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2020 – today
- 2025
[j65]Zhonghe Tian
, Aiping Liu, Guokang Zhu, Xun Chen:
A paralleled CNN and Transformer network for PPG-based cuff-less blood pressure estimation. Biomed. Signal Process. Control. 99: 106741 (2025)- 2024
- [j64]Le Wu, Aiping Liu, Chang Li, Xun Chen:
Enhancing EEG artifact removal through neural architecture search with large kernels. Adv. Eng. Informatics 62: 102831 (2024) - [j63]Jinsha Chen, Gang Yang, Aiping Liu, Xun Chen, Ji Liu:
SFE-Net: Spatial-Frequency Enhancement Network for robust nuclei segmentation in histopathology images. Comput. Biol. Medicine 171: 108131 (2024) - [j62]Yikai Gao, Aiping Liu, Heng Cui, Ruobing Qian, Xun Chen:
An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning. Comput. Biol. Medicine 183: 109257 (2024) - [j61]Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun Chen:
SIMFusion: A semantic information-guided modality-specific fusion network for MR Images. Inf. Fusion 112: 102560 (2024) - [j60]Xinlu Zong, Hejing Li, Aiping Liu, Hui Xu:
A crowd simulation model based on emotional cognition and contagion for emergency evacuation. J. Intell. Fuzzy Syst. 46(4): 10187-10200 (2024) - [j59]Jinbao Wei, Gang Yang, Zhijie Wang, Yu Liu, Aiping Liu, Xun Chen:
Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction. Knowl. Based Syst. 296: 111866 (2024) - [j58]Jiale Li, Aiping Liu, Yu Li, Wei Wei, Ruobing Qian, Qingguo Xie, Bensheng Qiu, Xun Chen:
Rethinking Deep Supervision for Brain Tumor Segmentation. IEEE Trans. Artif. Intell. 5(5): 2103-2116 (2024) - [j57]Ziye Zhang, Aiping Liu, Yikai Gao, Xinrui Cui, Ruobing Qian, Xun Chen:
Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction. IEEE Trans. Cogn. Dev. Syst. 16(1): 202-211 (2024) - [j56]Yuhang Chen, Aiping Liu, Yu Liu, Zhiyang He, Cong Liu, Xun Chen:
Multi-Dimensional Medical Image Fusion With Complex Sparse Representation. IEEE Trans. Biomed. Eng. 71(9): 2728-2739 (2024) - [j55]Heng Cui, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen:
A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j54]Yurui Zhu, Xueyang Fu, Zheyu Zhang, Aiping Liu, Zhiwei Xiong, Zheng-Jun Zha:
Hue Guidance Network for Single Image Reflection Removal. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13701-13712 (2024) - [c23]Zheyu Zhang, Gang Yang, Yueyi Zhang, Huanjing Yue, Aiping Liu, Yunwei Ou, Jian Gong, Xiaoyan Sun:
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities. AAAI 2024: 7414-7422 - [c22]Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha:
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization. AAAI 2024: 7739-7747 - [c21]Zhijing Sun, Xueyang Fu, Longzhuo Huang, Aiping Liu, Zheng-Jun Zha:
Motion Aware Event Representation-Driven Image Deblurring. ECCV (46) 2024: 418-435 - [i8]Fanzhe Yan, Gang Yang, Yu Li, Aiping Liu, Xun Chen:
Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation. CoRR abs/2403.01246 (2024) - 2023
- [j53]Xinhui Li, Xu Zhang, Xiang Chen, Xun Chen, Aiping Liu:
Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework. Comput. Biol. Medicine 165: 107327 (2023) - [j52]Gang Yang, Li Zhang, Aiping Liu, Xueyang Fu, Xun Chen, Rujing Wang:
MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction. Comput. Biol. Medicine 167: 107605 (2023) - [j51]Xueyang Fu, Jie Xiao, Yurui Zhu, Aiping Liu, Feng Wu, Zheng-Jun Zha:
Continual Image Deraining With Hypergraph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9534-9551 (2023) - [j50]Jie Xiao, Xueyang Fu, Aiping Liu, Feng Wu, Zheng-Jun Zha:
Image De-Raining Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12978-12995 (2023) - [j49]Le Wu, Aiping Liu, Rabab K. Ward, Z. Jane Wang, Xun Chen:
Signal Processing for Brain-Computer Interfaces: A review and current perspectives. IEEE Signal Process. Mag. 40(5): 80-91 (2023) - [j48]Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Jun Liu, Xun Chen:
EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion. IEEE Trans. Affect. Comput. 14(4): 2740-2750 (2023) - [j47]Yu Li, Aiping Liu, Liangyong Li, Yunhu Wu, Martin J. McKeown, Xun Chen, Feng Wu:
Connectivity-Based Brain Parcellation for Parkinson's Disease. IEEE Trans. Biomed. Eng. 70(5): 1539-1552 (2023) - [j46]Man Zhou, Keyu Yan, Xueyang Fu, Aiping Liu, Chengjun Xie:
PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening. IEEE Trans. Computational Imaging 9: 238-249 (2023) - [j45]Deng Liang, Aiping Liu, Yikai Gao, Chang Li, Ruobing Qian, Xun Chen:
Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j44]Xiaowen Zhang, Aiping Liu, Pan Jiang, Ruobing Qian, Wei Wei, Xun Chen:
MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j43]Liang Zou, Zexin Huang, Xinhui Yu, Jiannan Zheng, Aiping Liu, Meng Lei:
Automatic Detection of Congestive Heart Failure Based on Multiscale Residual UNet++: From Centralized Learning to Federated Learning. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c20]Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng:
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. ICCV 2023: 16811-16821 - [i7]Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng:
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. CoRR abs/2305.07774 (2023) - [i6]Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen:
Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR abs/2306.08256 (2023) - 2022
- [j42]Xinhui Li, Xu Zhang, Xiao Tang, Maoqi Chen, Xiang Chen, Xun Chen, Aiping Liu:
Decoding muscle force from individual motor unit activities using a twitch force model and hybrid neural networks. Biomed. Signal Process. Control. 72(Part): 103297 (2022) - [j41]Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen:
Detecting the universal adversarial perturbations on high-density sEMG signals. Comput. Biol. Medicine 149: 105978 (2022) - [j40]Yu Li, Aiping Liu, Xueyang Fu, Martin J. McKeown, Z. Jane Wang, Xun Chen:
Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex. Comput. Biol. Medicine 150: 106078 (2022) - [j39]Yikai Gao, Aiping Liu, Xinrui Cui, Ruobing Qian, Xun Chen:
A general sample-weighted framework for epileptic seizure prediction. Comput. Biol. Medicine 150: 106169 (2022) - [j38]Zihe Yang, Xueyang Fu, Aiping Liu, Zheng-Jun Zha:
Progressive Pan-Sharpening via Cross-Scale Collaboration Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j37]Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang:
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey. IEEE Signal Process. Mag. 39(2): 117-134 (2022) - [j36]Man Zhou, Xueyang Fu, Jie Huang, Feng Zhao, Aiping Liu, Rujing Wang:
Effective Pan-Sharpening With Transformer and Invertible Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j35]Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen:
Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j34]Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, Xun Chen:
Transformer-Based End-to-End Anatomical and Functional Image Fusion. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j33]Qinrui Ling, Aiping Liu, Yu Li, Xueyang Fu, Xun Chen, Martin J. McKeown, Feng Wu:
A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation. IEEE J. Biomed. Health Informatics 26(11): 5641-5652 (2022) - [j32]Yuheng Feng, Qingze Liu, Aiping Liu, Ruobing Qian, Xun Chen:
A Novel SSA-CCA Framework forMuscle Artifact Removal from Ambulatory EEG. Virtual Real. Intell. Hardw. 4(1): 1-21 (2022) - [c19]Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu:
Pan-Sharpening with Customized Transformer and Invertible Neural Network. AAAI 2022: 3553-3561 - [c18]Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang:
Memory-augmented Deep Conditional Unfolding Network for Pansharpening. CVPR 2022: 1778-1787 - [c17]Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao:
Spatial-Frequency Domain Information Integration for Pan-Sharpening. ECCV (18) 2022: 274-291 - [c16]Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao:
Normalization-based Feature Selection and Restitution for Pan-sharpening. ACM Multimedia 2022: 3365-3374 - [c15]Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu:
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. ACM Multimedia 2022: 3974-3982 - [i5]Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu:
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. CoRR abs/2209.07030 (2022) - 2021
- [j31]Pengli Dong, Weizhong Xu, Zhongwen Kuang, Youxing Yao, Zhiqin Zhang, Daoyou Guo, Huaping Wu, Tingyu Zhao, Aiping Liu:
Liquid Stratification and Diffusion-Induced Anisotropic Hydrogel Actuators with Excellent Thermosensitivity and Programmable Functionality. Adv. Intell. Syst. 3(11): 2100030 (2021) - [j30]Yu Liu, Xun Chen, Aiping Liu, Rabab K. Ward, Zhen Jane Wang:
Recent Advances in Sparse Representation Based Medical Image Fusion. IEEE Instrum. Meas. Mag. 24(2): 45-53 (2021) - [j29]Rencheng Song, Guoping Wang, Juan Cheng, Aiping Liu, Chang Li, Xun Chen:
