PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea.\', \'Division of Pulmonology and Allergy, Department of Internal Medicine, Regional Center for Respiratory Diseases, Yeungnam University Medical Center, College of Medicine, Yeungnam University, Daegu, Korea.\', \'Department of Radiology, Seoul National University Hospital, Seoul, Korea.\', \'Robotics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea. shpark13135@dgist.ac.kr.\', \'Division of Pulmonology and Allergy, Department of Internal Medicine, Regional Center for Respiratory Diseases, Yeungnam University Medical Center, College of Medicine, Yeungnam University, Daegu, Korea. fireajh@gmail.com.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.3346/jkms.2021.36.e46
?:hasPublicationType
?:journal
  • Journal of Korean medical science
is ?:pmid of
?:pmid
?:pmid
  • 33527788
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.692
?:rankingScore_hIndex
  • 53
is ?:relation_isRelatedTo_publication of
?:title
  • Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective.
?:type
?:year
  • 2021

Metadata

Anon_0  
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/net/provenance/ns#DataItem>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/03/trix/rdfg-1/Graph>
<http://xmlns.com/foaf/0.1/primaryTopic> <https://research.tib.eu/covid-19/entity/33527788>
<http://xmlns.com/foaf/0.1/topic> Anon_0
<http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#realizes> <https://research.tib.eu/covid-19/data/entity/33527788>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all