Key technologies in artificial intelligence and image recognition, including multimodal medical image computing and analysis, brain image computing and analysis, machine vision and so on.

Sept. 2002 – Dec. 2006,
Doctorate of Philosophy, Major in image processing and pattern recognition, research areas include fingerprint image processing and recognition.
School of Electrical and Electronic Engineering (EEE), Nanyang Technological University, Singapore. Supervisor: Prof. Alex Kot

Aug. 2008 – Present, Assistant ->Associate Professor->Full Professor.
Shanghai Jiao Tong University, China,
Dong Chuan Rd #800, Shanghai, 200240, China.

April. 2011 – April. 2012, Visiting Scholar
The University of North Carolina at Chapel Hill,
130 Mason Farm Road, Chapel Hill NC 27599, United States.

May. 2007 – Jul. 2008, Post-doc Research fellow,
Nanyang Technological University, Singapore,
50 Nanyang Avenue, Singapore

Currently, She has got some research funding projects as principle investigator on fingerprint recognition, image understanding and medical image analysis. The selected research funding projects are:
[1] "Recognition of fingerprint image of small size based on image information fusion", Doctoral Fund of Ministry of Education of China, 01/2010 - 12/2011
[2] “Latent fingerprint image processing and recognition”, NSFC fund, 01/2011 – 12/2013
[3] “Fusion of MRI and PET medical images”, SJTU Integration of Medical and Engineering fund, 07/2010 – 06/2012

SJTU Chen Xin Young Scholar 2009

《Image-based Measurement: Principle and Applications》
《Embedded Computer System: Principle and Applications》

