Song Guo
Orcid: 0000-0001-6841-753XAffiliations:
- Xi'an University of Architecture and Technology, China
- Nankai University, China (former)
According to our database1,
Song Guo
authored at least 23 papers
between 2016 and 2025.
Collaborative distances:
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Bibliography
2025
Efficient multi-scale learning via scale embedding for diabetic retinopathy multi-lesion segmentation.
Biomed. Signal Process. Control., 2025
2024
Random color transformation for single domain generalized retinal image segmentation.
Eng. Appl. Artif. Intell., 2024
2023
DPN: detail-preserving network with high resolution representation for efficient segmentation of retinal vessels.
J. Ambient Intell. Humaniz. Comput., 2023
Bézier Curves Meet Deep Learning: A Novel Pretraining Method for Improved and Generalized Retinal Vessel Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Sensors, 2022
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
Comput. Biol. Medicine, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
AVNet: A retinal artery/vein classification network with category-attention weighted fusion.
Comput. Methods Programs Biomed., 2020
2019
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
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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
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
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016