彭博，博士，中国科学技术大学硕士研究生导师，江苏省“双创团队”核心成员。本科毕业于长春理工大学生物医学工程专业；随后经推免进入中国科学院大学光学工程专业学习，获工学博士学位。2017年7月，进入中国科学院苏州生物医学工程技术研究所医学影像技术研究室工作，历任任助理研究员、副研究员。主要从事医学影像分析、神经影像分析、早期大脑发育和神经退行性疾病辅助诊断等方面的研究工作。承担江苏省重点研发计划、江苏省自然科学基金、江苏省博士后基金（A类）、山东省青年基金和企业横向课题，累计承担项目经费超500万元。发表学术论文20余篇（SCI论文12篇），申请发明专利和软件著作权20余项。担任Frontiers in Neurology、ISBI、IEEE EMBS等国际期刊和会议的审稿人。
苏州市人工智能科学技术一等奖（2021）
江苏省科学技术三等奖（2020）
北京市普通高等学校优秀毕业生（2017）
博士研究生国家奖学金（2015）
中国科学院优秀共青团员（2015）
(1) 多模态神经影像处理算法研究：研究多模态神经影像（结构、功能和弥散磁共振和脑电等）分割、配准和皮层重建等算法。
(2) 人工智能模型构建： 利用机器学习、深度学习方法实现脑疾病智能辅助分析。
学术论文：
1. Chunying Pang, Yu Zhang, Zeyu Xue, Jian Bao, Bing Keong Li, Yan Liu, Yuqi Liu, Mao Sheng, Bo Peng*, Yakang Dai*. Improving model robustness via enhanced feature representation and sample distribution based on cascaded classifiers for computer-aided diagnosis of brain disease. Biomedical Signal Processing and Control. 2022.
2. Zhenjia Gong, Bo Peng, Ao Shen, Yan Gong, Jingzhong Zhang, Song Lang, Yanwei Zhang, Linyu Xu, Hanqing Zheng, Chunying Pang*, Yakang Dai*. Attention-Based Densely Connected Convolutional Network for Chromosome Classification. ICCAI, 2022.
3. Yu Zhang, Bo Peng, Zeyu Xue, Jian Bao, Bing Keong Li, Yan Liu, Yuqi Liu, Mao Sheng, Chunying Pang*, Yakang Dai*. Self-Paced Learning and Privileged Information based Cascaded Multi-column Classification algorithm for ASD diagnosis. IEEE EMBS, 2021.
4. Bo Peng, Zhenjia Gong, Yu Zhang, Bo Shen, Chunying Pang, Li Zhang*, Yakang Dai*. Self-paced learning and privileged information based KRR classification algorithm for diagnosis of Parkinson’s disease. Neuroscience Letters, 2021.
5. Bo Peng, Xinying Yu, Xinwei Ma, Zeyu Xue, Jingyu Wang, Zenglin Cai, Chunying Pang, Jianbing Zhu*, Yakang Dai*. Improving MRI-based analysis of brain structural changes in patients with hypertension via a privileged information learning algorithm. Methods, 2021.
6. Bo Peng, Baohua Hu, Mao Sheng, Yuqi Liu, Zhongchang Miao, Zijun Dong, Jian Bao, SiSeung Kim, BingKeong Li, Yakang Dai. Automatic Quantitative Analysis of Low-field Infant Brain MR Images. ISMRM, 2021.
7. Bo Peng, Gaofeng Pang, Aditya Saxena, Yan Liu, Baohua Hu, Suhong Wang*, Yakang Dai*. Analyzing brain structural differences among undergraduates with different grades of self？esteem using multiple anatomical brain network. BioMedical Engineering OnLine, 2020.
8. Bo Peng, Xinying Yu, Xinwei M, Jianbing Zhu, *, Yakang Dai*. Self-paced learning based multi-kernel KRR for brain structure analysis in patients with different blood pressure levels. IEEE CISP-BMEI, 2020.
9. Bo Peng, Aditya Saxena, Suhong Wang*, Yakang Dai*. Enhancing the Representation of Multiple Anatomical Network for Young Adults with Self-Esteem Difference. IEEE CISP-BMEI, 2019
10. Xinying Yu, Bo Peng, Zeyu Xue, Hamidreza Saligheh Rad, Zhenlin Cai, Jun Shi, Jianbing Zhu*, Yakang Dai*.Analyzing brain structural differences associated with categories of blood pressure in adults using empirical kernel mapping？based kernel ELM+. BioMedical Engineering OnLine, 2019.
11. Xinying Yu, Bo Peng, Jun Shi*, Jianbin Zhu, Yakang Dai*. 3D Convolutional Networks Based Automatic Diagnosis of Alzheimer's Disease Using Structural MRI. IEEE CISP-BMEI, 2019
12. 陈璐, 施俊, 彭博, 戴亚康. 基于栈式深度多项式网络集成学习框架的帕金森病计算机辅助诊断. 生物医学工程学杂志, 2018.
