Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models. - Yidong Chai; Hongyan Liu 002; Jie Xu 010 (Knowl. Based Syst., 2018)

Segmentaion of Parapapillary Atrophy in Retinal Images using HED. - Yunlong Feng; Hanxiang Li; Jie Xu 010; Huiqi Li (CISP-BMEI, 2019)

Refinement of Parapapillary Atrophy Segmentation Based on Conditional Random Field. - Xi Zhang; Hanxiang Li; Jie Xu 010; Huiqi Li (CISP-BMEI, 2019)

Oval Shape Constraint based Optic Disc and Cup Segmentation in Fundus Photographs. - Jun Wu 022; Kaiwei Wang; Zongjiang Shang; Jie Xu 010; Dayong Ding; Xirong Li 001; Gang Yang 001 (BMVC, 2019)

Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior. - Jun Wu 022; Jiapei Wang; Jie Xu 010; Yiting Wang; Kaiwei Wang; Zongjiang Shang; Dayong Ding; Xirong Li 001; Gang Yang 001; Xuemin Jin; Yanting Wang; Fangfang Dai; et al. (OMIA@MICCAI, 2019)

Hierarchical Attention Networks for Medical Image Segmentation. - Fei Ding; Gang Yang 001; Jinlu Liu; Jun Wu 022; Dayong Ding; Jie Xu 010; Gangwei Cheng; Xirong Li 001 (CoRR, 2019)

A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. - Hongyang Jiang 001; Jie Xu 010; Rongjie Shi; Kang Yang; Dongdong Zhang; Mengdi Gao; He Ma; Wei Qian 001 (EMBC, 2020)

A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images. - Yidong Chai; Hongyan Liu 002; Jie Xu 010 (Appl. Soft Comput., 2020)

Automatic detection of parapapillary atrophy and its association with children myopia. - Hanxiang Li; Huiqi Li; Jieliang Kang; Yunlong Feng; Jie Xu 010 (Comput. Methods Programs Biomed., 2020)

Peripapillary Atrophy Segmentation with Boundary Guidance. - Mengxuan Li 001; He Zhao 002; Jie Xu 010; Huiqi Li (OMIA@MICCAI, 2021)

Automatic Diagnosis of Glaucoma on Color Fundus Images Using Adaptive Mask Deep Network. - Gang Yang 001; Fan Li; Dayong Ding; Jun Wu 022; Jie Xu 010 (MMM (2), 2021)

Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model. - Yidong Chai; Yiyang Bian; Hongyan Liu 002; Jiaxing Li; Jie Xu 010 (Inf. Process. Manag., 2021)

Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching. - Jiazhen Liu; Xirong Li 001; Qijie Wei; Jie Xu 010; Dayong Ding (ECCV (21), 2022)

Peripapillary Atrophy Segmentation Based on ASM Loss. - Mengxuan Li 001; He Zhao 002; Jie Xu 010; Huiqi Li (ISBI, 2022)

A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation. - Yidong Chai; Hongyan Liu 002; Jie Xu 010; Sagar Samtani; Yuanchun Jiang; Haoxin Liu 003 (ACM Trans. Manag. Inf. Syst., 2023)

Semi-supervised peripapillary atrophy segmentation with shape constraint. - Mengxuan Li 001; Weihang Zhang; Ruixiao Yang; Jie Xu 010; He Zhao 002; Huiqi Li (Comput. Biol. Medicine, 2023)

A spatiotemporal convolution recurrent neural network for pixel-level peripapillary atrophy prediction using sequential fundus images. - Mengxuan Li 001; Weihang Zhang; He Zhao 002; Yubin Xu; Jie Xu 010; Huiqi Li (Appl. Soft Comput., 2024)

Segmentation refinement using active shape constraints for peripapillary atrophy detection. - Mengxuan Li 001; Ruixiao Yang; Hanxiang Li; Weihang Zhang; Jie Xu 010; Huiqi Li (Biomed. Signal Process. Control., 2025)

A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis. - Jie Xu 010; Erkang Jing; Yidong Chai (BMC Medical Informatics Decis. Mak., 2025)