Výsledky vyhledávání - "Jennifer Polson"

Multi-Parametric Radiomic Model to Predict 1p/19q Co-Deletion in Patients with IDH-1 Mutant Glioma: Added Value to the T2-FLAIR Mismatch Sign

Autor: Shingo Kihira, Ahrya Derakhshani, Michael Leung, Keon Mahmoudi, Adam Bauer, Haoyue Zhang, Jennifer Polson, Corey Arnold, Nadejda M. Tsankova, Adilia Hormigo, Banafsheh Salehi, Nancy Pham, Benjamin M. Ellingson, Timothy F. Cloughesy, Kambiz Nael

Publikováno v: Cancers
Volume 15
Issue 4
Pages: 1037
Cancers, vol 15, iss 4

Purpose: The T2-FLAIR mismatch sign has shown promise in determining IDH mutant 1p/19q non-co-deleted gliomas with a high specificity and modest sensitivity. To develop a multi-parametric radiomic model using MRI to predict 1p/19q co-deletion status

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f0c793c36dc536261bc06ac4f38b677

Zobrazit plný text záznamu

Plný text ve formátu HTML

Abstract TP97: Automated Assessment Of DWI-FLAIR Mismatch To Predict Stroke-onset Time

Autor: Elham Tavakkol, Shingo Kihira, Mark McArthur, Phoebe Ann, Jennifer Polson, Haoyue Zhang, Corey Arnold, Bryan Yoo, Michael Linetsky, Luke Ledbetter, Noriko Salamon, Reza Jahan, Gary Duckwiler, Jeffrey L Saver, David S Liebeskind, Kambiz Nael

Publikováno v: Stroke. 54

Background and Purpose: DWI-FLAIR mismatch is used to determine thrombolytic eligibility in patients with acute ischemic stroke (AIS) when time-to-stroke symptom (TSS) is unknown. Advances in artificial intelligence and machine learning (ML) techniqu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d32d5c5907bcfdac240aa59dad72849c
https://doi.org/10.1161/str.54.suppl_1.tp97

Zobrazit plný text záznamu

Abstract TP102: Automated Assessment Of Ischemic Core On Noncontrast Computed Tomography: A Comparative Analysis With CT Perfusion

Autor: Shingo Kihira, elham tavakkol, Xin Qiao, Jennifer Polson, Haoyue Zhang, Mersedeh Bahr-Hosseini, Geoffrey Colby, May Nour, Satoshi Tateshima, Reza Jahan, Gary Duckwiler, Luke Ledbetter, Juan Villablanca, Corey Arnold, Jeffrey L Saver, David S Liebeskind, Kambiz Nael

Publikováno v: Stroke. 54

Introduction: Application of machine learning (ML) algorithms has shown promising results in estimating ischemic core volumes using routine non-contrast CT (NCCT). We aimed to assess the performance of the e-Stroke Suite software (Brainomix, Oxford,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4a2391f6d4ff672d78a13942e157d90
https://doi.org/10.1161/str.54.suppl_1.tp102

Zobrazit plný text záznamu

PathAL: An Active Learning Framework for Histopathology Image Analysis

Autor: Wenyuan Li, Jiayun Li, Zichen Wang, Jennifer Polson, Anthony E. Sisk, Dipti P. Sajed, William Speier, Corey W. Arnold

Publikováno v: IEEE transactions on medical imaging, vol 41, iss 5
IEEE Trans Med Imaging

Deep neural networks, in particular convolutional networks, have rapidly become a popular choice for analyzing histopathology images. However, training these models relies heavily on a large number of samples manually annotated by experts, which is c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c8fcd21a6d0c4389013696643c48029
https://escholarship.org/uc/item/5439t7wx

Zobrazit plný text záznamu

A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis

Autor: Jennifer Polson, Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo, Namkug Kim, Dong-Wha Kang, William Speier, Corey W. Arnold

Publikováno v: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021

Treating acute ischemic stroke (AIS) patients is a time-sensitive endeavor, as therapies target areas experiencing ischemia to prevent irreversible damage to brain tissue. Depending on how an AIS is progressing, thrombolytics such as tissue-plasminog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b71b29abd4b3ed99d00f214752e547c
https://pubmed.ncbi.nlm.nih.gov/34891736

Zobrazit plný text záznamu

Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning

Autor: Iris E Chen, Brian Tsui, Haoyue Zhang, Joe X Qiao, William Hsu, May Nour, Noriko Salamon, Luke Ledbetter, Jennifer Polson, Corey Arnold, Mersedeh BahrHossieni, Reza Jahan, Gary Duckwiler, Jeffrey Saver, David Liebeskind, Kambiz Nael

Publikováno v: Interventional Neuroradiology. :159101992211454

Background Accurate estimation of ischemic core on baseline imaging has treatment implications in patients with acute ischemic stroke (AIS). Machine learning (ML) algorithms have shown promising results in estimating ischemic core using routine nonco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb47e5b17f62aedc1524a680e9439050
https://doi.org/10.1177/15910199221145487

Zobrazit plný text záznamu