Vincent C. T. Mok

According to our database, Vincent C. T. Mok authored at least 12 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Automated brain volumetric measures with AccuBrain: version comparison in accuracy, reproducibility and application for diagnosis.

Lei Zhao, Yishan Luo, Vincent C. T. Mok, Lin Shi

BMC Medical Imaging, 2022

2021

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

2019

Neural evidence for long-term marriage shaping the functional brain network organization between couples.

Lin Shi, Wutao Lou, Adrian Wong, Fan Zhang, 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

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

IEEE Access, 2019

2018

Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets.

Rongzhao Zhang, Lei Zhao, Wutao Lou, Jill M. Abrigo, Vincent C. T. Mok, Winnie C. W. Chu, Defeng Wang, Lin Shi

IEEE Trans. Medical Imaging, 2018

2017

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images.

Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Lei Zhao, Vincent C. T. Mok, Defeng Wang, Lin Shi, Pheng-Ann Heng

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.

Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent C. T. Mok, Lin Shi, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 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

NeuroImage, 2016

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

Proceedings of the Digital Health Innovation for Consumers, Clinicians, Connectivity and Community, 2016

2015

Automatic detection of cerebral microbleeds via deep learning based 3D feature representation.

Hao Chen, Lequan Yu, Qi Dou, Lin Shi, Vincent C. T. Mok, Pheng-Ann Heng

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features.

Qi Dou, Hao Chen, Lequan Yu, Lin Shi, Defeng Wang, Vincent C. T. Mok, Pheng-Ann Heng

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

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

IEEE Trans. Biomed. Eng., 2014