Publications

You can also find my publications on my Google Scholar profile.

2024

• Kai Yu, et al. “UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling.” International Conference on Medical Image Computing and Computer Assisted Intervention, 2024. arxiv.org.

• Meng Wang¹, Kai Yu¹, et al. “Reliable Federated Disentangling Network for Non-IID Domain Feature.” IEEE Transactions on Big Data, 2024. ieee.org. (Co-first Author)

• Meng Wang¹, Kai Yu¹, et al. “Reliable segmentation of multiple lesions from medical images.” Medical Physics, 2024. wiley.com. (Co-first Author)

• Chunmei Feng, Yunlu Yan, Kai Yu, et al. “Exploring Separable Attention for Multi-contrast MR Image Super-resolution.” IEEE Transactions on Neural Networks and Learning Systems, 2024. ieee.org.

• Meng Wang, Tian Lin, Kai Yu, et al. “Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.” arXiv preprint arXiv:2406.09317, 2024. arxiv.org.

• Kai Yu, et al. “A Collaborative Multi-view Network for Heart Sound Auscultation Among Multiple Institutions.” Under Review, 2024.

• Chunmei Feng, Kai Yu^*, et al. “Text to Image for Multi-label Image Recognition with Joint Prompt-adapter Learning.” openreview, 2024. openreview. (Corresponding Author)

2023

• Chunmei Feng, Kai Yu^*, et al. “Towards Instance-adaptive Inference for Federated Learning.” Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023. thecvf.com. (Corresponding Author)

• Chunmei Feng, Kai Yu^*, et al. “Diverse Data Augmentation with Diffusions for Effective Test-Time Prompt Tuning.” Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023. thecvf.com. (Corresponding Author)

• Yuhe Shen, Jiang Li, Weifang Zhu, Kai Yu, et al. “Graph Attention U-Net for Retinal Layer Surface Detection and Choroid Neovascularization Segmentation in OCT Images.” IEEE Transactions on Medical Imaging, 2023. ieee.org.

• Meng Wang, Tian Lin, Yuanyuan Peng, Weifang Zhu, Fei Shi, Kai Yu, et al. “Self-Guided Optimization Semi-supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images.” IEEE Transactions on Biomedical Engineering, 2023. ieee.org.

2022

• Meng Wang¹, Kai Yu¹, et al. “Tiny-lesion Segmentation in OCT Via Multi-Scale Wavelet Enhanced Transformer.” International Workshop on Ophthalmic Medical Image Analysis, MICCAI, 2022. google.com. (Co-first Author)

• Weize Xu¹, Kai Yu¹, et al. “Automatic Pediatric Congenital Heart Disease Classification Based on Heart Sound Signal.” Artificial Intelligence in Medicine, 2022. sciencedirect.com. (Co-first Author)

2021

• Yi Zhou, Kai Yu, et al. “Speckle Noise Reduction for OCT Images Based on Image Style Transfer and Conditional GAN.” IEEE Journal of Biomedical and Health Informatics, 2021.

• Meng Wang, Weifang Zhu, Kai Yu, et al. “Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images.” IEEE Transactions on Medical Imaging, 2021.

• Meng Wang, Weifang Zhu, Fei Shi, Jinzhu Su, Haoyu Chen, Kai Yu, et al. “MsTGANet: Automatic Drusen Segmentation from Retinal OCT Images.” IEEE Transactions on Medical Imaging, 2021.

• Yuanyuan Peng, Weifang Zhu, Zhongyue Chen, Meng Wang, Le Geng, Kai Yu, et al. “Automatic Staging for Retinopathy of Prematurity with Deep Feature Fusion and Ordinal Classification Strategy.” IEEE Transactions on Medical Imaging, 2021.

2016 - 2020

• Linjiao Pan, Fei Shi, Dehui Xiang, Kai Yu, et al. “OCTRexpert: A Feature-based 3D Registration Method for Retinal OCT Images.” IEEE Transactions on Image Processing, 2020.

• Fei Li¹, Kai Yu¹, et al. “Automatic Assessment of Biometric Parameters in Optic Nerve Head Area by ‘Zhongshan ONH Calculator (ZOC)’.” Current Eye Research, 2019. (Co-first Author)

• Meng Wang, Kai Yu, et al. “Multi-Strategy Deep Learning Method for Glaucoma Screening on Fundus Image.” Investigative Ophthalmology & Visual Science, 2019.

• Liling Guan, Kai Yu, et al. “Fully Automated Detection and Quantification of Multiple Retinal Lesions in OCT Volumes Based on Deep Learning and Improved DRLSE.” Medical Imaging 2019: Image Processing. SPIE, 2019.

• Yuhe Shen, Liling Guan, Kai Yu, et al. “A CNN Based Retinal Regression Model for Bruch’s Membrane Opening Detection.” Medical Imaging 2019: Image Processing. SPIE, 2019.

• Lichun Zhang, Deihui Xiang, Chao Jin, Fei Shi, Kai Yu, et al. “OIPAV: An Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization.” Journal of Digital Imaging, 2019.

• Kai Yu, et al. “Shared-hole Graph Search with Adaptive Constraints for 3D Optic Nerve Head Optical Coherence Tomography Image Segmentation.” Biomedical Optics Express, 2018.

• Yibiao Rong, Kai Yu, et al. “Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming.” International Workshop on Ophthalmic Medical Image Analysis, MICCAI, 2018.

• Yibiao Rong, Dehui Xiang, Weifang Zhu, Kai Yu, et al. “Surrogate-assisted Retinal OCT Image Classification Based on Convolutional Neural Networks.” IEEE Journal of Biomedical and Health Informatics, 2018.

• Kai Yu, et al. “A novel 3D Graph Cut Based Co-segmentation of Lung Tumor on PET-CT Images with Gaussian Mixture Models.” Medical Imaging 2016: Image Processing. SPIE, 2016.

• Ivica Kopriva, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, et al. “Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images.” IEEE Journal of Biomedical and Health Informatics, 2016.