Kim-Han Thung

发表

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.

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.

Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis

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

Identification of infants at high‐risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks

D. Shen, F. Shi, P. Yap, 2015, Human brain mapping.

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

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

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

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

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas

Dinggang Shen, Lei Chen, Luyan Liu, 2018, IEEE Transactions on Medical Imaging.

Dynamic neural circuit disruptions associated with antisocial behaviors

D. Hu, D. Shen, P. Yap, 2020, Human brain mapping.

Multifaceted atlases of the human brain in its infancy

Gang Li, P. Yap, Zhengwang Wu, 2022, bioRxiv.

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

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

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.

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..

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.

A survey of image quality measures

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

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.

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.

Robust Deep Learning for Improved Classification of AD/MCI Patients

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

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.

Learning MRI artefact removal with unpaired data

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

Identification of progressive mild cognitive impairment patients using incomplete longitudinal MRI scans

D. Shen, P. Yap, Chong-Yaw Wee, 2015, Brain Structure and Function.

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

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

A brief review on multi-task learning

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

Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective

Yinghuan Shi, Hao Wang, Wanqi Yang, 2020, IEEE Journal of Biomedical and Health Informatics.

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.

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..

A brief review on multi-task learning

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

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

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

Novel Multi-Atlas Segmentation by Matrix Completion

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

Low-rank hypergraph feature selection for multi-output regression

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

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.

Low-rank hypergraph feature selection for multi-output regression

Xiaofeng Zhu, Rongyao Hu, Wei Zheng, 2019, World Wide Web.

Multi-view Classification for Identification of Alzheimer's Disease

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

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.

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction

Ling Shao, Huazhu Fu, 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.

Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning

D. Shen, P. Yap, K. Thung, 2022, IEEE Transactions on Medical Imaging.

Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data

Feng Shi, Dinggang Shen, Mingxia Liu, 2019, Medical Image Anal..

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

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

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

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

Fast computation of exact Zernike moments using cascaded digital filters

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

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

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

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.

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.

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.

Privacy-preserving Multimedia Data Analysis

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

Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder

Seong-Whan Lee, D. Shen, N. Mao, 2021, IEEE Transactions on Biomedical Engineering.

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

D. Shen, P. Yap, Chong-Yaw Wee, 2014, NeuroImage.

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

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

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

Ismail Ben Ayed, Vladimir S Fonov, J. Pluim, 2019, IEEE Transactions on Medical Imaging.

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects

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

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

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

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.

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

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

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

D. Shen, P. Yap, E. Adeli, 2016, MICCAI.

Functional Hierarchy of the Human Neocortex from Cradle to Grave

Khoi Minh Huynh, P. Yap, Sahar Ahmad, 2024, bioRxiv.