Kai Yu
Orcid: 0000-0001-6752-6216Affiliations:
- Soochow University, School of Electronics and Information Engineering, Jiangsu, China
- Minjiang University, Collaborative Innovation Center of IoT Industrialization and Intelligent Production, Fuzhou, China
According to our database1,
Kai Yu
authored at least 21 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Graph Attention U-Net for Retinal Layer Surface Detection and Choroid Neovascularization Segmentation in OCT Images.
IEEE Trans. Medical Imaging, November, 2023
Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images.
IEEE Trans. Biomed. Eng., July, 2023
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
IEEE Trans. Medical Imaging, 2022
Speckle Noise Reduction for OCT Images Based on Image Style Transfer and Conditional GAN.
IEEE J. Biomed. Health Informatics, 2022
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022
2021
IEEE Trans. Medical Imaging, 2021
Automatic Staging for Retinopathy of Prematurity With Deep Feature Fusion and Ordinal Classification Strategy.
IEEE Trans. Medical Imaging, 2021
2020
IEEE Trans. Image Process., 2020
2019
Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2019
OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization.
J. Digit. Imaging, 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Fully automated detection and quantification of multiple retinal lesions in OCT volumes based on deep learning and improved DRLSE.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
2018
Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
2017
Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images.
IEEE J. Biomed. Health Informatics, 2017
2016
A novel 3D graph cut based co-segmentation of lung tumor on PET-CT images with Gaussian mixture models.
Proceedings of the Medical Imaging 2016: Image Processing, 2016