Jianchun Zhao

According to our database1, Jianchun Zhao authored at least 24 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

RL-U2Net: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MIQ-SAM3D: From Single-Point Prompt to Multi-Instance Segmentation via Competitive Query Refinement.
CoRR, November, 2025

A DyL-Unet framework based on dynamic learning for Temporally Consistent Echocardiographic Segmentation.
CoRR, September, 2025

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

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

PaRCL: Pathology-aware Representation Contrastive Learning for Glaucoma Classification on Fundus Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Lesion Localization in OCT by Semi-Supervised Object Detection.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 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

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

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


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