default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChong-Yaw Wee
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2020
[j23]Xiaofeng Zhu
, Chong-Yaw Wee, Minjeong Kim:
Deep understanding of big multimedia data. Neural Comput. Appl. 32(11): 6417-6419 (2020)- [j22]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): 1-24 (2020)
2010 – 2019
- 2019
- [j21]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: 80-96 (2019) - [j20]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): 1227-1239 (2019) - [c27]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: 507-515 - 2018
- [j19]Kim-Han Thung, Chong-Yaw Wee:
A brief review on multi-task learning. Multim. Tools Appl. 77(22): 29705-29725 (2018) - 2017
- [c26]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: 299-306 - [c25]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: 307-315 - [c24]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: 316-324 - [c23]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: 433-441 - 2016
- [j18]Biao Jie, Chong-Yaw Wee, Dinggang Shen, Daoqiang Zhang:
Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Anal. 32: 84-100 (2016) - [j17]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: 292-307 (2016) - [j16]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: 206-219 (2016) - 2015
- [j15]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: 219-230 (2015) - [j14]Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen:
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. Neuroinformatics 13(3): 277-295 (2015) - [c22]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: 62-70 - [c21]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: 78-85 - [c20]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: 127-136 - [c19]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: 170-177 - 2014
- [j13]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: 466-475 (2014) - [j12]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: 386-400 (2014) - [j11]Yang Li, Chong-Yaw Wee, Biao Jie, Zi-Wen Peng, Dinggang Shen:
Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification. Neuroinformatics 12(3): 455-469 (2014) - [j10]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): 576-589 (2014) - [c18]True Price, Chong-Yaw Wee, Wei Gao, Dinggang Shen:
Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics. MICCAI (3) 2014: 177-184 - [p1]Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap:
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. Machine Learning in Healthcare Informatics 2014: 147-179 - 2013
- [c17]Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen:
Integrating Multiple Network Properties for MCI Identification. MLMI 2013: 9-16 - [c16]Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen:
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification. MLMI 2013: 131-138 - [c15]Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, Dinggang Shen:
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification. MLMI 2013: 139-146 - [c14]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: 163-170 - [c13]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: 292-299 - [c12]Feng Liu, Chong-Yaw Wee, Huafu Chen, Dinggang Shen:
Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification. MICCAI (1) 2013: 308-315 - [c11]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: 311-318 - [c10]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: 319-327 - 2012
- [j9]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): 2045-2056 (2012) - [c9]Biao Jie, Daoqiang Zhang, Chong-Yaw Wee, Dinggang Shen:
Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. MBIA 2012: 175-184 - [c8]Yaping Wang, Hongjun Jia, Pew-Thian Yap, Bo Cheng, Chong-Yaw Wee, Lei Guo, Dinggang Shen:
Groupwise Segmentation Improves Neuroimaging Classification Accuracy. MBIA 2012: 185-193 - [c7]Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen:
Constrained Sparse Functional Connectivity Networks for MCI Classification. MICCAI (2) 2012: 212-219 - 2011
- [j8]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): 1812-1822 (2011) - [c6]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: 277-284 - 2010
- [j7]Chong-Yaw Wee, Paramesran Raveendran, Ramakrishnan Mukundan, Xudong Jiang:
Image quality assessment by discrete orthogonal moments. Pattern Recognit. 43(12): 4055-4068 (2010) - [c5]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: 140-147
2000 – 2009
- 2009
- [j6]Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda:
Sorting of rice grains using Zernike moments. J. Real Time Image Process. 4(4): 353-363 (2009) - 2008
- [j5]Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan:
Fast computation of geometric moments using a symmetric kernel. Pattern Recognit. 41(7): 2369-2380 (2008) - 2007
- [j4]Chong-Yaw Wee, Paramesran Raveendran:
Measure of image sharpness using eigenvalues. Inf. Sci. 177(12): 2533-2552 (2007) - [j3]Chong-Yaw Wee, Paramesran Raveendran:
On the computational aspects of Zernike moments. Image Vis. Comput. 25(6): 967-980 (2007) - [c4]Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan:
Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments. ICIAP 2007: 807-812 - [c3]Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda:
Fast Computation of Zernike Moments For Rice Sorting System. ICIP (6) 2007: 165-168 - 2006
- [j2]Chong-Yaw Wee, Paramesran Raveendran:
Efficient computation of radial moment functions using symmetrical property. Pattern Recognit. 39(11): 2036-2046 (2006) - 2004
- [j1]Chong-Yaw Wee, Paramesran Raveendran, Fumiaki Takeda:
New computational methods for full and subset Zernike moments. Inf. Sci. 159(2): 203-220 (2004) - 2002
- [c2]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: 223-226 - [c1]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: 832-835
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
