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Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
Authors:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
Favorite  |  View/Download:28/0  |  Submit date:2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
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
Authors:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
Favorite  |  View/Download:34/0  |  Submit date:2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning  
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-+
Authors:  Gong, Lixin;  Wang, Min;  Shu, Lei;  He, Jie;  Bin Qin;  Xu, Jiacheng;  Su, Wei;  Dong, Di;  Hu, Hao;  Tian, Jie;  Zhou, Pinghong
Favorite  |  View/Download:136/0  |  Submit date:2023/03/20
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2022, 卷号: 86, 页码: 13
Authors:  She, Yunlang;  He, Bingxi;  Wang, Fang;  Zhong, Yifan;  Wang, Tingting;  Liu, Zhenchuan;  Yang, Minglei;  Yu, Bentong;  Deng, Jiajun;  Sun, Xiwen;  Wu, Chunyan;  Hou, Likun;  Zhu, Yuming;  Yang, Yang;  Hu, Hongjie;  Dong, Di;  Chen, Chang;  Tian, Jie
Favorite  |  View/Download:130/0  |  Submit date:2023/02/22
Deep learning  Neoadjuvant chemoimmunotherapy  Major pathological response  Non-small cell lung cancer  
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
Authors:  Zhang, Liwen;  Zhong, Lianzhen;  Li, Cong;  Zhang, Wenjuan;  Hu, Chaoen;  Dong, Di;  Liu, Zaiyi;  Zhou, Junlin;  Tian, Jie
Favorite  |  View/Download:200/0  |  Submit date:2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural network  
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
Authors:  Zhang, Liwen;  Dong, Di;  Sun, Yongqing;  Hu, Chaoen;  Sun, Congxin;  Wu, Qingqing;  Tian, Jie
Favorite  |  View/Download:149/0  |  Submit date:2022/07/25
Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? 期刊论文
JOURNAL OF DIGITAL IMAGING, 2022, 页码: 12
Authors:  Hu, Shasha;  Zhu, Yongbei;  Dong, Di;  Wang, Bei;  Zhou, Zuofu;  Wang, Chi;  Tian, Jie;  Peng, Yun
Favorite  |  View/Download:152/0  |  Submit date:2022/07/25
Chest radiographs  Convolution neural network  Community-acquired pneumonia  Pediatric  Etiology  
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
Authors:  Gong, Lixin;  Xu, Min;  Fang, Mengjie;  He, Bingxi;  Li, Hailin;  Fang, Xiangming;  Dong, Di;  Tian, Jie
Favorite  |  View/Download:159/0  |  Submit date:2022/07/25
MRI  Radiomics  Prostate cancer  Gleason score  Gland segmentation  
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
Authors:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei;  Tang, Lin-Quan;  Dong, Di;  Tian, Jie;  Mai, Hai-Qiang
Adobe PDF(1720Kb)  |  Favorite  |  View/Download:207/19  |  Submit date:2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning  
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
Authors:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  Favorite  |  View/Download:218/28  |  Submit date:2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics