Chong-Yaw Wee
According to our database1,
Chong-Yaw Wee
authored at least 51 papers
between 2002 and 2020.
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Bibliography
2020
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.
Neuroinformatics, 2020
2019
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.
IEEE Trans. Medical Imaging, 2019
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.
Medical Image Anal., 2019
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
2018
2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
State-space model with deep learning for functional dynamics estimation in resting-state fMRI.
NeuroImage, 2016
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.
NeuroImage, 2016
Medical Image Anal., 2016
2015
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis.
Neuroinformatics, 2015
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.
NeuroImage, 2015
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
2014
Proceedings of the Machine Learning in Healthcare Informatics, 2014
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.
IEEE Trans. Biomed. Eng., 2014
Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification.
Neuroinformatics, 2014
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion.
NeuroImage, 2014
Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification.
NeuroImage, 2014
Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
2012
Identification of MCI individuals using structural and functional connectivity networks.
NeuroImage, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
2011
Enriched white matter connectivity networks for accurate identification of MCI patients.
NeuroImage, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
2009
2008
Pattern Recognit., 2008
2007
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
2006
Pattern Recognit., 2006
2004
2002
Classification of Rice Grain Using New Scale Invariant Zernike Moments.
Proceedings of the 6th Joint Conference on Information Science, 2002
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2002, 2002