Hongyang Jiang
Orcid: 0000-0003-0287-8581Affiliations:
- Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
- Beijing Zhizhen Internet Technology Co., Ltd, China
According to our database1,
Hongyang Jiang
authored at least 18 papers
between 2016 and 2024.
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Bibliography
2024
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-Scale Generation and Registration Enhancement.
IEEE J. Biomed. Health Informatics, August, 2024
DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection.
Expert Syst. Appl., 2024
2023
Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis.
Medical Image Anal., October, 2023
Eye tracking based deep learning analysis for the early detection of diabetic retinopathy: A pilot study.
Biomed. Signal Process. Control., July, 2023
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.
CoRR, 2023
Label-noise-tolerant medical image classification via self-attention and self-supervised learning.
CoRR, 2023
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection.
CoRR, 2023
2021
Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy.
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.
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.
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.
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.
IEEE J. Biomed. Health Informatics, 2018
Lung nodule classification using local kernel regression models with out-of-sample extension.
Biomed. Signal Process. Control., 2018
2017
An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images.
J. Medical Syst., 2017
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.
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.
Proceedings of the Health Information Science - 5th International Conference, 2016