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Manhua Liu
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2020 – today
- 2024
- [j36]Haiyan Zhao, Hongjie Cai, Manhua Liu:
Transformer based multi-modal MRI fusion for prediction of post-menstrual age and neonatal brain development analysis. Medical Image Anal. 94: 103140 (2024) - [j35]Hongrui Liu, Haochen Xu, Jinheng Qiu, Shizhe Wu, Manhua Liu:
Hierarchical global and local transformer for pain estimation with facial expression videos. Pattern Anal. Appl. 27(3): 85 (2024) - [j34]Hongrui Liu, Yuanyuan Gui, Hui Lu, Manhua Liu:
A sparse transformer generation network for brain imaging genetic association. Pattern Recognit. 156: 110845 (2024) - [j33]Hsienchih Ting, Manhua Liu:
Multimodal Transformer of Incomplete MRI Data for Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 28(1): 89-99 (2024) - 2023
- [j32]Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease. Comput. Medical Imaging Graph. 110: 102303 (2023) - [j31]Hongjie Cai, Aojie Li, Guangjun Yu, Xiujun Yang, Manhua Liu:
Brain Age Prediction in Developing Childhood with Multimodal Magnetic Resonance Images. Neuroinformatics 21(1): 5-19 (2023) - [j30]Jiani Zhu, Youwei Ma, Guoqing Ding, Manhua Liu, Xin Chen:
Extraction of the Microstructure of Wool Fabrics Based on Structure Tensor. Sensors 23(15): 6813 (2023) - [j29]Yelin Shi, Zhao Zhang, Shuxin Liu, Manhua Liu:
Towards More Accurate Matching of Contactless Fingerprints With a Deep Geometric Graph Convolutional Network. IEEE Trans. Biom. Behav. Identity Sci. 5(1): 29-38 (2023) - [j28]Xingyu Gao, Hongjie Cai, Manhua Liu:
A Hybrid Multi-Scale Attention Convolution and Aging Transformer Network for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics 27(7): 3292-3301 (2023) - [j27]Xingyu Gao, Hongrui Liu, Feng Shi, Dinggang Shen, Manhua Liu:
Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. IEEE J. Biomed. Health Informatics 27(10): 4961-4970 (2023) - [j26]Hongjie Cai, Yue Gao, Manhua Liu:
Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation. IEEE Trans. Medical Imaging 42(2): 456-466 (2023) - [c29]Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu:
Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases. PRIME@MICCAI 2023: 25-34 - [c28]Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 205-213 - [i1]Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR abs/2307.01389 (2023) - 2022
- [j25]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 J. Biomed. Health Informatics 26(1): 36-43 (2022) - 2021
- [j24]Zhao Zhang, Shuxin Liu, Manhua Liu:
A multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction. Pattern Recognit. 120: 108189 (2021) - [j23]Manhua Liu, Peng Qian:
Automatic Segmentation and Enhancement of Latent Fingerprints Using Deep Nested UNets. IEEE Trans. Inf. Forensics Secur. 16: 1709-1719 (2021) - [c27]Haochen Xu, Manhua Liu:
A Deep Attention Transformer Network for Pain Estimation with Facial Expression Video. CCBR 2021: 112-119 - [c26]Yelin Shi, Manhua Liu:
A Dense Pyramid Convolution Network for Infant Fingerprint Super-Resolution and Enhancement. IJCB 2021: 1-6 - [e1]Jianjiang Feng, Junping Zhang, Manhua Liu, Yuchun Fang:
Biometric Recognition - 15th Chinese Conference, CCBR 2021, Shanghai, China, September 10-12, 2021, Proceedings. Lecture Notes in Computer Science 12878, Springer 2021, ISBN 978-3-030-86607-5 [contents] - 2020
- [j22]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 208: 116459 (2020) - [c25]Xijie Huang, Peng Qian, Manhua Liu:
