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Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning 期刊论文
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:  Sun, Caixia;  Luo, Tao;  Liu, Zhenyu;  Ge, Jia;  Shao, Lizhi;  Liu, Xiangyu;  Li, Bao;  Zhang, Song;  Qiu, Qi;  Wei, Wei;  Wang, Shuo;  Bian, Xiu-Wu;  Tian, Jie
收藏  |  浏览/下载：122/0  |  提交时间：2024/02/22
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
作者:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
收藏  |  浏览/下载：180/0  |  提交时间：2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning  
Artificial intelligence in gastric cancer: applications and challenges 期刊论文
GASTROENTEROLOGY REPORT, 2022, 卷号: 10, 页码: 16
作者:  Cao, Runnan;  Tang, Lei;  Fang, Mengjie;  Zhong, Lianzhen;  Wang, Siwen;  Gong, Lixin;  Li, Jiazheng;  Dong, Di;  Tian, Jie
收藏  |  浏览/下载：267/0  |  提交时间：2023/01/09
gastric cancer  artificial intelligence  radiomics  endoscopy  computed tomography  pathology  
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images 期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:  Zhang, Liwen;  Zhong, Lianzhen;  Li, Cong;  Zhang, Wenjuan;  Hu, Chaoen;  Dong, Di;  Liu, Zaiyi;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：333/0  |  提交时间：2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural network  
The potential of prostate gland radiomic features in identifying the Gleason score 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 144, 页码: 11
作者:  Gong, Lixin;  Xu, Min;  Fang, Mengjie;  He, Bingxi;  Li, Hailin;  Fang, Xiangming;  Dong, Di;  Tian, Jie
收藏  |  浏览/下载：307/0  |  提交时间：2022/07/25
MRI  Radiomics  Prostate cancer  Gleason score  Gland segmentation  
Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images 期刊论文
JAMA NETWORK OPEN, 2022, 卷号: 5, 期号: 6, 页码: 11
作者:  Zhang, Liwen;  Dong, Di;  Sun, Yongqing;  Hu, Chaoen;  Sun, Congxin;  Wu, Qingqing;  Tian, Jie
Adobe PDF(1293Kb)  |  收藏  |  浏览/下载：282/16  |  提交时间：2022/07/25
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：445/100  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Development of a deep learning-based method to diagnose pulmonary ground-glass nodules by sequential computed tomography imaging 期刊论文
THORACIC CANCER, 2022, 页码: 11
作者:  Qiu, Zhixin;  Wu, Qingxia;  Wang, Shuo;  Chen, Zhixia;  Lin, Feng;  Zhou, Yuyan;  Jin, Jing;  Xian, Jinghong;  Tian, Jie;  Li, Weimin
收藏  |  浏览/下载：289/0  |  提交时间：2022/02/16
deep learning  ground-glass nodules  multiple timepoints  sequential  
A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods 期刊论文
JOURNAL OF AFFECTIVE DISORDERS, 2022, 卷号: 300, 页码: 1-9
作者:  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Zhou, Zhifeng;  Zhong, Shuming;  Tang, Zhenchao;  Wang, Shuo;  Zhou, Guifei;  Zhou, Xuezhi;  Shao, Lizhi;  Ye, Xiaoying;  Zhang, Yingli;  Jia, Yanbin;  Pan, Jiyang;  Huang, Li;  Liu, Xia;  Liu, Jiangang;  Tian, Jie;  Wang, Ying
收藏  |  浏览/下载：335/0  |  提交时间：2022/02/16
Major depressive disorder  rs-fMRI  VBM  Radiomics  Classification  
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：289/0  |  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