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Quantitative Imaging in Medicine and Surgery|January 17, 2017
Bone marrow edema-like lesions (BMELs) are associated with higher T1ρ and T2 values of cartilage in anterior cruciate ligament (ACL)-reconstructed knees: a longitudinal studyJingshan Gong, Valentina Pedoia, Luca Facchetti, et al.
BMC Medical Imaging|February 9, 2026
Multiparametric MRI approach identifies pathologic complete response in patients with local advanced rectal cancer after neoadjuvant therapyYudie Pan, Shuxing Wang, Xiaowen Liu, et al.
Clinical Imaging|March 8, 2011
Imaging of partial right double vena cava with ureter crossing through its split, confirmed at surgeryJingshan Gong, Hongtao Jiang, Te Liu, et al.
Journal of Thoracic Disease|December 23, 2017
CT findings of pulmonary nocardiosis: a report of 9 casesBaoliang Liu, Yuanlong Zhang, Jingshan Gong, et al.
Quantitative Imaging in Medicine and Surgery|April 21, 2018
Deep infiltrating endometriosis MR imaging with surgical correlationXue Tang, Rennan Ling, Jingshan Gong, et al.
Academic Radiology|January 6, 2024
CT-Based Super-Resolution Deep Learning Models with Attention Mechanisms for Predicting Spread Through Air Spaces of Solid or Part-Solid Lung AdenocarcinomaShuxing Wang, Xiaowen Liu, Changsi Jiang, et al.
European Radiology|March 1, 2020
CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinomaChangsi Jiang, Yan Luo, Jialin Yuan, et al.
European Journal of Radiology|November 21, 2025
Mr-based radiomics analysis of intra-tumor heterogeneity for early treatment response prediction in locally advanced cervical cancer treated with concurrent chemoradiotherapyShuxing Wang, Xiaowen Liu, Zhenguo Wang, et al.
Japanese Journal of Radiology|January 26, 2022
Development and validation of a CT-based nomogram to predict spread through air space (STAS) in peripheral stage IA lung adenocarcinomaYaxi Chen, Changsi Jiang, Wenyan Kang, et al.
Clinical Imaging|May 5, 2009
Imaging findings of abdominal peripheral primitive neuroectodermal tumor: report of four cases with pathological correlationJingshan Gong, Yue Zhang, Min Zuo, et al.
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