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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：389/63  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
PredictFP2: A New Computational Model to Predict Fusion Peptide Domain in All Retroviruses 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 5, 页码: 1714-1720
作者:  Wu, Sijia;  Wu, Xiaoming;  Tian, Jie;  Zhou, Xiaobo;  Huang, Liyu
收藏  |  浏览/下载：162/0  |  提交时间：2021/01/07
Benchmark testing  Amino acids  Support vector machines  Computational modeling  Predictive models  Cells (biology)  Databases  Fusion peptide prediction  FP distribution  hydrophobicity  retrovirus  support vector machine  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：332/60  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载：298/71  |  提交时间：2020/10/25
Computed tomography (CT)  
Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis 期刊论文
CEREBRAL CORTEX, 2020, 卷号: 30, 期号: 3, 页码: 1117-1128
作者:  Wang, Ying;  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Jia, Yanbin;  Zhong, Shuming;  Pan, Jiyang;  Huang, Li;  Tian, Jie
收藏  |  浏览/下载：208/0  |  提交时间：2020/06/22
bipolar disorder  machine learning  radiomics  resting-state functional magnetic resonance imaging  
基于定量磁共振影像组学的脑肿瘤无创诊断研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
作者:  张帅通
Adobe PDF(5591Kb)  |  收藏  |  浏览/下载：282/5  |  提交时间：2020/06/12
磁共振影像（MRI）  影像组学  无创诊断  半监督学习  脑肿瘤  
Research on an Urban Building Area Extraction Method with High-Resolution PolSAR Imaging Based on Adaptive Neighborhood Selection Neighborhoods for Preserving Embedding 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 2, 页码: 15
作者:  Cheng, Bo;  Cui, Shiai;  Ma, Xiaoxiao;  Liang, Chenbin
收藏  |  浏览/下载：181/0  |  提交时间：2020/06/02
PolSAR  machine learning  ANSNPE  SVM  
Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
作者:  Li, Jing;  Dong, Di;  Fang, Mengjie;  Wang, Rui;  Tian, Jie;  Li, Hailiang;  Gao, Jianbo
Adobe PDF(1808Kb)  |  收藏  |  浏览/下载：347/53  |  提交时间：2020/03/30
Gastric cancer  Tomography  X-ray computed  Lymph node  Radiomics  Deep learning  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：369/61  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence