Edge Vector Based Mode Decision for H.264/AVC Intra Prediction. - Chern-Loon Lim; Kim-Han Thung; P. Raveendran 001 (Asia International Conference on Modelling and Simulation, 2007)

Fast computation of exact Zernike moments using cascaded digital filters. - Chern-Loon Lim; Barmak Honarvar; Kim-Han Thung; Paramesran Raveendran (Inf. Sci., 2011)

Content-based image quality metric using similarity measure of moment vectors. - Kim-Han Thung; Paramesran Raveendran; Chern-Loon Lim (Pattern Recognit., 2012)

Plain, edge, texture (PET) block classifier using Tchebichef moments and SVM. - Chern-Loon Lim; Kim-Han Thung; Yong-Poh Yu; Siaw-Lang Wong; Paramesran Raveendran (ISPACS, 2013)

Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion. - Kim-Han Thung; Chong-Yaw Wee; Pew-Thian Yap; Dinggang Shen (MLMI, 2013)

Robust Deep Learning for Improved Classification of AD/MCI Patients. - Feng Li 039; Loc Tran; Kim-Han Thung; Shuiwang Ji; Dinggang Shen; Jiang Li 001 (MLMI, 2014)

Novel Multi-Atlas Segmentation by Matrix Completion. - Gerard Sanroma; Guorong Wu 001; Kim-Han Thung; Yanrong Guo; Dinggang Shen (MLMI, 2014)

Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. - Kim-Han Thung; Chong-Yaw Wee; Pew-Thian Yap; Dinggang Shen (NeuroImage, 2014)

Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. - Lei Huang; Yaozong Gao; Yan Jin 001; Kim-Han Thung; Dinggang Shen (MLMI, 2015)

Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. - Yan Jin 001; Chong-Yaw Wee; Feng Shi 001; Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (MLMI, 2015)

Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion. - Kim-Han Thung; Pew-Thian Yap; Ehsan Adeli-Mosabbeb; Dinggang Shen (MICCAI (3), 2015)

Multi-view Classification for Identification of Alzheimer's Disease. - Xiaofeng Zhu 001; Heung-Il Suk; Yonghua Zhu; Kim-Han Thung; Guorong Wu 001; Dinggang Shen (MLMI, 2015)

Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis. - Ehsan Adeli-Mosabbeb; Kim-Han Thung; Le An; Feng Shi 001; Dinggang Shen (NIPS, 2015)

A transversal approach for patch-based label fusion via matrix completion. - Gerard Sanroma; Guorong Wu 001; Yaozong Gao; Kim-Han Thung; Yanrong Guo; Dinggang Shen (Medical Image Anal., 2015)

A Robust Deep Model for Improved Classification of AD/MCI Patients. - Feng Li 039; Loc Tran; Kim-Han Thung; Shuiwang Ji; Dinggang Shen; Jiang Li 001 (IEEE J. Biomed. Health Informatics, 2015)

Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis. - Kim-Han Thung; Ehsan Adeli 001; Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2016)

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. - Xiaofeng Zhu 001; Heung-Il Suk; Kim-Han Thung; Yingying Zhu 004; Guorong Wu 001; Dinggang Shen (MLMI@MICCAI, 2016)

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. - Xiaofeng Zhu 001; Kim-Han Thung; Jun Zhang 018; Dinggang Shen (MLMI@MICCAI, 2016)

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. - Lei Chen 011; Han Zhang 002; Kim-Han Thung; Luyan Liu; Junfeng Lu; Jinsong Wu 002; Qian Wang 001; Dinggang Shen (MICCAI (2), 2017)

Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning. - Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (DLMIA/ML-CDS@MICCAI, 2017)

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis. - Tao Zhou 002; Kim-Han Thung; Xiaofeng Zhu 001; Dinggang Shen (MLMI@MICCAI, 2017)

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. - Xiaofeng Zhu 001; Kim-Han Thung; Ehsan Adeli 001; Yu Zhang 009; Dinggang Shen (MICCAI (3), 2017)

Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data. - Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (PRIME@MICCAI, 2018)

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. - Tao Zhou 002; Kim-Han Thung; Mingxia Liu 001; Feng Shi 001; Changqing Zhang; Dinggang Shen (PRIME@MICCAI, 2018)

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. - Kim-Han Thung; Pew-Thian Yap; Ehsan Adeli 001; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

A brief review on multi-task learning. - Kim-Han Thung; Chong-Yaw Wee (Multim. Tools Appl., 2018)

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. - Lei Chen 011; Han Zhang 002; Junfeng Lu; Kim-Han Thung; Abudumijiti Aibaidula; Luyan Liu; Songcan Chen; Lei Jin 006; Jinsong Wu 002; Qian Wang 001; LiangFu Zhou; Dinggang Shen (IEEE Trans. Medical Imaging, 2018)

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. - Tao Zhou 002; Kim-Han Thung; Yu Zhang 009; Huazhu Fu; Jianbing Shen; Dinggang Shen; Ling Shao 001 (MICCAI (4), 2019)

CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. - Jian Chen; Zhenghan Fang; Deqiang Xiao; Duc Toan Bui 001; Kim-Han Thung; Xianjun Li; Jian Yang 009; Weili Lin; Gang Li 001; Dinggang Shen; Li Wang 026 (GLMI@MICCAI, 2019)

