Deep understanding of big multimedia data.

Chong-Yaw Wee

Xiaofeng Zhu 0001 Chong-Yaw Wee Minjeong Kim 0001 Deep understanding of big multimedia data. 6417-6419 2020 32 Neural Comput. Appl. 11 https://doi.org/10.1007/s00521-020-04885-9 db/journals/nca/nca32.html#ZhuWK20

Yang Li 0010 Jingyu Liu 0002 Zi-Wen Peng Can Sheng Minjeong Kim 0001 Pew-Thian Yap Chong-Yaw Wee Dinggang Shen Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. 1-24 2020 18 Neuroinformatics 1 https://doi.org/10.1007/s12021-019-09418-x https://www.wikidata.org/entity/Q64111181 db/journals/ni/ni18.html#LiLPSKYWS20

Yang Li 0010 Jingyu Liu 0002 Xinqiang Gao Biao Jie Minjeong Kim 0001 Pew-Thian Yap Chong-Yaw Wee Dinggang Shen Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. 80-96 2019 52 Medical Image Anal. https://doi.org/10.1016/j.media.2018.11.006 https://www.wikidata.org/entity/Q64120813 db/journals/mia/mia52.html#LiLGJKYWS19

Yang Li 0010 Hao Yang 0032 Baiying Lei Jingyu Liu 0002 Chong-Yaw Wee Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. 1227-1239 2019 38 IEEE Trans. Medical Imaging 5 https://doi.org/10.1109/TMI.2018.2882189 https://www.wikidata.org/entity/Q93367946 db/journals/tmi/tmi38.html#LiYLLW19

Yiqiao Jiang Huifang Huang Jingyu Liu 0002 Chong-Yaw Wee Yang Li 0010 Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis. 507-515 2019 MLMI@MICCAI https://doi.org/10.1007/978-3-030-32692-0_58 conf/miccai/2019mlmi db/conf/miccai/mlmi2019.html#JiangHLW019

Kim-Han Thung Chong-Yaw Wee A brief review on multi-task learning. 29705-29725 2018 77 Multim. Tools Appl. 22 https://doi.org/10.1007/s11042-018-6463-x https://www.wikidata.org/entity/Q129385581 db/journals/mta/mta77.html#ThungW18

Yang Li 0010 Jingyu Liu 0002 Mei-Lin Luo Ke Li Pew-Thian Yap Minjeong Kim 0001 Chong-Yaw Wee Dinggang Shen Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. 299-306 2017 MLMI@MICCAI https://doi.org/10.1007/978-3-319-67389-9_35 https://www.wikidata.org/entity/Q89717708 conf/miccai/2017mlmi db/conf/miccai/mlmi2017.html#LiLLLYKWS17 Yang Li 0010 Jingyu Liu 0002 Ke Li Pew-Thian Yap Minjeong Kim 0001 Chong-Yaw Wee Dinggang Shen Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. 307-315 2017 MLMI@MICCAI https://doi.org/10.1007/978-3-319-67389-9_36 https://www.wikidata.org/entity/Q89132609 conf/miccai/2017mlmi db/conf/miccai/mlmi2017.html#LiLLYKWS17 Yang Li 0010 Hao Yang 0032 Ke Li Pew-Thian Yap Minjeong Kim 0001 Chong-Yaw Wee Dinggang Shen Novel Effective Connectivity Network Inference for MCI Identification. 316-324 2017 MLMI@MICCAI https://doi.org/10.1007/978-3-319-67389-9_37 https://www.wikidata.org/entity/Q89132613 conf/miccai/2017mlmi db/conf/miccai/mlmi2017.html#LiYLYKWS17 Yang Li 0010 Xinqiang Gao Biao Jie Pew-Thian Yap Minjeong Kim 0001 Chong-Yaw Wee Dinggang Shen Multimodal Hyper-connectivity Networks for MCI Classification. 433-441 2017 MICCAI (1) https://doi.org/10.1007/978-3-319-66182-7_50 https://www.wikidata.org/entity/Q88141328 conf/miccai/2017-1 db/conf/miccai/miccai2017-1.html#LiGJYKWS17

Biao Jie Chong-Yaw Wee Dinggang Shen Daoqiang Zhang Hyper-connectivity of functional networks for brain disease diagnosis. 84-100 2016 32 Medical Image Anal. https://doi.org/10.1016/j.media.2016.03.003 https://www.wikidata.org/entity/Q37676900 db/journals/mia/mia32.html#JieWSZ16

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. 292-307 2016 129 NeuroImage https://doi.org/10.1016/j.neuroimage.2016.01.005 https://www.wikidata.org/entity/Q33707404 db/journals/neuroimage/neuroimage129.html#SukWLS16

Ehsan Adeli 0001 Feng Shi 0001 Le An Chong-Yaw Wee Guorong Wu 0001 Tao Wang Dinggang Shen Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. 206-219 2016 141 NeuroImage https://doi.org/10.1016/j.neuroimage.2016.05.054 https://www.wikidata.org/entity/Q31107850 db/journals/neuroimage/neuroimage141.html#AdeliSAWWWS16

Brent C. Munsell Chong-Yaw Wee Simon S. Keller Bernd Weber 0001 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. 219-230 2015 118 NeuroImage https://doi.org/10.1016/j.neuroimage.2015.06.008 https://www.wikidata.org/entity/Q30967973 db/journals/neuroimage/neuroimage118.html#MunsellWKWESNSS15

Heung-Il Suk Chong-Yaw Wee Seong-Whan Lee Dinggang Shen Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. 277-295 2015 13 Neuroinformatics 3 https://doi.org/10.1007/s12021-014-9241-6 https://www.wikidata.org/entity/Q35748861 db/journals/ni/ni13.html#SukWLS15

Geng Chen 0001 Pei Zhang 0002 Ke Li Chong-Yaw Wee Yafeng Wu Dinggang Shen Pew-Thian Yap Block-Based Statistics for Robust Non-parametric Morphometry. 62-70 2015 Patch-MI@MICCAI https://doi.org/10.1007/978-3-319-28194-0_8 conf/miccai/2015patchmi db/conf/miccai/patchmi2015.html#ChenZLWWSY15 Yue Gao 0002 Chong-Yaw Wee Minjeong Kim 0001 Panteleimon Giannakopoulos Marie-Louise Montandon Sven Haller Dinggang Shen MCI Identification by Joint Learning on Multiple MRI Data. 78-85 2015 MICCAI (2) https://doi.org/10.1007/978-3-319-24571-3_10 https://www.wikidata.org/entity/Q57541959 conf/miccai/2015-2 db/conf/miccai/miccai2015-2.html#GaoWKGMHS15 Ehsan Adeli-Mosabbeb Chong-Yaw Wee Le An Feng Shi 0001 Dinggang Shen Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. 127-136 2015 MCV@MICCAI https://doi.org/10.1007/978-3-319-42016-5_12 conf/miccai/2015mcv db/conf/miccai/mcv2015.html#Adeli-MosabbebW15 Yan Jin 0001 Chong-Yaw Wee Feng Shi 0001 Kim-Han Thung Pew-Thian Yap Dinggang Shen Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. 170-177 2015 MLMI https://doi.org/10.1007/978-3-319-24888-2_21 https://www.wikidata.org/entity/Q87338975 conf/miccai/2015mlmi db/conf/miccai/mlmi2015.html#JinWSTYS15

Feng Liu 0035 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. 466-475 2014 84 NeuroImage https://doi.org/10.1016/j.neuroimage.2013.09.015 https://www.wikidata.org/entity/Q37361078 db/journals/neuroimage/neuroimage84.html#LiuWCS14

Kim-Han Thung Chong-Yaw Wee Pew-Thian Yap Dinggang Shen Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. 386-400 2014 91 NeuroImage https://doi.org/10.1016/j.neuroimage.2014.01.033 https://www.wikidata.org/entity/Q30746157 db/journals/neuroimage/neuroimage91.html#ThungWYS14

Yang Li 0010 Chong-Yaw Wee Biao Jie Zi-Wen Peng Dinggang Shen Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification. 455-469 2014 12 Neuroinformatics 3 https://doi.org/10.1007/s12021-014-9221-x https://www.wikidata.org/entity/Q33961851 db/journals/ni/ni12.html#LiWJPS14

Biao Jie Daoqiang Zhang Wei Gao Qian Wang 0001 Chong-Yaw Wee Dinggang Shen Integration of Network Topological and Connectivity Properties for Neuroimaging Classification. 576-589 2014 61 IEEE Trans. Biomed. Eng. 2 https://doi.org/10.1109/TBME.2013.2284195 https://www.wikidata.org/entity/Q33930504 db/journals/tbe/tbe61.html#JieZGWWS14

True Price Chong-Yaw Wee Wei Gao Dinggang Shen Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics. 177-184 2014 MICCAI (3) https://doi.org/10.1007/978-3-319-10443-0_23 https://www.wikidata.org/entity/Q85805671 conf/miccai/2014-3 db/conf/miccai/miccai2014-3.html#PriceWGS14 Dinggang Shen Chong-Yaw Wee Daoqiang Zhang Luping Zhou Pew-Thian Yap Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. 147-179 2014 Machine Learning in Healthcare Informatics https://doi.org/10.1007/978-3-642-40017-9_8 series/isrl/56 db/series/isrl/isrl56.html#ShenWZZY14 Biao Jie Daoqiang Zhang Heung-Il Suk Chong-Yaw Wee Dinggang Shen Integrating Multiple Network Properties for MCI Identification. 9-16 2013 MLMI https://doi.org/10.1007/978-3-319-02267-3_2 conf/miccai/2013mlmi db/conf/miccai/mlmi2013.html#JieZSWS13 Heung-Il Suk Chong-Yaw Wee Dinggang Shen Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification. 131-138 2013 MLMI https://doi.org/10.1007/978-3-319-02267-3_17 conf/miccai/2013mlmi db/conf/miccai/mlmi2013.html#SukWS13 Chong-Yaw Wee Sen Yang Pew-Thian Yap Dinggang Shen Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification. 139-146 2013 MLMI https://doi.org/10.1007/978-3-319-02267-3_18 conf/miccai/2013mlmi db/conf/miccai/mlmi2013.html#WeeYYS13 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. 163-170 2013 MLMI https://doi.org/10.1007/978-3-319-02267-3_21 conf/miccai/2013mlmi db/conf/miccai/mlmi2013.html#ThungWYS13 Pei Zhang 0002 Chong-Yaw Wee Marc Niethammer Dinggang Shen Pew-Thian Yap Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding. 292-299 2013 MICCAI (1) https://doi.org/10.1007/978-3-642-40811-3_37 https://www.wikidata.org/entity/Q87250243 conf/miccai/2013-1 db/conf/miccai/miccai2013-1.html#ZhangWNSY13 Feng Liu 0035 Chong-Yaw Wee Huafu Chen Dinggang Shen Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification. 308-315 2013 MICCAI (1) https://doi.org/10.1007/978-3-642-40811-3_39 https://www.wikidata.org/entity/Q87250249 conf/miccai/2013-1 db/conf/miccai/miccai2013-1.html#LiuWCS13 Feng Liu 0035 Heung-Il Suk Chong-Yaw Wee Huafu Chen Dinggang Shen High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification. 311-318 2013 MICCAI (2) https://doi.org/10.1007/978-3-642-40763-5_39 https://www.wikidata.org/entity/Q62497994 conf/miccai/2013-2 db/conf/miccai/miccai2013-2.html#LiuSWCS13 Chong-Yaw Wee Yang Li 0010 Biao Jie Zi-Wen Peng Dinggang Shen Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks. 319-327 2013 MICCAI (2) https://doi.org/10.1007/978-3-642-40763-5_40 https://www.wikidata.org/entity/Q62497990 conf/miccai/2013-2 db/conf/miccai/miccai2013-2.html#WeeLJPS13

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. 2045-2056 2012 59 NeuroImage 3 https://doi.org/10.1016/j.neuroimage.2011.10.015 https://www.wikidata.org/entity/Q35663525 db/journals/neuroimage/neuroimage59.html#WeeYZDBPWWS12

Biao Jie Daoqiang Zhang Chong-Yaw Wee Dinggang Shen Structural Feature Selection for Connectivity Network-Based MCI Diagnosis. 175-184 2012 MBIA https://doi.org/10.1007/978-3-642-33530-3_15 conf/miccai/2012mbia db/conf/miccai/mbia2012.html#JieZWS12 Yaping Wang Hongjun Jia Pew-Thian Yap Bo Cheng 0006 Chong-Yaw Wee Lei Guo 0002 Dinggang Shen Groupwise Segmentation Improves Neuroimaging Classification Accuracy. 185-193 2012 MBIA https://doi.org/10.1007/978-3-642-33530-3_16 conf/miccai/2012mbia db/conf/miccai/mbia2012.html#WangJYCWGS12 Chong-Yaw Wee Pew-Thian Yap Daoqiang Zhang Lihong Wang Dinggang Shen Constrained Sparse Functional Connectivity Networks for MCI Classification. 212-219 2012 MICCAI (2) https://doi.org/10.1007/978-3-642-33418-4_27 https://www.wikidata.org/entity/Q62498478 conf/miccai/2012-2 db/conf/miccai/miccai2012-2.html#WeeYZWS12

Chong-Yaw Wee Pew-Thian Yap Wenbin Li 0006 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. 1812-1822 2011 54 NeuroImage 3 https://doi.org/10.1016/j.neuroimage.2010.10.026 https://www.wikidata.org/entity/Q34432603 db/journals/neuroimage/neuroimage54.html#WeeYLDBPWWS11

Chong-Yaw Wee Pew-Thian Yap Daoqiang Zhang Kevin Denny Lihong Wang Dinggang Shen Identification of Individuals with MCI via Multimodality Connectivity Networks. 277-284 2011 MICCAI (2) https://doi.org/10.1007/978-3-642-23629-7_34 https://www.wikidata.org/entity/Q85086872 conf/miccai/2011-2 db/conf/miccai/miccai2011-2.html#WeeYZDWS11

Chong-Yaw Wee Paramesran Raveendran Ramakrishnan Mukundan Xudong Jiang 0001 Image quality assessment by discrete orthogonal moments. 4055-4068 2010 43 Pattern Recognit. 12 https://doi.org/10.1016/j.patcog.2010.05.026 db/journals/pr/pr43.html#WeeRMJ10

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. 140-147 2010 MLMI https://doi.org/10.1007/978-3-642-15948-0_18 conf/miccai/2010mlmi db/conf/miccai/mlmi2010.html#WeeYBPSWWS10

Chong-Yaw Wee Paramesran Raveendran Fumiaki Takeda Sorting of rice grains using Zernike moments. 353-363 2009 4 J. Real Time Image Process. 4 https://doi.org/10.1007/s11554-009-0117-1 db/journals/jrtip/jrtip4.html#WeeRT09

Chong-Yaw Wee Paramesran Raveendran R. Mukundan 0001 Fast computation of geometric moments using a symmetric kernel. 2369-2380 2008 41 Pattern Recognit. 7 https://doi.org/10.1016/j.patcog.2007.12.012 db/journals/pr/pr41.html#WeeRM08

Chong-Yaw Wee Paramesran Raveendran Measure of image sharpness using eigenvalues. 2533-2552 2007 177 Inf. Sci. 12 https://doi.org/10.1016/j.ins.2006.12.023 db/journals/isci/isci177.html#WeeR07

