代表性论文: 1. Xu H, Xie W, Pang M, Li Y, Jin L, Huang F* and Shao X (2025) Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning. Front. Aging Neurosci.17:1586273.doi: 10.3389/fnagi.2025.1586273 (SCI) 2. Fangliang Huang, Vladimir Y. Mariano, Application of MRI Radiomics Combined with Deep Learning Technology in Glioma Segmentation and Survival Prognosis, Journal of Artificial Intelligence and Technology (2025), DOI: https://doi.org/10.37965/jait.2025.0681 (Scopus) 3. Xu H, Shao X, Fang D and Huang F* (2024) A hybrid neural network approach for classifying diabetic retinopathy subtypes. Front. Med. 10:1293019. doi: 10.3389/fmed.2023.1293019 (SCI) 4. Xu, H., Huang, F*., & Shen, T. (2023). Practice of computer basic curriculum reform in medical colleges with the core of cultivating computational thinking and health education. MEDICINE (Vol. 102, No. 30, pp. 4-4). (SCI) 5. Fangliang Huang; Huanqing Xu; Tongping Shen; Li Jin ; Recognition of Parkinson's Disease Based on Residual Neural Network and Voice Diagnosis, 2021 IEEE 5th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC 2021) (EI) 专著/教材: 1. 梁宝华,叶洁,黄方亮 ; 新兴技术领域——云计算与数据挖掘研究, 吉林大学出版社, 2018 专利/软著: 1. 沈同平;黄方亮;王元茂;高洁;张璐瑶;一种中药协同开发过程中隐性知识显性化的方法,ZL201810581630.0 (发明专利) 2. 黄方亮;非处方药智能咨询推荐系统V1.0,2019SR0865102,(软件著作权) 3. 黄方亮;助学金在线评议管理系统V1.0,2019SR0680519,(软件著作权) 4. 黄方亮;通用问卷调查综合管理系统V1.0,2019SR0680058,(软件著作权) |