Chong-Yaw Wee

51 papers Misc 1Journal 23Unranked 26
YearRankTypeTitle / Venue / Authors
2020 J jnl
Deep understanding of big multimedia data.
Neural Comput. Appl.
Xiaofeng Zhu, Chong-Yaw Wee, Minjeong Kim
2020 J jnl
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.
Neuroinformatics
Yang Li, Jingyu Liu, Zi-Wen Peng, Can Sheng, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen
2019 — conf
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis.
MLMI@MICCAI
Yiqiao Jiang, Huifang Huang, Jingyu Liu, Chong-Yaw Wee, Yang Li
2019 J jnl
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.
Medical Image Anal.
Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen
2019 J jnl
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.
IEEE Trans. Medical Imaging
Yang Li, Hao Yang, Baiying Lei, Jingyu Liu, Chong-Yaw Wee
2018 J jnl
A brief review on multi-task learning.
Multim. Tools Appl.
Kim-Han Thung, Chong-Yaw Wee
2017 — conf
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.
MLMI@MICCAI
Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
2017 — conf
Multimodal Hyper-connectivity Networks for MCI Classification.
MICCAI (1)
Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
2017 — conf
Novel Effective Connectivity Network Inference for MCI Identification.
MLMI@MICCAI
Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
2017 — conf
Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification.
MLMI@MICCAI
Yang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen
2016 J jnl
Hyper-connectivity of functional networks for brain disease diagnosis.
Medical Image Anal.
Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang
2016 J jnl
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.
NeuroImage
Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen
2016 J jnl
State-space model with deep learning for functional dynamics estimation in resting-state fMRI.
NeuroImage
Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen
2015 — conf
Block-Based Statistics for Robust Non-parametric Morphometry.
Patch-MI@MICCAI
Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen, Pew-Thian Yap
2015 J jnl
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.
NeuroImage
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
2015 — conf
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes.
MLMI
Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen
2015 — conf
Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis.
MCV@MICCAI
Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen
2015 — conf
MCI Identification by Joint Learning on Multiple MRI Data.
MICCAI (2)
Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen
2015 J jnl
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis.
Neuroinformatics
Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen
2014 J jnl
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.
IEEE Trans. Biomed. Eng.
Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong-Yaw Wee, Dinggang Shen
2014 J jnl
Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification.
NeuroImage
Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen
2014 — ch.
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.
Machine Learning in Healthcare Informatics
Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap
2014 — conf
Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics.
MICCAI (3)
True Price, Chong-Yaw Wee, Wei Gao, Dinggang Shen
2014 J jnl
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion.
NeuroImage
Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen
2014 J jnl
Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification.
Neuroinformatics
Yang Li, Chong-Yaw Wee, Biao Jie, Zi-Wen Peng, Dinggang Shen
2013 — conf
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification.
MLMI
Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
2013 — conf
High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification.
MICCAI (2)
Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen
2013 — conf
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion.
MLMI
Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen
2013 — conf
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks.
MICCAI (2)
Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen
2013 — conf
Integrating Multiple Network Properties for MCI Identification.
MLMI
Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
2013 — conf
Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification.
MICCAI (1)
Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen
2013 — conf
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding.
MICCAI (1)
Pei Zhang, Chong-Yaw Wee, Marc Niethammer, Dinggang Shen, Pew-Thian Yap
2013 — conf
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification.
MLMI
Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, Dinggang Shen
2012 — conf
Constrained Sparse Functional Connectivity Networks for MCI Classification.
MICCAI (2)
Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen
2012 — conf
Groupwise Segmentation Improves Neuroimaging Classification Accuracy.
MBIA
Yaping Wang, Hongjun Jia, Pew-Thian Yap, Bo Cheng, Chong-Yaw Wee, Lei Guo, Dinggang Shen
2012 J jnl
Identification of MCI individuals using structural and functional connectivity networks.
NeuroImage
Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen
2012 — conf
Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.
MBIA
Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen
2011 J jnl
Enriched white matter connectivity networks for accurate identification of MCI patients.
NeuroImage
Chong-Yaw Wee, Pew-Thian Yap, Wenbin Li, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen
2011 — conf
Identification of Individuals with MCI via Multimodality Connectivity Networks.
MICCAI (2)
Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen
2010 — conf
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network.
MLMI
Chong-Yaw Wee, Pew-Thian Yap, Jeffery N. Browndyke, Guy G. Potter, David C. Steffens, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen
2010 J jnl
Image quality assessment by discrete orthogonal moments.
Pattern Recognit.
Chong-Yaw Wee, Paramesran Raveendran, Ramakrishnan Mukundan, Xudong Jiang
2009 J jnl
Sorting of rice grains using Zernike moments.
J. Real Time Image Process.
Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda
2008 J jnl
Fast computation of geometric moments using a symmetric kernel.
Pattern Recognit.
Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan
2007 — conf
Fast Computation of Zernike Moments For Rice Sorting System.
ICIP (6)
Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda
2007 J jnl
Measure of image sharpness using eigenvalues.
Inf. Sci.
Chong-Yaw Wee, Paramesran Raveendran
2007 J jnl
On the computational aspects of Zernike moments.
Image Vis. Comput.
Chong-Yaw Wee, Paramesran Raveendran
2007 Misc conf
Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments.
ICIAP
Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan
2006 J jnl
Efficient computation of radial moment functions using symmetrical property.
Pattern Recognit.
Chong-Yaw Wee, Paramesran Raveendran
2004 J jnl
New computational methods for full and subset Zernike moments.
Inf. Sci.
Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda
2002 — conf
Classification of Rice Grain Using New Scale Invariant Zernike Moments.
JCIS
Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda, Takeo Tsuzuki, Hiroshi Kadota, Satoshi Shimanouchi
2002 — conf
Classification of rice grains using fuzzy artmap neural network.
APCCAS (2)
Chong-Yaw Wee, Raveendran Paramesran, Fumiaki Takeda, Takeo Tsuzuki, Hiroshi Kadota, Satoshi Shimanouchi