Early Development of Infant Brain Complex Network. - Weixiong Jiang; Han Zhang 002; Li-Ming Hsu; Dan Hu; Guoshi Li; Ye Wu 001; Dinggang Shen (MICCAI (2), 2019)

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. - Zhicheng Jiao; Pu Huang; Tae-Eui Kam; Li-Ming Hsu; Ye Wu 001; Han Zhang 002; Dinggang Shen (MICCAI (4), 2019)

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. - Tae-Eui Kam; Xuyun Wen; Bing Jin; Zhicheng Jiao; Li-Ming Hsu; Zhen Zhou; Yujie Liu; Koji Yamashita; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life. - Zhen Zhou; Han Zhang 002; Li-Ming Hsu; Weili Lin; Gang Pan 001; Dinggang Shen (MICCAI (3), 2019)

A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. - Maryam Ghanbari; Li-Ming Hsu; Zhen Zhou; Amir Ghanbari; Zhanhao Mo; Pew-Thian Yap; Han Zhang 002; Dinggang Shen (MICCAI (7), 2020)

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. - Mayssa Soussia; Xuyun Wen; Zhen Zhou; Bing Jin; Tae-Eui Kam; Li-Ming Hsu; Zhengwang Wu; Gang Li 001; Li Wang 026; Islem Rekik; Weili Lin; Dinggang Shen; et al. (MICCAI (7), 2020)

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. - Xuyun Wen; Li-Ming Hsu; Weili Lin; Han Zhang 002; Dinggang Shen (CoRR, 2020)

Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease. - Maryam Ghanbari; Zhen Zhou; Li-Ming Hsu; Ying Han; Yu Sun; Pew-Thian Yap; Han Zhang 002; Dinggang Shen (Neuroinformatics, 2022)

Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning. - Huifeng Zhang; Zhen Zhou; Lei Ding; Chuangxin Wu; Meihui Qiu; Yueqi Huang; Feng Jin; Ting Shen; Yao Yang; Li-Ming Hsu; Jinhong Wang; Han Zhang 002; et al. (IEEE J. Biomed. Health Informatics, 2022)

A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI. - Mengting Yang; Li-Ming Hsu; Shile Qi; Daoqiang Zhang; Xuyun Wen (ISBI, 2023)

Automatic Segmentation of the Cisternal Segment of Trigeminal Nerve on MRI Using Deep Learning. - Li-Ming Hsu; Shuai Wang 003; Sheng-Wei Chang; Yu-Li Lee; Jen-Tsung Yang; Ching-Po Lin; Yuan-Hsiung Tsai (Int. J. Biomed. Imaging, 2025)