上海交通大学人工智能研究院教授、博士生导师。2006年博士毕业于新加坡南洋理工大学信息技术系；于2007-2008年在新加坡南洋理工大学从事博士后研究；2008年8月至今在上海交通大学仪器科学与工程系。并于2011-2012年在美国北卡罗来纳大学教堂山分校放射系沈定刚教授实验室访学一年，2019年6月加入人工智能研究院。
      近十多年一直从事人工智能和图像识别领域的关键技术研究，包括多模态医学影像智能计算和分析及疾病诊断、机器学习和人工智能、指纹识别、图像检索、机器视觉检测等关键技术研究。在国内外重要刊物如IEEE Trans，Neuroimage, Human Brain Mapping, PR等发表论文40余篇，其中SCI收录20余篇，EI收录30余篇。目前主要研究兴趣包括深度学习、图像特征提取、模式识别、多模态医学影像融合分析等。

 

【研究课题】
[1] 国家自然科学基金国际合作项目，《基于机器学习的多模态医学影像分析与脑疾病诊断》，NSFC2018，No. 6181101049，2018.7-2020.6，项目负责人。
[2] 国家自然科学基金面上项目，《婴幼儿指纹识别若干关键问题研究》，NSFC2017，No. 61773263，2018.1-2021.12，项目负责人。
[3] 国家重点研发计划“数字诊疗装备研发试点专项”,《高通量实时图像采集、处理与分析与算法研究和软件开发》,No. 2016YFC0100903, 2016.7-2018.12,课题负责人。
[4] 国家自然科学基金面上项目，《基于深度学习的多模态神经影像融合分析与脑疾病诊断》，NSFC2013，No. 61375112
[5] 国家自然科学基金项目，《基于压缩感知理论的现场潜指纹图像处理和识别技术研究》，NSFC2010，No.61005024。
[6] 教育部博士点基金项目，《基于图像信息融合的小面积指纹识别技术研究》，No.20090073120019。
[7] 上海交通大学医工（理）交叉基金项目，《PET与MRI图像融合技术及临床应用研究》，No. YG2010MS74。
[8] 国家留学回国基金项目，《室外场景图像分析和理解算法研究》。

 

【实验室招生】

从2015年起开始招收博士研究生和博士后，研究领域：图像处理和模式识别识别，想报考博士生的学生请用邮件或电话咨询和联系。
另外，对图像计算分析和识别有兴趣的、希望积累科研经历和发表学术论文并准备出国深造和保研的本科生和研究生，非常欢迎加入本人的研究团队，并愿意提供一些平台和资助！实验室常年招收科研助理（Research Assitant, RA）。

 

【期刊论文】
[1] Manhua Liu* and Peng Qian,"Automatic Segmentation and Enhancement of Latent Fingerprints Using Deep Nested UNets", IEEE Trans. on Information Forensics and Security, Volume 16, No.1, pp. 1709-1719, Jan. 2021

[2] Manhua Liu*，Fan Li; Hao Yan; Kundong Wang; Yixin Ma; Li Shen; Mingqing Xu，“A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease”，NeuroImage，Volume 208, March 2020, 116459.

