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Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review 期刊论文
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2024, 卷号: 17, 页码: 118-135
作者:  Wang, Zipei;  Fang, Mengjie;  Zhang, Jie;  Tang, Linquan;  Zhong, Lianzhen;  Li, Hailin;  Cao, Runnan;  Zhao, Xun;  Liu, Shengyuan;  Zhang, Ruofan;  Xie, Xuebin;  Mai, Haiqiang;  Qiu, Sufang;  Tian, Jie;  Dong, Di
收藏  |  浏览/下载：5/0  |  提交时间：2024/07/03
Artificial intelligence  Medical diagnostic imaging  Image segmentation  medical imaging  nasopharyngeal carcinoma  precision diagnosis and treatment  
Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction 期刊论文
Physics in Medicine & Biology, 2024, 卷号: 69, 期号: 7
作者:  He,Bingxi;  Sun,Caixia;  Li,Hailin;  Wang,Yongbo;  She,Yunlang;  Zhao,Mengmeng;  Fang,Mengjie;  Zhu,Yongbei;  Wang,Kun;  Liu,Zhenyu;  Wei,Ziqi;  Mu,Wei;  Wang,Shuo;  Tang,Zhenchao;  Wei,Jingwei;  Shao,Lizhi;  Tong,Lixia;  Huang,Feng;  Tang,Mingze;  Guo,Yu;  Zhang,Huimao;  Dong,Di;  Chen,Chang;  Ma,Jianhua;  Tian,Jie
收藏  |  浏览/下载：33/0  |  提交时间：2024/05/30
deep learning  sinogram  CT scans  lung cancer  raw data  
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：332/0  |  提交时间：2023/03/20
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
Using multi-task learning to improve diagnostic performance of convolutional neural networks 会议论文
, San Diego, California, USA, 2019-2
作者:  Fang, Mengjie;  Dong, Di;  Sun, Ruijia;  Fan, Li;  Sun, Yingshi;  Liu, Shiyuan;  Tian, Jie
Adobe PDF(299Kb)  |  收藏  |  浏览/下载：142/39  |  提交时间：2022/06/14
Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning 会议论文
, San Diego, California, USA, 2019-2
作者:  Fang, Mengjie;  Zhang, Wenjuan;  Dong, Di;  Zhou, Junlin;  Tian, Jie
Adobe PDF(500Kb)  |  收藏  |  浏览/下载：191/72  |  提交时间：2022/06/14
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
作者:  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)  |  收藏  |  浏览/下载：374/46  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
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：446/101  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：411/75  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：310/63  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography