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Medical Ultrasonography|August 26, 2023
An overview of ultrasound-derived radiomics and deep learning in liverDi Zhang, Xian-Ya Zhang, Ya-Yang Duan, et al.Abdominal Radiology (New York)|March 10, 2024
Predicting Ki-67 expression in hepatocellular carcinoma: nomogram based on clinical factors and contrast-enhanced ultrasound radiomics signaturesDi Zhang, Xian-Ya Zhang, Wen-Wu Lu, et al.Cancer Imaging : the Official Publication of the International Cancer Imaging Society|February 13, 2025
Predicting lymph node metastasis in papillary thyroid carcinoma: radiomics using two types of ultrasound elastographyXian-Ya Zhang, Di Zhang, Wang Zhou, et al.Frontiers in Oncology|September 16, 2024
Clinical value of ACR O-RADS combined with CA125 in the risk stratification of adnexal massesRui-Ke Pan, Shu-Qin Zhang, Xian-Ya Zhang, et al.Frontiers in Oncology|March 18, 2024
A narrative review on the application of artificial intelligence in renal ultrasoundTong Xu, Xian-Ya Zhang, Na Yang, et al.Frontiers in Oncology|September 16, 2024
A model based on C-TIRADS combined with SWE for predicting Bethesda I thyroid nodulesAn Wei, Yu-Long Tang, Shi-Chu Tang, et al.Frontiers in Oncology|June 19, 2023
Artificial intelligence - based ultrasound elastography for disease evaluation - a narrative reviewXian-Ya Zhang, Qi Wei, Ge-Ge Wu, et al.Medical Physics|October 30, 2024
Automatic tumor segmentation and lymph node metastasis prediction in papillary thyroid carcinoma using ultrasound keyframesXian-Ya Zhang, Di Zhang, Zhi-Yuan Wang, et al.Academic Radiology|April 1, 2023
Predicting Malignancy of Thyroid Micronodules: Radiomics Analysis Based on Two Types of Ultrasound Elastography ImagesXian-Ya Zhang, Di Zhang, Lin-Zhi Han, et al.Academic Radiology|March 7, 2024
A Comparative Study of Two Radiomics-Based Blood Flow Modes with Thyroid Imaging Reporting and Data System in Predicting Malignancy of Thyroid Nodules and Reducing Unnecessary Fine-Needle Aspiration RateJia-Yu Ren, Jian-Jun Lin, Wen-Zhi Lv, et al.Pageof 2