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Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study
期刊论文
CANCER, 2022, 页码: 11
Authors:
Gu, Jionghui
;
Tong, Tong
;
Xu, Dong
;
Cheng, Fang
;
Fang, Chengyu
;
He, Chang
;
Wang, Jing
;
Wang, Baohua
;
Yang, Xin
;
Wang, Kun
;
Tian, Jie
;
Jiang, Tian'an
Favorite
  |  
View/Download:2/0
  |  
Submit date:2023/03/20
breast cancer
deep learning
lymph node metastasis
neoadjuvant chemotherapy
pathologic complete response
treatment decision
ultrasonography
Scattered Points Interpolation with Globally Smooth B-Spline Surface using Iterative Knot Insertion
期刊论文
COMPUTER-AIDED DESIGN, 2022, 卷号: 148, 页码: 17
Authors:
Jiang, Xin
;
Wang, Bolun
;
Huo, Guanying
;
Su, Cheng
;
Yan, Dong-Ming
;
Zheng, Zhiming
Favorite
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View/Download:107/0
  |  
Submit date:2022/07/25
B-spline surface
Scattered data points interpolation
Knot vector construction
Fairing energy minimization
Fixed-point Quantization for Vision Transformer
会议论文
, Beijing, China, 2021-10-22
Authors:
Zhexin, Li
;
Peisong Wang
;
Zhiyuan Wang
;
Jian Cheng
Adobe PDF(940Kb)
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  |  
View/Download:71/8
  |  
Submit date:2022/06/15
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
Authors:
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)
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  |  
View/Download:98/8
  |  
Submit date:2022/06/06
Deep learning
Artificial intelligence
Pancreatic ductal adenocarcinoma
Contrast-enhanced ultrasound
Chronic pancreatitis
Key-Point Interpolation: A Sparse Data Interpolation Algorithm based on B-splines
期刊论文
Journal of Physics: Conference Series, 2021, 卷号: 2068, 期号: 1
Authors:
Wang,Bolun
;
Jiang,Xin
;
Huo,Guanying
;
Su,Cheng
;
Yan,Dongming
;
Zheng,Zhiming
Favorite
  |  
View/Download:55/0
  |  
Submit date:2021/12/28
Towards Binarized MobileNet via Structured Sparsity
会议论文
, Hainan, China, 2021-12-26
Authors:
Zhenmeng, Zuo
;
Zhexin, Li
;
Peisong, Wang
;
Weihan, Chen
;
Jian, Cheng
Adobe PDF(476Kb)
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  |  
View/Download:50/5
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Submit date:2022/06/15
Research on Real-Time Multiple Single Garbage Classification Based on Convolutional Neural Network
期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 卷号: 2020, 页码: 6
Authors:
Yuan, Jian-ye
;
Nan, Xin-yuan
;
Li, Cheng-rong
;
Sun, Le-le
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  |  
View/Download:61/0
  |  
Submit date:2021/03/08
Structurally Comparative Hinge Loss for Dependency-Based Neural Text Representation
期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 期号: 4, 页码: 19
Authors:
Wang, Kexin
;
Zhou, Yu
;
Zhang, Jiajun
;
Wang, Shaonan
;
Zong, Chengqing
View
  |  
Adobe PDF(1553Kb)
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  |  
View/Download:156/47
  |  
Submit date:2020/06/10
Text representation
graph convolutional networks
loss function
Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 5, 页码: 1293-1302
Authors:
Chen, Xueli
;
Zhu, Shouping
;
Wang, Huiyuan
;
Bao, Cuiping
;
Yang, Defu
;
Zhang, Chi
;
Lin, Peng
;
Cheng, Ji-Xin
;
Zhan, Yonghua
;
Liang, Jimin
;
Tian, Jie
Favorite
  |  
View/Download:115/0
  |  
Submit date:2020/06/22
Image reconstruction
Three-dimensional displays
Raman scattering
Tomography
Chemicals
Laser beams
Sparse reconstruction
iterative reconstruction
stimulated Raman projection
tomography
A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma
期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
Authors:
Li, Longfei
;
Mu, Wei
;
Wang, Yaning
;
Liu, Zhenyu
;
Liu, Zehua
;
Wang, Yu
;
Ma, Wenbin
;
Kong, Ziren
;
Wang, Shuo
;
Zhou, Xuezhi
;
Wei, Wei
;
Cheng, Xin
;
Lin, Yusong
;
Tian, Jie
Favorite
  |  
View/Download:146/0
  |  
Submit date:2020/03/30
F-18-FDG PET
radiomics
glioma
isocitrate dehydrogenase
non-invasive prediction