Adaptive Spatial Information Clustering for Image Segmentation. - Zhimin Wang; Qing Song 001; Yeng Chai Soh; XuLei Yang; Kang Sim (IJCNN, 2006)

Image clustering by incorporating adaptive spatial connectivity. - Zhimin Wang; Qing Song 001; Yeng Chai Soh; Kang Sim (ICARCV, 2008)

Improved Adaptive Spatial Information Clustering for Image Segmentation. - Zhimin Wang; Qing Song 001; Yeng Chai Soh; Kang Sim (ISVC (1), 2008)

Combined analyses of thalamic volume, shape and white matter integrity in first-episode schizophrenia. - Anqi Qiu; Jidan Zhong; Steven Graham; Ming Ying Chia; Kang Sim (NeuroImage, 2009)

Adaptive spatial information-theoretic clustering for image segmentation. - Zhimin Wang; Yeng Chai Soh; Qing Song 001; Kang Sim (Pattern Recognit., 2009)

A Robust Information Fuzzy Clustering Algorithm for Medical Image Segmentation. - Zhimin Wang; Qing Song 001; Yeng Chai Soh; Kang Sim (GrC, 2010)

Hippocampal-cortical structural connectivity disruptions in schizophrenia: An integrated perspective from hippocampal shape, cortical thickness, and integrity of white matter bundles. - Anqi Qiu; Ta Anh Tuan; Puay San Woon; Muhammad Farid Abdul-Rahman; Steven Graham; Kang Sim (NeuroImage, 2010)

Robust Curve Clustering Based on a Multivariate t -Distribution Model. - Zhimin Wang; Qing Song 001; Yeng Chai Soh; Kang Sim (IEEE Trans. Neural Networks, 2010)

Use of normative distribution of gray to white matter ratio in orthogonal planes in human brain studies and computer-assisted neuroradiology. - Wieslaw L. Nowinski; Varsha Gupta; Wai Yen Chan; Yih-Yian Sitoh; Kang Sim (Int. J. Comput. Assist. Radiol. Surg., 2011)

Structural connectivity analysis reveals topological aberrations in patients with schizophrenia. - Yu Sun 014; Renick Lee; Kaiquan Shen; Anastasios Bezerianos; Nitish V. Thakor; Kang Sim (EMBC, 2013)

An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation. - Zhimin Wang; Qing Song 001; Yeng Chai Soh; Kang Sim (Comput. Vis. Image Underst., 2013)

Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls. - Mengjiao Hu; Kang Sim; Juan Helen Zhou; Xudong Jiang 001; Cuntai Guan (EMBC, 2020)

Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition. - Mengjiao Hu; Xudong Jiang 001; Kang Sim; Juan Helen Zhou; Cuntai Guan (CoRR, 2022)

Inferring the Individual Psychopathologic Deficits With Structural Connectivity in a Longitudinal Cohort of Schizophrenia. - Yi Sun 008; Zhe Zhang 029; Ioannis Kakkos; George K. Matsopoulos; Jingjia Yuan; John Suckling; Luoyi Xu; Shuxia Cao; Wenjuan Chen; Xingyue Hu; Tao Li; Kang Sim; et al. (IEEE J. Biomed. Health Informatics, 2022)

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. - Vladimir Belov; Tracy Erwin-Grabner; Ling-Li Zeng; Christopher R. K. Ching; André Aleman; Alyssa R. Amod; Zeynep Basgoze; Francesco Benedetti; Bianca Besteher; Katharina Brosch; Robin Bülow; Romain Colle; et al. (CoRR, 2023)