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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：274/0  |  提交时间：2021/11/03
Histopathologic growth pattern  Colorectal liver metastases  Unresectable  Radiomics  Bevacizumab  
Activable Nanoparticle for Tumor Aggressiveness and Drug Resistance Prediction by Glutathione Heterogeneous Imaging 期刊论文
JOURNAL OF BIOMEDICAL NANOTECHNOLOGY, 2021, 卷号: 17, 期号: 7, 页码: 1339-1348
作者:  Wang, Yaqin;  Shang, Wenting;  Xiong, Jianping;  Liu, Yu;  Luo, Ting;  Qi, Xun;  Niu, Meng;  Xu, Ke
收藏  |  浏览/下载：225/0  |  提交时间：2021/11/03
GSH imaging  Tumor Invasiveness  Resistance  Heterogenetic  Nanoparticle  Ratiometric Photoacoustic Imaging  
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：376/61  |  提交时间：2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 卷号: 68, 期号: 99, 页码: 1
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
Adobe PDF(11700Kb)  |  收藏  |  浏览/下载：272/50  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：298/27  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
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：703/365  |  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：333/66  |  提交时间：2021/04/21
Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging