Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Seyyed Mostafa Mousavi Janbeh Sarayi"'
Autor:
Seyyed Mostafa Mousavi Janbeh Sarayi, Briana A. Santo, Muhammad Waqas, Andre Monterio, Sricharan S. Veeturi, TaJania D. Jenkins, Elad I. Levy, Adnan H. Siddiqui, Vincent M. Tutino
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 3, Iss 2 (2023)
Background Vascular geometry plays an important role in stroke thrombectomy outcomes, but few studies have examined complex characteristics of vessel morphology. The authors hypothesized that engineered vessel cross‐section features could be used t
Externí odkaz:
https://doaj.org/article/f9752cae298746a289a7643293bf267c
Autor:
Briana A Santo, Seyyed Mostafa Mousavi Janbeh Sarayi, Andrew D McCall, Andre Monteiro, Brianna Donnelly, Adnan H Siddiqui, Vincent M Tutino
Publikováno v:
Journal of NeuroInterventional Surgery. :jnis-2022
BackgroundBiological interpretability of ischemic stroke clot imaging remains challenging.ObjectiveTo carry out paired CT/micro-CT imaging of ischemic stroke clots retrieved by thrombectomy with the aim of identifying interpretable image features tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d409f42d54ec66a9f4a88a7af58791a
https://doi.org/10.1136/jnis-2022-019967
https://doi.org/10.1136/jnis-2022-019967
Publikováno v:
Sustainability; Volume 14; Issue 19; Pages: 12329
Free vibration and wave analysis of thick rectangular graphene are studied by employing the wave propagation method. To consider small-scale effects and thickness of a plate in nanoscales, equations of motions are represented by the Eringen nonlocal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3af508edf8b732d62045a1c5df6bb59b
https://doi.org/10.3390/su141912329
https://doi.org/10.3390/su141912329
Autor:
Adam Hammond, Hui Meng, Jason M Davies, Danyang Chen, Seyyed Mostafa Mousavi Janbeh Sarayi, Robert J. Damiano, Palak Patel, Jinhui Xu
Publikováno v:
Comput Biol Med
To aid in predicting and improving treatment outcome of endovascular coiling of intracranial aneurysms, simulation of patient-specific coil deployment should be both accurate and fast. We developed a fast virtual coiling algorithm called Pre-shape Pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4f60528d79093934929d4c2342ef8eb
https://pubmed.ncbi.nlm.nih.gov/34077817
https://pubmed.ncbi.nlm.nih.gov/34077817
Finding the inverse of a matrix is an open problem especially when it comes to engineering problems due to their complexity and running time (cost) of matrix inversion algorithms. An optimum strategy to invert a matrix is, first, to reduce the matrix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dc64ca90ac651f6a742350a6281ee55
http://arxiv.org/abs/2009.10871
http://arxiv.org/abs/2009.10871
Reflection, propagation and energy analysis are crucially important in designing structures, especially plates. A thick plate is considered based on first order shear deformation theory. Wave Propagation Method (WPM) is employed to exactly derive res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a7615619a99985e5f379503cdba8b0
http://arxiv.org/abs/2009.05597
http://arxiv.org/abs/2009.05597
Autor:
Rimal H Dossani, Seyyed Mostafa Mousavi Janbeh Sarayi, Elad I. Levy, Jason M Davies, Tatsat R. Patel, Zeguang Ren, Cesario V. Borlongan, Maxim Mokin, Muhammad Waqas, Vincent M. Tutino, Adnan H. Siddiqui, Kenneth V. Snyder
Publikováno v:
Brain Sciences
Volume 11
Issue 10
Brain Sciences, Vol 11, Iss 1321, p 1321 (2021)
Volume 11
Issue 10
Brain Sciences, Vol 11, Iss 1321, p 1321 (2021)
A direct aspiration-first pass technique (ADAPT) has recently gained popularity for the treatment of large vessel ischemic stroke. Here, we sought to create a machine learning-based model that uses pre-treatment imaging metrics to predict successful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79bee01dcd1af9801deb2ca2162b50ea
https://doi.org/10.3390/brainsci11101321
https://doi.org/10.3390/brainsci11101321