Ying Chen
Orcid: 0000-0002-1914-8780Affiliations:
- Nanchang Hangkong University, School of Software, China
- Jilin University, School of Computer and Science, Changchun, China (PhD 2014)
According to our database1,
Ying Chen
authored at least 35 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
Neurocomputing, 2025
Focal difficult-to-predict pixels dice loss for mitigating data imbalance in medical image segmentation.
Expert Syst. Appl., 2025
Multi-threshold image segmentation method based on multi-strategy enhanced hunger games search algorithm: case study of breast cancer pathological images.
Displays, 2025
Multiscale attention feature deep fusion network for iris region localization and segmentation from dual-spectral iris image.
Appl. Soft Comput., 2025
2024
Two-Stage and Two-Discriminator generative adversarial network for the inpainting of irregularly incomplete iris images.
Displays, 2024
Joint margin adaption and multiscale feature fusion for COVID-19 CT images segmentation.
Biomed. Signal Process. Control., 2024
ICycle-GAN: Improved cycle generative adversarial networks for liver medical image generation.
Biomed. Signal Process. Control., 2024
BGSNet: A cascaded framework of boundary guided semantic for COVID-19 infection segmentation.
Biomed. Signal Process. Control., 2024
Dcctnet: Kidney Tumors Segmentation Based On Dual-Level Combination Of Cnn And Transformer.
Proceedings of the IEEE International Conference on Image Processing, 2024
2023
Comput. Biol. Medicine, September, 2023
Hybrid attention generative adversarial network: texture inpainting algorithm for iris defects with excellent repair performance and generalization.
J. Electronic Imaging, 2023
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet.
Neurocomputing, 2023
A deep residual attention-based U-Net with a biplane joint method for liver segmentation from CT scans.
Comput. Biol. Medicine, 2023
2022
DADCNet: Dual attention densely connected network for more accurate real iris region segmentation.
Int. J. Intell. Syst., 2022
Efficient two-step liver and tumour segmentation on abdominal CT via deep learning and a conditional random field.
Comput. Biol. Medicine, 2022
Proceedings of the Biometric Recognition - 16th Chinese Conference, 2022
2021
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection.
Knowl. Based Syst., 2021
J. Electronic Imaging, 2021
J. Electronic Imaging, 2021
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis.
Neurocomputing, 2021
Expert Syst. Appl., 2021
LDNNET: Towards Robust Classification of Lung Nodule and Cancer Using Lung Dense Neural Network.
IEEE Access, 2021
Proceedings of the Biometric Recognition - 15th Chinese Conference, 2021
Proceedings of the Biometric Recognition - 15th Chinese Conference, 2021
2020
A Lung Dense Deep Convolution Neural Network for Robust Lung Parenchyma Segmentation.
IEEE Access, 2020
2019
J. Electronic Imaging, 2019
An Improved Three-Factor User Authentication and Key Agreement Scheme for Wireless Medical Sensor Networks.
IEEE Access, 2019
Lung Parenchymal Segmentation Algorithm Based on Improved Marker Watershed for Lung CT Images.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019
End to End Robust Recognition Method for Iris Using a Dense Deep Convolutional Neural Network.
Proceedings of the Biometric Recognition - 14th Chinese Conference, 2019
2018
J. Comput., 2018
A Biometric-based User Authentication and Key Agreement Scheme for Heterogeneous Wireless Sensor Networks.
KSII Trans. Internet Inf. Syst., 2018
2015
J. Electronic Imaging, 2015
2014
Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric.
J. Electronic Imaging, 2014
2013
Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013