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Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images
期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:
Zhang, Liwen
;
Zhong, Lianzhen
;
Li, Cong
;
Zhang, Wenjuan
;
Hu, Chaoen
;
Dong, Di
;
Liu, Zaiyi
;
Zhou, Junlin
;
Tian, Jie
收藏
  |  
浏览/下载:337/0
  |  
提交时间:2022/07/25
Overall survival
Deep learning
Computed tomography (CT)
Neural network
Adaptive brightness fusion method for intraoperative near-infrared fluorescence and visible images
期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 3, 页码: 1243-1260
作者:
Zhang, Chong
;
Wang, Kun
;
Tian, Jie
收藏
  |  
浏览/下载:221/0
  |  
提交时间:2022/06/06
Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2021, 卷号: 142, 页码: 8
作者:
Wei, Shengcai
;
Han, Yuqi
;
Zeng, Hanjiang
;
Ye, Shuai
;
Cheng, Jin
;
Chai, Fan
;
Wei, Jingwei
;
Zhang, Jianwei
;
Hong, Nan
;
Bao, Yudi
;
Zhou, Jing
;
Ye, Yingjiang
;
Meng, Xiaochun
;
Zhou, Yuwen
;
Deng, Yanhong
;
Qiu, Meng
;
Tian, Jie
;
Wang, Yi
收藏
  |  
浏览/下载:311/0
  |  
提交时间:2021/11/03
Histopathologic growth pattern
Colorectal liver metastases
Unresectable
Radiomics
Bevacizumab
Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy
期刊论文
CANCER MEDICINE, 2021, 页码: 11
作者:
Su, Qiang
;
Liu, Zhenyu
;
Chen, Chi
;
Gao, Han
;
Zhu, Yongbei
;
Wang, Liusu
;
Pan, Meiqing
;
Liu, Jiangang
;
Yang, Xin
;
Tian, Jie
收藏
  |  
浏览/下载:282/0
  |  
提交时间:2021/11/03
biochemical recurrence-free survival
gene signature
LASSO-Cox regression
primary prostate cancer
radical therapy
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)
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  |  
浏览/下载:460/79
  |  
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
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:419/69
  |  
提交时间:2021/06/15
hepatocellular carcinoma
microvascular invasion
magnetic resonance imaging
computed tomography
deep learning
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:376/79
  |  
提交时间:2021/04/21
Artificial intelligence (AI)
ductal carcinoma in situ (DCIS)
core needle biopsy (CNB)
prediction of upstaging
Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography
期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2021, 页码: 13
作者:
He, Xuelei
;
Meng, Hui
;
He, Xiaowei
;
Wang, Kun
;
Song, Xiaolei
;
Tian, Jie
收藏
  |  
浏览/下载:242/0
  |  
提交时间:2021/03/01
Fluorescence molecular tomography
Reconstruction
Nonconvex
Laplacian manifold
In vivo imaging
Morphology
Online Transfer Learning for Differential Diagnosis of Benign and Malignant Thyroid Nodules With Ultrasound Images
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 10, 页码: 2773-2780
作者:
Zhou, Hui
;
Wang, Kun
;
Tian, Jie
收藏
  |  
浏览/下载:268/0
  |  
提交时间:2021/01/07
Cancer
Biological system modeling
Ultrasonic imaging
Feature extraction
Radiomics
Training
Deep learning
Diagnosis
online learning
radiomics
transfer learning
thyroid nodules
ultrasound images
Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases
期刊论文
MEDICAL PHYSICS, 2020, 页码: 10
作者:
Wei, Jingwei
;
Cheng, Jin
;
Gu, Dongsheng
;
Chai, Fan
;
Hong, Nan
;
Wang, Yi
;
Tian, Jie
收藏
  |  
浏览/下载:263/0
  |  
提交时间:2021/01/06
colorectal liver metastases
chemotherapy
radiomics
contrast‐
enhanced multidetector computed tomography
deep learning