Chong-Yaw Wee Paramesran Raveendran On the computational aspects of Zernike moments. 967-980 2007 25 Image Vis. Comput. 6 https://doi.org/10.1016/j.imavis.2006.07.010 db/journals/ivc/ivc25.html#WeeR07

Chong-Yaw Wee Paramesran Raveendran R. Mukundan 0001 Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments. 807-812 2007 conf/iciap/2007 ICIAP https://doi.org/10.1109/ICIAP.2007.4362875 https://doi.ieeecomputersociety.org/10.1109/ICIAP.2007.104 db/conf/iciap/iciap2007.html#WeeRM07 Chong-Yaw Wee Paramesran Raveendran Fumiaki Takeda Fast Computation of Zernike Moments For Rice Sorting System. 165-168 2007 ICIP (6) https://doi.org/10.1109/ICIP.2007.4379547 conf/icip/2007 db/conf/icip/icip2007-6.html#WeeRT07

Chong-Yaw Wee Paramesran Raveendran Efficient computation of radial moment functions using symmetrical property. 2036-2046 2006 39 Pattern Recognit. 11 https://doi.org/10.1016/j.patcog.2006.05.027 db/journals/pr/pr39.html#WeeR06

Chong-Yaw Wee Paramesran Raveendran Fumiaki Takeda New computational methods for full and subset Zernike moments. 203-220 2004 159 Inf. Sci. 2 https://doi.org/10.1016/j.ins.2003.08.006 db/journals/isci/isci159.html#YawPT04

Chong-Yaw Wee Raveendran Paramesran Fumiaki Takeda Takeo Tsuzuki Hiroshi Kadota Satoshi Shimanouchi Classification of rice grains using fuzzy artmap neural network. 223-226 2002 conf/apccas/2002 APCCAS (2) https://doi.org/10.1109/APCCAS.2002.1115197 db/conf/apccas/apccas2002-2.html#WeePTTKS02 Chong-Yaw Wee Paramesran Raveendran Fumiaki Takeda Takeo Tsuzuki Hiroshi Kadota Satoshi Shimanouchi Classification of Rice Grain Using New Scale Invariant Zernike Moments. 832-835 2002 conf/jcis/2002 JCIS db/conf/jcis/jcis2002.html#YawRTTKS02 Ehsan Adeli-MosabbebEhsan Adeli 0001 Le An Leonardo Bonilha Jeffery N. Browndyke Jeffrey N. Browndyke Geng Chen 0001 Huafu Chen Bo Cheng 0006 Kevin Denny Christian Erich Elger Wei Gao Xinqiang Gao Yue Gao 0002 Panteleimon Giannakopoulos Lei Guo 0002 Sven Haller Huifang Huang Hongjun Jia Xudong Jiang 0001 Yiqiao Jiang Biao Jie Yan Jin 0001 Hiroshi Kadota Simon S. Keller Minjeong Kim 0001 Seong-Whan Lee Bai Ying LeiBaiying Lei Ke Li Wenbin Li 0006 Yang Li 0010 Feng Liu 0035 Jingyu Liu 0002 Mei-Lin Luo Marie-Louise Montandon Ramakrishnan MukundanR. Mukundan 0001 Brent C. Munsell Travis Nesland Marc Niethammer Raveendran ParamesranParamesran Raveendran Zi-Wen Peng Guy G. Potter True Price Dinggang Shen Can Sheng Feng Shi 0001 Satoshi Shimanouchi Laura Angelica Tomaz da Silva David C. Steffens Martin Styner Heung-Il Suk Fumiaki Takeda Kim-Han Thung Takeo Tsuzuki Lihong Wang Qian Wang 0001 Tao Wang Yaping Wang Bernd Weber 0001 Kathleen Welsh-Bohmer Guorong Wu 0001 Yafeng Wu Hao Yang 0032 Sen Yang Pew-Thian Yap Daoqiang Zhang Pei Zhang 0002 Luping Zhou Xiaofeng Zhu 0001