Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model. - Liu Li; Mai Xu; Xiaofei Wang 004; Lai Jiang; Hanruo Liu (CVPR, 2019)

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening. - Tao Li 022; Yingqi Gao; Kai Wang 001; Song Guo 002; Hanruo Liu; Hong Kang (Inf. Sci., 2019)

DeepGF: Glaucoma Forecast Using the Sequential Fundus Images. - Liu Li; Xiaofei Wang 004; Mai Xu; Hanruo Liu; Ximeng Chen (MICCAI (5), 2020)

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. - Junde Wu; Shuang Yu; Wenting Chen; Kai Ma 002; Rao Fu; Hanruo Liu; Xiaoguang Di; Yefeng Zheng 001 (MICCAI (1), 2020)

Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. - Shuang Yu; Hong-Yu Zhou; Kai Ma 002; Cheng Bian; Chunyan Chu; Hanruo Liu; Yefeng Zheng 001 (MICCAI (1), 2020)

Applications of Artificial Intelligence in the Screening of Glaucoma in China. - Yue Zhang; Ningli Wang; Hanruo Liu (J. Medical Syst., 2020)

A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection. - Liu Li; Mai Xu; Hanruo Liu; Yang Li 010; Xiaofei Wang 004; Lai Jiang; Zulin Wang; Xiang Fan; Ningli Wang (IEEE Trans. Medical Imaging, 2020)

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. - Wei Ji 011; Shuang Yu; Junde Wu; Kai Ma 002; Cheng Bian; Qi Bi; Jingjing Li; Hanruo Liu; Li Cheng 001; Yefeng Zheng 001 (CVPR, 2021)

Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification. - Qi Bi; Shuang Yu; Wei Ji 011; Cheng Bian; Lijun Gong; Hanruo Liu; Kai Ma 002; Yefeng Zheng 001 (MICCAI (8), 2021)

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. - Shuang Yu; Kai Ma 002; Qi Bi; Cheng Bian; Munan Ning; Nanjun He; Yuexiang Li; Hanruo Liu; Yefeng Zheng 001 (MICCAI (8), 2021)

Applications of Deep Learning in Fundus Images: A Review. - Tao Li 002; Wang Bo; Chunyu Hu; Hong Kang; Hanruo Liu; Kai Wang 001; Huazhu Fu (CoRR, 2021)

Applications of deep learning in fundus images: A review. - Tao Li 022; Wang Bo; Chunyu Hu; Hong Kang; Hanruo Liu; Kai Wang 001; Huazhu Fu (Medical Image Anal., 2021)

A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. - Yongli Xu; Man Hu 003; Hanruo Liu; Hao Yang 008; Huaizhou Wang; Shuai Lu 003; Tianwei Liang; Xiaoxing Li; Mai Xu; Liu Li; Huiqi Li; Xin Ji; et al. (npj Digit. Medicine, 2021)

AMD Classification Based on Adversarial Domain Adaptation with Center Loss. - Shengzhu Yang; Xi Zhang; He Zhao 002; Huiqi Li; Hanruo Liu; Ningli Wang (ISBI, 2022)

Joint Learning of Multi-Level Tasks for Diabetic Retinopathy Grading on Low-Resolution Fundus Images. - Xiaofei Wang 004; Mai Xu; Jicong Zhang; Lai Jiang; Liu Li; Mengxian He; Ningli Wang; Hanruo Liu; Zulin Wang (IEEE J. Biomed. Health Informatics, 2022)

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 (ISBI, 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 070; Hanruo Liu; Hongyi Liu; Simeng Hou; Yuyang Zhao; Xuehui Shi; et al. (CoRR, 2023)

Retinal image enhancement with artifact reduction and structure retention. - Bingyu Yang; He Zhao 002; Lvchen Cao; Hanruo Liu; Ningli Wang; Huiqi Li (Pattern Recognit., 2023)

A deep network using coarse clinical prior for myopic maculopathy grading. - Yun Sun; Yu Li; Fengju Zhang; He Zhao 002; Hanruo Liu; Ningli Wang; Huiqi Li (Comput. Biol. Medicine, 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, 2023)

PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation. - Shuai Lu 003; He Zhao 002; Hanruo Liu; Huiqi Li; Ningli Wang (Neurocomputing, 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., 2023)

MIL-ViT: A multiple instance vision transformer for fundus image classification. - Qi Bi; Xu Sun 006; Shuang Yu; Kai Ma 002; Cheng Bian; Munan Ning; Nanjun He; Yawen Huang; Yuexiang Li; Hanruo Liu; Yefeng Zheng 001 (J. Vis. Commun. Image Represent., 2023)

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports. - Jiawei Du; Jia Guo; Weihang Zhang; Shengzhu Yang; Hanruo Liu; Huiqi Li; Ningli Wang (MICCAI (12), 2024)

PatchCL-AE: Anomaly detection for medical images using patch-wise contrastive learning-based auto-encoder. - Shuai Lu 003; Weihang Zhang; Jia Guo; Hanruo Liu; Huiqi Li; Ningli Wang (Comput. Medical Imaging Graph., 2024)

ViLReF: A Chinese Vision-Language Retinal Foundation Model. - Shengzhu Yang; Jiawei Du; Jia Guo; Weihang Zhang; Hanruo Liu; Huiqi Li; Ningli Wang (CoRR, 2024)

Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder. - Shuai Lu 003; Weihang Zhang; He Zhao 002; Hanruo Liu; Ningli Wang; Huiqi Li (IEEE Trans. Image Process., 2024)

Adaptive enhancement of cataractous retinal images for contrast standardization. - Bingyu Yang; Lvchen Cao; He Zhao 002; Huiqi Li; Hanruo Liu; Ningli Wang (Medical Biol. Eng. Comput., 2024)

Automatic diagnosis of myopic maculopathy using continuous severity ranking labels. - Yun Sun; Yu Li; Weihang Zhang; Fengju Zhang; Hanruo Liu; Ningli Wang; Huiqi Li (Clust. Comput., 2024)

RetSTA: An LLM-Based Approach for Standardizing Clinical Fundus Image Reports. - Jiushen Cai; Weihang Zhang; Hanruo Liu; Ningli Wang; Huiqi Li (CoRR, 2025)