Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution.
IEEE Trans. Neural Networks Learn. Syst., September, 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
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
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
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
OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images.
IEEE Trans. Image Process., 2020
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
Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
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
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