| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C0008794> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C0024109> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C0034565> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C0040405> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C0079199> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C0600352> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C2350050> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C4704761> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/34033549_HAS_TOPIC_C5392141>
?:authorAffiliation	[]
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Chen_Chao> <https://research.tib.eu/covid-19/entity/Chen_Qingqing> <https://research.tib.eu/covid-19/entity/Chen_Yen-Wei> <https://research.tib.eu/covid-19/entity/Hu_Hongjie> <https://research.tib.eu/covid-19/entity/Iwamoto_Yutaro> <https://research.tib.eu/covid-19/entity/Kitrungrotsakul_Titinunt> <https://research.tib.eu/covid-19/entity/Li_Jingsong> <https://research.tib.eu/covid-19/entity/Lin_Lanfen> <https://research.tib.eu/covid-19/entity/Tong_Ruofeng> <https://research.tib.eu/covid-19/entity/Wu_Huitao> <https://research.tib.eu/covid-19/entity/Xu_Fangyi> <https://research.tib.eu/covid-19/entity/Zhou_Yong> <https://research.tib.eu/covid-19/entity/Zhu_Wenchao>
?:doi	10.1109/JBHI.2021.3082527
?:doi	<https://research.tib.eu/covid-19/entity/10.1109/JBHI.2021.3082527>
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article> <https://research.tib.eu/covid-19/entity/Multicenter_Study> <https://research.tib.eu/covid-19/entity/Research_Support%2C_Non-U.S._Gov%27t>
?:journal	IEEE journal of biomedical and health informatics
is ?:pmid of	<https://research.tib.eu/covid-19/entity/34033549>
?:pmid	<https://research.tib.eu/covid-19/entity/34033549>
?:pmid	34033549
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	0.991
?:rankingScore_hIndex	94
is ?:relation_isRelatedTo_publication of	<https://research.tib.eu/covid-19/entity/C0007634_PART_OF_C0024109> <https://research.tib.eu/covid-19/entity/C0231224_PROCESS_OF_C0027361>
?:title	Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2021

Metadata

Anon_0

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<https://research.tib.eu/covid-19/data/entity/34033549>

<http://purl.org/net/provenance/ns#createdBy>

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