Generation of the Probabilistic Template of Default Mode Network Derived from Resting-State fMRI. - Defeng Wang; You-Yong Kong; Winnie C. W. Chu; Cindy W. C. Tam; Linda C. W. Lam; Yilong Wang; Georg Northoff; Vincent C. T. Mok; Yongjun Wang; Lin Shi 001 (IEEE Trans. Biomed. Eng., 2014)

Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features. - Qi Dou 001; Hao Chen 011; Lequan Yu; Lin Shi 001; Defeng Wang; Vincent C. T. Mok; Pheng-Ann Heng (EMBC, 2015)

Automatic detection of cerebral microbleeds via deep learning based 3D feature representation. - Hao Chen 011; Lequan Yu; Qi Dou 001; Lin Shi 001; Vincent C. T. Mok; Pheng-Ann Heng (ISBI, 2015)

An Ensemble Approach for Record Matching in Data Linkage. - Simon K. Poon; Josiah Poon; Mary K. Lam; Qinglan Yin; Daniel Man-yuen Sze; Justin C. Y. Wu; Vincent C. T. Mok; Jessica Y. L. Ching; Kam-Leung Chan; William H. N. Cheung; Alexander Y. Lau (HIC, 2016)

Tractography atlas-based spatial statistics: Statistical analysis of diffusion tensor image along fiber pathways. - Defeng Wang; Yishan Luo; Vincent C. T. Mok; Winnie C. W. Chu; Lin Shi 001 (NeuroImage, 2016)

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks. - Qi Dou 001; Hao Chen 011; Lequan Yu; Lei Zhao 003; Jing Qin 001; Defeng Wang; Vincent C. T. Mok; Lin Shi 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2016)

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images. - Hao Chen 011; Qi Dou 001; Lequan Yu; Jing Qin 001; Lei Zhao 003; Vincent C. T. Mok; Defeng Wang; Lin Shi 001; Pheng-Ann Heng (Deep Learning for Medical Image Analysis, 2017)

Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets. - Rongzhao Zhang; Lei Zhao 003; Wutao Lou; Jill M. Abrigo; Vincent C. T. Mok; Winnie C. W. Chu; Defeng Wang; Lin Shi 001 (IEEE Trans. Medical Imaging, 2018)

Comparison of Feature Selection Methods and Machine Learning Classifiers for Radiomics Analysis in Glioma Grading. - Pan Sun; Defeng Wang; Vincent C. T. Mok; Lin Shi 001 (IEEE Access, 2019)

Neural evidence for long-term marriage shaping the functional brain network organization between couples. - Lin Shi 001; Wutao Lou; Adrian Wong; Fan Zhang 085; Jill M. Abrigo; Winnie C. W. Chu; Timothy C. Y. Kwok; Kelvin Kian Loong Wong; Derek Abbott; Defeng Wang; Vincent C. T. Mok (NeuroImage, 2019)

Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic. - Nan Ji; Ting Xiang; Paolo Bonato; Nigel H. Lovell; Sze-Yuan Ooi; David A. Clifton; Metin Akay; Xiao-Rong Ding; Bryan P. Yan; Vincent C. T. Mok; Dimitrios I. Fotiadis; Yuan-Ting Zhang (IEEE J. Biomed. Health Informatics, 2021)

Automated brain volumetric measures with AccuBrain: version comparison in accuracy, reproducibility and application for diagnosis. - Lei Zhao 003; Yishan Luo; Vincent C. T. Mok; Lin Shi 001 (BMC Medical Imaging, 2022)

Integrated and Enhanced Pipeline System to Support Spoken Language Analytics for Screening Neurocognitive Disorders. - Helen Meng; Brian Mak; Man-Wai Mak; Helene H. Fung; Xianmin Gong; Timothy C. Y. Kwok; Xunying Liu; Vincent C. T. Mok; Patrick C. M. Wong; Jean Woo; Xixin Wu; Ka Ho Wong; et al. (INTERSPEECH, 2023)

Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narratives. - Jinchao Li; Yuejiao Wang; Junan Li; Jiawen Kang 002; Bo Zheng; Simon Wong; Brian Mak; Helene H. Fung; Jean Woo; Man-Wai Mak; Timothy C. Y. Kwok; Vincent C. T. Mok; et al. (CoRR, 2025)