Classification of rice grains using fuzzy artmap neural network. - Chong-Yaw Wee; Raveendran Paramesran; Fumiaki Takeda; Takeo Tsuzuki; Hiroshi Kadota; Satoshi Shimanouchi (APCCAS (2), 2002)

Classification of Rice Grain Using New Scale Invariant Zernike Moments. - Chong-Yaw Wee; Paramesran Raveendran; Fumiaki Takeda; Takeo Tsuzuki; Hiroshi Kadota; Satoshi Shimanouchi (JCIS, 2002)

New computational methods for full and subset Zernike moments. - Chong-Yaw Wee; Paramesran Raveendran; Fumiaki Takeda (Inf. Sci., 2004)

Efficient computation of radial moment functions using symmetrical property. - Chong-Yaw Wee; Paramesran Raveendran (Pattern Recognit., 2006)

Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments. - Chong-Yaw Wee; Paramesran Raveendran; R. Mukundan 001 (ICIAP, 2007)

Fast Computation of Zernike Moments For Rice Sorting System. - Chong-Yaw Wee; Paramesran Raveendran; Fumiaki Takeda (ICIP (6), 2007)

Measure of image sharpness using eigenvalues. - Chong-Yaw Wee; Paramesran Raveendran (Inf. Sci., 2007)

On the computational aspects of Zernike moments. - Chong-Yaw Wee; Paramesran Raveendran (Image Vis. Comput., 2007)

Fast computation of geometric moments using a symmetric kernel. - Chong-Yaw Wee; Paramesran Raveendran; R. Mukundan 001 (Pattern Recognit., 2008)

Sorting of rice grains using Zernike moments. - Chong-Yaw Wee; Paramesran Raveendran; Fumiaki Takeda (J. Real Time Image Process., 2009)

Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network. - Chong-Yaw Wee; Pew-Thian Yap; Jeffery N. Browndyke; Guy G. Potter; David C. Steffens; Kathleen Welsh-Bohmer; Lihong Wang; Dinggang Shen (MLMI, 2010)

Image quality assessment by discrete orthogonal moments. - Chong-Yaw Wee; Paramesran Raveendran; Ramakrishnan Mukundan; Xudong Jiang 001 (Pattern Recognit., 2010)

Identification of Individuals with MCI via Multimodality Connectivity Networks. - Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Kevin Denny; Lihong Wang; Dinggang Shen (MICCAI (2), 2011)

Enriched white matter connectivity networks for accurate identification of MCI patients. - Chong-Yaw Wee; Pew-Thian Yap; Wenbin Li 006; Kevin Denny; Jeffrey N. Browndyke; Guy G. Potter; Kathleen Welsh-Bohmer; Lihong Wang; Dinggang Shen (NeuroImage, 2011)

Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. - Biao Jie; Daoqiang Zhang; Chong-Yaw Wee; Dinggang Shen (MBIA, 2012)

Groupwise Segmentation Improves Neuroimaging Classification Accuracy. - Yaping Wang; Hongjun Jia; Pew-Thian Yap; Bo Cheng 006; Chong-Yaw Wee; Lei Guo 002; Dinggang Shen (MBIA, 2012)

Constrained Sparse Functional Connectivity Networks for MCI Classification. - Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Lihong Wang; Dinggang Shen (MICCAI (2), 2012)

Identification of MCI individuals using structural and functional connectivity networks. - Chong-Yaw Wee; Pew-Thian Yap; Daoqiang Zhang; Kevin Denny; Jeffrey N. Browndyke; Guy G. Potter; Kathleen Welsh-Bohmer; Lihong Wang; Dinggang Shen (NeuroImage, 2012)

Integrating Multiple Network Properties for MCI Identification. - Biao Jie; Daoqiang Zhang; Heung-Il Suk; Chong-Yaw Wee; Dinggang Shen (MLMI, 2013)

High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification. - Feng Liu 035; Heung-Il Suk; Chong-Yaw Wee; Huafu Chen; Dinggang Shen (MICCAI (2), 2013)

Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification. - Feng Liu 035; Chong-Yaw Wee; Huafu Chen; Dinggang Shen (MICCAI (1), 2013)

Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification. - Heung-Il Suk; Chong-Yaw Wee; Dinggang Shen (MLMI, 2013)

Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion. - Kim-Han Thung; Chong-Yaw Wee; Pew-Thian Yap; Dinggang Shen (MLMI, 2013)

Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. - Chong-Yaw Wee; Yang Li 010; Biao Jie; Zi-Wen Peng; Dinggang Shen (MICCAI (2), 2013)

Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification. - Chong-Yaw Wee; Sen Yang; Pew-Thian Yap; Dinggang Shen (MLMI, 2013)

Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding. - Pei Zhang 002; Chong-Yaw Wee; Marc Niethammer; Dinggang Shen; Pew-Thian Yap (MICCAI (1), 2013)

Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics. - True Price; Chong-Yaw Wee; Wei Gao; Dinggang Shen (MICCAI (3), 2014)

Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification. - Feng Liu 035; Chong-Yaw Wee; Huafu Chen; Dinggang Shen (NeuroImage, 2014)

Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. - Kim-Han Thung; Chong-Yaw Wee; Pew-Thian Yap; Dinggang Shen (NeuroImage, 2014)

Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification. - Yang Li 010; Chong-Yaw Wee; Biao Jie; Zi-Wen Peng; Dinggang Shen (Neuroinformatics, 2014)

Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. - Biao Jie; Daoqiang Zhang; Wei Gao; Qian Wang 001; Chong-Yaw Wee; Dinggang Shen (IEEE Trans. Biomed. Eng., 2014)

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. - Dinggang Shen; Chong-Yaw Wee; Daoqiang Zhang; Luping Zhou; Pew-Thian Yap (Machine Learning in Healthcare Informatics, 2014)

Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. - Ehsan Adeli-Mosabbeb; Chong-Yaw Wee; Le An; Feng Shi 001; Dinggang Shen (MCV@MICCAI, 2015)

Block-Based Statistics for Robust Non-parametric Morphometry. - Geng Chen 001; Pei Zhang 002; Ke Li; Chong-Yaw Wee; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (Patch-MI@MICCAI, 2015)

MCI Identification by Joint Learning on Multiple MRI Data. - Yue Gao 002; Chong-Yaw Wee; Minjeong Kim; Panteleimon Giannakopoulos; Marie-Louise Montandon; Sven Haller; Dinggang Shen (MICCAI (2), 2015)

Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. - Yan Jin 001; Chong-Yaw Wee; Feng Shi 001; Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (MLMI, 2015)

Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data. - Brent C. Munsell; Chong-Yaw Wee; Simon S. Keller; Bernd Weber 001; Christian Erich Elger; Laura Angelica Tomaz da Silva; Travis Nesland; Martin Styner; Dinggang Shen; Leonardo Bonilha (NeuroImage, 2015)

Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. - Heung-Il Suk; Chong-Yaw Wee; Seong-Whan Lee; Dinggang Shen (Neuroinformatics, 2015)

Hyper-connectivity of functional networks for brain disease diagnosis. - Biao Jie; Chong-Yaw Wee; Dinggang Shen; Daoqiang Zhang (Medical Image Anal., 2016)

Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. - Ehsan Adeli 001; Feng Shi 001; Le An; Chong-Yaw Wee; Guorong Wu 001; Tao Wang; Dinggang Shen (NeuroImage, 2016)

State-space model with deep learning for functional dynamics estimation in resting-state fMRI. - Heung-Il Suk; Chong-Yaw Wee; Seong-Whan Lee; Dinggang Shen (NeuroImage, 2016)

Multimodal Hyper-connectivity Networks for MCI Classification. - Yang Li 010; Xinqiang Gao; Biao Jie; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MICCAI (1), 2017)

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. - Yang Li 010; Jingyu Liu 002; Mei-Lin Luo; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MLMI@MICCAI, 2017)

Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. - Yang Li 010; Jingyu Liu 002; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MLMI@MICCAI, 2017)

Novel Effective Connectivity Network Inference for MCI Identification. - Yang Li 010; Hao Yang 032; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MLMI@MICCAI, 2017)

A brief review on multi-task learning. - Kim-Han Thung; Chong-Yaw Wee (Multim. Tools Appl., 2018)

Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis. - Yiqiao Jiang; Huifang Huang; Jingyu Liu 002; Chong-Yaw Wee; Yang Li 010 (MLMI@MICCAI, 2019)

Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. - Yang Li 010; Jingyu Liu 002; Xinqiang Gao; Biao Jie; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Medical Image Anal., 2019)

Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. - Yang Li 010; Hao Yang 032; Baiying Lei; Jingyu Liu 002; Chong-Yaw Wee (IEEE Trans. Medical Imaging, 2019)

Deep understanding of big multimedia data. - Xiaofeng Zhu 001; Chong-Yaw Wee; Minjeong Kim (Neural Comput. Appl., 2020)

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. - Yang Li 010; Jingyu Liu 002; Zi-Wen Peng; Can Sheng; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Neuroinformatics, 2020)