Hanruo Liu

According to our database1, Hanruo Liu authored at least 29 papers between 2019 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automatic diagnosis of myopic maculopathy using continuous severity ranking labels.
Clust. Comput., December, 2024

Adaptive enhancement of cataractous retinal images for contrast standardization.
Medical Biol. Eng. Comput., February, 2024

Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder.
IEEE Trans. Image Process., 2024

ViLReF: A Chinese Vision-Language Retinal Foundation Model.
CoRR, 2024

PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder.
Comput. Medical Imaging Graph., 2024

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
MIL-ViT: A multiple instance vision transformer for fundus image classification.
J. Vis. Commun. Image Represent., December, 2023

A fundus image classification framework for learning with noisy labels.
Comput. Medical Imaging Graph., September, 2023

PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation.
Neurocomputing, June, 2023

Deep ensemble learning for accurate retinal vessel segmentation.
Comput. Biol. Medicine, May, 2023

A deep network using coarse clinical prior for myopic maculopathy grading.
Comput. Biol. Medicine, March, 2023

Retinal image enhancement with artifact reduction and structure retention.
Pattern Recognit., 2023

VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence.
CoRR, 2023

Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Joint Learning of Multi-Level Tasks for Diabetic Retinopathy Grading on Low-Resolution Fundus Images.
IEEE J. Biomed. Health Informatics, 2022

AMD Classification Based on Adversarial Domain Adaptation with Center Loss.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis.
npj Digit. Medicine, 2021

Applications of deep learning in fundus images: A review.
Medical Image Anal., 2021

Applications of Deep Learning in Fundus Images: A Review.
CoRR, 2021

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection.
IEEE Trans. Medical Imaging, 2020

Applications of Artificial Intelligence in the Screening of Glaucoma in China.
J. Medical Syst., 2020

Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

DeepGF: Glaucoma Forecast Using the Sequential Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening.
Inf. Sci., 2019

Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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