Song Guo

Orcid: 0000-0001-6841-753X

Affiliations:
  • Xi'an University of Architecture and Technology, China
  • Nankai University, China (former)


According to our database1, Song Guo authored at least 20 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
DPN: detail-preserving network with high resolution representation for efficient segmentation of retinal vessels.
J. Ambient Intell. Humaniz. Comput., 2023

2022
LightEyes: A Lightweight Fundus Segmentation Network for Mobile Edge Computing.
Sensors, 2022

CSGNet: Cascade semantic guided net for retinal vessel segmentation.
Biomed. Signal Process. Control., 2022

MDANet: Multi-Direction Attention Network for Curvilinear Structure Segmentation of Biomedical Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Mountain Summit Recognition Method Based on Improved Faster R-CNN.
Complex., 2021

Fundus image segmentation via hierarchical feature learning.
Comput. Biol. Medicine, 2021

Vertically-nested Network for Automatic Vessel Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Bin loss for hard exudates segmentation in fundus images.
Neurocomputing, 2020

AVNet: A retinal artery/vein classification network with category-attention weighted fusion.
Comput. Methods Programs Biomed., 2020

2019
DCNR: deep cube CNN with random forest for hyperspectral image classification.
Multim. Tools Appl., 2019

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening.
Inf. Sci., 2019

L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images.
Neurocomputing, 2019

BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.
Int. J. Medical Informatics, 2019

Aggregation Connection Network For Tiny Face Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Random Drop Loss for Tiny Object Segmentation: Application to Lesion Segmentation in Fundus Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Random Inception Module and Its Parallel Implementation.
Proceedings of the Advanced Parallel Processing Technologies, 2019

2018
Deeply supervised neural network with short connections for retinal vessel segmentation.
CoRR, 2018

Training Restricted Boltzmann Machines Using Modified Objective Function Based on Limiting the Free Energy Value.
IEEE Access, 2018

2016
A Method of Discriminative Features Extraction for Restricted Boltzmann Machines.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016


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