孙亮，于2020年获得南京航空航天大学计算机科学与技术博士学位，博士研究生期间在美国北卡罗来纳大学教堂山分校进行为期一年的联合博士培养。目前，已在相关研究领域发表学术论文多篇，包括IEEE Transactions on Image Processing、IEEE Transactions on Medical Imaging、IEEE Journal of Biomedical and Health Informatics、NeuroImage等。博士论文“基于多图谱的脑MR图像分割研究”获江苏省优秀博士学位论文奖。作为项目负责人的“基于人工智能技术实现阿尔茨海默病个性化风险预测、早期识别和预防性干预”项目获第一届全国博士后创新创业大赛银奖，并获“创新创业优秀博士后”称号。

部分代表性成果：

1.Sun, Liang; Shao, Wei; Zhu, Qi; Wang, Meiling; Li, Gang; Zhang, Daoqiang ; Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction, Pattern Recognition, 2023, 133: 109029-109029. (中科院一区)

2.Zhu, Wenyong; Sun, Liang; Huang, Jiashuang; Han, Liangxiu;  Zhang, Daoqiang; Dual attention multi-instance deep learning for Alzheimer’s disease diagnosis with structural MRI. IEEE Transactions on Medical Imaging, 2021, 40(9): 2354-2366.(中科院一区，共同一作)

3.Sun, Liang; Mo, Zhanhao; Yan, Fuhua; Xia, Liming; Shan, Fei; Ding, Zhongxiang; Song, Bin; Gao, Wanchun; Shao, Wei; Shi, Feng; Yuan, Huan; Jiang, Huiting; Wu, Dijia; Wei, Ying; Gao, Yaozong; Sui, He; Zhang, Daoqiang; Shen, Dinggang; Adaptive feature selection guided deep forest for covid-19 classification with chest CT. IEEE Journal of Biomedical and Health Informatics, 2020, 24(10): 2798-2805.(中科院一区)

4.Sun, Liang; Shao, Wei; Zhang, Daoqiang; Liu, Mingxia; Anatomical attention guided deep networks for ROI segmentation of brain MR images. IEEE Transactions on Medical Imaging, 39(6): 2000-2012.(中科院一区)

5.Sun, Liang; Shao, Wei; Wang, Mingliang; Zhang, Daoqiang; Liu, Mingxia ; High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI, IEEE Transactions on Image Processing, 2020, 29: 2702-2713. (中科院一区)

6.Sun, Liang; Zhang, Daoqiang; Lian, Chunfeng; Wang, Li; Wu, Zhengwang; Shao, Wei; Lin, Weili; Shen, Dinggang; Li, Gang ; Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network, NeuroImage, 2019, 198: 114-124. (中科院一区)

7.Sun, Liang; Zu, Chen; Shao, Wei; Guang, Junye; Zhang, Daoqiang; Mingxia Liu; Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artificial Intelligence in Medicine, 2019, 96: 12-24. (中科院一区)

更多信息查看：https://scholar.google.com/citations?user=o5o0q98AAAAJ&hl=zh-CN

主持科研项目：

国家自然科学基金面上项目，2024-2027

国家自然科学基金青年项目，2020-2023

中国博士后科学基金第14批特别资助（站中）

中国博士后科学基金第70批面上资助

江苏省博士后科研资助计划