Dayong Ding

According to our database1, Dayong Ding authored at least 50 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A geometry-aware multi-coordinate transformation fusion network for optic disc and cup segmentation.
Appl. Intell., April, 2024

The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial.
npj Digit. Medicine, 2024

Removing Stray-Light for Wild-Field Fundus Image Fusion Based on Large Generative Models.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Fine-Grained Multi-modal Fundus Image Generation Based on Diffusion Models for Glaucoma Classification.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

A Dual-Stream Network for Langerhans' Cells Segmentation in CCM Images.
Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

2023
Cross-domain Collaborative Learning for Recognizing Multiple Retinal Diseases from Wide-Field Fundus Images.
CoRR, 2023

Representation, Alignment, Fusion: A Generic Transformer-Based Framework for Multi-modal Glaucoma Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Automatic Retinal Nerve Fiber Trajectory Simulation and Quasi-polar Transformation for Detecting Retinal Nerve Fiber Layer Defect in Fundus Images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

LACL: Lesion-Aware Contrastive Learning Framework for Medical Image Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Learning Two-Stream CNN for Multi-Modal Age-Related Macular Degeneration Categorization.
IEEE J. Biomed. Health Informatics, 2022

Segmentation-based Information Extraction and Amalgamation in Fundus Images for Glaucoma Detection.
CoRR, 2022

MMF-Net: A Novel Multimodal Multiscale Fusion Network for Artery/Vein Segmentation in Retinal Fundus.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Fundus Photograph Defect Repair Algorithm Based on Portable Camera Empty Shot.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022

Contour Offset Map: A New Component Designed for Smooth and Robust Optic Disc/Cup Contour Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Optic Disc Hemorrhage Detection via A Novel Position-Guided Attention Network with Small Samples on Fundus Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Unsupervised Domain Expansion for Visual Categorization.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Automatic Diagnosis of Glaucoma on Color Fundus Images Using Adaptive Mask Deep Network.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Multi-Modal Multi-Instance Learning for Retinal Disease Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Depth Mapping Hybrid Deep Learning Method for Optic Disc and Cup Segmentation on Stereoscopic Ocular Fundus.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Multi-level Amplified Iterative Training of Semi-Supervision Deep Learning For Glaucoma Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
AttenNet: Deep Attention Based Retinal Disease Classification in OCT Images.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

High-Order Attention Networks for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Retinal Nerve Fiber Layer Defect Detection with Position Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A GAN-based Domain Adaptation Method for Glaucoma Diagnosis.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learn to Segment Retinal Lesions and Beyond.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Multiple Instance Learning with Spatial Attention for ROP Case Classification, Instance Selection and Abnormality Localization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Hierarchical Attention Networks for Medical Image Segmentation.
CoRR, 2019

A Coarse-to-fine Cascading Model for Cataract Nuclear Segmentation in Slit-lamp Photographs.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Four Models for Automatic Recognition of Left and Right Eye in Fundus Images.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Joint Localization of Optic Disc and Fovea in Ultra-widefield Fundus Images.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Fully Deep Learning for Slit-Lamp Photo Based Nuclear Cataract Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Oval Shape Constraint based Optic Disc and Cup Segmentation in Fundus Photographs.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Laser Scar Detection in Fundus Images Using Convolutional Neural Networks.
Proceedings of the Computer Vision - ACCV 2018, 2018

2010
Multi-sensor fusion for interactive visual computing in mixed environment.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

2009
Mirror world navigation for mobile users based on augmented reality.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

2007

AHP: A New Strategy for the Semantic Concept Detection in Video.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Probabilistic model supported rank aggregation for the semantic concept detection in video.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

2005
Tsinghua University at TRECVID 2005.
Proceedings of the 2005 TREC Video Retrieval Evaluation, 2005

Tracking concept drifting with an online-optimized incremental learning framework.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Two kinds of timing cues and their usage in concept detection in news video.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Temporal Shot Clustering Analysis for Video Concept Detection.
Proceedings of the Advances in Information Retrieval, 2005

AP-Based Borda Voting Method for Feature Extraction in TRECVID-2004.
Proceedings of the Advances in Information Retrieval, 2005

2004
Tsinghua University at TRECVID 2004: Shot Boundary Detection and High-Level Feature Extraction.
Proceedings of the 2004 TREC Video Retrieval Evaluation, 2004


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