| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C0008794> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C0040405> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C0600352> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C2350050> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C4042903> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C4046032> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C4046033> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C4046034> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C4046035> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C4046036> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C5203676> <https://research.tib.eu/covid-19/entity/34375293_HAS_TOPIC_C5392141>
?:authorAffiliation	[]
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Deng_Xuesong> <https://research.tib.eu/covid-19/entity/Deng_Zhe> <https://research.tib.eu/covid-19/entity/Dong_Li> <https://research.tib.eu/covid-19/entity/Dou_Qi> <https://research.tib.eu/covid-19/entity/Feng_Zuxin> <https://research.tib.eu/covid-19/entity/Heng_Pheng-Ann> <https://research.tib.eu/covid-19/entity/Li_Caizi> <https://research.tib.eu/covid-19/entity/Lin_Fan> <https://research.tib.eu/covid-19/entity/Si_Weixin> <https://research.tib.eu/covid-19/entity/Zhang_Kebao>
?:doi	<https://research.tib.eu/covid-19/entity/10.1109/JBHI.2021.3103646>
?:doi	10.1109/JBHI.2021.3103646
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article>
?:journal	IEEE journal of biomedical and health informatics
is ?:pmid of	<https://research.tib.eu/covid-19/entity/34375293>
?:pmid	<https://research.tib.eu/covid-19/entity/34375293>
?:pmid	34375293
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	0.991
?:rankingScore_hIndex	94
?:title	Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2021

Metadata

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