Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Zhongkang Lu"'
Autor:
Mengjiao Hu, Hsiao-Ju Cheng, Fang Ji, Joanna Su Xian Chong, Zhongkang Lu, Weimin Huang, Kai Keng Ang, Kok Soon Phua, Kai-Hsiang Chuang, Xudong Jiang, Effie Chew, Cuntai Guan, Juan Helen Zhou
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Brain-computer interface-assisted motor imagery (MI-BCI) or transcranial direct current stimulation (tDCS) has been proven effective in post-stroke motor function enhancement, yet whether the combination of MI-BCI and tDCS may further benefit the reh
Externí odkaz:
https://doaj.org/article/d6a2860cbea34771a860c25a5cc29e23
Autor:
Jordan Z. T. Sim, Yong-Han Ting, Yuan Tang, Yangqin Feng, Xiaofeng Lei, Xiaohong Wang, Wen-Xiang Chen, Su Huang, Sum-Thai Wong, Zhongkang Lu, Yingnan Cui, Soo-Kng Teo, Xin-Xing Xu, Wei-Min Huang, Cher-Heng Tan
Publikováno v:
Healthcare, Vol 10, Iss 1, p 175 (2022)
(1) Background: Chest radiographs are the mainstay of initial radiological investigation in this COVID-19 pandemic. A reliable and readily deployable artificial intelligence (AI) algorithm that detects pneumonia in COVID-19 suspects can be useful for
Externí odkaz:
https://doaj.org/article/3428986221174f01aae00b53c08ac4bb
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Melanoma classification plays an important role in skin lesion diagnosis. Nevertheless, melanoma classification is a challenging task, due to the appearance variation of the skin lesions, and the interference of the noises from dermoscopic imaging. I
Autor:
Kwun Kei Ng, Xing Qian, Zhongkang Lu, Fang Ji, Hsiao-Ju Cheng, Haoyong Yu, Effie Chew, Fatima A. Nasrallah, Wei-Peng Teo, Cuntai Guan, Kai Keng Ang, Juan Helen Zhou, Kai-Hsiang Chuang, Xin Hong
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Scientific Reports
Scientific Reports
Stroke leads to both regional brain functional disruptions and network reorganization. However, how brain functional networks reconfigure as task demand increases in stroke patients and whether such reorganization at baseline would facilitate post-st
Autor:
Akie Katsuki, Savitha Rani Ravichandran, Zeng Zeng, Su Huang, Balaji Nataraj, Zhongkang Lu, Weimin Huang, Zhiliang Qin
Publikováno v:
BHI
Computed Tomography Coronary Angiography (CTCA) is an effective imaging technique used for diagnosis and surgical planning. Segmentation of the aorta from the CTCA can be used clinically for interpretation, aortic valve measurement for intervention a
Publikováno v:
BHI
Automatic segmentation of medical images, such as computed tomography (CT) or magnetic resonance imaging (MRI), plays an essential role in efficient clinical diagnosis. While deep learning have gained popularity in academia and industry, more works h
Autor:
Mary C. Stephenson, Xudong Jiang, John J. Totman, Kai-Hsiang Chuang, Fatima A. Nasrallah, Kai Keng Ang, Weimin Huang, Fang Ji, Kok Soon Phua, Ling Zhao, Juan Zhou, Zhongkang Lu, Reza Khosrowabadi, Effie Chew, Cuntai Guan, Mengjiao Hu
Publikováno v:
EMBC
Mapping the brain alterations post stroke and post intervention is important for rehabilitation therapy development. Previous work has shown changes in functional connectivity based on resting-state fMRI, structural connectivity derived from diffusio
Publikováno v:
ICARCV
This paper presents a new medical image segmentation method by using wavelet frame energy distribution, which is the sum of squares of the wavelet frame coefficients at each pixel. This work shows that the wavelet frame energy distribution contains t
Autor:
Kok Soon Phua, Cuntai Guan, Irvin Teh, Effie Chew, Kai-Hsiang Chuang, Xin Hong, Wei-Peng Teo, Zhongkang Lu, Kai Keng Ang, Fatima A. Nasrallah
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Scientific Reports
Scientific Reports
Brain-computer interface-assisted motor imagery (MI-BCI) or transcranial direct current stimulation (tDCS) has been used in stroke rehabilitation, though their combinatory effect is unknown. We investigated brain plasticity following a combined MI-BC
Publikováno v:
2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP).
This paper presents a new sparse regularization model for frame-based image reconstruction in compressed sensing magnetic resonance imaging (CS-MRI). The proposed regularization includes both total variation (TV) norm and frame balanced penalty, call