生物医药

医学影像人工智能研究、医疗基础大模型

1.Gao M, Jiang H, et al. Discriminative Ensemble Meta-Learning with Co-Regularization for Rare Fundus Diseases Diagnosis. Medical Image Analysis, 2023.（第一作者, 中科院1区, Q1）
2. Gao M, Feng X, et al. Bayesian Statistics Guided Label Refurbishment Mechanism: Mitigating Label Noise in Medical Image Classification. Medical Physics, 2022.（第一作者, Q2）
3. Gao M, Yu Y, et al. Simulation Study of an Ultrasound Retinal Prosthesis with a Novel Contact-Lens Array for Noninvasive Retinal Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017.（第一作者, Q1）
4. Gao M, Jiang H, et al. Suppressing label noise in medical image classification using mixup attention and self-supervised learning. Physics in Medicine & Biology, 2024.（第一作者, Q2）
5. [Jiang H#, Gao M#], et al. XFM: An explainable knowledge-fused vision foundation model for improving clinical diagnosis of low-prevalence retinal diseases. IEEE Journal of Biomedical and Health Informatics, 2025.（共同第一作者, 中科院1区, Q1）
6. [Jiang H#, Gao M#], et al. GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy. IEEE Journal of Biomedical and Health Informatics, 2024.（共同第一作者, 中科院1区, Q1）
7. [Jiang H#, Gao M#], et al. DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection. Expert Systems With Applications, 2023.（共同第一作者, 中科院1区, Q1)
8. Jiang H, Gao M, et al. Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification. IEEE Journal of Biomedical and Health Informatics, 2022.（第二作者）
9. Li H, Gao M, Song H, et al. Predicting ischemic stroke risk from atrial fibrillation based on multi-spectral fundus images using deep learning. Frontiers in Cardiovascular Medicine, 2023.（第二作者, Q2）
10.Feng X, Jin Z, Zhou Z, Gao M, et al. Retinal Oxygen Kinetics Imaging and Analysis (ROKIA) based on the Integration and Fusion of Structural-Functional Imaging. Biomedical Optics Express, 2022.（共同作者, Q2）
11.Geng M, Meng X, Zhu L, Jiang Z, Gao M, et al. Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography. IEEE Transactions on Medical Imaging, 2022.（共同作者, Q1）
12.Jiang H, Hou Y, Miao H, Ye H, Gao M, et al. Eye tracking based deep learning analysis for the early detection of diabetic retinopathy: A pilot study. Biomedical Signal Processing and Control, 2023.（共同作者, Q2）
13.Jiang Z, Huang Z, You Y, Geng M, Meng X, Qiu B, Zhu L, Gao M, et al. Rethinking the Neighborhood Information for Deep Learning-Based Optical Coherence Tomography Angiography. Medical Physics, 2022.（共同作者, Q2）
14.Jiang H, Ma H, Qian W, Gao M, et al. An Automatic Detection System of Lung Nodule based on Multigroup Patch-Based Deep Learning Network. IEEE Journal of Biomedical and Health Informatics, 2017.（共同作者, Q1）
15.Liu J, Jiang H, Gao M, et al. An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images. Journal of Medical Systems, 2017.（共同作者, Q1）

1.高孟娣、姜泓羊等，眼底图像拼接方法及系统，CN109658393B.
2.姜泓羊、高孟娣等，眼底图像区域化深度学习方法、装置和设备及存储介质，CN110335254A.
3.Jiang Hongyang, Gao Mengdi, Yang Kang, Dai Liming, Zhang Dongdong, Fundus image regionalization deep learning method, device, equipment, and storage medium, 荷兰专利，专利号: 2030064 B1.

1.北京市博士后项目:基于基础模型的真实世界多共发眼底疾病智能检测研究，主持。
2.北工大高端外国专家引进计划资助项目:基于临床多模态数据融合的高危妊娠相关疾病风险预测研究，主持。
3.香港研究资助局RGC Postdoctoral Fellowship资助项目: Medical Prior Knowledge-guided Ophthalmic Foundation Model Through Alignment and Fusion of Multi-modality,Enabling Data &Label-efficient Ocular Diseases Recognition in Real-world，主持。
4.新进教师资助计划项目(理工类)：面向多源眼底影像场景自适应的多共发疾病辅助诊断，主持。
5.北京工业大学化学与生命科学学院“体医工”融合专项资助项目：基于多模态基础模型的孕妇运动风险评估与个性化处方生成，主持。
6.中国博士后科学基金面上资助项目：基于眼动医学知识驱动的人在环路计算机辅助诊断系统，2023.07-2025.06，参与，已结题。
7.香港政府Innovation and Technology Support Programme (ITSP)资助项目：Ultrahigh-resolution and Ultrafast 3D Quantitative Pulmonary Imaging Platform (项目号：ITS-240-21)，2022.8-2024.1，参与，已结题。

技术咨询