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NIR-II nano fluorescence image guided hepatic carcinoma resection on cirrhotic patient 期刊论文
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2022, 卷号: 40, 页码: 3
Authors:  Zhang, Zeyu;  Fang, Cheng;  Zhang, Yang;  Su, Song;  Li, Bo;  Liu, Gang;  Hu, Zhenhua;  Tian, Jie
Favorite  |  View/Download：29/0  |  Submit date：2022/11/14
NIR-II fluorescence imaging  Hepatic carcinoma (HCC)  Cirrhosis  Image-guided surgery  Nano probe  
A novel machine learning-based radiomic model for diagnosing high bleeding risk esophageal varices in cirrhotic patients 期刊论文
HEPATOLOGY INTERNATIONAL, 2022, 卷号: 16, 期号: 2, 页码: 423-432
Authors:  Yan, Yijie;  Li, Yue;  Fan, Chunlei;  Zhang, Yuening;  Zhang, Shibin;  Wang, Zhi;  Huang, Tehui;  Ding, Zhenjia;  Hu, Keqin;  Li, Lei;  Ding, Huiguo
Favorite  |  View/Download：59/0  |  Submit date：2022/06/10
Machine learning  Radiomic model  Esophageal varices  Cirrhotic portal hypertension  Computed tomography  Endoscopy  
Targeted-detection and sequential-treatment of small hepatocellular carcinoma in the complex liver environment by GPC-3-targeted nanoparticles 期刊论文
Journal of Nanobiotechnology, 2022, 卷号: 20, 期号: 1, 页码: 20
Authors:  Deng,Han;  Shang,Wenting;  Wang,Kun;  Guo,Kunxiong;  Liu,Yu;  Tian,Jie;  Fang,Chihua
Favorite  |  View/Download：60/0  |  Submit date：2022/06/06
Small hepatocellular carcinoma  Complex liver environment  Targeted detection  Dynamic contrast-enhanced photoacoustic imaging  Sequential catalysis-targeted therapy  
基于Renset衍生模型的多模态超声图像的应用研究 学位论文
中国科学院大学, 中国科学院自动化研究所智能化大厦9层910会议室: 中国科学院自动化研究所, 2021
Authors:  吕志坤
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超声图像，无创诊断，影像组学，深度学习  
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
Authors:  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
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hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Comparing radiomics models with different inputs for accurate diagnosis of significant fibrosis in chronic liver disease 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 12
Authors:  Lu, Xue;  Zhou, Hui;  Wang, Kun;  Jin, Jieyang;  Meng, Fankun;  Mu, Xiaojie;  Li, Shuoyang;  Zheng, Rongqin;  Tian, Jie
Favorite  |  View/Download：99/0  |  Submit date：2021/06/07
Liver disease  Hepatic cirrhosis  Elasticity imaging techniques  Deep learning  
Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1067-1078
Authors:  Jinpeng Li;  Yaling Tao;  Ting Cai
Adobe PDF(915Kb)  |  Favorite  |  View/Download：45/1  |  Submit date：2021/04/09
Cancer prevention  discriminative model  generative model  lung cancer  machine learning  
Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
Authors:  Isaac Baffour Senkyire
Adobe PDF(1308Kb)  |  Favorite  |  View/Download：49/4  |  Submit date：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study 期刊论文
Hepatobiliary & Pancreatic Diseases International, 2021, 卷号: 2021, 期号: --, 页码: --
Authors:  Jingwei Wei;  Sirui Fu;  Jie Zhang;  Dongsheng Gu;  Xiaoqun Li;  Xudong Chen;  Shuaitong Zhang;  Xiaofei He;  Jianfeng Yan;  Ligong Lu;  Jie Tian
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Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
Authors:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
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COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence