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European Radiology|August 30, 2025
Synthesize contrast-enhanced ultrasound image of thyroid nodules via generative adversarial networksMin Lai, Jincao Yao, Yahan Zhou, et al.
Breast Cancer Research and Treatment|August 28, 2023
Ultrasound and clinicopathological characteristics-based model for prediction of pathologic response to neoadjuvant chemotherapy in HER2-positive breast cancer: a case-control studyLin Sui, Yuqi Yan, Tian Jiang, et al.
European Journal of Radiology|August 18, 2023
The auxiliary diagnosis of thyroid echogenic foci based on a deep learning segmentation model: A two-center studyYuanzhen Liu, Chen Chen, Kai Wang, et al.
Cell Stem Cell|December 28, 2010
A human iPSC model of Hutchinson Gilford Progeria reveals vascular smooth muscle and mesenchymal stem cell defectsJinqiu Zhang, Qizhou Lian, Guili Zhu, et al.
Translational Cancer Research|March 14, 2022
Knockdown of TRIM44 inhibits the progression of ovarian cancer and is related to the FOXM1-EZH2 signaling pathwayFanling Meng, Jing Ding, Wei Xu, et al.
Academic Radiology|July 2, 2026
Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer using a Longitudinal US-based Stack-modelTian Jiang, Xin Li, Jiafei Shen, et al.
Academic Radiology|May 28, 2025
Improving Breast Cancer Diagnosis in Ultrasound Images Using Deep Learning with Feature Fusion and Attention MechanismSohaib Asif, Yuqi Yan, Bojian Feng, et al.
Ultrasound in Medicine & Biology|July 26, 2025
The Clinical Utility of Ultrasound and Serological Features Derived Nomogram for the Prediction of Lateral Lymph Node Metastases in Medullary Thyroid CancerZhiyan Jin, Limin Xu, Chen Chen, et al.
Plos One|June 16, 2015
Actin Disorganization Plays a Vital Role in Impaired Embryonic Development of In Vitro-Produced Mouse Preimplantation EmbryosKun Tan, Lei An, Shu-Min Wang, et al.
European Journal of Cancer (Oxford, England : 1990)|December 6, 2025
Prediction of HER2 changes post-neoadjuvant therapy based on fusion of ultrasound radiomics and clinicopathological features empowered by explainable AI: A multicenter studyYuqi Yan, Xinzheng Xue, Jiayu Xie, et al.
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