Hanruo Liu

According to our database, Hanruo Liu authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive enhancement of cataractous retinal images for contrast standardization.

Bingyu Yang, Lvchen Cao, He Zhao, Huiqi Li, Hanruo Liu, Ningli Wang

Medical Biol. Eng. Comput., February, 2024

Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder.

Shuai Lu, Weihang Zhang, He Zhao, Hanruo Liu, Ningli Wang, Huiqi Li

IEEE Trans. Image Process., 2024

2023

MIL-ViT: A multiple instance vision transformer for fundus image classification.

Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng

J. Vis. Commun. Image Represent., December, 2023

A fundus image classification framework for learning with noisy labels.

Tingxin Hu, Bingyu Yang, Jia Guo, Weihang Zhang, Hanruo Liu, Ningli Wang, Huiqi Li

Comput. Medical Imaging Graph., September, 2023

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

Shuai Lu, He Zhao, Hanruo Liu, Huiqi Li, Ningli Wang

Neurocomputing, June, 2023

Deep ensemble learning for accurate retinal vessel segmentation.

Lingling Du, Hanruo Liu, Lan Zhang, Yao Lu, Mengyao Li, Yang Hu, Yi Zhang

Comput. Biol. Medicine, May, 2023

A deep network using coarse clinical prior for myopic maculopathy grading.

Yun Sun, Yu Li, Fengju Zhang, He Zhao, Hanruo Liu, Ningli Wang, Huiqi Li

Comput. Biol. Medicine, March, 2023

Retinal image enhancement with artifact reduction and structure retention.

Bingyu Yang, He Zhao, Lvchen Cao, Hanruo Liu, Ningli Wang, Huiqi Li

Pattern Recognit., 2023

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

Jianing Qiu, Jian Wu, Hao Wei, Peilun Shi, Minqing Zhang, Yunyun Sun, Lin Li, Hanruo Liu, Hongyi Liu, Simeng Hou, Yuyang Zhao, Xuehui Shi, Junfang Xian, Xiaoxia Qu, Sirui Zhu, Lijie Pan, Xiaoniao Chen, Xiaojia Zhang, Shuai Jiang, Kebing Wang, Chenlong Yang, Mingqiang Chen, Sujie Fan, Jianhua Hu, Aiguo Lv, Hui Miao, Li Guo, Shujun Zhang, Cheng Pei, Xiaojuan Fan, Jianqin Lei, Ting Wei, Junguo Duan, Chun Liu, Xiaobo Xia, Siqi Xiong, Junhong Li, Benny Lo, Yih Chung Tham, Tien Yin Wong, Ningli Wang, Wu Yuan

CoRR, 2023

Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification.

Lize Jia, Jia Guo, Weihang Zhang, Hanruo Liu, Ningli Wang, Huiqi Li

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.

Xiaofei Wang, Mai Xu, Jicong Zhang, Lai Jiang, Liu Li, Mengxian He, Ningli Wang, Hanruo Liu, Zulin Wang

IEEE J. Biomed. Health Informatics, 2022

AMD Classification Based on Adversarial Domain Adaptation with Center Loss.

Shengzhu Yang, Xi Zhang, He Zhao, Huiqi Li, Hanruo Liu, Ningli Wang

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.

Yongli Xu, Man Hu, Hanruo Liu, Hao Yang, Huaizhou Wang, Shuai Lu, Tianwei Liang, Xiaoxing Li, Mai Xu, Liu Li, Huiqi Li, Xin Ji, Zhijun Wang, Li Li, Robert N. Weinreb, Ningli Wang

npj Digit. Medicine, 2021

Applications of deep learning in fundus images: A review.

Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu

Medical Image Anal., 2021

Applications of Deep Learning in Fundus Images: A Review.

Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu

CoRR, 2021

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.

Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng

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.

Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng

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.

Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng

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.

Liu Li, Mai Xu, Hanruo Liu, Yang Li, Xiaofei Wang, Lai Jiang, Zulin Wang, Xiang Fan, Ningli Wang

IEEE Trans. Medical Imaging, 2020

Applications of Artificial Intelligence in the Screening of Glaucoma in China.

Yue Zhang, Ningli Wang, Hanruo Liu

J. Medical Syst., 2020

Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling.

Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.

Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

DeepGF: Glaucoma Forecast Using the Sequential Fundus Images.

Liu Li, Xiaofei Wang, Mai Xu, Hanruo Liu, Ximeng Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening.

Tao Li, Yingqi Gao, Kai Wang, Song Guo, Hanruo Liu, Hong Kang

Inf. Sci., 2019

Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model.

Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019