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Image-to-Images Translation for Multiple Virtual Histological Staining of Unlabeled Human Carotid Atherosclerotic Tissue 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2021, 页码: 11
作者:  Zhang, Guanghao;  Ning, Bin;  Hui, Hui;  Yu, Tengfei;  Yang, Xin;  Zhang, Hongxia;  Tian, Jie;  He, Wen
收藏  |  浏览/下载:271/0  |  提交时间:2021/12/28
Multiple virtual histological staining  Pix2pix network  Human carotid atheroma  Blind evaluation  Bright-field microscopic imaging  
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
作者:  Zhang, Liwen;  Dong, Di;  Zhong, Lianzhen;  Li, Cong;  Hu, Chaoen;  Yang, Xin;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载:259/0  |  提交时间:2021/12/28
Hazards  Feature extraction  Computed tomography  Cancer  Radiomics  Indexes  Bioinformatics  Overall survival  gastric cancer  multi-level  CT image  deep learning  
Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2021, 卷号: 142, 页码: 8
作者:  Wei, Shengcai;  Han, Yuqi;  Zeng, Hanjiang;  Ye, Shuai;  Cheng, Jin;  Chai, Fan;  Wei, Jingwei;  Zhang, Jianwei;  Hong, Nan;  Bao, Yudi;  Zhou, Jing;  Ye, Yingjiang;  Meng, Xiaochun;  Zhou, Yuwen;  Deng, Yanhong;  Qiu, Meng;  Tian, Jie;  Wang, Yi
收藏  |  浏览/下载:264/0  |  提交时间:2021/11/03
Histopathologic growth pattern  Colorectal liver metastases  Unresectable  Radiomics  Bevacizumab  
Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
作者:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng;  Gu, Dongsheng;  Chong, Huanhuan;  Zhang, Yanyan;  Fu, Fangfang;  Zhou, Mu;  Chen, Jie;  Lyv, Fudong;  Wei, Hong;  Bashir, Mustafa R.;  Song, Bin;  Li, Hongjun;  Tian, Jie
Adobe PDF(2568Kb)  |  收藏  |  浏览/下载:369/61  |  提交时间:2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载:683/360  |  提交时间:2021/05/06
deep learning  peritumor  radiomics  
Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9
作者:  Qian, Lang;  Lv, Zhikun;  Zhang, Kai;  Wang, Kun;  Zhu, Qian;  Zhou, Shichong;  Chang, Cai;  Tian, Jie
Adobe PDF(743Kb)  |  收藏  |  浏览/下载:324/64  |  提交时间:2021/04/21
Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging  
The effect of endothelial progenitor cell transplantation on neointimal hyperplasia and reendothelialisation after balloon catheter injury in rat carotid arteries 期刊论文
Stem Cell Research & Therapy, 2021, 卷号: 12, 期号: 1, 页码: 12
作者:  Wang,Wei;  Zhang,Yingqian;  Hui,Hui;  Tong,Wei;  Wei,Zechen;  Li,Zhongxuan;  Zhang,Suhui;  Yang,Xin;  Tian,Jie;  Chen,Yundai
收藏  |  浏览/下载:244/0  |  提交时间:2021/02/18
Endothelial progenitor cells  Reendothelialisation  Neointimal hyperplasia  Angioplasty  Light-sheet fluorescence microscopy  
Highly sensitive magnetic particle imaging of vulnerable atherosclerotic plaque with active myeloperoxidase-targeted nanoparticles 期刊论文
THERANOSTICS, 2021, 卷号: 11, 期号: 2, 页码: 506-521
作者:  Tong, Wei;  Hui, Hui;  Shang, Wenting;  Zhang, Yingqian;  Tian, Feng;  Ma, Qiang;  Yang, Xin;  Tian, Jie;  Chen, Yundai
收藏  |  浏览/下载:265/0  |  提交时间:2021/01/06
myeloperoxidase  vulnerable plaque  magnetic particle imaging  fluorescence imaging  computed tomographic angiography