Gongping Chen
Orcid: 0000-0002-3031-5308
According to our database1,
Gongping Chen
authored at least 29 papers
between 2010 and 2025.
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Bibliography
2025
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images.
Medical Image Anal., 2025
2024
ESKNet: An enhanced adaptive selection kernel convolution for ultrasound breast tumors segmentation.
Expert Syst. Appl., 2024
Taking measurement in every direction: Implicit scene representation for accurately estimating target dimensions under monocular endoscope.
Comput. Methods Programs Biomed., 2024
2023
Pattern Recognit., October, 2023
DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation.
Expert Syst. Appl., August, 2023
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images.
IEEE Trans. Medical Imaging, May, 2023
Asymmetric U-shaped network with hybrid attention mechanism for kidney ultrasound images segmentation.
Expert Syst. Appl., February, 2023
Improving computer network security evaluation with grey relational analysis and probabilistic simplified neutrosophic sets.
Int. J. Knowl. Based Intell. Eng. Syst., 2023
Research on the privacy protection model of government cyber security in smart cities based on big data.
Int. J. Web Eng. Technol., 2023
Int. J. Inf. Commun. Technol., 2023
RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation.
Eng. Appl. Artif. Intell., 2023
BAAF: A Benchmark Attention Adaptive Framework for Medical Ultrasound Image Segmentation Tasks.
CoRR, 2023
2022
Optimization and regularization of complex task decomposition for blind removal of multi-factor degradation.
J. Vis. Commun. Image Represent., 2022
MBDSNet: Automatic segmentation of kidney ultrasound images using a multi-branch and deep supervision network.
Digit. Signal Process., 2022
ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation.
CoRR, 2022
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images.
CoRR, 2022
Comput. Methods Programs Biomed., 2022
C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation.
Comput. Methods Programs Biomed., 2022
Comput. Biol. Medicine, 2022
Multimodal Failure Matching Point Based Motion Object Saliency Detection for Unconstrained Videos.
Appl. Artif. Intell., 2022
Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation.
Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022
2021
SDFNet: Automatic segmentation of kidney ultrasound images using multi-scale low-level structural feature.
Expert Syst. Appl., 2021
A New Segmentation Method to Preserve the Underlying Image Features: U-Net with Multi-scale Pooling.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021
2020
Signal Image Video Process., 2020
Appl. Soft Comput., 2020
2019
J. Electronic Imaging, 2019
2010
Proceedings of the Sixth International Conference on Natural Computation, 2010