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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：79/0  |  提交时间：2024/02/22
CeLNet: a correlation-enhanced lightweight network for medical image segmentation 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 11, 页码: 14
作者:  Zhang, Bangze;  Wang, Xiaoyan;  Liu, Lianggui;  Zhang, Denghui;  Huang, Xiaojie;  Xia, Ming;  Jiang, Weiwei;  Huang, Xiangsheng
收藏  |  浏览/下载：66/0  |  提交时间：2023/11/17
medical image  multi-slice  segmentation  lightweight  contextual 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
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：322/39  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
Progressive polarization based reflection removal via realistic training data generation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 13
作者:  Pang, Youxin;  Yuan, Mengke;  Fu, Qiang;  Ren, Peiran;  Yan, Dong-Ming
Adobe PDF(4985Kb)  |  收藏  |  浏览/下载：301/38  |  提交时间：2022/02/16
Deep learning  Reflection removal  Polarization  Progressive network  Convolutional neural networks  
Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis 期刊论文
BMC MEDICINE, 2022, 卷号: 20, 期号: 1, 页码: 15
作者:  Tong, Tong;  Gu, Jionghui;  Xu, Dong;  Song, Ling;  Zhao, Qiyu;  Cheng, Fang;  Yuan, Zhiqiang;  Tian, Shuyuan;  Yang, Xin;  Tian, Jie;  Wang, Kun;  Jiang, Tian'an
Adobe PDF(9703Kb)  |  收藏  |  浏览/下载：350/57  |  提交时间：2022/06/06
Deep learning  Artificial intelligence  Pancreatic ductal adenocarcinoma  Contrast-enhanced ultrasound  Chronic pancreatitis  
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：389/84  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Cross-Modality Synergy Network for Referring Expression Comprehension and Segmentation 期刊论文
Neurocomputing, 2022, 卷号: 467, 期号: /, 页码: 99-114
作者:  Li, Qianzhong;  Zhang, Yujia;  Sun, Shiying;  Wu, Jinting;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(4555Kb)  |  收藏  |  浏览/下载：315/46  |  提交时间：2021/12/28
Referring expression comprehension  Referring expression segmentation  Cross-modality synergy  Attention mechanism  
Generalized zero-shot emotion recognition from body gestures 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 19
作者:  Wu, Jinting;  Zhang, Yujia;  Sun, Shiying;  Li, Qianzhong;  Zhao, Xiaoguang
Adobe PDF(2059Kb)  |  收藏  |  浏览/下载：299/61  |  提交时间：2021/12/28
Generalized zero-shot learning  Emotion recognition  Body gesture recognition  Prototype learning  
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：273/23  |  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)  
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载：674/358  |  提交时间：2021/05/06
deep learning  peritumor  radiomics