Latent Fingerprint Image Enhancement Based on Progressive Generative Adversarial Network. CVPR Workshops 2020: 3481-3489
2010 – 2019
- 2019
- [j21]Ruoxuan Cui, Manhua Liu, Alzheimer's Disease Neuroimaging Initiative:
RNN-based longitudinal analysis for diagnosis of Alzheimer's disease. Comput. Medical Imaging Graph. 73: 1-10 (2019) - [j20]Ruoxuan Cui, Manhua Liu:
Hippocampus Analysis by Combination of 3-D DenseNet and Shapes for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics 23(5): 2099-2107 (2019) - [j19]Zhongke Ma, Manhua Liu, Hao Yan, Lin Lin:
Electric Field Assisted Molecular Communication for High Data Rate Transmission. IEEE Wirel. Commun. Lett. 8(6): 1571-1574 (2019) - [c24]Peng Qian, Aojie Li, Manhua Liu:
Latent Fingerprint Enhancement Based on DenseUNet. ICB 2019: 1-6 - [c23]Farzaneh Elahifasaee, Manhua Liu, Ming Yang:
Nonlinear Discriminant Analysis for MR Brain Images Classification via Kernel Function. ICIT 2019: 449-452 - [c22]Aojie Li, Ling Yue, Manhua Liu, Shifu Xiao:
Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment. PRIME@MICCAI 2019: 134-141 - 2018
- [j18]Fan Li, Manhua Liu, Alzheimer's Disease Neuroimaging Initiative:
Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks. Comput. Medical Imaging Graph. 70: 101-110 (2018) - [j17]Manhua Liu, Danni Cheng, Weiwu Yan, Alzheimer's Disease Neuroimaging Initiative:
Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images. Frontiers Neuroinformatics 12: 35 (2018) - [j16]Manhua Liu, Danni Cheng, Kundong Wang, Yaping Wang:
Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis. Neuroinformatics 16(3-4): 295-308 (2018) - [j15]Manhua Liu, Shuxin Liu, Weiwu Yan:
Latent Fingerprint Segmentation Based on Ridge Density and Orientation Consistency. Secur. Commun. Networks 2018: 4529652:1-4529652:10 (2018) - [c21]Ruoxuan Cui, Manhua Liu, Gang Li:
Longitudinal analysis for Alzheimer's disease diagnosis using RNN. ISBI 2018: 1398-1401 - 2017
- [j14]Shuxin Liu, Manhua Liu, Zongyuan Yang:
Sparse coding based orientation estimation for latent fingerprints. Pattern Recognit. 67: 164-176 (2017) - [j13]Weiwu Yan, Jialong Li, Manhua Liu, Xiaohui Bai, Huihe Shao:
Data-based multiple criteria decision-making model and visualized monitoring of urban drinking water quality. Soft Comput. 21(20): 6031-6041 (2017) - [c20]Danni Cheng, Manhua Liu:
CNNs based multi-modality classification for AD diagnosis. CISP-BMEI 2017: 1-5 - [c19]Huinan Jiang, Manhua Liu:
Fingerprint Minutiae Detection Based on Multi-scale Convolution Neural Networks. CCBR 2017: 306-313 - [c18]Danni Cheng, Manhua Liu:
Classification of Alzheimer's Disease by Cascaded Convolutional Neural Networks Using PET Images. MLMI@MICCAI 2017: 106-113 - 2016
- [j12]Shuxin Liu, Manhua Liu, Zhongyuan Yang:
An image auto-focusing algorithm for industrial image measurement. EURASIP J. Adv. Signal Process. 2016: 70 (2016) - [c17]Kaifeng Wei, Manhua Liu:
Latent Fingerprint Enhancement Based on Orientation Guided Sparse Representation. CCBR 2016: 205-213 - [c16]Ruoxuan Cui, Minyi Liu, Manhua Liu:
Facial Expression Recognition Based on Ensemble of Mulitple CNNs. CCBR 2016: 511-518 - [c15]Shuxin Liu, Manhua Liu, Zongyuan Yang:
Latent fingerprint segmentation based on linear density. ICB 2016: 1-6 - 2015
- [j11]Manhua Liu, Xiaoying Chen, Xiaoduan Wang:
Latent Fingerprint Enhancement via Multi-Scale Patch Based Sparse Representation. IEEE Trans. Inf. Forensics Secur. 10(1): 6-15 (2015) - [c14]Manhua Liu, Shuxin Liu:
