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of 5
pro vyhledávání: '"Alex Hocking"'
Autor:
Nicholas Parsons, Andrei Irimia, Anar Amgalan, Julien Ugon, Kerri Morgan, Sergiy Shelyag, Alex Hocking, Govinda Poudel, Karen Caeyenberghs
Publikováno v:
NeuroImage: Clinical, Vol 38, Iss , Pp 103428- (2023)
An emerging body of work has revealed alterations in structural (SC) and functional (FC) brain connectivity following mild TBI (mTBI), with mixed findings. However, these studies seldom integrate complimentary neuroimaging modalities within a unified
Externí odkaz:
https://doaj.org/article/0ec54d97676e49b2a406dcff63a4fca5
Autor:
Nicholas Parsons, Julien Ugon, Kerri Morgan, Sergiy Shelyag, Alex Hocking, Su Yuan Chan, Govinda Poudel, Juan F. Domìnguez D, Karen Caeyenberghs
Publikováno v:
NeuroImage, Vol 263, Iss , Pp 119659- (2022)
Background: The human brain is a complex network that seamlessly manifests behaviour and cognition. This network comprises neurons that directly, or indirectly mediate communication between brain regions. Here, we show how multilayer/multiplex networ
Externí odkaz:
https://doaj.org/article/8d27254a7ae1469a8d49a379842da5d7
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 473:1108-1129
We present an unsupervised machine learning technique that automatically segments and labels galaxies in astronomical imaging surveys using only pixel data. Distinct from previous unsupervised machine learning approaches used in astronomy we use no p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d104ddcb96b3ab3941f1a368db5a238e
https://doi.org/10.1093/mnras/stx2351
https://doi.org/10.1093/mnras/stx2351
Galaxy morphology is a fundamental quantity, that is essential not only for the full spectrum of galaxy-evolution studies, but also for a plethora of science in observational cosmology. While a rich literature exists on morphological-classification t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97fad48d512a1e3945e80774aea11b24
Publikováno v:
IJCNN
Astrophysicists rely on crowd sourced initiatives to classify galaxies in large surveys. The next generation of telescopes will lead to a revolutionary increase in the amount of unlabelled data available to astrophysicists making crowd sourcing infea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37d524d4c7995da1c20743a3f8e3f900
https://doi.org/10.1109/ijcnn.2017.7966384
https://doi.org/10.1109/ijcnn.2017.7966384