Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Xianling, Dong"'
Autor:
Xiaolei Zhang, M. Iqbal bin Saripan, Yanjun Wu, Zhongxiao Wang, Dong Wen, Zhendong Cao, Bingzhen Wang, Shiqi Xu, Yanli Liu, Mohammad Hamiruce Marhaban, Xianling Dong
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background This study investigated whether the Combat compensation method can remove the variability of radiomic features extracted from different scanners, while also examining its impact on the subsequent predictive performance of machine
Externí odkaz:
https://doaj.org/article/4d8558cc4e2e43c9b0d6406d3aa804b5
Autor:
Yiduo Yao, W. Z. W. Hasan, Wenlong Jiao, Xianling Dong, H. R. Ramli, N. M. H. Norsahperi, Dong Wen
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/2c044cbd8a4f49288aaf55ebff56998d
Autor:
Xiaolei Zhang, Xianling Dong, M. Iqbal bin Saripan, Dongyang Du, Yanjun Wu, Zhongxiao Wang, Zhendong Cao, Dong Wen, Yanli Liu, Mohammad Hamiruce Marhaban
Publikováno v:
Thoracic Cancer, Vol 14, Iss 19, Pp 1802-1811 (2023)
Abstract Background Radiomic diagnosis models generally consider only a single dimension of information, leading to limitations in their diagnostic accuracy and reliability. The integration of multiple dimensions of information into the deep learning
Externí odkaz:
https://doaj.org/article/ffdb264163cb42d79ec29b293795e37e
Autor:
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, Zhongxiao Wang, Zhendong Cao, Lijun Lu, Wenbing Lv, Aihui Wang, Shuyan Li, Xiaotian Wu, Xianling Dong
Publikováno v:
EJNMMI Research, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Objectives By comparing the prognostic performance of 18F-FDG PET/CT-based radiomics combining dose features [Includes Dosiomics feature and the dose volume histogram (DVH) features] with that of conventional radiomics in head and neck cance
Externí odkaz:
https://doaj.org/article/713ea6355e484638a3fd7212ee05b6f9
Autor:
Dong Wen, Jingpeng Yuan, Jingjing Li, Yue Sun, Xianpu Wang, Ruihang Shi, Xianglong Wan, Yanhong Zhou, Haiqing Song, Xianling Dong, Fangzhou Xu, Xifa Lan, Tzyy-Ping Jung
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2705-2714 (2023)
The field of spatial cognitive training and evaluation has rapidly evolved. However, the low learning motivation and engagement of the subjects hinder the widespread use of spatial cognitive training. This study designed a home-based spatial cognitiv
Externí odkaz:
https://doaj.org/article/2ffa674fb40c47bbbecfb3293b8cf08e
Autor:
Dong Wen, Bingbing Liang, Jingjing Li, Lingyu Wu, Xianglong Wan, Xianling Dong, Xifa Lan, Haiqing Song, Yanhong Zhou
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2370-2380 (2023)
In order to improve the traditional common space pattern (CSP) algorithm pattern in EEG feature extraction, this study proposes a feature extraction method of EEG signals based on permutation conditional mutual information common space pattern (PCMIC
Externí odkaz:
https://doaj.org/article/330262fcb7884bd7a0fad01831474b30
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/ce9ff27b72f641d6892d1e10b3da7b77
Autor:
Dong Wen, Rou Li, Hao Tang, Yijun Liu, Xianglong Wan, Xianling Dong, M. Iqbal Saripan, Xifa Lan, Haiqing Song, Yanhong Zhou
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1041-1051 (2022)
In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method for spatial cognitive ability assessment was proposed, aiming at achieving the binary classification of task-state EEG signals before and after spati
Externí odkaz:
https://doaj.org/article/24c949c4a0244d3984fc4683bd06d135
Autor:
Xianling Dong, Shiqi Xu, Yanli Liu, Aihui Wang, M. Iqbal Saripan, Li Li, Xiaolei Zhang, Lijun Lu
Publikováno v:
Cancer Imaging, Vol 20, Iss 1, Pp 1-13 (2020)
Abstract Background Convolutional neural networks (CNNs) have been extensively applied to two-dimensional (2D) medical image segmentation, yielding excellent performance. However, their application to three-dimensional (3D) nodule segmentation remain
Externí odkaz:
https://doaj.org/article/de3508964d314ac6bb9d845f06967278
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Studies investigating age-related positivity effects during facial emotion processing have yielded contradictory results. The present study aimed to elucidate the mechanisms of cognitive control during attentional processing of emotional faces among
Externí odkaz:
https://doaj.org/article/05bace65df244e839271f8d41b8bd66e