Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Zhengxiang, Cai"'
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Noninvasive electromagnetic measurements are utilized effectively to estimate large scale dynamic brain networks. Sohrabpour et al. propose a novel electrophysiological source imaging approach to estimate the location and size of epileptogenic tissue
Externí odkaz:
https://doaj.org/article/dbcfd275c9864ec79556ec7acf157ec1
Publikováno v:
SCIENTIA SINICA Technologica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::613cc740b5fc04034ac3ef6b8c1fd2e2
https://doi.org/10.1360/sst-2022-0447
https://doi.org/10.1360/sst-2022-0447
Autor:
Zhengxiang, Cai, Bin, He
Publikováno v:
Clinical Neurophysiology. 144:121-122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a2d60f82942e7d91ebbf0f6d0f3fa46
https://doi.org/10.1016/j.clinph.2022.09.013
https://doi.org/10.1016/j.clinph.2022.09.013
Publikováno v:
Annals of Neurology
OBJECTIVE Drug-resistant focal epilepsy is widely recognized as a network disease in which epileptic seizure propagation is likely coordinated by different neuronal oscillations such as low-frequency activity (LFA), high-frequency activity (HFA), or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5aecc637918e3ac674a1344b12c1e13
https://doi.org/10.1002/ana.25583
https://doi.org/10.1002/ana.25583
Autor:
Benjamin H. Brinkmann, Gregory A. Worrell, Shuai Ye, Bin He, Abbas Sohrabpour, Zhengxiang Cai, Haiteng Jiang, Boney Joseph
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Millions of people affected by epilepsy may undergo surgical resection of the epileptic tissues to stop seizures if such epileptic foci can be accurately delineated. High-frequency oscillations (HFOs), existing in electroencephalography,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae89a93debad410cd674c1057d23baf8
https://pubmed.ncbi.nlm.nih.gov/33875582
https://pubmed.ncbi.nlm.nih.gov/33875582
Publikováno v:
Neurocomputing. 197:29-44
Cognitive state, which is the inner mental state of a person while interacting with an artificial system through man-machine interface, can be affected by various factors, such as fatigue, stress, mental workload, attention deficit, and executive fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1889252a0d636c54c2d68633bbaa813
https://doi.org/10.1016/j.neucom.2016.01.054
https://doi.org/10.1016/j.neucom.2016.01.054
Publikováno v:
Neurocomputing. 182:1-9
This study proposed a new method for multi-focus image fusion using hybrid wavelet and classifier. The image fusion process was formulated as a two-class classification problem: in and out-of-focus classes. First, a six-dimensional feature vector was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22dd96edc50ad93e815fd86ec4e8584a
https://doi.org/10.1016/j.neucom.2015.10.084
https://doi.org/10.1016/j.neucom.2015.10.084
Publikováno v:
Optik. 126:5903-5908
A hybrid dynamic fatigue diagnosis method based on a variation of ensemble empirical mode decomposition (VEEMD) and mean instantaneous frequency (MIF) is presented. This new approach consists of sifting an ensemble of white noise-added signal (data)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df4ca25c87a78b2bdaa93fefbccfc00f
https://doi.org/10.1016/j.ijleo.2015.08.179
https://doi.org/10.1016/j.ijleo.2015.08.179
Autor:
Zhengxiang Cai, Sohrabpour, Abbas, Haiteng Jiang, Shuai Ye, Joseph, Boney, Brinkmann, Benjamin H., Worrell, Gregory A., Bin He
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 4/27/2021, Vol. 118 Issue 17, p1-12, 12p
Publikováno v:
ACM Multimedia
A new algorithm is developed in this paper to support more effective cross-modal image-tag relevance learning for large-scale social images, which integrates the multimodal feature representation, multimodal relevance measurement, and cross- modal re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9320f9401c5b4e49de6b54c56cf600b4
https://doi.org/10.1145/2733373.2806294
https://doi.org/10.1145/2733373.2806294