Kim Han Thung
TitleCited byYear
A survey of image quality measures
KH Thung, P Raveendran
2009 international conference for technical postgraduates (TECHPOS), 1-4, 2009
A robust deep model for improved classification of AD/MCI patients
F Li, L Tran, KH Thung, S Ji, D Shen, J Li
IEEE journal of biomedical and health informatics 19 (5), 1610-1616, 2015
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion
KH Thung, CY Wee, PT Yap, D Shen, ...
NeuroImage 91, 386-400, 2014
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest
L Huang, Y Jin, Y Gao, KH Thung, D Shen, ...
Neurobiology of aging 46, 180-191, 2016
Identification of infants at high‐risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks
Y Jin, CY Wee, F Shi, KH Thung, D Ni, PT Yap, D Shen
Human brain mapping 36 (12), 4880-4896, 2015
Content-based image quality metric using similarity measure of moment vectors
KH Thung, R Paramesran, CL Lim
Pattern Recognition 45 (6), 2193-2204, 2012
Robust deep learning for improved classification of AD/MCI patients
F Li, L Tran, KH Thung, S Ji, D Shen, J Li
International Workshop on Machine Learning in Medical Imaging, 240-247, 2014
Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans
KH Thung, CY Wee, PT Yap, D Shen
Brain Structure and Function 221 (8), 3979-3995, 2016
Fast computation of exact Zernike moments using cascaded digital filters
CL Lim, B Honarvar, KH Thung, R Paramesran
Information Sciences 181 (17), 3638-3651, 2011
A transversal approach for patch-based label fusion via matrix completion
G Sanroma, G Wu, Y Gao, KH Thung, Y Guo, D Shen
Medical image analysis 24 (1), 135-148, 2015
Selection of a subset of EEG channels using PCA to classify alcoholics and non-alcoholics
KM Ong, KH Thung, CY Wee, R Paramesran
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 4195-4198, 2006
Robust feature-sample linear discriminant analysis for brain disorders diagnosis
E Adeli-Mosabbeb, KH Thung, L An, F Shi, D Shen
Advances in Neural Information Processing Systems, 658-666, 2015
Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals
G Yu, Y Liu, KH Thung, D Shen
PloS one 9 (5), e96458, 2014
Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis
T Zhou, KH Thung, X Zhu, D Shen
Human brain mapping 40 (3), 1001-1016, 2019
Multi-view classification for identification of Alzheimer’s disease
X Zhu, HI Suk, Y Zhu, KH Thung, G Wu, D Shen
International Workshop on Machine Learning in Medical Imaging, 255-262, 2015
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion
KH Thung, PT Yap, E Adeli, SW Lee, D Shen, ...
Medical image analysis 45, 68-82, 2018
Benchmark on automatic 6-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
L Wang, D Nie, G Li, … Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ...
IEEE transactions on medical imaging, 2019
Multi-stage diagnosis of Alzheimer’s disease with incomplete multimodal data via multi-task deep learning
KH Thung, PT Yap, D Shen
Deep learning in medical image analysis and multimodal learning for clinical†…, 2017
Stability-weighted matrix completion of incomplete multi-modal data for disease diagnosis
KH Thung, E Adeli, PT Yap, D Shen
International Conference on Medical Image Computing and Computer-Assisted†…, 2016
Novel multi-atlas segmentation by matrix completion
G Sanroma, G Wu, K Thung, Y Guo, D Shen
International Workshop on Machine Learning in Medical Imaging, 207-214, 2014
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