| 2024 | MICCAI | Development of Effective Connectome from Infancy to Adolescence. | Guoshi Li, Kim-Han Thung, Hoyt Patrick Taylor, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap |
| 2021 | MICCAI | Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. | Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap |
| 2020 | MICCAI | Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. | Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging. | Khoi Minh Huynh, Ye Wu, Kim-Han Thung, Sahar Ahmad, Hoyt Patrick Taylor IV, Dinggang Shen, Pew-Thian Yap |
| 2019 | MICCAI | Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. | Tao Zhou, Kim-Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao |
| 2019 | MICCAI | CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. | 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 | MICCAI | Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. | Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2019 | MICCAI | Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. | Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2019 | MICCAI | Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. | 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 | MICCAI | Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. | Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen |
| 2019 | MICCAI | Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. | 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 |
| 2018 | MICCAI | Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data. | Kim-Han Thung, Pew-Thian Yap, Dinggang Shen |
| 2018 | MICCAI | Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. | Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen |
| 2017 | MICCAI | Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. | Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning. | Kim-Han Thung, Pew-Thian Yap, Dinggang Shen |
| 2017 | MICCAI | Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis. | Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen |
| 2017 | MICCAI | Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data. | Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen |
| 2016 | MICCAI | Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis. | Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen |
| 2016 | MICCAI | Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. | Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. | Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen |
| 2015 | MICCAI | Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease. | Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen |
| 2015 | MICCAI | Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. | Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen |
| 2015 | MICCAI | 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 |
| 2015 | MICCAI | Multi-view Classification for Identification of Alzheimer's Disease. | Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen |
| 2014 | MICCAI | Robust Deep Learning for Improved Classification of AD/MCI Patients. | Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li |
| 2014 | MICCAI | Novel Multi-Atlas Segmentation by Matrix Completion. | Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen |
| 2013 | MICCAI | 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 |