Detection of Acute Infarction on Non–Contrast-enhanced CT: Closing the gap with MRI via machine learning

Kambiz Nael

doi:10.1148/radiol.2020192703

Detection of Acute Infarction on Non–Contrast-enhanced CT: Closing the gap with MRI via machine learning

Kambiz Nael

Medical Imaging

Research output: Contribution to journal › Editorial › peer-review

6 Scopus citations

Original language	English (US)
Pages (from-to)	645-646
Number of pages	2
Journal	Radiology
Volume	294
Issue number	2
DOIs	https://doi.org/10.1148/radiol.2020192703
State	Published - 2020

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1148/radiol.2020192703

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title = "Detection of Acute Infarction on Non–Contrast-enhanced CT: Closing the gap with MRI via machine learning",

author = "Kambiz Nael",

year = "2020",

doi = "10.1148/radiol.2020192703",

language = "English (US)",

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pages = "645--646",

journal = "Radiology",

issn = "0033-8419",

publisher = "Radiological Society of North America Inc.",

number = "2",

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T1 - Detection of Acute Infarction on Non–Contrast-enhanced CT

T2 - Closing the gap with MRI via machine learning

AU - Nael, Kambiz

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DO - 10.1148/radiol.2020192703

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SN - 0033-8419

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EP - 646

JO - Radiology

JF - Radiology

IS - 2

ER -

Detection of Acute Infarction on Non–Contrast-enhanced CT: Closing the gap with MRI via machine learning

ASJC Scopus subject areas

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