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Kim‐Han Thung

Observed names: K. H. Thung, K.-H. Thung, Kim Han Thung, Kim Thung, Kim-Han Thung, Kimhan Thung, Thung, Kim-Han
ORCID: 0000-0003-1379-2185
Observed ORCID: 0000-0003-1379-2185
OpenAlex ID: A5075744244
A Robust Deep Model for Improved Classification of AD/MCI Patients
2015 · Feng Li, Loc Tran, et al. · IEEE Journal of Biomedical and Health Informatics · 298
Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis
2018 · Tao Zhou, Kim‐Han Thung, et al. · Human Brain Mapping · 270
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A brief review on multi-task learning
2018 · Kim-Han Thung, Chong-Yaw Wee · Multimedia Tools and Applications · 263
Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data
2019 · Tao Zhou, Mingxia Liu, et al. · IEEE Transactions on Medical Imaging · 227
A survey of image quality measures
2009 · Kim-Han Thung, Paramesran Raveendran · 210
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge
2019 · Li Wang, Dong Nie, et al. · IEEE Transactions on Medical Imaging · 196
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest
2016 · Lei Huang, Yan Jin, et al. · Neurobiology of Aging · 119
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Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data
2019 · Tao Zhou, Kim-Han Thung, et al. · Medical Image Analysis · 107
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion
2014 · Kim-Han Thung, Chong-Yaw Wee, et al. · NeuroImage · 95
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Identification of infants at high‐risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks
2015 · Yan Jin, Chong‐Yaw Wee, et al. · Human Brain Mapping · 93
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises
2018 · Ehsan Adeli, Kim-Han Thung, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 91
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion
2018 · Kim-Han Thung, Pew-Thian Yap, et al. · Medical Image Analysis · 89
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Multi-stage Diagnosis of Alzheimer’s Disease with Incomplete Multimodal Data via Multi-task Deep Learning
2017 · Kim-Han Thung, Pew-Thian Yap, et al. · Lecture notes in computer science · 55
Content-based image quality metric using similarity measure of moment vectors
2011 · Kim-Han Thung, Raveendran Paramesran, et al. · Pattern Recognition · 54
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model
2018 · Tao Zhou, Kim-Han Thung, et al. · IEEE Transactions on Biomedical Engineering · 53
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning
2022 · Yankun Lang, Chunfeng Lian, et al. · IEEE Transactions on Medical Imaging · 47
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images
2020 · Shujun Liang, Kim-Han Thung, et al. · IEEE Transactions on Medical Imaging · 47
Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans
2015 · Kim-Han Thung, Chong-Yaw Wee, et al. · Brain Structure and Function · 46
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Robust Deep Learning for Improved Classification of AD/MCI Patients
2014 · Feng Li, Loc Tran, et al. · Lecture notes in computer science · 46
Multi-view Classification for Identification of Alzheimer’s Disease
2015 · Xiaofeng Zhu, Heung-Il Suk, et al. · Lecture notes in computer science · 42
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures
2019 · Xu Chen, Chunfeng Lian, et al. · IEEE Transactions on Medical Imaging · 39
Selection of a Subset of EEG Channels using PCA to classify Alcoholics and Non-alcoholics
2005 · Kok-Meng Ong, K.-H. Thung, et al. · 39
Multifaceted atlases of the human brain in its infancy
2022 · Sahar Ahmad, Ye Wu, et al. · Nature Methods · 35
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Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas
2018 · Lei Chen, Han Zhang, et al. · IEEE Transactions on Medical Imaging · 32
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Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder
2021 · Feng Zhao, Xiangfei Zhang, et al. · IEEE Transactions on Biomedical Engineering · 31
Works count: 87
Citation count: 3,066
H-index: 27
I10-index: 45
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