Deep Learning Using CT to Improve Chronic Total Occlusion Recanalization Success

Gabija Pundziute-Do Prado

doi:10.1148/radiol.232802

Deep Learning Using CT to Improve Chronic Total Occlusion Recanalization Success

Gabija Pundziute-Do Prado^*

^*Corresponding author for this work

Cardiovascular Centre (CVC)

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

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Original language	English
Article number	e232802
Number of pages	2
Journal	Radiology
Volume	309
Issue number	2
DOIs	https://doi.org/10.1148/radiol.232802
Publication status	Published - Nov-2023

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Deep Learning Using CT to Improve Chronic Total Occlusion Recanalization SuccessFinal publisher's version, 144 KBLicence: Taverne

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title = "Deep Learning Using CT to Improve Chronic Total Occlusion Recanalization Success",

author = "{Pundziute-Do Prado}, Gabija",

year = "2023",

month = nov,

doi = "10.1148/radiol.232802",

language = "English",

volume = "309",

journal = "Radiology",

issn = "0033-8419",

publisher = "RADIOLOGICAL SOC NORTH AMERICA",

number = "2",

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T1 - Deep Learning Using CT to Improve Chronic Total Occlusion Recanalization Success

AU - Pundziute-Do Prado, Gabija

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U2 - 10.1148/radiol.232802

DO - 10.1148/radiol.232802

M3 - Editorial

C2 - 37962508

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SN - 0033-8419

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JO - Radiology

JF - Radiology

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M1 - e232802

ER -

Deep Learning Using CT to Improve Chronic Total Occlusion Recanalization Success

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