- Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen: “Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis”, Neural Information Processing Systems (NIPS) 2015, Montral, Canada, Dec. 7-12, 2015.
- Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen: “Identification of Infants at Risk for Autism Using Multi-Parameter Hierarchical White Matter Connectomes”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015.
- Lei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen: “Soft-split Sparse Regression Based Radom Forest for Predicting Future Clinical Scores of Alzheimers Disease”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015.
- Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Guorong Wu, Dinggang Shen: “Multi-View Classification for Identification of Alzheimers Disease”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2015), Munich, Germany, Oct. 5, 2015.
- Kim-Han Thung, Ehsan Adeli-M, Pew-Thian Yap, Dinggang Shen: “Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion”, MICCAI 2015, Munich, Germany, Oct. 59, 2015.
- Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, and Jiang Li: “Robust deep learning for improved classification of AD/MCI patients”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014.
- Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, and Dinggang Shen: “Novel multi-atlas segmentation by matrix completion”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2014), Boston, USA, Sep. 14, 2014.
- Kim-Han Thung, Chong-Yaw Wee, Pew-Thian Yap, and Dinggang Shen: “Identification of Alzheimer’s Disease using incomplete multimodal dataset via matrix shrinkage and completion”, MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2013), Nagoya, Japan, Sep. 22, 2013.
- Kim-Han Thung, Siew-Cheok Ng, Chern-Loon Lim, and P. Raveendran: “A preliminary study of compression efficiency and noise robustness of orthogonal moments on medical X-Ray images”, 5th Kuala Lumpur International Conference on Biomedical Engineering 2011, IFMBE proceeding, Springer, Jun 24, 2011.
- Kim-Han Thung, and P. Raveendran: “A survey of image quality measures”, 2009 International Conference for Technical Postgraduates, TECHPOS 2009.
- Chern-Loon Lim, Kim-Han Thung, and P. Raveendran: “Edge vector based mode decision for H.264 AVC intra prediction”, First Asia International Conference on Modelling & Simulation, AMS 2007, 27-30 March 2007.
- Kok-Meng Ong, Kim-Han Thung, Chong-Yaw Wee, and P. Raveendran: “Selection of a subset of EEG Channels using PCA to classify Alcoholics and Non-alcoholics”, 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005.
- Kim-Han Thung, Kok-Meng Ong, and P. Raveendran: “A study of EEG signals associated with intended cursor movement using asymmetry ratio”, 2004 IEEE Region 10 Conference, TENCON 2004, Vol.3, 21-24 Nov. 2004.
