隆晓菁，博士，副研究员。2007年获浙江大学信息与通信工程专业硕士学位。2010年获美国弗吉尼亚理工大学电气与计算机工程系博士学位。研究领域为神经影像在脑疾病诊疗中的应用，包括脑疾病影像标记物研究、智能诊断算法研究、影像引导神经调控研究。主持多项科研项目包括国家自然科学基金青年项目、深圳市科创委基础研究计划等。发表SCI/EI论文18篇，其中第一作者和通讯作者9篇。发表会议论文20余篇。以第一发明人申请专利5项，授权2项。

神经影像脑疾病诊疗应用

1. Xiaona Huang, Yang Liu, Yuhan Li, Keying Qi, Ang Gao, Bowen Zheng, Dong Liang and Xiaojing Long*. Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs. Sensors. 2023; 23(2), 655.

2. Tingting Zhang, Bingqi Guo, Zhentao Zuo, Xiaojing Long, Shimin Hu, Siran Li, Xin Su, Yuping Wang, Chunyan Liu*. Excitatory-inhibitory modulation of transcranial focus ultrasound stimulation on human motor cortex. CNS Neuroscience & Therapeutics. 2023: doi: 10.1111/cns.14303.

3. Bowen Zheng, Ang Gao, Xiaona Huang, Yuhan Li, Dong Liang, Xiaojing Long*. A modified 3D EfficientNet for the classification of Alzheimer's disease using structural magnetic resonance images. IET Image Processing. 2023; 17(1): 77-87.

4. Jie Zhang, Bowen Zheng, Ang Gao, Xin Feng, Dong Liang, Xiaojing Long*. A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification. Magnetic Resonance Imaging. 2021; Volume 78, Pages 119-126.

5. Yarui Wei, Ling Mei, Xiaojing Long*, Xiaoxiao Wang, Yanjun Diao, Benedictor A. Nguchu, Sheng Hu, Yanming Wang, Haibo Yu, and Bensheng Qiu*. Functional MRI Investigation of Ultrasound Stimulation at ST 36. Evidence-Based Complementary and Alternative Medicine. 2020; Volume 2020, Article ID 6794013.