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Geng Chen 001; Kim-Han Thung; Haiyong Wu; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2019)

Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Kim-Han Thung; Geng Chen 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2019)

Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. - Yankun Lang; Li Wang 026; Pew-Thian Yap; Chunfeng Lian; Hannah H. Deng; Kim-Han Thung; Deqiang Xiao; Peng Yuan 001; Steve Guo-Fang Shen; Jaime Gateno; Tianshu Kuang; David M. Alfi; et al. (GLMI@MICCAI, 2019)

Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (MICCAI (3), 2019)

Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. - Deqiang Xiao; Li Wang 026; Hannah H. Deng; Kim-Han Thung; Jihua Zhu; Peng Yuan 001; Yriu L. Rodrigues; Leonel Perez Jr.; Christopher E. Crecelius; Jaime Gateno; Tiansku Kuang; Steve Guo-Fang Shen; et al. (MICCAI (5), 2019)

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. - Ehsan Adeli 001; Kim-Han Thung; Le An; Guorong Wu 001; Feng Shi 001; Tao Wang; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model. - Tao Zhou 002; Kim-Han Thung; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. - Li Wang 026; Dong Nie; Guannan Li; Élodie Puybareau; Jose Dolz; Qian Zhang 066; Fan Wang 023; Jing Xia; Zhengwang Wu; Jiawei Chen 001; Kim-Han Thung; Toan Duc Bui; et al. (IEEE Trans. Medical Imaging, 2019)

Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data. - Tao Zhou 002; Mingxia Liu 001; Kim-Han Thung; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Low-rank hypergraph feature selection for multi-output regression. - Xiaofeng Zhu 001; Rongyao Hu; Cong Lei; Kim-Han Thung; Wei Zheng; Can Wang 004 (World Wide Web, 2019)

Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. - Sahar Ahmad; Ye Wu 001; Khoi Minh Huynh; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (2), 2020)

Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. - Khoi Minh Huynh; Ye Wu 001; Kim-Han Thung; Sahar Ahmad; Hoyt Patrick Taylor IV; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. - Tao Zhou 002; Kim-Han Thung; Mingxia Liu 001; Feng Shi 001; Changqing Zhang; Dinggang Shen (Medical Image Anal., 2020)

Editorial special issue on multiple-task learning for big data. - Yingying Zhu 004; Qing Xie 002; Kim-Han Thung (Pattern Recognit. Lett., 2020)

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2020)

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. - Xu Chen 020; James J. Xia; Dinggang Shen; Chunfeng Lian; Li Wang 026; Hannah H. Deng; Steve H. Fung; Dong Nie; Kim-Han Thung; Pew-Thian Yap; Jaime Gateno (IEEE Trans. Medical Imaging, 2020)

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images. - Shujun Liang; Kim-Han Thung; Dong Nie; Yu Zhang 064; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Code used in article "Learning MRI artefact removal with unpaired data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Code used in article "Learning MRI Artefact Removal With Unpaired Data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Code used in article "Learning MRI artefact removal with unpaired data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24 shells diffusion MRI. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap (MICCAI (7), 2021)

Privacy-preserving Multimedia Data Analysis. - Xiaofeng Zhu 001; Kim-Han Thung; Minjeong Kim (Comput. J., 2021)

Learning MRI Artifact Removal With Unpaired Data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 2021)

Learning MRI artefact removal with unpaired data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Nat. Mach. Intell., 2021)

Publisher Correction: Learning MRI artefact removal with unpaired data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Nat. Mach. Intell., 2021)

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. - Deqiang Xiao; Chunfeng Lian; Li Wang 026; Hannah H. Deng; Hung-Ying Lin; Kim-Han Thung; Jihua Zhu; Peng Yuan 001; Leonel Perez Jr.; Jaime Gateno; Steve Guo-Fang Shen; Pew-Thian Yap; et al. (IEEE Trans. Biomed. Eng., 2021)

Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. - Yinghuan Shi; Wanqi Yang; Kim-Han Thung; Hao Wang 013; Yang Gao 001; Yang Pan; Li Zhang; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2021)

Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder. - Feng Zhao 006; Xiangfei Zhang; Kim-Han Thung; Ning Mao; Seong-Whan Lee; Dinggang Shen (IEEE Trans. Biomed. Eng., 2022)

Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. - Yankun Lang; Chunfeng Lian; Deqiang Xiao; Han Deng 001; Kim-Han Thung; Peng Yuan 001; Jaime Gateno; Tianshu Kuang; David M. Alfi; Li Wang 026; Dinggang Shen; James J. Xia; et al. (IEEE Trans. Medical Imaging, 2022)

Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning. - Xiaoyang Chen; Jinjian Wu; Wenjiao Lyu; Yicheng Zou; Kim-Han Thung; Siyuan Liu 004; Ye Wu 001; Sahar Ahmad; Pew-Thian Yap (CoRR, 2023)

Development of Effective Connectome from Infancy to Adolescence. - Guoshi Li; Kim-Han Thung; Hoyt Patrick Taylor; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Sahar Ahmad; Pew-Thian Yap (MICCAI (3), 2024)