Chong-Yaw Wee

Publication Activity (10 Years)

Years Active: 2002-2020
Publications (10 Years): 13

Top Topics

Functional Connectivity

Robust Classification

Mild Cognitive Impairment

Top Venues

Publications

Yang Li, Jingyu Liu, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. Neuroinformatics 18 (1) (2020)
Xiaofeng Zhu, Chong-Yaw Wee, Minjeong Kim
Deep understanding of big multimedia data. Neural Comput. Appl. 32 (11) (2020)
Yang Li, Hao Yang, Baiying Lei, Jingyu Liu, Chong-Yaw Wee
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. IEEE Trans. Medical Imaging 38 (5) (2019)
Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. Medical Image Anal. 52 (2019)
Yiqiao Jiang, Huifang Huang, Jingyu Liu, Chong-Yaw Wee, Yang Li
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis. MLMI@MICCAI (2019)
Kim-Han Thung, Chong-Yaw Wee
A brief review on multi-task learning. Multim. Tools Appl. 77 (22) (2018)
Yang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. MLMI@MICCAI (2017)
Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
Multimodal Hyper-connectivity Networks for MCI Classification. MICCAI (1) (2017)
Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. MLMI@MICCAI (2017)
Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
Novel Effective Connectivity Network Inference for MCI Identification. MLMI@MICCAI (2017)
Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen
State-space model with deep learning for functional dynamics estimation in resting-state fMRI. NeuroImage 129 (2016)
Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. NeuroImage 141 (2016)
Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang
Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Anal. 32 (2016)
Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. Neuroinformatics 13 (3) (2015)
Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap
Block-Based Statistics for Robust Non-parametric Morphometry. Patch-MI@MICCAI (2015)
Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen
MCI Identification by Joint Learning on Multiple MRI Data. MICCAI (2) (2015)
Brent C. Munsell, Chong-Yaw Wee, Simon S. Keller, Bernd Weber, Christian Erich Elger, Laura Angelica Tomaz da Silva, Travis Nesland, Martin Styner, Dinggang Shen, Leonardo Bonilha
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data. NeuroImage 118 (2015)
Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. MLMI (2015)
Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen
Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. MCV@MICCAI (2015)
Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen
Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification. NeuroImage 84 (2014)
True Price, Chong-Yaw Wee, Wei Gao, Dinggang Shen
Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics. MICCAI (3) (2014)
Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. NeuroImage 91 (2014)
Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. IEEE Trans. Biomed. Eng. 61 (2) (2014)
Yang Li, Chong-Yaw Wee, Biao Jie, Zi-Wen Peng, Dinggang Shen
Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification. Neuroinformatics 12 (3) (2014)
Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification. MLMI (2013)
Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen
High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification. MICCAI (2) (2013)
Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen
Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification. MICCAI (1) (2013)
Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. MICCAI (2) (2013)
Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding. MICCAI (1) (2013)
Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
Integrating Multiple Network Properties for MCI Identification. MLMI (2013)
Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion. MLMI (2013)
Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, Dinggang Shen
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification. MLMI (2013)
Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen
Constrained Sparse Functional Connectivity Networks for MCI Classification. MICCAI (2) (2012)
Yaping Wang, Hongjun Jia, Pew-Thian Yap, Bo Cheng, Chong-Yaw Wee, Lei Guo, Dinggang Shen
Groupwise Segmentation Improves Neuroimaging Classification Accuracy. MBIA (2012)
Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen
Identification of MCI individuals using structural and functional connectivity networks. NeuroImage 59 (3) (2012)
Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen
Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. MBIA (2012)
Chong-Yaw Wee, Pew-Thian Yap, Wenbin Li, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen
Enriched white matter connectivity networks for accurate identification of MCI patients. NeuroImage 54 (3) (2011)
Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen
Identification of Individuals with MCI via Multimodality Connectivity Networks. MICCAI (2) (2011)
Chong-Yaw Wee, Pew-Thian Yap, Jeffery N. Browndyke, Guy G. Potter, David C. Steffens, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network. MLMI (2010)
Chong-Yaw Wee, Paramesran Raveendran, Ramakrishnan Mukundan, Xudong Jiang
Image quality assessment by discrete orthogonal moments. Pattern Recognit. 43 (12) (2010)
Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda
Sorting of rice grains using Zernike moments. J. Real Time Image Process. 4 (4) (2009)
Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan
Fast computation of geometric moments using a symmetric kernel. Pattern Recognit. 41 (7) (2008)
Chong-Yaw Wee, Paramesran Raveendran
Measure of image sharpness using eigenvalues. Inf. Sci. 177 (12) (2007)
Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan
Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments. ICIAP (2007)
Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda
Fast Computation of Zernike Moments For Rice Sorting System. ICIP (6) (2007)
Chong-Yaw Wee, Paramesran Raveendran
On the computational aspects of Zernike moments. Image Vis. Comput. 25 (6) (2007)
Chong-Yaw Wee, Paramesran Raveendran
Efficient computation of radial moment functions using symmetrical property. Pattern Recognit. 39 (11) (2006)
Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda
New computational methods for full and subset Zernike moments. Inf. Sci. 159 (2) (2004)
Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda, Takeo Tsuzuki, Hiroshi Kadota, Satoshi Shimanouchi
Classification of Rice Grain Using New Scale Invariant Zernike Moments. JCIS (2002)
Chong-Yaw Wee, Raveendran Paramesran, Fumiaki Takeda, Takeo Tsuzuki, Hiroshi Kadota, Satoshi Shimanouchi
Classification of rice grains using fuzzy artmap neural network. APCCAS (2) (2002)