Constrained independent vector extraction of quasi-periodic signals from multiple data sets. Signal Process. 189: 108296 (2021) - [j28]Aiping Liu, Soojin Lee, Xun Chen, Martin J. McKeown, Z. Jane Wang:
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation. IEEE Signal Process. Mag. 38(4): 54-64 (2021) - [j27]Aiping Liu, Qingze Liu, Xu Zhang, Xiang Chen, Xun Chen:
Muscle Artifact Removal Toward Mobile SSVEP-Based BCI: A Comparative Study. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j26]Aiping Liu, Gongzheng Song, Soojin Lee, Xueyang Fu, Xun Chen:
A State-Dependent IVA Model for Muscle Artifacts Removal From EEG Recordings. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j25]Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aiping Liu, Xun Chen:
Emotion Recognition From Multi-Channel EEG via Deep Forest. IEEE J. Biomed. Health Informatics 25(2): 453-464 (2021) - [j24]Yu Li, Aiping Liu, Taomian Mi, Runyu Yang, Piu Chan, Martin J. McKeown, Xun Chen, Feng Wu:
Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease. IEEE J. Biomed. Health Informatics 25(9): 3564-3575 (2021) - [c14]Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xun Chen:
White-Box Attacks on the CNN-Based Myoelectric Control System. CICAI 2021: 149-157 - [c13]Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha:
Image De-Raining via Continual Learning. CVPR 2021: 4907-4916 - [c12]Xueyang Fu, Xi Wang, Aiping Liu, Junwei Han, Zheng-Jun Zha:
Learning Dual Priors for JPEG Compression Artifacts Removal. ICCV 2021: 4066-4075 - [c11]Jie Xiao, Man Zhou, Xueyang Fu, Aiping Liu, Zheng-Jun Zha:
Improving De-raining Generalization via Neural Reorganization. ICCV 2021: 4967-4976 - [c10]Lujian Ye, Xueyang Fu, Aiping Liu, Zheng-Jun Zha:
A Decomposition-based Network for Non-uniform Illuminated Retinal Image Enhancement. ISMICT 2021: 59-64 - [c9]Man Zhou, Xueyang Fu, Zeyu Xiao, Gang Yang, Aiping Liu, Zhiwei Xiong:
Unfolding Taylor's Approximations for Image Restoration. NeurIPS 2021: 18997-19009 - [c8]Aiping Liu, Rui Zhuang, Peng Wei, Jiawei Liu, Jingjing Hong, Xingping Zhou, Qin Wang:
The Polarization rotator based on adiabatic waveguide. WCSP 2021: 1-4 - [i4]Man Zhou, Zeyu Xiao, Xueyang Fu, Aiping Liu, Gang Yang, Zhiwei Xiong:
Unfolding Taylor's Approximations for Image Restoration. CoRR abs/2109.03442 (2021) - [i3]Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen:
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT. CoRR abs/2112.05900 (2021) - [i2]Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang:
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey. CoRR abs/2112.06654 (2021) - 2020
- [j23]Jing Zhang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen:
ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network. Artif. Intell. Medicine 106: 101856 (2020) - [j22]Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Kongqiao Wang, Xun Chen:
EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network. Knowl. Based Syst. 205: 106243 (2020) - [j21]Yurui Zhu, Xueyang Fu, Aiping Liu:
Learning Dual Transformation Networks for Image Contrast Enhancement. IEEE Signal Process. Lett. 27: 1999-2003 (2020) - [j20]Xun Chen, Qingze Liu, Wei Tao, Luchang Li, Soojin Lee, Aiping Liu, Qiang Chen, Juan Cheng, Martin J. McKeown, Z. Jane Wang:
ReMAE: User-Friendly Toolbox for Removing Muscle Artifacts From EEG. IEEE Trans. Instrum. Meas. 69(5): 2105-2119 (2020) - [j19]Jiayue Cai, Yuheng Wang, Aiping Liu, Martin J. McKeown, Z. Jane Wang:
Novel Regional Activity Representation With Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation. IEEE Trans. Medical Imaging 39(7): 2363-2373 (2020) - [j18]Xuesong Wang, Yang Gu, Yuhu Cheng, Aiping Liu, C. L. Philip Chen:
Approximate Policy-Based Accelerated Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1820-1830 (2020) - [c7]Xinlu Zong, Yijie Chen, Aiping Liu, Ruicheng Li, Shiqin Liu, Han Yu, Min Tan:
Abnormal Event Detection in Video Based on Sparse Representation. ICCSE 2020: 649-653 - [i1]Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen:
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG. CoRR abs/2008.07263 (2020)
2010 – 2019
- 2019
- [j17]Juan Cheng, Luchang Li, Chang Li, Yu Liu, Aiping Liu, Ruobing Qian, Xun Chen:
Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study. IEEE Access 7: 60276-60289 (2019) - [j16]Jiayue Cai, Aiping Liu, Taomian Mi, Saurabh Garg, Wade Trappe, Martin J. McKeown, Z. Jane Wang:
Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value. IEEE J. Biomed. Health Informatics 23(4): 1720-1729 (2019) - [j15]Xuesong Wang, Jian Liu, Yuhu Cheng, Aiping Liu, Enhong Chen:
Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data. IEEE Trans. Knowl. Data Eng. 31(12): 2292-2303 (2019) - 2018
- [j14]Juan Cheng, Fulin Wei, Chang Li, Yu Liu, Aiping Liu, Xun Chen:
Position-independent gesture recognition using sEMG signals via canonical correlation analysis. Comput. Biol. Medicine 103: 44-54 (2018) - [j13]Xun Chen, Xueyuan Xu, Aiping Liu, Martin J. McKeown, Z. Jane Wang:
The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings. IEEE Trans. Instrum. Meas. 67(2): 359-370 (2018) - 2017
- [j12]Xun Chen, Aiping Liu, Qiang Chen, Yu Liu, Liang Zou, Martin J. McKeown:
Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics. Comput. Biol. Medicine 88: 1-10 (2017) - [c6]Xueyuan Xu, Aiping Liu, Xun Chen:
A novel few-channel strategy for removing muscle artifacts from multichannel EEG data. GlobalSIP 2017: 976-980 - 2016
- [j11]Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang:
Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model. Biomed. Signal Process. Control. 27: 174-183 (2016) - [j10]Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang:
A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks. IEEE J. Sel. Top. Signal Process. 10(7): 1172-1181 (2016) - [c5]Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang:
Joint time invariant and time dependent brain connectivity network estimation. CCECE 2016: 1-4 - [c4]Aiping Liu, Liang Yu:
The generation of high-dimensional optical beam by waveguide surface holographic grating. WCSP 2016: 1-3 - 2015
- [j9]Juan Cheng, Xun Chen, Aiping Liu, Hu Peng:
A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors. Sensors 15(9): 23303-23324 (2015) - [j8]Aiping Liu, Xun Chen, Martin J. McKeown, Z. Jane Wang:
A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation. IEEE Trans. Biomed. Eng. 62(2): 501-510 (2015) - [c3]Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang:
Connectivity-based parcellation of putamen using resting state fMRI data. ISBI 2015: 34-37 - 2014
- [j7]Xun Chen, Aiping Liu, Hu Peng, Rabab K. Ward:
A Preliminary Study of Muscular Artifact Cancellation in Single-Channel EEG. Sensors 14(10): 18370-18389 (2014) - [j6]Aiping Liu, Xiaohui Chen, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell, Martin J. McKeown:
A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia. IEEE Trans. Biomed. Eng. 61(3): 946-956 (2014) - [j5]Xun Chen, Aiping Liu, Martin J. McKeown, Howard Poizner, Z. Jane Wang:
An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis. IEEE Trans. Biomed. Eng. 61(7): 2187-2198 (2014) - [c2]Aiping Liu, Xun Chen, Z. Jane Wang, Martin J. McKeown:
Time varying brain connectivity modeling using FMRI signals. ICASSP 2014: 2089-2093 - 2013
- [j4]Xun Chen, Aiping Liu, Z. Jane Wang, Hu Peng:
Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis. J. Appl. Math. 2013: 401976:1-401976:11 (2013) - 2012
- [j3]Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown:
A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference. Comput. Math. Methods Medicine 2012: 967380:1-967380:14 (2012) - [c1]Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown:
An FDR-controlled, exploratory group modeling for assessing brain connectivity. ISBI 2012: 558-561 - 2011
- [j2]Peng Li, Xin Yin, Liang Shi, Aiping Liu, Sandra Rugonyi, Ruikang K. Wang:
Measurement of Strain and Strain Rate in Embryonic Chick Heart In Vivo Using Spectral Domain Optical Coherence Tomography. IEEE Trans. Biomed. Eng. 58(8): 2333-2338 (2011)
2000 – 2009
- 2009
- [j1]Aiping Liu, Ruikang K. Wang, Kent L. Thornburg, Sandra Rugonyi:
Dynamic variation of hemodynamic shear stress on the walls of developing chick hearts: computational models of the heart outflow tract. Eng. Comput. 25(1): 73-86 (2009)
Coauthor Index
[j63] [j62] [j61] [j59] [j58] [j57] [j56] [j55] [j53] [j52] [j49] [j48] [j47] [j45] [j44] [c20] [i7] [i6] [j42] [j41] [j40] [j39] [j37] [j35] [j34] [j33] [j32] [c15] [i5] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [c14] [i2] [j23] [j22] [j20] [i1] [j17] [j14] [j13] [j12] [c6] [j10] [c5] [j9] [j8] [j7] [j5] [c2] [j4]
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