{"id":"https://openalex.org/W2945473691","doi":"https://doi.org/10.3233/978-1-61499-971-3-192","title":"Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning","display_name":"Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2945473691","doi":"https://doi.org/10.3233/978-1-61499-971-3-192","mag":"2945473691","pmid":"https://pubmed.ncbi.nlm.nih.gov/31118337"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-971-3-192","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-971-3-192","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lüneburg Noël","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lüneburg Noël","raw_affiliation_strings":["Target Holding, Groningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Target Holding, Groningen, The Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Reiss Nils","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111452","display_name":"Sch\u00fcchtermann-Klinik","ror":"https://ror.org/01s3wfa18","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210111452"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reiss Nils","raw_affiliation_strings":["Sch\u00fcchtermann-Schiller'sche Kliniken, Bad Rothenfelde, Germany"],"affiliations":[{"raw_affiliation_string":"Sch\u00fcchtermann-Schiller'sche Kliniken, Bad Rothenfelde, Germany","institution_ids":["https://openalex.org/I4210111452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112344793","display_name":"Christina Feldmann","orcid":null},"institutions":[{"id":"https://openalex.org/I34809795","display_name":"Medizinische Hochschule Hannover","ror":"https://ror.org/00f2yqf98","country_code":"DE","type":"education","lineage":["https://openalex.org/I34809795"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Feldmann Christina","raw_affiliation_strings":["Hannover Medical School, Department for Cardiothoracic, Transplantation and Vascular Surgery, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Hannover Medical School, Department for Cardiothoracic, Transplantation and Vascular Surgery, Hannover, Germany","institution_ids":["https://openalex.org/I34809795"]}]},{"author_position":"middle","author":{"id":null,"display_name":"van der Meulen Pim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"van der Meulen Pim","raw_affiliation_strings":["Target Holding, Groningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Target Holding, Groningen, The Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"van de Steeg Michiel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"van de Steeg Michiel","raw_affiliation_strings":["Target Holding, Groningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Target Holding, Groningen, The Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051936024","display_name":"Thomas Schmidt","orcid":"https://orcid.org/0000-0003-4977-8414"},"institutions":[{"id":"https://openalex.org/I4210111452","display_name":"Sch\u00fcchtermann-Klinik","ror":"https://ror.org/01s3wfa18","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210111452"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Schmidt Thomas","raw_affiliation_strings":["Sch\u00fcchtermann-Schiller'sche Kliniken, Bad Rothenfelde, Germany"],"affiliations":[{"raw_affiliation_string":"Sch\u00fcchtermann-Schiller'sche Kliniken, Bad Rothenfelde, Germany","institution_ids":["https://openalex.org/I4210111452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026808793","display_name":"Regina Wendl","orcid":null},"institutions":[{"id":"https://openalex.org/I34809795","display_name":"Medizinische Hochschule Hannover","ror":"https://ror.org/00f2yqf98","country_code":"DE","type":"education","lineage":["https://openalex.org/I34809795"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wendl Regina","raw_affiliation_strings":["Hannover Medical School, Department for Cardiothoracic, Transplantation and Vascular Surgery, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Hannover Medical School, Department for Cardiothoracic, Transplantation and Vascular Surgery, Hannover, Germany","institution_ids":["https://openalex.org/I34809795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042256696","display_name":"Sybren Jansen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jansen Sybren","raw_affiliation_strings":["Target Holding, Groningen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Target Holding, Groningen, The Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.681,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.96678322,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"260","issue":null,"first_page":"192","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11861","display_name":"Thermal Regulation in Medicine","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11861","display_name":"Thermal Regulation in Medicine","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9079999923706055,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7140247225761414},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5633823871612549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5578417778015137},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5493443012237549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5141230225563049},{"id":"https://openalex.org/keywords/ventricular-assist-device","display_name":"Ventricular assist device","score":0.493203341960907},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.46549829840660095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4285888373851776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3438207507133484},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3192480206489563},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.18579548597335815},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.10616058111190796}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7140247225761414},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5633823871612549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5578417778015137},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5493443012237549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5141230225563049},{"id":"https://openalex.org/C2778774980","wikidata":"https://www.wikidata.org/wiki/Q2897721","display_name":"Ventricular assist device","level":3,"score":0.493203341960907},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46549829840660095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4285888373851776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3438207507133484},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3192480206489563},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.18579548597335815},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.10616058111190796},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006353","descriptor_name":"Heart-Assist Devices","qualifier_ui":"Q000009","qualifier_name":"adverse effects","is_major_topic":true},{"descriptor_ui":"D006353","descriptor_name":"Heart-Assist Devices","qualifier_ui":"Q000009","qualifier_name":"adverse effects","is_major_topic":true},{"descriptor_ui":"D006353","descriptor_name":"Heart-Assist Devices","qualifier_ui":"Q000009","qualifier_name":"adverse effects","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014946","descriptor_name":"Wound Infection","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D014946","descriptor_name":"Wound Infection","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D014946","descriptor_name":"Wound Infection","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D016459","descriptor_name":"Prosthesis-Related Infections","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016459","descriptor_name":"Prosthesis-Related Infections","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016459","descriptor_name":"Prosthesis-Related Infections","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-971-3-192","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-971-3-192","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:31118337","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31118337","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2111089196","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"The":[0,93],"steady":[1],"increase":[2],"in":[3,68,91,98,122,136],"the":[4,82,103,123,130],"number":[5],"of":[6,73,84,87,96,132],"patients":[7],"equipped":[8],"with":[9,22],"mechanical":[10],"heart":[11],"support":[12],"implants,":[13],"such":[14],"as":[15],"left":[16],"ventricular":[17],"assist":[18],"devices":[19],"(LVAD),":[20],"along":[21],"virtually":[23],"ubiquitous":[24],"24/7":[25],"internet":[26],"connectivity":[27],"coverage":[28],"is":[29,78,100],"motive":[30],"to":[31,46,80,102,138],"investigate":[32],"and":[33,142],"develop":[34],"remote":[35],"patient":[36],"monitoring.":[37],"In":[38],"this":[39],"study":[40],"we":[41],"explore":[42],"machine":[43],"learning":[44],"approaches":[45],"infection":[47,89],"severity":[48],"recognition":[49],"on":[50],"driveline":[51,64],"exit":[52],"site":[53],"images.":[54],"We":[55,128],"apply":[56],"a":[57,69],"U-net":[58],"convolutional":[59],"neural":[60],"network":[61],"(CNN)":[62],"for":[63,112,125],"tube":[65],"segmentation,":[66],"resulting":[67,94],"Dice":[70],"score":[71],"coefficient":[72],"0.95.":[74],"A":[75],"classification":[76],"CNN":[77],"trained":[79],"predict":[81],"membership":[83],"one":[85],"out":[86],"three":[88],"classes":[90],"photographs.":[92],"accuracy":[95],"67%":[97],"total":[99],"close":[101],"measured":[104],"expert":[105],"level":[106],"performance,":[107],"which":[108],"indicates":[109],"that":[110],"also":[111],"human":[113],"experts":[114],"there":[115],"may":[116],"not":[117],"be":[118],"enough":[119],"information":[120],"present":[121],"photographs":[124],"accurate":[126],"assessment.":[127],"suggest":[129],"inclusion":[131],"thermographic":[133],"image":[134],"data":[135],"order":[137],"better":[139],"resolve":[140],"mild":[141],"severe":[143],"infections.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}