Zobrazeno 1 - 10 of 12 pro vyhledávání: '"M. Murat Dundar"'
2
Akademický článek
A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves
Autor: Abida Sanjana Shemonti, Emanuele Plebani, Natalia P. Biscola, Deborah M. Jaffey, Leif A. Havton, Janet R. Keast, Alex Pothen, M. Murat Dundar, Terry L. Powley, Bartek Rajwa
Publikováno v: Frontiers in Neuroscience, Vol 17 (2023)
A thorough understanding of the neuroanatomy of peripheral nerves is required for a better insight into their function and the development of neuromodulation tools and strategies. In biophysical modeling, it is commonly assumed that the complex spati
Externí odkaz: https://doaj.org/article/ec13564424114d20b07151bd0525e319
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3
Akademický článek
Deep-Learning-Based High-Intensity Focused Ultrasound Lesion Segmentation in Multi-Wavelength Photoacoustic Imaging
Autor: Xun Wu, Jean L. Sanders, M. Murat Dundar, Ömer Oralkan
Publikováno v: Bioengineering, Vol 10, Iss 9, p 1060 (2023)
Photoacoustic (PA) imaging can be used to monitor high-intensity focused ultrasound (HIFU) therapies because ablation changes the optical absorption spectrum of the tissue, and this change can be detected with PA imaging. Multi-wavelength photoacoust
Externí odkaz: https://doaj.org/article/635293255ef349ab88588ebf03eecab6
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4
Akademický článek
High-throughput segmentation of unmyelinated axons by deep learning
Autor: Emanuele Plebani, Natalia P. Biscola, Leif A. Havton, Bartek Rajwa, Abida Sanjana Shemonti, Deborah Jaffey, Terry Powley, Janet R. Keast, Kun-Han Lu, M. Murat Dundar
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Axonal characterizations of connectomes in healthy and disease phenotypes are surprisingly incomplete and biased because unmyelinated axons, the most prevalent type of fibers in the nervous system, have largely been ignored as their quantita
Externí odkaz: https://doaj.org/article/eeebcd4fdbae4233a1b78aa47374606f
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7
High-throughput segmentation of unmyelinated axons by deep learning
Autor: Emanuele Plebani, Natalia P. Biscola, Leif A. Havton, Bartek Rajwa, Abida Sanjana Shemonti, Deborah Jaffey, Terry Powley, Janet R. Keast, Kun-Han Lu, M. Murat Dundar
Publikováno v: Scientific Reports
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Axonal characterizations of connectomes in healthy and disease phenotypes are surprisingly incomplete and biased because unmyelinated axons, the most prevalent type of fibers in the nervous system, have largely been ignored as their quantitative asse
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::310d244a1e603f4e5385b6e3ae719960
https://doi.org/10.21203/rs.3.rs-941662/v1
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8
A machine learning toolkit for CRISM image analysis
Autor: Emanuele Plebani, Bethany L. Ehlmann, Ellen K. Leask, Valerie K. Fox, M. Murat Dundar
Publikováno v: Icarus. 376:114849
Hyperspectral images collected by remote sensing have played a significant role in the discovery of aqueous alteration minerals, which in turn have important implications for our understanding of the changing habitability on Mars. Traditional spectra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea908aa94a02d25c7bbdfba6625fccd7
https://doi.org/10.1016/j.icarus.2021.114849
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10
Akademický článek
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