Jie Xu

According to our database, Jie Xu authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

A spatiotemporal convolution recurrent neural network for pixel-level peripapillary atrophy prediction using sequential fundus images.

Mengxuan Li, Weihang Zhang, He Zhao, Yubin Xu, Jie Xu, Huiqi Li

Appl. Soft Comput., 2024

2023

Semi-supervised peripapillary atrophy segmentation with shape constraint.

Mengxuan Li, Weihang Zhang, Ruixiao Yang, Jie Xu, He Zhao, Huiqi Li

Comput. Biol. Medicine, November, 2023

A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation.

Yidong Chai, Hongyan Liu, Jie Xu, Sagar Samtani, Yuanchun Jiang, Haoxin Liu

ACM Trans. Manag. Inf. Syst., June, 2023

2022

Peripapillary Atrophy Segmentation Based on ASM Loss.

Mengxuan Li, He Zhao, Jie Xu, Huiqi Li

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Semi-supervised Keypoint Detector and Descriptor for Retinal Image Matching.

Jiazhen Liu, Xirong Li, Qijie Wei, Jie Xu, Dayong Ding

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model.

Yidong Chai, Yiyang Bian, Hongyan Liu, Jiaxing Li, Jie Xu

Inf. Process. Manag., 2021

Automatic Diagnosis of Glaucoma on Color Fundus Images Using Adaptive Mask Deep Network.

Gang Yang, Fan Li, Dayong Ding, Jun Wu, Jie Xu

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Peripapillary Atrophy Segmentation with Boundary Guidance.

Mengxuan Li, He Zhao, Jie Xu, Huiqi Li

Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

2020

Automatic detection of parapapillary atrophy and its association with children myopia.

Hanxiang Li, Huiqi Li, Jieliang Kang, Yunlong Feng, Jie Xu

Comput. Methods Programs Biomed., 2020

A new convolutional neural network model for peripapillary atrophy area segmentation from retinal fundus images.

Yidong Chai, Hongyan Liu, Jie Xu

Appl. Soft Comput., 2020

A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification.

Hongyang Jiang, Jie Xu, Rongjie Shi, Kang Yang, Dongdong Zhang, Mengdi Gao, He Ma, Wei Qian

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Hierarchical Attention Networks for Medical Image Segmentation.

Fei Ding, Gang Yang, Jinlu Liu, Jun Wu, Dayong Ding, Jie Xu, Gangwei Cheng, Xirong Li

CoRR, 2019

Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior.

Jun Wu, Jiapei Wang, Jie Xu, Yiting Wang, Kaiwei Wang, Zongjiang Shang, Dayong Ding, Xirong Li, Gang Yang, Xuemin Jin, Yanting Wang, Fangfang Dai, Jianping Fan

Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Oval Shape Constraint based Optic Disc and Cup Segmentation in Fundus Photographs.

Jun Wu, Kaiwei Wang, Zongjiang Shang, Jie Xu, Dayong Ding, Xirong Li, Gang Yang

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Refinement of Parapapillary Atrophy Segmentation Based on Conditional Random Field.

Xi Zhang, Hanxiang Li, Jie Xu, Huiqi Li

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

Segmentaion of Parapapillary Atrophy in Retinal Images using HED.

Yunlong Feng, Hanxiang Li, Jie Xu, Huiqi Li

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models.

Yidong Chai, Hongyan Liu, Jie Xu

Knowl. Based Syst., 2018