13. Qing Zhang, PingpingWang, Yan Liu, Bo Peng, Yufu Zhou, Zhiyong Zhou, Baotong Tong, Bensheng Qiu, Yishan Zheng, Yakang Dai*. A real-time wireless wearable electroencephalography system based on Support Vector Machine for encephalopathy daily monitoring. International Journal of Distributed Sensor Networks, 2018
14. Jun Shi, Zeyu Xue, Yakang Dai, Bo Peng, Yun Dong, Qi Zhang, Yingchun Zhang*. Cascaded Multi-Column RVFL+ Classifier for Single-Modal Neuroimaging-Based Diagnosis of Parkinson's Disease. IEEE Transactions on Biomedical Engineering, 2018.
15. Weidao Chen, Bo Peng, Yi Sun, Gang Chen, Anna Wang Roe, Yakang Dai, Xiaotong Zhang*. Subject-specific 3D Modeling of Macaque Brain via Automatic Tissue Registration Based on in vivo MR Images Acquired at 7T. 2017 ISMRM.
16. Bo Peng, Suhong Wang, Zhiyong Zhou, Yan Liu, Baotong Tong, Tao Zhang, Yakang Dai*. A multilevel-ROI-features-based machine learning method for detection of morphometric biomarkers in Parkinson’s disease. Neuroscience Letters, 2017.
17. Bo Peng, Jieru Lu, Aditya Saxena, Zhiyong Zhou, Tao Zhang, Suhong Wang*, Yakang Dai*. Examining brain morphometry associated with self-esteem in young adults using multilevel-ROI-features-based classification method. Frontiers in Computational Neuroscience, 2017.
18. Jieru Lu, Bo Peng, Aditya Saxena, Zhiyong Zhou, Zhe Zhou, Tao Zhang, Baotong Tong, Suhong Wang*, Yakang Dai*. Examining population differences in cerebral morphometry between Chinese and Indian undergraduate students. Neuroscience Letters, 2017.
19. Bo Peng, Zhiyong Zhou, Chen Geng, Baotong Tong, Zhe Zhou, Tao Zhang, Yakang Dai*. Computer aided analysis of cognitive disorder in patients with Parkinsonism using machine learning method with multilevel ROI-based features. Image and Signal Processing, 2016 IEEE CISP-BMEI.
20. Bo Peng, Zhiye Chen, Lin Ma, Yakang Dai*. Cerebral alterations of type 2 diabetes mellitus on MRI: a pilot study. Neuroscience Letters, 2015, 606(8): 100-105.
21. Bo Peng, Gang Li, Zhiye Chen, Bin Lv, Dinggang Shen*, Lin Ma*, Yakang Dai*. Detection and Analysis of T2DM Biomarkers from Brain MR Images Using BrainLab. IEEE BMEI, 2014.
相关专利：
1. 戴亚康，刘燕，彭博. 神经电生理问题建模方法、装置及电子设备. 发明专利：202210116846.6
2. 戴亚康，刘燕，汤继宏，黄静，彭博. 一种动态脑功能网络的生成方法、系统及设备. 发明专利：20211079351.4
3. 戴亚康，刘燕，彭博，胡宝华，刘刚，王悦. 快速自动去除肌电伪迹的方法、系统、存储介质及计算机设备. 发明专利：202011164260.4
4. 戴亚康，彭博，刘燕，耿辰. 一体化眼脑部视觉功能成像系统. 发明专利：201910471543.4
5. 戴亚康，彭博，刘燕，耿辰.一体化眼脑部视觉功能成像系统. 实用新型专利：201920818252.3
6. 彭博，戴亚康，史文博，周志勇，佟宝同. 基于脑磁共振图像的多维特征分类算法. 发明专利：201610886193.4
7. 戴亚康，刘燕，彭博，周志勇，胡冀苏，钱旭升. 一种基于脑影像融合特征的癫痫灶定位方法. 发明专利：201910244902.2
软件著作权：
1. 戴亚康，刘燕，彭博. 神经电生理信号伪迹去除软件. 软件著作权：2022SR010004
2. 戴亚康，刘燕，彭博. 基于头皮脑电的癫痫灶定位软件. 软件著作权：2021SR1398234
3. 戴亚康，刘燕，彭博. 婴儿脑电正问题计算软件. 软件著作权：2021SR0063376
4. 戴亚康，彭博，刘燕. 康成睿脑神经影像处理软件. 软件著作权：2021SR0952400
5. 戴亚康，彭博，胡保华. 视觉神经功能成像软件系统. 软件著作权：2020SR0261461
6. 戴亚康，彭博，耿辰. 视觉神经功能眼部成像平台软件系统. 软件著作权：2019SR0536697
彭博 副研究员
研究方向：
电子邮件：pengbo@sibet.ac.cn
电 话：0086-0512-69588101
通讯地址：苏州市高新区科技城科灵路88号