Zailiang Chen
Orcid: 0000-0003-3542-8261Affiliations:
- Central South University, School of Computer Science and Engineering, Changsha, China
According to our database1,
Zailiang Chen
authored at least 41 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
HAIC-NET: Semi-supervised OCTA vessel segmentation with self-supervised pretext task and dual consistency training.
Pattern Recognit., 2024
Classification of recurrent major depressive disorder using a residual denoising autoencoder framework: Insights from large-scale multisite fMRI data.
Comput. Methods Programs Biomed., 2024
PaCaS-WAA: Patch-Based Contrastive Semi-Supervised Learning with Wavelet Guidance and Adaptive Augmentation for Tumour Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
IEEE Trans. Knowl. Data Eng., July, 2023
FDCT: Fusion-Guided Dual-View Consistency Training for semi-supervised tissue segmentation on MRI.
Comput. Biol. Medicine, June, 2023
Geometry-Adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Medical Image Anal., 2022
ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
A Pair-Metamorphosis-Decouple Synthetic Data Scheme for Color Fundus Image Registration.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
FAZ-BV: A Diabetic Macular Ischemia Grading Framework Combining Faz Attention Network and Blood Vessel Enhancement Filters.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
A refined equilibrium generative adversarial network for retinal vessel segmentation.
Neurocomputing, 2021
IET Image Process., 2021
2020
Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning.
IEEE J. Biomed. Health Informatics, 2020
DN-GAN: Denoising generative adversarial networks for speckle noise reduction in optical coherence tomography images.
Biomed. Signal Process. Control., 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Medical Biol. Eng. Comput., 2019
Combination of Enhanced Depth Imaging Optical Coherence Tomography and Fundus Images for Glaucoma Screening.
J. Medical Syst., 2019
Automated retinal layer segmentation in OCT images of age-related macular degeneration.
IET Image Process., 2019
A Symmetric Equilibrium Generative Adversarial Network with Attention Refine Block for Retinal Vessel Segmentation.
CoRR, 2019
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation.
CoRR, 2019
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
J. Comput. Sci. Technol., 2018
IET Image Process., 2018
Comput. Graph., 2018
2017
IEEE Trans. Image Process., 2017
J. Comput. Sci. Technol., 2017
Automatic Anterior Lamina Cribrosa Surface Depth Measurement Based on Active Contour and Energy Constraint.
J. Comput. Sci. Technol., 2017
Comput. Medical Imaging Graph., 2017
A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images.
Comput. Medical Imaging Graph., 2017
2016
Natural scene text detection by multi-scale adaptive color clustering and non-text filtering.
Neurocomputing, 2016
Int. J. Auton. Adapt. Commun. Syst., 2016
2015
J. Vis. Commun. Image Represent., 2015
2008
Proceedings of the 9th International Conference for Young Computer Scientists, 2008