[3] Ruoxuan Cui and Manhua Liu*, “Hippocampus Analysis by Combination of 3D DenseNet and Shapes for Alzheimer’s Disease Diagnosis”, IEEE Journal of Biomedical and Health Informatics, 2018
[4] Fan Li, and Manhua Liu*, “Alzheimer's Disease Diagnosis Based on Multiple Cluster Dense Convolutional Networks”, Computerized Medical Imaging and Graphics, Vol. 70, Dec. 2018, Pages 101-110.
[5 Manhua Liu*, Danni Cheng, and Weiwu Yan, “Classi?cation of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET images”, Frontiers in Neuroinformatics, Vol.12, Issue.35, Jun 19, 2018.
[6] Manhua Liu*, Danni Cheng, Kundong Wang, Yaping Wang*, "Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis", Neuroinformatics, 16(3), 295-308, 2018.
[7] Liu, Shuxin, Manhua Liu*, Yang, Zhongyuan, "Sparse Coding Based Orientation Estimation for Latent Fingerprints", Pattern Recognition, Vol. 67, pp.164–176, July 2017.
[8] Manhua Liu*, Xiaoying Chen, Xiaoduan Wang,"Latent Fingerprint Enhancement via Multi-scale Patch Based Sparse Representation", IEEE Trans. on Information Forensics and Security, Volume 10, No.1, pp. 6-15, Jan. 2015.
[9] Manhua Liu, Daoqiang Zhang, Dinggang Shen*, "Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis", Neuroinformatics, Volume 12, Issue 3 (2014), Page 381-394, Dec. 2013.
[10] Manhua Liu*, Shuxin Liu, Qijun Zhao, "Fingerprint Orientation Field Reconstruction by Weighted Discrete Cosine Transform", Information Sciences, Volume 268, 1 June 2014, Pages 65–77.
[11] Manhua Liu, D. Zhang, D. Shen*, "Hierarchical Fusion of Features and Classifier Decisions for Alzheimer's Disease Diagnosis", Human Brain Mapping, 35(4):1305-19 April. 2014. 
[12] Manhua Liu, D. Zhang, D. Shen and The Alzheimer's Disease Neuroimaging Initiative, “Ensemble sparse classification of Alzheimer's disease”, Neuroimage, 60(2):1106-1116, January, 2012.
[13] Manhua Liu*, Pew-Thian Yap, “Invariant Representation of Orientation Fields for Fingerprint Indexing”, Pattern Recognition, Vol. 45, Issue 7, pp. 2532-2542, July 2012.
[14] Manhua Liu*, “Fingerprint Classification Based on Adaboost Learning from Singularity Features”, Pattern Recognition, Vol. 43, No. 3, pp. 1062-1070, March 2010.
[15] Manhua Liu*, Xudong Jiang and Alex C. Kot, “A Multi-Prototype Clustering Algorithm”, Pattern Recognition, Vol. 42, No. 5, pp. 689-698, May 2009. 
[16] Manhua Liu*, Xudong Jiang and Alex C. Kot, “Efficient Fingerprint Search Based on Database Clustering”, Pattern Recognition, Vol. 40, No. 6, pp. 1793-1803, June 2007.
【会议论文】
[1] Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen, "Tree-Guided Sparse Coding for Brain Disease Classification", MICCAI 2012, Nice, France, Oct. 1-5, 2012. 
[2] Manhua Liu, Daoqiang Zhang, Dinggang Shen, “Hierarchical Tree-Guided Brain Disease Classification”, accepted to 2012 OHBM Annual Meeting in June 10-14, 2012, Beijing, China. 
[3] M. Liu, “Fingerprint Classification Based on Singularities”, accepted to 2009 Chinese Conference on Pattern Recognition and CJK Joint Workshop on Pattern Recognition, Nanjing, China, November 5-6, 2009. 
[4] M. Liu, J. Yao, H. Zhao and K. Yap, “Learning-based Image Ground Segmentation Using Multiple Cues”, accepted to 2009 2nd International Congress on Image and Signal Processing(CISP'09), Tianjin , China, 17-19, October 2009. 
[5] X.Tang, M. Liu, H. Zhao and W. Tao, “Leaf Extraction from Complicated Background”, accepted to 2009 2nd International Congress on Image and Signal Processing(CISP'09), Tianjin , China, 17-19, October 2009. 
[6] M. Liu, X. Jiang and A. C. Kot, “Database Clustering Based on Multi-prototype Representation of Cluster”, 2007 International Conference on Multimedia & Expo (ICME'07), July 2 - 5, 2007, Beijing, China. 
[7] M. Liu, X. Jiang and A. C. Kot, “Fingerprint Retrieval by Complex Filter Responses”, the 18th International Conference on Pattern Recognition (ICPR 2006), August 20 - 24, 2006, Hong Kong, China, pp. 1042-1045.