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J

Jun Zhang

nanjing medical university

16H指数
98论文数
996被引数
收录论文 19
发表时间
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Deep learning for radiographic differentiation between lateral malleolar avulsion fractures and subfibular ossicles深度学习用于放射影像中区分外踝撕脱性骨折和跟腱滑囊骨块
erriScience
IF4.1
err2026-06-18
err0
errOAAI
errPeng Sun; Jinqiang Wang; Yousheng Yuan; Zihan Chen; Jiayi Liu; Liang Xia; Jun Zhang; Nan Xu
err分享
err收藏
Artificial intelligence and supply chain stabilization人工智能与供应链稳定化
errFinance Research Letters
IF6.9
err2025-12-05
err0
PREAI
errJun Zhang; Qinglai Zhang
err分享
err收藏
Accurate multi-b-value DWI generation using two-stage deep learning: multicenter study基于两阶段深度学习的准确多b值DWI生成：多中心研究
errEuropean Journal of Radiology
IF3.3
err2025-10-24
err0
PREAI
errLiang Xia; Xuan Qi; Jiayi Liu; Yousheng Yuan; Yuchun Wang; Nan Xu; Jun Zhang
err分享
err收藏
Cardiac Involvement After Exertional Heatstroke: Short-Term Cardiac MRI Follow-Up Study运动性热射病后的心脏受累：短期心脏MRI随访研究
errJournal of Magnetic Resonance Imaging
IF3.5
err2025-10-20
err0
PREAI
errJun Zhang; Xiang Kong; Li Qi; Shutian Xu; Tongyuan Liu; Jun Cai; Song Luo; Long Jiang Zhang
err分享
err收藏
Research on Dynamic Simulation and Optimization of Building Energy Consumption of Substations in Cold Regions Based on DeST: A Case Study of an Indoor Substation in Shijiazhuang基于DeST的寒区变电站建筑能耗动态模拟与优化研究：以石家庄市某室内变电站为例
errBuildings 2025, Vol. 15, Page 3706
IF0
err2025-10-15
err0
errOAAI
errJizhi Su; Jun Zhang; Gang Li; Wuchen Zhang; Haifeng Yu; Ligai Kang; Lingzhe Zhang; Xu Zhang; Jiaming Wang
err分享
err收藏
Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study基于x射线图像和临床数据构建深度学习影像组学模型预测和区分急慢性骨质疏松性椎体骨折: 一项多中心研究
errACADEMIC RADIOLOGY
IF3.9
err2024-05-01
err5
PREAI
errZhang, Jun; Xia, Liang; Tang, Jun; Xia, Jianguo; Liu, Yongkang; Zhang, Weixiao; Liu, Jiayi; Liang, Zhipeng; Zhang, Xueli; Zhang, Lin; Tang, Guangyu
err分享
err收藏
Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images探索深度学习影像组学对x线图像中骨质疏松性椎体骨折进行分类
errFRONTIERS IN ENDOCRINOLOGY
IF4.6
err2024-03-28
err4
errOAAI
errZhang, Jun; Xia, Liang; Liu, Jiayi; Niu, Xiaoying; Tang, Jun; Xia, Jianguo; Liu, Yongkang; Zhang, Weixiao; Liang, Zhipeng; Zhang, Xueli; Tang, Guangyu; Zhang, Lin
err分享
err收藏
Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999-2018
errBMC PUBLIC HEALTH
IF3.6
err2024-01-02
err36
errOAAI
errMao, Yukang; Weng, Jiayi; Xie, Qiyang; Wu, Lida; Xuan, Yanling; Zhang, Jun; Han, Jun
err分享
err收藏
Cardiovascular magnetic resonance feature tracking derived strain analysis can predict return to training following exertional heatstroke
errJOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
IF6.1
err2024-01-01
err0
errOAAI
errZhang, Jun; Luo, Song; Qi, Li; Xu, Shutian; Yi, Dongna; Jiang, Yue; Kong, Xiang; Liu, Tongyuan; Dou, Weiqiang; Cai, Jun; Zhang, Long Jiang
err分享
err收藏
Dosiomics Risk Model for Predicting Radiation Induced Temporal Lobe Injury and Guiding Individual Intensity-Modulated Radiation Therapy
errINTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
IF6.5
err2023-04-01
err9
errOAAI
errYang, Shan-Shan; OuYang, Pu-Yun; Guo, Jian-Gui; Cai, Jia-Jun; Zhang, Jun; Peng, Qing-He; He, Yun; Zhang, Bao-Yu; Liu, Zhi-Qiao; Hu, Xue-Feng; Chen, Yan-Feng; Chen, Chun-Yan; Xie, Fang-Yun
err分享
err收藏
Defining biventricular abnormalities by cardiac magnetic resonance in pre-dialysis patients with chronic kidney disease
errKIDNEY DISEASES
IF3.1
err2023-02-13
err2
errOAAI
errQi, Li; Zhi, Beibei; Zhang, Jun; Zhang, Lingyan; Luo, Song; Zhang, Longjiang
err分享
err收藏
Apigenin inhibits isoproterenol-induced myocardial fibrosis and Smad pathway in mice by regulating oxidative stress and miR-122-5p/155-5p expressions
errDRUG DEVELOPMENT RESEARCH
IF4.2
err2022-03-11
err15
PREAI
errWang, Feng; Zhang, Jun; Niu, Guanghao; Weng, Jiayi; Zhang, Qian; Xie, Meilin; Li, Chunjian; Sun, Kangyun
err分享
err收藏
Post-systolic shortening is superior to global longitudinal strain in predicting adverse events in patients with stable coronary artery disease and preserved systolic function
errINSIGHTS INTO IMAGING
IF4.5
err2022-03-02
err9
errOAAI
errLu, Shirui; Hu, Xin; Zhang, Jun; Zhu, Ying; Zhou, Wei; Liu, Yani; Deng, Youbin
err分享
err收藏
Cost-Sensitive Uncertainty Hypergraph Learning for Identification of Lymph Node Involvement With CT Imaging
errFRONTIERS IN MEDICINE
IF3
err2022-02-10
err1
errOAAI
errMa, Qianli; Yan, Jielong; Zhang, Jun; Yu, Qiduo; Zhao, Yue; Liang, Chaoyang; Di, Donglin
err分享
err收藏
Physics of PET and SPECT Imaging
errMEDICAL PHYSICS
IF3.2
err2021-07-28
err0
PREAI
errZhang, Jun
err分享
err收藏
Predicting Chemotherapeutic Response for Far-advanced Gastric Cancer by Radiomics with Deep Learning Semi-automatic Segmentation深度学习半自动分割影像组学预测晚期胃癌化疗反应
errJOURNAL OF CANCER
IF3.2
err2020-01-01
err21
errOAAI
errTan, Jing-wen; Wang, Lan; Chen, Yong; Xi, WenQi; Ji, Jun; Wang, Lingyun; Xu, Xin; Zou, Long-kuan; Feng, Jian-xing; Zhang, Jun; Zhang, Huan
err分享
err收藏
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ
errCOMPUTERS IN BIOLOGY AND MEDICINE
IF6.3
err2019-12-01
err41
errOAAI
errZhu, Zhe; Harowicz, Michael; Zhang, Jun; Saha, Ashirbani; Grimm, Lars J.; Hwang, E. Shelley; Mazurowski, Maciej A.
err分享
err收藏
Preliminary Clinical Study of the Differences Between Interobserver Evaluation and Deep Convolutional Neural Network-Based Segmentation of Multiple Organs at Risk in CT Images of Lung Cancer
errFRONTIERS IN ONCOLOGY
IF3.3
err2019-07-05
err10
errOAAI
errZhu, Jinhan; Liu, Yimei; Zhang, Jun; Wang, Yixuan; Chen, Lixin
err分享
err收藏
Performance evaluation of the next generation solid-state digital photon counting PET/CT system
errEJNMMI RESEARCH
IF3
err2018-11-06
err89
errOAAI
errZhang, Jun; Maniawski, Piotr; Knopp, Michael V.
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
M
Michael V. Knopp
H 指数: 72 · 论文数: 594
张龙江 封面图
张龙江 (Long Jiang Zhang)
H 指数: 56 · 论文数: 511
张林 封面图
张林 (Lin Zhang)
H 指数: 52 · 论文数: 532
韩
韩军 (Jun Han)
H 指数: 41 · 论文数: 459
M
Maciej A. Mazurowski
H 指数: 40 · 论文数: 255
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