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ORCIDMengdi Gao
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Publications
- 2025
[j12]Hongyang Jiang
, Mengdi Gao, Zirong Liu, Chen Tang, Xiaoqing Zhang, Shuai Jiang, Wu Yuan, Jiang Liu:
GlanceSeg: Real-Time Microaneurysm Lesion Segmentation With Gaze-Map-Guided Foundation Model for Early Detection of Diabetic Retinopathy. IEEE J. Biomed. Health Informatics 29(12): 8940-8953 (2025)- 2024
- [j11]Hongyang Jiang, Mengdi Gao, Jingqi Huang, Chen Tang, Xiaoqing Zhang, Jiang Liu:
DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection. Expert Syst. Appl. 243: 122889 (2024) - 2023
- [j10]Hongyang Jiang, Yilin Hou, Hanpei Miao, Haili Ye, Mengdi Gao, Xiaoling Li, Richu Jin, Jiang Liu:
Eye tracking based deep learning analysis for the early detection of diabetic retinopathy: A pilot study. Biomed. Signal Process. Control. 84: 104830 (2023) - [j9]Mengdi Gao, Hongyang Jiang, Lei Zhu, Zhe Jiang, Mufeng Geng, Qiushi Ren, Yanye Lu:
Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis. Medical Image Anal. 89: 102884 (2023) - [j8]Hongyang Jiang, Mengdi Gao, Heng Li, Richu Jin, Hanpei Miao, Jiang Liu:
Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification. IEEE J. Biomed. Health Informatics 27(1): 17-28 (2023) - [i4]Hongyang Jiang, Jingqi Huang, Chen Tang, Xiaoqing Zhang, Mengdi Gao, Jiang Liu:
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection. CoRR abs/2304.12719 (2023) - [i3]Hongyang Jiang, Mengdi Gao, Yan Hu, Qiushi Ren, Zhaoheng Xie, Jiang Liu:
Label-noise-tolerant medical image classification via self-attention and self-supervised learning. CoRR abs/2306.09718 (2023) - [i2]Hongyang Jiang, Mengdi Gao, Zirong Liu, Chen Tang, Xiaoqing Zhang, Shuai Jiang, Wu Yuan, Jiang Liu:
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy. CoRR abs/2311.08075 (2023) - 2021
- [c8]Hongyang Jiang, Mengdi Gao, Kang Yang, Dongdong Zhang, He Ma, Wei Qian:
Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy. EMBC 2021: 3004-3007 - 2020
- [c6]Hongyang Jiang, Jie Xu, Rongjie Shi, Kang Yang, Dongdong Zhang, Mengdi Gao, He Ma, Wei Qian:
A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. EMBC 2020: 1560-1563 - 2019
- [c4]Hongyang Jiang, Kang Yang, Mengdi Gao, Dongdong Zhang, He Ma, Wei Qian:
An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification. EMBC 2019: 2045-2048 - [c3]Mengdi Gao, Hongyang Jiang, Dongdong Zhang, He Ma, Wei Qian:
Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation. EMBC 2019: 6255-6258 - 2018
- [j2]Hongyang Jiang, He Ma, Wei Qian, Mengdi Gao, Yan Li:
An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network. IEEE J. Biomed. Health Informatics 22(4): 1227-1237 (2018) - 2017
- [j1]Jikui Liu, Hongyang Jiang, Mengdi Gao, Chen-Guang He, Yu Wang, Pu Wang, He Ma, Ye Li:
An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images. J. Medical Syst. 41(2): 30:1-30:9 (2017) - [c2]Hongyang Jiang, He Ma, Wei Qian, Guohui Wei, Xinzhuo Zhao, Mengdi Gao:
A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images. EMBC 2017: 556-559 - 2016
- [c1]Hongyang Jiang, Fen Miao, Mengdi Gao, Xi Hong, Qingyun He, He Ma, Ye Li:
A Novel Indicator for Cuff-Less Blood Pressure Estimation Based on Photoplethysmography. HIS 2016: 119-128
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