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Semi-supervised Long-tail Endoscopic Image Classification 期刊论文
Chinese Medical Sciences Journal, 2022, 卷号: 37, 期号: 3, 页码: 171-181
作者:  Runnan Cao;  Mengjie Fang;  Hailing Li;  Jie Tian;  Di Dong
Adobe PDF(9519Kb)  |  收藏  |  浏览/下载:155/36  |  提交时间:2023/06/14
endoscopic image  artificial intelligence  semi-supervised learning  long-tail distribution  image classification  
graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography 会议论文
, 美国, 2022-2
作者:  Wang Y(王宇);  Bian C(边畅);  Du Y(杜洋);  Tian J(田捷)
Adobe PDF(625Kb)  |  收藏  |  浏览/下载:194/59  |  提交时间:2022/06/14
Fluorescence molecular tomography  Graph convolution network  
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:394/85  |  提交时间:2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载:310/60  |  提交时间:2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Intraoperative near-infrared II window fluorescence imaging-assisted nephron-sparing surgery for complete resection of cystic renal masses 期刊论文
CLINICAL AND TRANSLATIONAL MEDICINE, 2021, 卷号: 11, 期号: 10, 页码: 5
作者:  Cao, Caiguang;  Deng, Shaohui;  Wang, Binshuai;  Shi, Xiaojing;  Ge, Liyuan;  Qiu, Min;  Zhang, Fan;  Lu, Min;  Ma, Lulin;  Chi, Chongwei;  Hu, Zhenhua;  Tian, Jie;  Zhang, Shudong
Adobe PDF(3739Kb)  |  收藏  |  浏览/下载:308/51  |  提交时间:2021/12/28
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文
MEDICAL PHYSICS, 2021, 卷号: 48, 期号: 9, 页码: 5017-5028
作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin;  Zhu, Yongbei;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载:234/34  |  提交时间:2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study 期刊论文
GASTROINTESTINAL ENDOSCOPY, 2021, 卷号: 93, 期号: 6, 页码: 1333-+
作者:  Hu, Hao;  Gong, Lixin;  Dong, Di;  Zhu, Liang;  Wang, Min;  He, Jie;  Shu, Lei;  Cai, Yiling;  Cai, Shilun;  Su, Wei;  Zhong, Yunshi;  Li, Cong;  Zhu, Yongbei;  Fang, Mengjie;  Zhong, Lianzhen;  Yang, Xin;  Zhou, Pinghong;  Tian, Jie
Adobe PDF(2330Kb)  |  收藏  |  浏览/下载:294/54  |  提交时间:2021/08/15
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 5, 页码: 1484-1498
作者:  Wang, Hanfan;  Bian, Chang;  Kong, Lingxin;  An, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8176Kb)  |  收藏  |  浏览/下载:399/63  |  提交时间:2021/06/15
Image reconstruction  Fluorescence  Probes  Mathematical model  Photonics  Molecular imaging  Biological tissues  Fluorescence molecular tomography  adaptive parameter search  elastic net  
Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 卷号: 48, 期号: 11, 页码: 3482-3492
作者:  Shen, Biluo;  Zhang, Zhe;  Shi, Xiaojing;  Cao, Caiguang;  Zhang, Zeyu;  Hu, Zhenhua;  Ji, Nan;  Tian, Jie
Adobe PDF(1209Kb)  |  收藏  |  浏览/下载:366/70  |  提交时间:2021/05/17
Fluorescence imaging  Deep learning  Convolutional neural networks  Intraoperative pathology  Gliomas  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载:280/24  |  提交时间:2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)