Longitudinal assessment of covid-19 using a deep learning–based quantitative ct pipeline: Illustration of two cases

Yukun Cao; Zhanwei Xu; Jianjiang Feng; Cheng Jin; Xiaoyu Han; Hanping Wu; Heshui Shi

doi:10.1148/ryct.2020200082

Longitudinal assessment of covid-19 using a deep learning–based quantitative ct pipeline: Illustration of two cases

Yukun Cao, Zhanwei Xu, Jianjiang Feng, Cheng Jin, Xiaoyu Han, Hanping Wu, Heshui Shi

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Article number	e200082
Journal	Radiology: Cardiothoracic Imaging
Volume	2
Issue number	2
DOIs	https://doi.org/10.1148/ryct.2020200082
State	Published - Apr 2020
Externally published	Yes

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1148/ryct.2020200082

Cite this

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title = "Longitudinal assessment of covid-19 using a deep learning–based quantitative ct pipeline: Illustration of two cases",

author = "Yukun Cao and Zhanwei Xu and Jianjiang Feng and Cheng Jin and Xiaoyu Han and Hanping Wu and Heshui Shi",

year = "2020",

month = apr,

doi = "10.1148/ryct.2020200082",

language = "English (US)",

volume = "2",

journal = "Radiology: Cardiothoracic Imaging",

issn = "2638-6135",

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

number = "2",

}

TY - JOUR

T1 - Longitudinal assessment of covid-19 using a deep learning–based quantitative ct pipeline

T2 - Illustration of two cases

AU - Cao, Yukun

AU - Xu, Zhanwei

AU - Feng, Jianjiang

AU - Jin, Cheng

AU - Han, Xiaoyu

AU - Wu, Hanping

AU - Shi, Heshui

PY - 2020/4

Y1 - 2020/4

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U2 - 10.1148/ryct.2020200082

DO - 10.1148/ryct.2020200082

M3 - Comment/debate

AN - SCOPUS:85088142745

SN - 2638-6135

VL - 2

JO - Radiology: Cardiothoracic Imaging

JF - Radiology: Cardiothoracic Imaging

IS - 2

M1 - e200082

ER -

Longitudinal assessment of covid-19 using a deep learning–based quantitative ct pipeline: Illustration of two cases

ASJC Scopus subject areas

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