Zobrazeno 1 - 10
of 1 297
pro vyhledávání: '"Si, Lei"'
Hex-dominant mesh generation has received significant attention in recent research due to its superior robustness compared to pure hex-mesh generation techniques. In this work, we introduce the first structure for analyzing hex-dominant meshes. This
Externí odkaz:
http://arxiv.org/abs/2403.00300
Autor:
Si, Lei, Chen, Guoning
In this paper, we introduce a new 3D hex mesh visual analysis system that emphasizes poor-quality areas with an aggregated glyph, highlights overlapping elements, and provides detailed boundary error inspection in three forms. By supporting multi-lev
Externí odkaz:
http://arxiv.org/abs/2308.12158
Autor:
Christine Audrey, Kheng-Seang Lim, Rafdzah Ahmad Zaki, Vairavan Narayanan, Si-Lei Fong, Chong-Tin Tan
Publikováno v:
Brain Disorders, Vol 14, Iss , Pp 100146- (2024)
Objectives: The location of the brain tumor in the frontal or temporal lobes has been reported as a predictor for seizure occurrence in patients with a brain tumor but the predictive value of other locations is uncertain. We aimed to ascertain the po
Externí odkaz:
https://doaj.org/article/a0c22e14392942c59faa7ba5acc88df5
Autor:
Jen-Cheng Hou, BSc, MSc, PhD, Chin-Jou Li, Chien-Chen Chou, MD, PhD, Yen-Cheng Shih, MD, Si-Lei Fong, MD, Stephane E. Dufau, PhD, Po-Tso Lin, MD, Yu Tsao, BSc, MSc, PhD, Aileen McGonigal, MD, PhD, Hsiang-Yu Yu, MD, PhD
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 1, Iss 4, Pp 619-628 (2023)
Objective: To investigate the feasibility and accuracy of artificial intelligence (AI) methods of facial deidentification in hospital-recorded epileptic seizure videos, for improved patient privacy protection while preserving clinically important fea
Externí odkaz:
https://doaj.org/article/411c466ee97c4f3e8a1a46fc3bc69ea3
Autor:
Sim Kuan Goh, Jimmy Y. Zhong, Chow-Khuen Chan, Siti Balqis Samdin, Si-Lei Fong, Choong Yi Fong, Kheng Seang Lim
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/65f22ec4de564f98ba4251ef1d116210
Autor:
Xu, Lizheng, Yang, Minghui, Zhang, Xinyi, Zhang, Jing, He, Jiusheng, Wen, Liangyuan, Wang, Xianhai, Shi, Zongxin, Hu, Sanbao, Sun, Fengpo, Gong, Zishun, Sun, Mingyao, Peng, Ke, Ye, Pengpeng, Ma, Ruofei, Wu, Xinbao, Chen, Mingsheng, Jan, Stephen, Ivers, Rebecca, Tian, Maoyi, Si, Lei
Publikováno v:
In The Lancet Regional Health - Western Pacific August 2024 49
Autor:
Audrey, Christine, Lim, Kheng-Seang, Ahmad Zaki, Rafdzah, Narayanan, Vairavan, Fong, Si-Lei, Tan, Chong-Tin
Publikováno v:
In Brain Disorders June 2024 14
Autor:
Lim, Kheng-Seang, Fong, Si-Lei, Yu, Xuen, Lim, Ying-Huan, Wong, Kian-Yong, Lai, Siew-Tim, Ng, Chong-Guan, Tan, Chong-Tin, Tan, Seng-Beng
Publikováno v:
In Epilepsy & Behavior June 2024 155
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 10, Pp 87-95 (2023)
Realizing automatic recognition of coal gangue content during the top coal caving process is an important goal of fully mechanized mining automation. The existing methods for automatic recognition of coal gangue content have problems such as low accu
Externí odkaz:
https://doaj.org/article/ba901bd4ffc340fc9347d10b7a5ae7b3
Publikováno v:
In Mechanical Systems and Signal Processing 1 November 2024 220