Latent fingerprint orientation estimation via sparse representation. ICICS 2015: 1-4 - [c13]Kaifeng Wei, Xiaoying Chen, Manhua Liu:
Latent Fingerprint Segmentation Based on Sparse Representation. ICIC (1) 2015: 443-453 - [c12]Xiaoying Chen, Kaifeng Wei, Manhua Liu:
Group Sparse Representation for Prediction of MCI Conversion to AD. ICIC (2) 2015: 510-519 - 2014
- [j10]Manhua Liu, Shuxin Liu, Qijun Zhao:
Fingerprint orientation field reconstruction by weighted discrete cosine transform. Inf. Sci. 268: 65-77 (2014) - [j9]Manhua Liu, Daoqiang Zhang, Dinggang Shen:
Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis. Neuroinformatics 12(3): 381-394 (2014) - 2013
- [c11]Xiaoduan Wang, Manhua Liu:
Fingerprint Enhancement via Sparse Representation. CCBR 2013: 193-200 - [c10]Yaping Wang, Manhua Liu, Lei Guo, Dinggang Shen:
Kernel-based multi-task joint sparse classification for Alzheimer'S disease. ISBI 2013: 1364-1367 - [c9]Manhua Liu, Heung-Il Suk, Dinggang Shen:
Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images. MLMI 2013: 243-250 - 2012
- [j8]Manhua Liu, Daoqiang Zhang, Dinggang Shen:
Ensemble sparse classification of Alzheimer's disease. NeuroImage 60(2): 1106-1116 (2012) - [j7]Manhua Liu, Pew-Thian Yap:
Invariant representation of orientation fields for fingerprint indexing. Pattern Recognit. 45(7): 2532-2542 (2012) - [c8]Shuxin Liu, Manhua Liu:
Fingerprint orientation modeling by sparse coding. ICB 2012: 176-181 - [c7]Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen:
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease. MLMI 2012: 27-35 - [c6]Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen:
Tree-Guided Sparse Coding for Brain Disease Classification. MICCAI (3) 2012: 239-247 - [c5]Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen:
Atlas Construction via Dictionary Learning and Group Sparsity. MICCAI (1) 2012: 247-255 - 2011
- [j6]Jinfeng Yang, Wei Tao, Manhua Liu, Yongjie Zhang, Haibo Zhang, Hui Zhao:
An Efficient Direction Field-Based Method for the Detection of Fasteners on High-Speed Railways. Sensors 11(8): 7364-7381 (2011) - 2010
- [j5]Manhua Liu:
Fingerprint classification based on Adaboost learning from singularity features. Pattern Recognit. 43(3): 1062-1070 (2010)
2000 – 2009
- 2009
- [j4]Manhua Liu, Xudong Jiang, Alex C. Kot:
A multi-prototype clustering algorithm. Pattern Recognit. 42(5): 689-698 (2009) - 2007
- [j3]Manhua Liu, Xudong Jiang, Alex ChiChung Kot:
Efficient fingerprint search based on database clustering. Pattern Recognit. 40(6): 1793-1803 (2007) - [c4]Manhua Liu, Xudong Jiang, Alex C. Kot:
Database Clustering Based on Multi-Prototype Representation of Cluster. ICME 2007: 2198-2201 - 2006
- [j2]Xudong Jiang, Manhua Liu, Alex ChiChung Kot:
Fingerprint Retrieval for Identification. IEEE Trans. Inf. Forensics Secur. 1(4): 532-542 (2006) - [c3]Manhua Liu, Xudong Jiang, Alex ChiChung Kot:
Fingerprint Retrieval by Complex Filter Responses. ICPR (1) 2006: 1042 - 2005
- [j1]Manhua Liu, Xudong Jiang, Alex ChiChung Kot:
Fingerprint Reference-Point Detection. EURASIP J. Adv. Signal Process. 2005(4): 498-509 (2005) - 2004
- [c2]Manhua Liu, Xudong Jiang, Alex ChiChung Kot:
Fingerprint Reference Point Detection. ICBA 2004: 272-279 - [c1]Xudong Jiang, Manhua Liu, Alex ChiChung Kot:
Reference Point Detection for Fingerprint Recognition. ICPR (1) 2004: 540-543
Coauthor Index
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last updated on 2024-08-27 22:00 CEST by the dblp team
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