Kim-Han Thung - RankMe

61 papers Journal 31Unranked 30

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Development of Effective Connectome from Infancy to Adolescence. MICCAI (3) Guoshi Li, Kim-Han Thung, Hoyt Patrick Taylor, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap
2023	J	`jnl`	Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning. CoRR Xiaoyang Chen, Jinjian Wu, Wenjiao Lyu, Yicheng Zou, Kim-Han Thung, Siyuan Liu, Ye Wu, Sahar Ahmad, Pew-Thian Yap
2022	J	`jnl`	Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder. IEEE Trans. Biomed. Eng. Feng Zhao, Xiangfei Zhang, Kim-Han Thung, Ning Mao, Seong-Whan Lee, Dinggang Shen
2022	J	`jnl`	Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. IEEE Trans. Medical Imaging Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Kim-Han Thung, Peng Yuan, Jaime Gateno, Tianshu Kuang, David M. Alfi, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap
2021	J	`jnl`	Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. IEEE Trans. Biomed. Eng. Deqiang Xiao, Chunfeng Lian, Li Wang, Hannah H. Deng, Hung-Ying Lin, Kim-Han Thung, Jihua Zhu, Peng Yuan, Leonel Perez Jr., Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen
2021	J	`jnl`	Learning MRI Artifact Removal With Unpaired Data. CoRR Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
2021	J	`jnl`	Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
2021	J	`jnl`	Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. IEEE J. Biomed. Health Informatics Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen
2021	—	`conf`	Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. MICCAI (7) Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap
2021	J	`jnl`	Privacy-preserving Multimedia Data Analysis. Comput. J. Xiaofeng Zhu, Kim-Han Thung, Minjeong Kim
2021	J	`jnl`	Publisher Correction: Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap
2020	—	`conf`	Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. MICCAI (7) Khoi Minh Huynh, Ye Wu, Kim-Han Thung, Sahar Ahmad, Hoyt Patrick Taylor IV, Dinggang Shen, Pew-Thian Yap
2020	J	`jnl`	Editorial special issue on multiple-task learning for big data. Pattern Recognit. Lett. Yingying Zhu, Qing Xie, Kim-Han Thung
2020	—	`conf`	Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. MICCAI (2) Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap
2020	J	`jnl`	Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations. IEEE Trans. Medical Imaging Siyuan Liu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap
2020	J	`jnl`	Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective. CoRR Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen
2020	J	`jnl`	Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images. IEEE Trans. Medical Imaging Shujun Liang, Kim-Han Thung, Dong Nie, Yu Zhang, Dinggang Shen
2020	J	`jnl`	Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2020	J	`jnl`	One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno
2020	J	`jnl`	Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. IEEE Trans. Medical Imaging Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap
2020	J	`jnl`	Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. IEEE Trans. Image Process. Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen
2019	—	`conf`	Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. GLMI@MICCAI Yankun Lang, Li Wang, Pew-Thian Yap, Chunfeng Lian, Hannah H. Deng, Kim-Han Thung, Deqiang Xiao, Peng Yuan, Steve Guo-Fang Shen, Jaime Gateno, Tianshu Kuang, David M. Alfi, James J. Xia, Dinggang Shen
2019	J	`jnl`	Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen
2019	J	`jnl`	Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model. IEEE Trans. Biomed. Eng. Tao Zhou, Kim-Han Thung, Mingxia Liu, Dinggang Shen
2019	—	`conf`	CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. GLMI@MICCAI Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen, Li Wang
2019	—	`conf`	Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. MICCAI (3) Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap
2019	—	`conf`	Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. MICCAI (5) Deqiang Xiao, Li Wang, Hannah H. Deng, Kim-Han Thung, Jihua Zhu, Peng Yuan, Yriu L. Rodrigues, Leonel Perez Jr., Christopher E. Crecelius, Jaime Gateno, Tiansku Kuang, Steve Guo-Fang Shen, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen
2019	—	`conf`	Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. MICCAI (4) Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao
2019	J	`jnl`	Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data. IEEE Trans. Medical Imaging Tao Zhou, Mingxia Liu, Kim-Han Thung, Dinggang Shen
