Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chenzhong Yin"'
Autor:
Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta
Publikováno v:
Advanced Science, Vol 10, Iss 12, Pp n/a-n/a (2023)
Abstract Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide. Current COPD diagnosis (i.e., spirometry) could be unreliable because the test depends on an adequate effort from the tester and testee. Moreover,
Externí odkaz:
https://doaj.org/article/cfe8694d04254234b3107e4841d548f0
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract The global rise of COVID-19 health risk has triggered the related misinformation infodemic. We present the first analysis of COVID-19 misinformation networks and determine few of its implications. Firstly, we analyze the spread trends of COV
Externí odkaz:
https://doaj.org/article/56c58c5066294d77b18850688ce00f8b
Autor:
Chenzhong, Yin, Phoebe, Imms, Mingxi, Cheng, Anar, Amgalan, Nahian F, Chowdhury, Roy J, Massett, Nikhil N, Chaudhari, Xinghe, Chen, Paul M, Thompson, Paul, Bogdan, Andrei, Irimia
Publikováno v:
Proceedings of the National Academy of Sciences. 120
The gap between chronological age (CA) and biological brain age, as estimated from magnetic resonance images (MRIs), reflects how individual patterns of neuroanatomic aging deviate from their typical trajectories. MRI-derived brain age (BA) estimates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70025495ac89ae7f8b0f6b8de40517b6
https://doi.org/10.1073/pnas.2214634120
https://doi.org/10.1073/pnas.2214634120
Normalizing flow models using invertible neural networks (INN) have been widely investigated for successful generative image super-resolution (SR) by learning the transformation between the normal distribution of latent variable $z$ and the condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c90930ba645a592e147117e4c5fcfea
Autor:
Chenzhong Yin, Mikhail E. Kandel, Gabriel Popescu, Paul Bogdan, Valeriu Balaban, Xiongye Xiao, Young Jae Lee
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports
Scientific Reports
Understanding the mechanisms by which neurons create or suppress connections to enable communication in brain-derived neuronal cultures can inform how learning, cognition and creative behavior emerge. While prior studies have shown that neuronal cult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4e1ca609af98c5d6133da0ef12fb3da
http://link.springer.com/article/10.1038/s41598-020-72013-7
http://link.springer.com/article/10.1038/s41598-020-72013-7
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports
Scientific Reports
The global rise of COVID-19 health risk has triggered the related misinformation infodemic. We present the first analysis of COVID-19 misinformation networks and determine few of its implications. Firstly, we analyze the spread trends of COVID-19 mis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb1b8f04fa0a9ee54dea0f9b49f91060
https://doi.org/10.1038/s41598-021-89202-7
https://doi.org/10.1038/s41598-021-89202-7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617240
DDDAS
DDDAS
A variety of complex patterns displayed by animal physiology, microbial communities, biological systems, or even artificial networks such as neural networks can be modeled by mathematical techniques which use non-linear, non-stationary, non-Markovian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4d6d41dd95b0153046f0a2237e3eb26
https://doi.org/10.1007/978-3-030-61725-7_35
https://doi.org/10.1007/978-3-030-61725-7_35
Akademický článek
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Publikováno v:
In Vacuum 1991 42(16):1040-1041