et al.
BMC Medical Imaging|July 2, 2025
Contrast-enhanced mammography-based interpretable machine learning model for the prediction of the molecular subtype breast cancersMengwei Ma, Weimin Xu, Jun Yang, et al.
The British Journal of Radiology|December 14, 2024
Addition of contrast-enhanced mammography enhancement patterns and morphology for differentiating benign from malignant papillary breast lesionsWeimin Xu, Lingjian Chen, Weixiong Zeng, et al.
Dento Maxillo Facial Radiology|October 24, 2019
Head and neck osteosarcoma: CT and MR imaging featuresZhendong Luo, Weiguo Chen, Xinping Shen, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 8, 2024
Time-Series MR Images Identifying Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using a Deep Learning ApproachJialing Liu, Xu Li, Gang Wang, et al.
Technology in Cancer Research & Treatment|December 17, 2021
Pure and Mixed Tubular Carcinoma of the Breast: Mammographic Features, Clinicopathological Characteristics and Prognostic AnalysisChanjuan Wen, Weimin Xu, Genggeng Qin, et al.
The British Journal of Radiology|March 23, 2024
Breast masses with rim enhancement on contrast-enhanced mammography: morphological and enhancement features for diagnosis and differentiation of benign and malignantChanjuan Wen, Sina Wang, Mengwei Ma, et al.
Technology in Cancer Research & Treatment|April 17, 2025
Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound IntegrationWeimin Xu, Bowen Zheng, Chanjuan Wen, et al.
European Radiology|October 14, 2021
Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithmsMengwei Ma, Renyi Liu, Chanjuan Wen, et al.
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