Kim Han Thung
Geciteerd door
Geciteerd door
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
A survey of image quality measures
KH Thung, P Raveendran
2009 international conference for technical postgraduates (TECHPOS), 1-4, 2009
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
Benchmark on automatic six-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 38 (9), 2219-2230, 2019
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
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
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
A brief review on multi-task learning
KH Thung, CY Wee
Multimedia Tools and Applications 77 (22), 29705-29725, 2018
Latent representation learning for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimaging and genetic data
T Zhou, M Liu, KH Thung, D Shen
IEEE transactions on medical imaging 38 (10), 2411-2422, 2019
Semi-supervised discriminative classification robust to sample-outliers and feature-noises
E Adeli, KH Thung, L An, G Wu, F Shi, T Wang, D Shen
IEEE transactions on pattern analysis and machine intelligence 41 (2), 515-522, 2018
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
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
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
Brain-wide genome-wide association study for Alzheimer's disease via joint projection learning and sparse regression model
T Zhou, KH Thung, M Liu, D Shen
IEEE Transactions on Biomedical Engineering 66 (1), 165-175, 2018
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
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
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
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data
T Zhou, KH Thung, M Liu, F Shi, C Zhang, D Shen
Medical image analysis 60, 101630, 2020
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
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Artikelen 1–20