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Automatic captioning of early gastric cancer using magnification endoscopy with narrow-band imaging 期刊论文
GASTROINTESTINAL ENDOSCOPY, 2022, 卷号: 96, 期号: 6, 页码: 929-+
作者:  Gong, Lixin;  Wang, Min;  Shu, Lei;  He, Jie;  Bin Qin;  Xu, Jiacheng;  Su, Wei;  Dong, Di;  Hu, Hao;  Tian, Jie;  Zhou, Pinghong
收藏  |  浏览/下载：191/0  |  提交时间：2023/03/20
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：226/0  |  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  
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer 期刊论文
BMC Medical Imaging, 2021, 卷号: 21, 期号: 1, 页码: 10
作者:  Wang,Xiaoxiao;  Li,Cong;  Fang,Mengjie;  Zhang,Liwen;  Zhong,Lianzhen;  Dong,Di;  Tian,Jie;  Shan,Xiuhong
Adobe PDF(2269Kb)  |  收藏  |  浏览/下载：354/56  |  提交时间：2021/04/06
Stomach cancer  Lymph nodes  Nomogram  
Targeted Luminescent Probes for Precise Upconversion/NIR II Luminescence Diagnosis of Lung Adenocarcinoma 期刊论文
ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 11, 页码: 4984-4992
作者:  Lv, Ruichan;  Wang, Yanxing;  Lin, Bi;  Peng, Xiangrong;  Liu, Jun;  Lu, Wei-dong;  Tian, Jie
收藏  |  浏览/下载：158/0  |  提交时间：2021/05/10
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
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：285/50  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：268/43  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics 期刊论文
BMC Medical Imaging, 2020, 卷号: 20, 期号: 1, 页码: 11
作者:  Su,Jie-hua;  Meng,Ling-wei;  Dong,Di;  Zhuo,Wen-yan;  Wang,Jian-ming;  Liu,Li-bin;  Qin,Yi;  Tian,Ye;  Tian,Jie;  Li,Zhao-hui
收藏  |  浏览/下载：246/0  |  提交时间：2020/07/20
Stroke  Infarction  Radiomics  Tomography  X-ray computed  
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, D.;  Fang, M. -J.;  Tang, L.;  Shan, X. -H.;  Gao, J. -B.;  Giganti, F.;  Wang, R. -P.;  Chen, X.;  Wang, X. -X.;  Palumbo, D.;  Fu, J.;  Li, W. -C.;  Li, J.;  Zhong, L. -Z.;  De Cobelli, F.;  Ji, J. -F.;  Liu, Z. -Y.;  Tian, J.
收藏  |  浏览/下载：236/0  |  提交时间：2020/07/20
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, Di;  Fang, Mengjie;  Tang, Lei;  Shan, Xiuhong;  Gao, Jianbo;  Giganti, Francesco;  Wang, Rongpin;  Chen, Xin;  Wang, Xiaoxiao;  Palumbo, Diego;  Fu, Jia;  Li, Wuchao;  Li, Jing;  Zhong, Lianzhen;  De Cobelli, Francesco;  Ji, Jiafu;  Liu, Zaiyi;  Tian, Jie
浏览  |  Adobe PDF(2209Kb)  |  收藏  |  浏览/下载：365/62  |  提交时间：2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram  
Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score 期刊论文
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2020, 页码: 12
作者:  Hu, Wenchao;  Wu, Xiangjun;  Dong, Di;  Cui, Long-Biao;  Jiang, Min;  Zhang, Jibin;  Wang, Yabin;  Wang, Xinjiang;  Gao, Lei;  Tian, Jie;  Cao, Feng
收藏  |  浏览/下载：195/0  |  提交时间：2020/07/06
Coronary artery disease  CT angiography  Radiomics  Myocardial ischaemia