Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Gregory M Noetscher"'
Autor:
Gregory M Noetscher, Peter J Serano, Marc Horner, Alexander Prokop, Jonathan Hanson, Kyoko Fujimoto, James Brown, Ara Nazarian, Jerome Ackerman, Sergey N Makaroff
Publikováno v:
eLife, Vol 12 (2023)
One limitation on the ability to monitor health in older adults using magnetic resonance (MR) imaging is the presence of implants, where the prevalence of implantable devices (orthopedic, cardiac, neuromodulation) increases in the population, as does
Externí odkaz:
https://doaj.org/article/22a8eb0a69db41129e9c6f9d5d80d72d
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0260922 (2021)
Quantitative modeling of specific absorption rate and temperature rise within the human body during 1.5 T and 3 T MRI scans is of clinical significance to ensure patient safety. This work presents justification, via validation and comparison, of the
Externí odkaz:
https://doaj.org/article/69fa0c0c25084b1bbbf6417d759a2009
This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working o
Autor:
Gregory M. Noetscher, Sergey Makaroff, Dexuan Tang, Andreas Fellner, Frank Rattay, Aapo Nummenmaa, Clayton Bingham, Cameron McIntyre
Publikováno v:
Brain Stimulation. 16:138-139
Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 9, Pp 1-7 (2021)
IEEE Journal of Translational Engineering in Health and Medicine
IEEE Journal of Translational Engineering in Health and Medicine
Objective: There is an unmet need for quick, physically small, and cost-effective office-based techniques that can measure bone properties without the use of ionizing radiation. Methods: The present study reports the application of a neural network c
Autor:
William A. Wartman, Konstantin Weise, Sergey N. Makarov, Bach T. Nguyen, Aapo Nummenmaa, Gregory M. Noetscher, Kyoko Fujimoto, Laleh Golestanirad, Jyrki Ahveninen
Publikováno v:
J Neural Eng
Journal of Neural Engineering
Journal of Neural Engineering
OBJECTIVE: To formulate, validate, and apply an alternative to the finite element method (FEM) high-resolution modeling technique for electrical brain stimulation – the boundary element fast multipole method (BEM-FMM). To include practical electrod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dabf3838015f39679bebf49f11272e01
https://europepmc.org/articles/PMC8783394/
https://europepmc.org/articles/PMC8783394/
Publikováno v:
AIAA Scitech 2021 Forum.
Autor:
Terence M. Rose, Keith Bergeron, Mehdi Ghoreyshi, Gregory M. Noetscher, Nathan J. Thompson, Adam Jirasek
Publikováno v:
AIAA Scitech 2021 Forum.
Autor:
Gregory M. Noetscher, Aapo Nummenmaa, Sergey N. Makarov, Matti Hämäläinen, Yoshio Okada, Jyrki Ahveninen
Publikováno v:
IEEE Trans Biomed Eng
Objective: A new numerical modeling approach is proposed which provides forward-problem solutions for both noninvasive recordings (EEG/MEG) and higher-resolution intracranial recordings (iEEG). Methods: The algorithm is our recently developed boundar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e28edacaf4544ce924850291428c2eec
https://europepmc.org/articles/PMC7704617/
https://europepmc.org/articles/PMC7704617/
Publikováno v:
Brain and Human Body Modeling 2020 ISBN: 9783030456221
A chapter was removed from this Open Access volume and three subsequent chapters were moved into sections of the book which was not appropriate. The TOC has now been updated to match the correct order.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d686e28cc85f5ed47feb1099aaeab8f
https://doi.org/10.1007/978-3-030-45623-8_24
https://doi.org/10.1007/978-3-030-45623-8_24