Dayong Ding

发表

Fully Deep Learning for Slit-Lamp Photo Based Nuclear Cataract Grading

Jun Wu, Xirong Li, Chaoxi Xu, 2019, MICCAI.

Tracking concept drifting with an online-optimized incremental learning framework

Bo Zhang, Jun Wu, Xian-Sheng Hua, 2005, MIR '05.

Hierarchical Attention Networks for Medical Image Segmentation

Xirong Li, Dayong Ding, Jun Wu, 2019, arXiv.org.

Automated diagnoses of age-related macular degeneration and polypoidal choroidal vasculopathy using bi-modal deep convolutional neural networks

Xirong Li, Dayong Ding, You-xin Chen, 2020, British Journal of Ophthalmology.

Lens Opacities Classification System III–based artificial intelligence program for automatic cataract grading

Jun Wu, Xiangjia Zhu, Wenwen He, 2021, Journal of cataract and refractive surgery.

Learning Two-Stream CNN for Multi-Modal Age-Related Macular Degeneration Categorization

Xirong Li, Dayong Ding, You-xin Chen, 2020, IEEE Journal of Biomedical and Health Informatics.

An Artificial-Intelligence–Based Automated Grading and Lesions Segmentation System for Myopic Maculopathy Based on Color Fundus Photographs

Y. Li, Xixi He, Dayong Ding, 2022, Translational vision science & technology.

Segmentation-based Information Extraction and Amalgamation in Fundus Images for Glaucoma Detection

Dayong Ding, Jianchun Zhao, Yanni Wang, 2022, ArXiv.

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

Dayong Ding, Jie Xu, Jiazhen Liu, 2022, ECCV.

Multi-level Amplified Iterative Training of Semi-Supervision Deep Learning For Glaucoma Diagnosis

Dayong Ding, Yu Tang, Gangwei Cheng, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Automated detection of severe diabetic retinopathy using deep learning method

Dayong Ding, You-xin Chen, Donghong Li, 2021, Graefe's Archive for Clinical and Experimental Ophthalmology.

Deep learning‐based detection and stage grading for optimising diagnosis of diabetic retinopathy

Xirong Li, Dayong Ding, You-xin Chen, 2021, Diabetes/metabolism research and reviews.

Optic Disc Hemorrhage Detection via A Novel Position-Guided Attention Network with Small Samples on Fundus Images

Dayong Ding, Gang Yang, Gangwei Cheng, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

AttenNet: Deep Attention Based Retinal Disease Classification in OCT Images

Jianping Fan, Yao Zhang, Xirong Li, 2019, MMM.

Laser Scar Detection in Fundus Images Using Convolutional Neural Networks

Xirong Li, Hao Wang, Dayong Ding, 2018, ACCV.

Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization

Xirong Li, Di Chen, Zhiyan Xu, 2019, MICCAI.

Prediction of OCT images of short-term response to anti-VEGF treatment for neovascular age-related macular degeneration using generative adversarial network

Xirong Li, Dayong Ding, You-xin Chen, 2020, British Journal of Ophthalmology.

Multi-Modal Multi-Instance Learning for Retinal Disease Recognition

Dayong Ding, Youxin Chen, Jianchun Zhao, 2021, ACM Multimedia.

Deep Multiple Instance Learning with Spatial Attention for ROP Case Classification, Instance Selection and Abnormality Localization

Dayong Ding, Qijie Wei, Xuemin Jin, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography

Xixi He, Dayong Ding, You-xin Chen, 2021, British Journal of Ophthalmology.

An Optical Coherence Tomography-Based Deep Learning Algorithm for Visual Acuity Prediction of Highly Myopic Eyes After Cataract Surgery

Xiangjia Zhu, Wenwen He, Yi Lu, 2021, Frontiers in Cell and Developmental Biology.

Three-dimensional diabetic macular edema thickness maps based on fluid segmentation and fovea detection using deep learning.

Dayong Ding, Guangze Wang, H. Dai, 2022, International journal of ophthalmology.

Tsinghua University at TRECVID 2004: Shot Boundary Detection and High-Level Feature Extraction

Jun Wu, Dong Wang, Bo Zhang, 2004, TRECVID.

Oval Shape Constraint based Optic Disc and Cup Segmentation in Fundus Photographs

Xirong Li, Jie Xu, Jun Wu, 2019, BMVC.

High-Order Attention Networks for Medical Image Segmentation

Xirong Li, Jun Wu, Gang Yang, 2020, MICCAI.

Four Models for Automatic Recognition of Left and Right Eye in Fundus Images

Jun Wu, Xirong Li, Jieping Xu, 2018, MMM.

Automatic Retinal Nerve Fiber Trajectory Simulation and Quasi-polar Transformation for Detecting Retinal Nerve Fiber Layer Defect in Fundus Images

Dayong Ding, Jianchun Zhao, Gang Yang, 2023, 2023 IEEE International Conference on Multimedia and Expo (ICME).

Retinal Nerve Fiber Layer Defect Detection with Position Guidance

Gang Yang, Fei Ding, Dayong Ding, 2020, MICCAI.

Unsupervised Domain Expansion for Visual Categorization

Gang Yang, Dayong Ding, Xirong Li, 2021, ACM Trans. Multim. Comput. Commun. Appl..