Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Cem Gultekin"'
Autor:
Cheng Zhang, Pavel Perezhogin, Cem Gultekin, Alistair Adcroft, Carlos Fernandez‐Granda, Laure Zanna
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract We address the question of how to use a machine learned (ML) parameterization in a general circulation model (GCM), and assess its performance both computationally and physically. We take one particular ML parameterization (Guillaumin & Zann
Externí odkaz:
https://doaj.org/article/468790954e424dcba55f56671134727f
Publikováno v:
Magnetic resonance in medicine, vol 87, iss 4
Magn Reson Med
Magn Reson Med
PURPOSE: The paper introduces a classical model to describe the dynamics of large spin-1/2 ensembles associated with nuclei bound in large molecule structures, commonly referred to as the semi-solid spin pool, and their magnetization transfer (MT) to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a6f293e2c1c46eb151341d61a9e5604
https://escholarship.org/uc/item/3gg8k8wh
https://escholarship.org/uc/item/3gg8k8wh
Autor:
Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Cem Gultekin, Sebastian Flassbeck, Carlos Fernandez‐Granda, Jakob Assländer
Publikováno v:
Magn Reson Med
Magnetic Resonance in Medicine
Magnetic Resonance in Medicine, Wiley, 2022, 88 (1), pp.436-448. ⟨10.1002/mrm.29206⟩
Magnetic Resonance in Medicine
Magnetic Resonance in Medicine, Wiley, 2022, 88 (1), pp.436-448. ⟨10.1002/mrm.29206⟩
Neural networks are increasingly used to estimate parameters in quantitative MRI, in particular in magnetic resonance fingerprinting. Their advantages over the gold standard non-linear least square fitting are their superior speed and their immunity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eafc50243d09ada5221c80d356942ca8
https://pubmed.ncbi.nlm.nih.gov/35344614
https://pubmed.ncbi.nlm.nih.gov/35344614
Publikováno v:
Cultural and Spiritual Significance of Nature in Protected Areas ISBN: 9781315108186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa16e306b8511cd58ac8f70540b9f60
https://doi.org/10.4324/9781315108186-15
https://doi.org/10.4324/9781315108186-15