2019	J	`jnl`	Low-rank hypergraph feature selection for multi-output regression. World Wide Web Xiaofeng Zhu, Rongyao Hu, Cong Lei, Kim-Han Thung, Wei Zheng, Can Wang
2019	—	`conf`	Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. MICCAI (3) Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen
2019	—	`conf`	Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. MICCAI (3) Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap
2019	J	`jnl`	Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. CoRR Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen
2019	J	`jnl`	Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. IEEE Trans. Pattern Anal. Mach. Intell. Ehsan Adeli, Kim-Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, Dinggang Shen
2018	J	`jnl`	A brief review on multi-task learning. Multim. Tools Appl. Kim-Han Thung, Chong-Yaw Wee
2018	J	`jnl`	Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion. Medical Image Anal. Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli, Seong-Whan Lee, Dinggang Shen
2018	—	`conf`	Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data. PRIME@MICCAI Kim-Han Thung, Pew-Thian Yap, Dinggang Shen
2018	J	`jnl`	Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. IEEE Trans. Medical Imaging Lei Chen, Han Zhang, Junfeng Lu, Kim-Han Thung, Abudumijiti Aibaidula, Luyan Liu, Songcan Chen, Lei Jin, Jinsong Wu, Qian Wang, LiangFu Zhou, Dinggang Shen
2018	—	`conf`	Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. PRIME@MICCAI Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2017	—	`conf`	Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis. MLMI@MICCAI Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen
2017	—	`conf`	Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. MICCAI (3) Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen
2017	—	`conf`	Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. MICCAI (2) Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen
2017	—	`conf`	Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning. DLMIA/ML-CDS@MICCAI Kim-Han Thung, Pew-Thian Yap, Dinggang Shen
2016	—	`conf`	Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. MLMI@MICCAI Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen
2016	—	`conf`	Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. MLMI@MICCAI Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen
2016	—	`conf`	Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis. MICCAI (2) Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen
2015	J	`jnl`	A Robust Deep Model for Improved Classification of AD/MCI Patients. IEEE J. Biomed. Health Informatics Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li
2015	J	`jnl`	A transversal approach for patch-based label fusion via matrix completion. Medical Image Anal. Gerard Sanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo, Dinggang Shen
2015	—	`conf`	Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. MLMI Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen
2015	—	`conf`	Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion. MICCAI (3) Kim-Han Thung, Pew-Thian Yap, Ehsan Adeli-Mosabbeb, Dinggang Shen
2015	—	`conf`	Multi-view Classification for Identification of Alzheimer's Disease. MLMI Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen
2015	—	`conf`	Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis. NIPS Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen
2015	—	`conf`	Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. MLMI Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen
2014	J	`jnl`	Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion. NeuroImage Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen
2014	—	`conf`	Novel Multi-Atlas Segmentation by Matrix Completion. MLMI Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen
2014	—	`conf`	Robust Deep Learning for Improved Classification of AD/MCI Patients. MLMI Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li
2013	—	`conf`	Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion. MLMI Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, Dinggang Shen
2013	—	`conf`	Plain, edge, texture (PET) block classifier using Tchebichef moments and SVM. ISPACS Chern-Loon Lim, Kim-Han Thung, Yong-Poh Yu, Siaw-Lang Wong, Paramesran Raveendran
2012	J	`jnl`	Content-based image quality metric using similarity measure of moment vectors. Pattern Recognit. Kim-Han Thung, Paramesran Raveendran, Chern-Loon Lim
2011	J	`jnl`	Fast computation of exact Zernike moments using cascaded digital filters. Inf. Sci. Chern-Loon Lim, Barmak Honarvar, Kim-Han Thung, Paramesran Raveendran
2007	—	`conf`	Edge Vector Based Mode Decision for H.264/AVC Intra Prediction. Asia International Conference on Modelling and Simulation Chern-Loon Lim, Kim-Han Thung, P. Raveendran