| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C0002045> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C0008794> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C0024109> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C0032310> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C0040405> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C0206750> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C0600352> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C1615608> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C2350050> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C3694279> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C4704761> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C5203676> <https://research.tib.eu/covid-19/entity/32730215_HAS_TOPIC_C5392141>
?:authorAffiliation	[]
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Huang_Ning> <https://research.tib.eu/covid-19/entity/Li_Chaoping> <https://research.tib.eu/covid-19/entity/Li_Kang> <https://research.tib.eu/covid-19/entity/Liu_Xinglong> <https://research.tib.eu/covid-19/entity/Meng_Tao> <https://research.tib.eu/covid-19/entity/Ruan_Jiugen> <https://research.tib.eu/covid-19/entity/Wang_Guotai> <https://research.tib.eu/covid-19/entity/Xu_Zhiyong> <https://research.tib.eu/covid-19/entity/Zhang_Shaoting> <https://research.tib.eu/covid-19/entity/Zhu_Haifeng>
?:doi	10.1109/TMI.2020.3000314
?:doi	<https://research.tib.eu/covid-19/entity/10.1109/TMI.2020.3000314>
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article>
?:journal	IEEE transactions on medical imaging
is ?:pmid of	<https://research.tib.eu/covid-19/entity/32730215>
?:pmid	<https://research.tib.eu/covid-19/entity/32730215>
?:pmid	32730215
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	1.895
?:rankingScore_hIndex	187
?:title	A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2020

Metadata

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