Zobrazeno 1 - 10
of 208
pro vyhledávání: '"Leow, A. D."'
Autor:
Tang, Haoteng, Ma, Guixiang, Zhang, Yanfu, Ye, Kai, Guo, Lei, Liu, Guodong, Huang, Qi, Wang, Yalin, Ajilore, Olusola, Leow, Alex D., Thompson, Paul M., Huang, Heng, Zhan, Liang
Publikováno v:
In Meta-Radiology November 2023 1(3)
Autor:
Mokatren, Lubna Shibly, Ansari, Rashid, Cetin, Ahmet Enis, Leow, Alex D, Klumpp, Heide, Ajilore, Olusola, Vural, Fatos Yarman
Electroencephalography (EEG) serves as an effective diagnostic tool for mental disorders and neurological abnormalities. Enhanced analysis and classification of EEG signals can help improve detection performance. A new approach is examined here for e
Externí odkaz:
http://arxiv.org/abs/1905.09472
Autor:
Mokatren, Lubna Shibly, Ansari, Rashid, Cetin, Ahmet Enis, Leow, Alex D., Ajilore, Olusola, Klumpp, Heide, Vural, Fatos T. Yarman
The problem of detecting the presence of Social Anxiety Disorder (SAD) using Electroencephalography (EEG) for classification has seen limited study and is addressed with a new approach that seeks to exploit the knowledge of EEG sensor spatial configu
Externí odkaz:
http://arxiv.org/abs/1812.02865
Autor:
Tang, Haoteng, Guo, Lei, Fu, Xiyao, Wang, Yalin, Mackin, Scott, Ajilore, Olusola, Leow, Alex D., Thompson, Paul M., Huang, Heng, Zhan, Liang
Publikováno v:
In Medical Image Analysis January 2023 83
Mood disorders are common and associated with significant morbidity and mortality. Early diagnosis has the potential to greatly alleviate the burden of mental illness and the ever increasing costs to families and society. Mobile devices provide us a
Externí odkaz:
http://arxiv.org/abs/1808.09852
Autor:
Chung, Moo K., Luo, Zhan, Leow, Alex D., Alexander, Andrew L., Davidson, Richard J., Goldsmith, H. Hill
The permutation test is known as the exact test procedure in statistics. However, often it is not exact in practice and only an approximate method since only a small fraction of every possible permutation is generated. Even for a small sample size, i
Externí odkaz:
http://arxiv.org/abs/1807.02885
Network analysis of human brain connectivity is critically important for understanding brain function and disease states. Embedding a brain network as a whole graph instance into a meaningful low-dimensional representation can be used to investigate
Externí odkaz:
http://arxiv.org/abs/1806.07703
Autor:
Cao, Bokai, Zheng, Lei, Zhang, Chenwei, Yu, Philip S., Piscitello, Andrea, Zulueta, John, Ajilore, Olu, Ryan, Kelly, Leow, Alex D.
The increasing use of electronic forms of communication presents new opportunities in the study of mental health, including the ability to investigate the manifestations of psychiatric diseases unobtrusively and in the setting of patients' daily live
Externí odkaz:
http://arxiv.org/abs/1803.08986
Autor:
Conrin, Sean D., Zhan, Liang, Morrissey, Zachery D., Xing, Mengqi, Forbes, Angus, Maki, Pauline, Milad, Mohammed R., Ajilore, Olusola, Leow, Alex D.
Recently we developed a novel method for assessing the hierarchical modularity of functional brain networks - the probability associated community estimation(PACE). The PACE algorithm is unique in that it permits a dual formulation, thus yielding equ
Externí odkaz:
http://arxiv.org/abs/1801.01577
Publikováno v:
In Pervasive and Mobile Computing July 2022 83