[1]Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu*, "Multimodal Transformer Network for Incomplete Image Generation and Diagnosis of Alzheimer’s Disease", Computerized Medical Imaging and Graphics, Volume 110, December 2023, 102303, https://authors.elsevier.com/sd/article/S0895-6111(23)00121-0, 2023
[2]Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu*, " Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease ", IEEE Journal of Biomedical and Health Informatics, Volume: 27, Issue: 10, October 2023 2168-2208，Page(s):4961- 4970
[3]Bole Ma, Hao Yan, Manhua Liu*, “Imaging process matched neural network for complex wavefront retrieval with higher space-bandwidth product", Optics Letters, 2023, 48(20): 5399-5402.
[4]Hsienchih Ting, Manhua Liu*, “Multimodal Transformer of Incomplete MRI Data for Brain Tumor Segmentation", IEEE Journal of Biomedical and Health Informatics (J-BHI), vol. X, issue X, July 2023
[5]Xingyu Gao, Hongjie Cai, Manhua Liu*, “A Hybrid Multi-scale Attention Convolution and Aging Transformer Network for Alzheimer's Disease Diagnosis", IEEE Journal of Biomedical and Health Informatics (J-BHI), vol. 27, issue 7, pp:3292-3301, July 2023, DOI: 10.1109/JBHI.2023.3270937
[6]Zhaobin Wang, Xiaocheng Zhou, Yuanyuan Gui, Manhua Liu*, and Hui Lu, "Multiple measurement analysis of resting-state fMRI for ADHD classification in adolescent brain from the ABCD study", Translational Psychiatry, 13, 45 (2023) 10.1038/s41398-023-02309-5
[7]Hongjie Cai, Yue Gao, Manhua Liu*,"Graph Transformer Geometric Learning of Brain Network Using Multimodal MR Images for Brain Age Estimation," IEEE Transactions on Medical Imaging, Digital Object Identifier: 10.1109/TMI.2022.3222093. (IF:11.037)
[8]Yuanyuan Gui, Xiaocheng Zhou, Zixin Wang, Yiliang Zhang, Zhaobin Wang,Geyu Zhou, Yize Zhao, Manhua Liu, Hui Lu, and Hongyu Zhao, "Sex--specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults", Translational Psychiatry, 2022; 12: 347
[9]Hongjie Cai, Aojie Li, Guangjun Yu, Xiujun Yang*, Manhua Liu*, “Brain Age Prediction in Developing Childhood with Multimodal Magnetic Resonance Images" Neuroinformatics, August 12 2022，PMID: 35962180 DOI: 10.1007/s12021-022-09596-1
[10]Yelin Shi; Zhao Zhang; Shuxin Liu; Manhua Liu*, "Towards More Accurate Matching of Contactless Fingerprints with A Deep Geometric Graph Convolutional Network,", IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 5, no. 1, pp. 29-38, Jan. 2023, doi: 10.1109/TBIOM.2022.3219842.
[11]Aojie Li, Ling Yue, Shifu Xiao, Manhua Liu*, "Cognitive Function Assessment and Prediction for Subjective Cognitive Decline and Mild Cognitive Impairment", Brain Imaging and Behavior, 2021.8
[12]Xiaocheng Zhou, Qingmin Lin, Yuanyuan Gui, Manhua Liu*, Hui Lu, "Multimodal MR images-based diagnosis of early adolescent attention-deficit/hyperactivity disorder using multiple kernel learning", Frontiers in Neuroscience, 2021.8
[13]Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu*, "Task-induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer’s disease", IEEE Journal of Biomedical and Health Informatics (J-BHI), Volume: 26, Issue: 1, Jan. 2022, 2021.7, 10.1109/JBHI.2021.3097721
[14]Zhao, Zhang, Manhua Liu*, "A Multi-task Fully Deep Convolutional Neural Network for Contactless Fingerprint Minutiae Extraction", Pattern Recognition, 2021.7
[15]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
[16]Xiujun Yang#, Aojie Li #, Lihong Li 1,Tingting Li1, Pin Li*,Manhua Liu*，"Multimodal Image Analysis of Sexual Dimorphism in Developing Childhood Brain", Brain Topography, 34, 257–268 (2021).
[17]Aojie Li, Fan Li, FARZANEH ELAHIFASAEE, Lichi Zhang and Manhua Liu*,"Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis", Brain Imaging and Behavior, 15(5), 2330- 2339, Jan. 2021, 10.1007/s11682-020-00427-y, https://pubmed.ncbi.nlm.nih.gov/33398778/
[18]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, https://pubmed.ncbi.nlm.nih.gov/31837471/
[19]Fan Li, and Manhua Liu*, “A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease”, Journal of Neuroscience Methods, Volume 323, 15 July 2019, Pages 108-118, 2019
[20]Huixiang Zhuang, Ruihao Liu, Chaowei Wu, Ziyu Meng, Danni Wang, Dengtang Liu, Manhua Liu* and Yao Li: “Multimodal Classification Of Drug-Naïve First-Episode Schizophrenia Combining Anatomical, Diffusion And Resting State Functional Resonance Imaging”, Neuroscience Letters. Vol.705：87-93. 2019, 13 July 2019
[21]Ruoxuan Cui and Manhua Liu*, “RNN-based Longitudinal Analysis for Diagnosis of Alzheimer’s Disease”, Computerized Medical Imaging and Graphics, Vol. 73, April 2019, Pages 1-10, https://pubmed.ncbi.nlm.nih.gov/30763637/
[22]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, Volume: 23 , Issue: 5, Page(s): 2099 – 2107, Sept. 2019
[23]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.
[24]Manhua Liu*, Danni Cheng, and Weiwu Yan, “Classification 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.
[25]Y. Tang, X. Zhang, Manhua Liu, Y. Li, et al. “Elevated Hippocampal Choline Level Is Associated with Altered Functional Connectivity in Females with Major Depressive Disorder: A Pilot Study”, Psychiatry Research: Neuroimaging, Vol. 278, pp. 48-55, AUG 30 2018
[26]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, DOI:10.1007/s12021-018-9370-4, https://pubmed.ncbi.nlm.nih.gov/29572601/
[27]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
[28]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
Manhua Liu, D. Zhang, D. Shen, “Ensemble sparse classification of Alzheimer's disease”, Neuroimage, 60(2):1106-1116, January, 2012. https://pubmed.ncbi.nlm.nih.gov/22270352/