Kim-Han Thung

发表

Multi-view Classification for Identification of Alzheimer's Disease

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2015, MLMI.

Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease

Lei Huang, Yaozong Gao, Dinggang Shen, 2015, MLMI.

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction

Ling Shao, Huazhu Fu, Kim-Han Thung, 2019, MICCAI.

Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts

Kim-Han Thung, Dinggang Shen, Weili Lin, 2020, MICCAI.

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients

Dinggang Shen, Qian Wang, Kim-Han Thung, 2017, MICCAI.

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects

Kim-Han Thung, Chunfeng Lian, Jaime Gateno, 2020, IEEE Transactions on Biomedical Engineering.

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments

Kim-Han Thung, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

A survey of image quality measures

Kim-Han Thung, Paramesran Raveendran, K. Thung, 2009, 2009 International Conference for Technical Postgraduates (TECHPOS).

Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data

Dinggang Shen, Kim-Han Thung, Mingxia Liu, 2019, IEEE Transactions on Medical Imaging.

Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments

Kim-Han Thung, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes

Dinggang Shen, Kim-Han Thung, Feng Shi, 2015, MLMI.

Edge Vector Based Mode Decision for H.264/AVC Intra Prediction

Kim-Han Thung, Raveendran Paramesran, Chern-Loon Lim, 2007, First Asia International Conference on Modelling & Simulation (AMS'07).

Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest

Yaozong Gao, Lei Huang, Kim-Han Thung, 2016, Neurobiology of Aging.

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis

Dinggang Shen, Kim-Han Thung, Feng Shi, 2018, PRIME@MICCAI.

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises

Tao Wang, Ehsan Adeli, Kim-Han Thung, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A brief review on multi-task learning

Kim-Han Thung, Chong-Yaw Wee, Chong-Yaw Wee, 2018, Multimedia Tools and Applications.

Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI with Limited and Noisy Annotations

Kim-Han Thung, Siyuan Liu, Dinggang Shen, 2020, IEEE Transactions on Medical Imaging.

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data

Dinggang Shen, Yu Zhang, Xiaofeng Zhu, 2017, MICCAI.

Multi-Task Linear Programming Discriminant Analysis for the Identification of Progressive MCI Individuals

Dinggang Shen, Kim-Han Thung, Guan Yu, 2014, PloS one.

Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging

Kim-Han Thung, Dinggang Shen, Ye Wu, 2020, MICCAI.

Plain, edge, texture (PET) block classifier using Tchebichef moments and SVM

Kim-Han Thung, Raveendran Paramesran, Chern-Loon Lim, 2013, 2013 International Symposium on Intelligent Signal Processing and Communication Systems.

Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis

Dinggang Shen, Xiaofeng Zhu, Kim-Han Thung, 2018, Human brain mapping.

Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis

Dinggang Shen, Ehsan Adeli, Kim-Han Thung, 2016, MICCAI.

Fast computation of exact Zernike moments using cascaded digital filters

Kim-Han Thung, Barmak Honarvar, Raveendran Paramesran, 2011, Inf. Sci..

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis

Dinggang Shen, Xiaofeng Zhu, Kim-Han Thung, 2017, MLMI@MICCAI.

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures

Kim-Han Thung, Chunfeng Lian, Xu Chen, 2020, IEEE Transactions on Medical Imaging.

Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion

Kim-Han Thung, Dinggang Shen, Pew-Thian Yap, 2015, MICCAI.

Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects

Li Wang, Jihua Zhu, Kim-Han Thung, 2019, MICCAI.

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging

Kim-Han Thung, Pew-Thian Yap, Ye Wu, 2019, IEEE Transactions on Medical Imaging.

CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets

Kim-Han Thung, Dinggang Shen, Jian Yang, 2019, GLMI@MICCAI.

Robust Deep Learning for Improved Classification of AD/MCI Patients

Dinggang Shen, Jiang Li, Feng Li, 2014, MLMI.

Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN

Kim-Han Thung, Chunfeng Lian, Jaime Gateno, 2019, GLMI@MICCAI.

Conversion and time‐to‐conversion predictions of mild cognitive impairment using low‐rank affinity pursuit denoising and matrix completion

Dinggang Shen, Ehsan Adeli, Kim-Han Thung, 2018, Medical Image Anal..

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis

Dinggang Shen, Xiaofeng Zhu, Jun Zhang, 2016, MLMI@MICCAI.

Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model

Dinggang Shen, Kim-Han Thung, Mingxia Liu, 2019, IEEE Transactions on Biomedical Engineering.

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks

Dinggang Shen, Siyuan Liu, Kim-Han Thung, 2019, IEEE Transactions on Image Processing.

Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2017, DLMIA/ML-CDS@MICCAI.

Low-rank hypergraph feature selection for multi-output regression

Xiaofeng Zhu, Wei Zheng, Kim-Han Thung, 2017, World wide web (Bussum).

Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks

Kim-Han Thung, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Gang Li, Dinggang Shen, Guoyan Zheng, 2019, IEEE Transactions on Medical Imaging.

Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2014, NeuroImage.

Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis

Kim-Han Thung, Dinggang Shen, Le An, 2015, NIPS.

Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2013, MLMI.

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2016, MLMI@MICCAI.

Content-based image quality metric using similarity measure of moment vectors

Kim-Han Thung, Raveendran Paramesran, Chern-Loon Lim, 2012, Pattern Recognit..

Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2018, PRIME@MICCAI.

A transversal approach for patch-based label fusion via matrix completion

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2015, Medical Image Anal..

A Robust Deep Model for Improved Classification of AD/MCI Patients

Dinggang Shen, Jiang Li, Feng Li, 2015, IEEE Journal of Biomedical and Health Informatics.

Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images

Yu Zhang, Kim-Han Thung, Dong Nie, 2020, IEEE Transactions on Medical Imaging.

Novel Multi-Atlas Segmentation by Matrix Completion

Dinggang Shen, Yanrong Guo, Kim-Han Thung, 2014, MLMI.

A study of EEG signals associated with intended cursor movement using asymmetry ratio

Kim-Han Thung, R. Paramesran, Kok-Meng Ong, 2004, 2004 IEEE Region 10 Conference TENCON 2004..

Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation

Kim-Han Thung, Pew-Thian Yap, Siyuan Liu, 2021, MICCAI.

Privacy-preserving Multimedia Data Analysis

Kim-Han Thung, Xiaofeng Zhu, Minjeong Kim, 2021, Comput. J..

Publisher Correction: Learning MRI artefact removal with unpaired data

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2021, Nat. Mach. Intell..

Learning MRI artefact removal with unpaired data

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2021, Nat. Mach. Intell..

Sparse Dictionary Learning for 3D Craniomaxillofacial Skeleton Estimation Based on 2D Face Photographs

Dinggang Shen, Kim-Han Thung, Chunfeng Lian, 2021, Machine Learning in Dentistry.