Hongyang Jiang

According to our database, Hongyang Jiang authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis.

Mengdi Gao, Hongyang Jiang, Lei Zhu, Zhe Jiang, Mufeng Geng, Qiushi Ren, Yanye Lu

Medical Image Anal., October, 2023

Eye tracking based deep learning analysis for the early detection of diabetic retinopathy: A pilot study.

Hongyang Jiang, Yilin Hou, Hanpei Miao, Haili Ye, Mengdi Gao, Xiaoling Li, Richu Jin, Jiang Liu

Biomed. Signal Process. Control., July, 2023

Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification.

Hongyang Jiang, Mengdi Gao, Heng Li, Richu Jin, Hanpei Miao, Jiang Liu

IEEE J. Biomed. Health Informatics, January, 2023

GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy.

Hongyang Jiang, Mengdi Gao, Zirong Liu, Chen Tang, Xiaoqing Zhang, Shuai Jiang, Wu Yuan, Jiang Liu

CoRR, 2023

Label-noise-tolerant medical image classification via self-attention and self-supervised learning.

Hongyang Jiang, Mengdi Gao, Yan Hu, Qiushi Ren, Zhaoheng Xie, Jiang Liu

CoRR, 2023

Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection.

Hongyang Jiang, Jingqi Huang, Chen Tang, Xiaoqing Zhang, Mengdi Gao, Jiang Liu

CoRR, 2023

2021

Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy.

Hongyang Jiang, Mengdi Gao, Kang Yang, Dongdong Zhang, He Ma, Wei Qian

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification.

Hongyang Jiang, Kang Yang, Mengdi Gao, Dongdong Zhang, He Ma, Wei Qian

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation.

Mengdi Gao, Hongyang Jiang, Dongdong Zhang, He Ma, Wei Qian

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network.

Hongyang Jiang, He Ma, Wei Qian, Mengdi Gao, Yan Li

IEEE J. Biomed. Health Informatics, 2018

Lung nodule classification using local kernel regression models with out-of-sample extension.

Guohui Wei, He Ma, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu

Biomed. Signal Process. Control., 2018

2017

An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images.

Jikui Liu, Hongyang Jiang, Mengdi Gao, Chen-Guang He, Yu Wang, Pu Wang, He Ma, Ye Li

J. Medical Syst., 2017

Content-based retrieval for lung nodule diagnosis using learned distance metric.

Guohui Wei, He Ma, Wei Qian, Hongyang Jiang, Xinzhuo Zhao

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images.

Hongyang Jiang, He Ma, Wei Qian, Guohui Wei, Xinzhuo Zhao, Mengdi Gao

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

A Novel Indicator for Cuff-Less Blood Pressure Estimation Based on Photoplethysmography.

Hongyang Jiang, Fen Miao, Mengdi Gao, Xi Hong, Qingyun He, He Ma, Ye Li

Proceedings of the Health Information Science - 5th International Conference, 2016