Kai Yu

Orcid: 0000-0001-6752-6216

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.
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

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature.
CoRR, 2023

Towards Instance-adaptive Inference for Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
MsTGANet: Automatic Drusen Segmentation From Retinal OCT Images.
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

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

2021
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images.
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
OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images.
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

A CNN based retinal regression model for Bruch's membrane opening detection.
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


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