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FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement
Journal article
Yu,Yu Feng, Zhong,Guojin, Zhou,Yi, Chen,Long. FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement[J]. Information Sciences, 2023, 642, 119114.
Authors:
Yu,Yu Feng
;
Zhong,Guojin
;
Zhou,Yi
;
Chen,Long
Favorite
|
TC[WOS]:
7
TC[Scopus]:
12
IF:
0
/
0
|
Submit date:2023/08/03
Fuzzy Discriminator
Generative Adversarial Network (Gan)
Self-guided Structure Retention Module (Ssrm)
Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach
Journal article
Hongliang Ding, Yuhuan Lu, N. N. Sze, Haojie Li. Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach[J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2022, 166, 150-163.
Authors: ; et al.
Favorite
|
TC[WOS]:
9
TC[Scopus]:
11
IF:
6.3
/
6.9
|
Submit date:2023/01/30
Bicycle Demand
Bike Sharing
Deep Learning
Graph Neural Network
Intervention Response Module
Few-shot object detection via high-and-low resolution representation
Journal article
Haolun Li, Senlin Ge, Chuyi Gao, Hao Gao. Few-shot object detection via high-and-low resolution representation[J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 104, 108438.
Authors:
Haolun Li
;
Senlin Ge
;
Chuyi Gao
;
Hao Gao
Favorite
|
TC[WOS]:
3
TC[Scopus]:
6
IF:
4.0
/
3.8
|
Submit date:2023/01/30
Few-shot Learning
Anchor-free Network
High-and-low Resolution Representation Module
Computer Vision
Collaborative multi-feature extraction and scale-aware semantic information mining for medical image segmentation
Journal article
Zhang, Ruijun, He, Zixuan, Zhu, Jian, Yuan, Xiaochen, Huang, Guoheng, Pun, Chi Man, Peng, Jianhong, Lin, Junzhong, Zhou, Jian. Collaborative multi-feature extraction and scale-aware semantic information mining for medical image segmentation[J]. PHYSICS IN MEDICINE AND BIOLOGY, 2022, 67(20), 205008.
Authors:
Zhang, Ruijun
;
He, Zixuan
;
Zhu, Jian
;
Yuan, Xiaochen
;
Huang, Guoheng
; et al.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
3.3
/
3.4
|
Submit date:2022/11/07
Global Context-aware Network
Multi-feature Collaboration Adaptation Module
Scale-aware Mining Module
Edge-enhanced Pixel Intensity Mapping
Magnetic Resonance Imaging
Colorectal Cancer Liver Metastases
Siamese pyramid residual module with local binary convolution network for single object tracking
Journal article
Nie, Yan, Zhang, Taiping, Zhao, Linchang, Ma, Xindi, Tang, Yuanyan, Liu, Xiaoyu. Siamese pyramid residual module with local binary convolution network for single object tracking[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2021, 19(6), 2150026.
Authors:
Nie, Yan
;
Zhang, Taiping
;
Zhao, Linchang
;
Ma, Xindi
;
Tang, Yuanyan
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
0.9
/
1.1
|
Submit date:2022/05/13
Local Binary Convolution Network
Object Tracking
Pyramid Residual Module
Siamese Networks
Molecular evidence of herbal formula: a network-based analysis of Si-Wu decoction
Journal article
Zuo,Hua Li, Zhang,Qian Ru, Chen,Cen, Yang,Feng Qing, Yu,Hua, Hu,Yuan Jia. Molecular evidence of herbal formula: a network-based analysis of Si-Wu decoction[J]. Phytochemical Analysis, 2021, 32(2), 198-205.
Authors:
Zuo,Hua Li
;
Zhang,Qian Ru
;
Chen,Cen
;
Yang,Feng Qing
;
Yu,Hua
; et al.
Favorite
|
TC[WOS]:
7
TC[Scopus]:
6
IF:
3.0
/
3.2
|
Submit date:2021/03/01
Network Module
Network Pharmacology
Neuroendocrine Immunomodulation
Phytochemical Information
Si-wu Decoction
Reliability evaluation on weighted graph metrics of fNIRS brain networks
Journal article
Mengjing Wang, Zhen Yuan, Haijing Niu. Reliability evaluation on weighted graph metrics of fNIRS brain networks[J]. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2019, 9(5), 832-841.
Authors:
Mengjing Wang
;
Zhen Yuan
;
Haijing Niu
Favorite
|
TC[WOS]:
18
TC[Scopus]:
20
IF:
2.9
/
3.2
|
Submit date:2020/06/24
Functional Connectivity
Module
Weighted Network
Graph Theory
Small-world