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Fusion Networks of CNN and Transformer with Channel Attention for Accurate Tumor Imaging in Magnetic Particle Imaging 期刊论文
BIOLOGY-BASEL, 2024, 卷号: 13, 期号: 1, 页码: 17
作者:  Shang, Yaxin;  Liu, Jie;  Wang, Yueqi;  Bertrand, Helene
Adobe PDF(15462Kb)  |  收藏  |  浏览/下载:66/6  |  提交时间:2024/03/26
magnetic particle imaging  convolutional neural network  transformer  tumor imaging  accurate quantification  
MSMFN: An ultrasound based multi-step modality fusion network for identifying the histologic subtypes of metastatic cervical lymphadenopathy 期刊论文
IEEE Transactions on Medical Imaging, 2022, 页码: 1-13
作者:  Zheling, Meng;  Yangyang, Zhu;  Wenjing, Pang;  Jie, Tian;  Fang, Nie;  Kun, Wang
Adobe PDF(3049Kb)  |  收藏  |  浏览/下载:350/60  |  提交时间:2023/03/27
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:358/73  |  提交时间:2021/04/21
Artificial intelligence (AI)  ductal carcinoma in situ (DCIS)  core needle biopsy (CNB)  prediction of upstaging  
A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0 期刊论文
Radiotherapy and Oncology, 2020, 卷号: 151, 期号: 1, 页码: 1-9
作者:  Zhong, Lianzhen;  Fang, Xueliang;  Dong, Di;  Peng, Hao;  Fang, Mengjie;  Huang, Chenglong;  He, Bingxi;  Lin, Li;  Ma, Jun;  Tang, Linglong;  Tian, Jie
浏览  |  Adobe PDF(8171Kb)  |  收藏  |  浏览/下载:213/81  |  提交时间:2020/10/25
nasopharyngeal carcinoma  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载:367/67  |  提交时间:2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载:335/51  |  提交时间:2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
作者:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载:359/88  |  提交时间:2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 1007
作者:  Xu, Xiaojuan;  Li, Hailin;  Wang, Siwen;  Fang, Mengjie;  Zhong, Lianzhen;  Fan, Wenwen;  Dong, Di;  Tian, Jie;  Zhao, Xinming
Adobe PDF(2786Kb)  |  收藏  |  浏览/下载:295/52  |  提交时间:2020/03/30
endometrial cancer  lymph node  metastasis  magnetic resonance imaging  radiomics  
LGE-CMR-derived texture features reflect poor prognosis in hypertrophic cardiomyopathy patients with systolic dysfunction: preliminary results 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 11, 页码: 4615-4624
作者:  Cheng, Sainan;  Fang, Mengjie;  Cui, Chen;  Chen, Xiuyu;  Yin, Gang;  Prasad, Sanjay K.;  Dong, Di;  Tian, Jie;  Zhao, Shihua
Adobe PDF(1121Kb)  |  收藏  |  浏览/下载:349/40  |  提交时间:2019/12/16
Hypertrophic cardiomyopathy  Cardiac magnetic resonance  Late gadolinium enhancement  Texture features  Event-free survival  
Robust Reconstruction of Fluorescence Molecular Tomography Based on Sparsity Adaptive Correntropy Matching Pursuit Method for Stem Cell Distribution 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2018, 卷号: 37, 期号: 10, 页码: 2176-2184
作者:  Zhang, Shuai;  Ma, Xibo;  Wang, Yi;  Wu, Meng;  Meng, Hui;  Chai, Wei;  Wang, Xiaojie;  Wei, Shoushui;  Tian, Jie
浏览  |  Adobe PDF(1652Kb)  |  收藏  |  浏览/下载:300/78  |  提交时间:2019/12/16
Fluorescence molecular tomography  inverse problem  sparsity adaptive correntropy matching pursuit  robust reconstruction