CASIA OpenIR

浏览/检索结果: 共8条,第1-8条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Deep learning models of ultrasonography significantly improved the differential diagnosis performance for superficial soft-tissue masses: a retrospective multicenter study 期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 11
作者:  Long, Bin;  Zhang, Haoyan;  Zhang, Han;  Chen, Wen;  Sun, Yang;  Tang, Rui;  Lin, Yuxuan;  Fu, Qiang;  Yang, Xin;  Cui, Ligang;  Wang, Kun
收藏  |  浏览/下载:56/0  |  提交时间:2023/12/21
Superficial soft-tissue masses  Deep learning model  Ultrasound  Diagnosis  Computer-assisted diagnosis  
Hepatic differentiation of human embryonic stem cells by coupling substrate stiffness and microtopography 期刊论文
BIOMATERIALS SCIENCE, 2021, 页码: 15
作者:  Luo, Chunhua;  Lu, Dongyuan;  Zheng, Lu;  Zhang, Fan;  Zhang, Xiao;  Lu, Shouqin;  Zhang, Chen;  Jia, Xiaohua;  Shu, Xinyu;  Li, Peiwen;  Li, Zhan;  Long, Mian
收藏  |  浏览/下载:177/0  |  提交时间:2021/05/17
Gray matter volume changes following antipsychotic therapy in first-episode schizophrenia patients: A longitudinal voxel-based morphometric study 期刊论文
JOURNAL OF PSYCHIATRIC RESEARCH, 2019, 卷号: 116, 页码: 126-132
作者:  Guo, Fan;  Zhu, Yuan-Qiang;  Li, Chen;  Wang, Xing-Rui;  Wang, Hua-Ning;  Liu, Wen-Ming;  Wang, Liu-Xian;  Tian, Ping;  Kang, Xiao-Wei;  Cui, Long-Biao;  Xi, Yi-Bin;  Yin, Hong
收藏  |  浏览/下载:240/0  |  提交时间:2019/12/16
Schizophrenia  Voxel-based morphometry  Antipsychotics  Magnetic resonance imaging  First-episode  Gray matter volume  
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma 期刊论文
CLINICAL CANCER RESEARCH, 2019, 卷号: 25, 期号: 14, 页码: 4271-4279
作者:  Peng, Hao;  Dong, Di;  Fang, Meng-Jie;  Li, Lu;  Tang, Ling-Long;  Chen, Lei;  Li, Wen-Fei;  Mao, Yan-Ping;  Fan, Wei;  Liu, Li-Zhi;  Tian, Li;  Lin, Ai-Hua;  Sun, Ying;  Tian, Jie;  Ma, Jun
浏览  |  Adobe PDF(1141Kb)  |  收藏  |  浏览/下载:343/54  |  提交时间:2019/12/16
Advanced Nasopharyngeal Carcinoma  
Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 卷号: 47, 期号: 5, 页码: 1380-1387
作者:  Xi, Yi-bin;  Guo, Fan;  Xu, Zi-liang;  Li, Chen;  Wei, Wei;  Tian, Ping;  Liu, Ting-ting;  Liu, Lin;  Chen, Gang;  Ye, Jing;  Cheng, Guang;  Cui, Long-biao;  Zhang, Hong-juan;  Qin, Wei;  Yin, Hong
收藏  |  浏览/下载:175/0  |  提交时间:2018/10/10
Magnetic Resonance Imaging  Glioblastoma  O-6-methylguanine-dna Methyltransferase  Radiomics  Support Vector Machines  
Alterations in cortical thickness in nonmedicated premature ejaculation patients: A morphometric MRI study 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 卷号: 47, 期号: 3, 页码: 656-662
作者:  Guo, Fan;  Xi, Yi-Bin;  Gao, Ming;  Liu, Lin;  Fei, Ning-Bo;  Qin, Wei;  Li, Chen;  Cui, Long-Biao;  Yan, Fei;  Yu, Lei;  Yuan, Jian-Lin;  Yin, Hong
收藏  |  浏览/下载:162/0  |  提交时间:2018/10/10
Magnetic Resonance Imaging  Neuroimaging  Premature Ejaculation  Cortical Thickness  
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma 期刊论文
CLINICAL CANCER RESEARCH, 2017, 卷号: 23, 期号: 15, 页码: 4259-4269
作者:  Zhang, Bin;  Tian, Jie;  Dong, Di;  Gu, Dongsheng;  Dong, Yuhao;  Zhang, Lu;  Lian, Zhouyang;  Liu, Jing;  Luo, Xiaoning;  Pei, Shufang;  Mo, Xiaokai;  Huang, Wenhui;  Ouyang, Fusheng;  Guo, Baoliang;  Liang, Long;  Chen, Wenbo;  Liang, Changhong;  Zhang, Shuixing
浏览  |  Adobe PDF(1169Kb)  |  收藏  |  浏览/下载:289/44  |  提交时间:2018/03/03
Advanced Nasopharyngeal Carcinoma  
Notch3 Maintains Luminal Phenotype and Suppresses Tumorigenesis and Metastasis of Breast Cancer via Trans-Activating Estrogen Receptor-alpha 期刊论文
THERANOSTICS, 2017, 卷号: 7, 期号: 16, 页码: 4041-4056
作者:  Dou, Xiao-Wei;  Liang, Yuan-Ke;  Lin, Hao-Yu;  Wei, Xiao-Long;  Zhang, Yong-Qu;  Bai, Jing-Wen;  Chen, Chun-Fa;  Chen, Min;  Du, Cai-Wen;  Li, Yao-Chen;  Tian, Jie;  Man, Kwan;  Zhang, Guo-Jun
收藏  |  浏览/下载:263/0  |  提交时间:2018/03/03
Notch3  Estrogen Receptor Alpha  Epithelial-mesenchymal Transition  Breast Cancer  Luminal Phenotype