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A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma 期刊论文
MEDICAL PHYSICS, 2022, 页码: 13
作者:  Wei, Jingwei;  Ji, Qian;  Gao, Yu;  Yang, Xiaozhen;  Guo, Donghui;  Gu, Dongsheng;  Yuan, Chunwang;  Tian, Jie;  Ding, Dawei
收藏  |  浏览/下载:225/0  |  提交时间:2023/03/20
computed tomography  deep learning  hepatocellular carcinoma  histopathological grading  radiomics  
Deep learning for improving the spatial resolution of magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 12, 页码: 14
作者:  Shang, Yaxin;  Liu, Jie;  Zhang, Liwen;  Wu, Xiangjun;  Zhang, Peng;  Yin, Lin;  Hui, Hui;  Tian, Jie
收藏  |  浏览/下载:234/0  |  提交时间:2022/07/25
deep learning  magnetic particle imaging  spatial resolution  superparamagnetic iron oxide nanoparticles  
Elimination of stripe artifacts in light sheet fluorescence microscopy using an attention-based residual neural network 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 3, 页码: 1292-1311
作者:  Wei, Zechen;  Wu, Xiangjun;  Tong, Wei;  Zhang, Suhui;  Yang, Xin;  Tian, Jie;  Hui, Hui
收藏  |  浏览/下载:194/0  |  提交时间:2022/06/06
Structure attention co-training neural network for neovascularization segmentation in intravascular optical coherence tomography 期刊论文
MEDICAL PHYSICS, 2022, 页码: 16
作者:  Wu, Xiangjun;  Zhang, Yingqian;  Zhang, Peng;  Hui, Hui;  Jing, Jing;  Tian, Feng;  Jiang, Jingying;  Yang, Xin;  Chen, Yundai;  Tian, Jie
收藏  |  浏览/下载:199/0  |  提交时间:2022/03/17
co-training  IVOCT  neovascularization segmentation  structural attention mechanism  
Image-to-Images Translation for Multiple Virtual Histological Staining of Unlabeled Human Carotid Atherosclerotic Tissue 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2021, 页码: 11
作者:  Zhang, Guanghao;  Ning, Bin;  Hui, Hui;  Yu, Tengfei;  Yang, Xin;  Zhang, Hongxia;  Tian, Jie;  He, Wen
收藏  |  浏览/下载:248/0  |  提交时间:2021/12/28
Multiple virtual histological staining  Pix2pix network  Human carotid atheroma  Blind evaluation  Bright-field microscopic imaging  
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:244/0  |  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  
Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
作者:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng;  Gu, Dongsheng;  Chong, Huanhuan;  Zhang, Yanyan;  Fu, Fangfang;  Zhou, Mu;  Chen, Jie;  Lyv, Fudong;  Wei, Hong;  Bashir, Mustafa R.;  Song, Bin;  Li, Hongjun;  Tian, Jie
Adobe PDF(2568Kb)  |  收藏  |  浏览/下载:338/57  |  提交时间:2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep 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:257/23  |  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:653/357  |  提交时间:2021/05/06
deep learning  peritumor  radiomics  
Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9
作者:  Qian, Lang;  Lv, Zhikun;  Zhang, Kai;  Wang, Kun;  Zhu, Qian;  Zhou, Shichong;  Chang, Cai;  Tian, Jie
Adobe PDF(743Kb)  |  收藏  |  浏览/下载:307/61  |  提交时间:2021/04/21
Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging