{"id":"https://openalex.org/W4220723325","doi":"https://doi.org/10.1186/s12880-022-00759-9","title":"A deep learning framework for automated detection and quantitative assessment of liver trauma","display_name":"A deep learning framework for automated detection and quantitative assessment of liver trauma","publication_year":2022,"publication_date":"2022-03-08","ids":{"openalex":"https://openalex.org/W4220723325","doi":"https://doi.org/10.1186/s12880-022-00759-9","pmid":"https://pubmed.ncbi.nlm.nih.gov/35260105"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-022-00759-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-022-00759-9","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-022-00759-9","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-022-00759-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064289969","display_name":"Negar Farzaneh","orcid":"https://orcid.org/0000-0003-1200-5274"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210114445","display_name":"Michigan Medicine","ror":"https://ror.org/01zcpa714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114445"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Negar Farzaneh","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA. negarf@umich.edu","Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, 48109, USA. negarf@umich.edu","The Max Harry Weil Institute for Critical Care Research & Innovation, University of Michigan, Ann Arbor, MI, 48109, USA. negarf@umich.edu","Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA"],"raw_orcid":"https://orcid.org/0000-0003-1200-5274","affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA. negarf@umich.edu","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, 48109, USA. negarf@umich.edu","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"]},{"raw_affiliation_string":"The Max Harry Weil Institute for Critical Care Research & Innovation, University of Michigan, Ann Arbor, MI, 48109, USA. negarf@umich.edu","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021479694","display_name":"Erica B. Stein","orcid":"https://orcid.org/0000-0002-7339-8107"},"institutions":[{"id":"https://openalex.org/I4210114445","display_name":"Michigan Medicine","ror":"https://ror.org/01zcpa714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114445"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erica B. Stein","raw_affiliation_strings":["Department of Radiology, Michigan Medicine, Ann Arbor, MI, 48109, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Michigan Medicine, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I4210114445"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023608941","display_name":"S. M. Reza Soroushmehr","orcid":"https://orcid.org/0000-0001-8417-9260"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Soroushmehr","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA","Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, MI, 48109, USA","The Max Harry Weil Institute for Critical Care Research & Innovation, University of Michigan, Ann Arbor, MI, 48109, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"The Max Harry Weil Institute for Critical Care Research & Innovation, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031330604","display_name":"Jonathan Gryak","orcid":"https://orcid.org/0000-0002-5125-7741"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Gryak","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA","Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, MI, 48109, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067697464","display_name":"Kayvan Najarian","orcid":"https://orcid.org/0000-0003-4485-6612"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kayvan Najarian","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA","Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA","Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, 48109, USA","Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, MI, 48109, USA","The Max Harry Weil Institute for Critical Care Research & Innovation, University of Michigan, Ann Arbor, MI, 48109, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Michigan Institute for Data Science (MIDAS), University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"The Max Harry Weil Institute for Critical Care Research & Innovation, University of Michigan, Ann Arbor, MI, 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064289969"],"corresponding_institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210114445"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":5.2556,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96542996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"39","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11267","display_name":"Abdominal Trauma and Injuries","score":0.6934000253677368,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11267","display_name":"Abdominal Trauma and Injuries","score":0.6934000253677368,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11467","display_name":"Trauma and Emergency Care Studies","score":0.23420000076293945,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency 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/T11487","display_name":"Automotive and Human Injury Biomechanics","score":0.009800000116229057,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/liver-parenchyma","display_name":"Liver parenchyma","score":0.7295560836791992},{"id":"https://openalex.org/keywords/triage","display_name":"Triage","score":0.6365192532539368},{"id":"https://openalex.org/keywords/parenchyma","display_name":"Parenchyma","score":0.6179655194282532},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6120513081550598},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.5563753247261047},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.507991373538971},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4173433780670166},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41137364506721497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4112424850463867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3881273567676544},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.22943639755249023},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.14925700426101685}],"concepts":[{"id":"https://openalex.org/C2994599478","wikidata":"https://www.wikidata.org/wiki/Q9368","display_name":"Liver parenchyma","level":2,"score":0.7295560836791992},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.6365192532539368},{"id":"https://openalex.org/C196822366","wikidata":"https://www.wikidata.org/wiki/Q270524","display_name":"Parenchyma","level":2,"score":0.6179655194282532},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6120513081550598},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5563753247261047},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.507991373538971},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4173433780670166},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41137364506721497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4112424850463867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3881273567676544},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.22943639755249023},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.14925700426101685}],"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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12880-022-00759-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-022-00759-9","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-022-00759-9","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:35260105","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35260105","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":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/173589","is_oa":false,"landing_page_url":"https://hdl.handle.net/2027.42/173589","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:bcd392c4964d4ca68c916eb286b44d70","is_oa":true,"landing_page_url":"https://doaj.org/article/bcd392c4964d4ca68c916eb286b44d70","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 22, Iss 1, Pp 1-13 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8905785","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8905785","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12880-022-00759-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-022-00759-9","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-022-00759-9","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G1926787275","display_name":null,"funder_award_id":"LM012946-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G224484793","display_name":null,"funder_award_id":"F31 LM012946","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G413054856","display_name":"PFI: AIR-TT: Prototype Scale-up for Traumatic Pelvic and Abdominal Injury Decision Support System (DSS)","funder_award_id":"1500124","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220723325.pdf","grobid_xml":"https://content.openalex.org/works/W4220723325.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W114529458","https://openalex.org/W1541591576","https://openalex.org/W1880921781","https://openalex.org/W1901129140","https://openalex.org/W1975682734","https://openalex.org/W2003169355","https://openalex.org/W2015795623","https://openalex.org/W2030208601","https://openalex.org/W2044040888","https://openalex.org/W2049503784","https://openalex.org/W2071996924","https://openalex.org/W2094843318","https://openalex.org/W2098223416","https://openalex.org/W2105389188","https://openalex.org/W2116040950","https://openalex.org/W2142054519","https://openalex.org/W2153431772","https://openalex.org/W2305123763","https://openalex.org/W2357815549","https://openalex.org/W2411410184","https://openalex.org/W2526009326","https://openalex.org/W2533932519","https://openalex.org/W2588655586","https://openalex.org/W2590099728","https://openalex.org/W2672904231","https://openalex.org/W2767209737","https://openalex.org/W2810349670","https://openalex.org/W2899461696","https://openalex.org/W2913941036","https://openalex.org/W2943580940","https://openalex.org/W2947798718","https://openalex.org/W2979374073","https://openalex.org/W3001746203","https://openalex.org/W3007541095","https://openalex.org/W3015508511","https://openalex.org/W3089917316","https://openalex.org/W3122093103","https://openalex.org/W4249532638","https://openalex.org/W4253779477","https://openalex.org/W6675578255"],"related_works":["https://openalex.org/W2249216886","https://openalex.org/W2400327363","https://openalex.org/W2351041198","https://openalex.org/W4244623646","https://openalex.org/W1588557264","https://openalex.org/W2034955433","https://openalex.org/W2122717341","https://openalex.org/W1969191901","https://openalex.org/W2055222686","https://openalex.org/W2426292519"],"abstract_inverted_index":{"BACKGROUND:":[0],"Both":[1],"early":[2],"detection":[3],"and":[4,15,33,55,120,123,145,166,198,218,234,241,303,317],"severity":[5,98,247],"assessment":[6,27,355],"of":[7,17,28,51,68,78,85,114,148,183,207,227,257,263,333,356],"liver":[8,70,88,96,116,149,164,185,221,239,242,264,283,298,316,334,357],"trauma":[9,18,21,97,127,150,167,243,358],"are":[10,49,172,232,310],"critical":[11,346],"for":[12,82,279],"optimal":[13],"triage":[14],"management":[16],"patients.":[19],"Current":[20],"protocols":[22],"utilize":[23],"computed":[24,179],"tomography":[25],"(CT)":[26],"injuries":[29],"in":[30,237,259,275,329],"a":[31,253,342,352],"subjective":[32,365],"qualitative":[34],"(v.s.":[35],"quantitative)":[36],"fashion,":[37],"shortcomings":[38],"which":[39],"could":[40],"both":[41,115],"be":[42],"addressed":[43],"by":[44,73,126,190,267,321,339,350],"automated":[45],"computer-aided":[46],"systems":[47],"that":[48,109,187,289,336,369],"capable":[50],"generating":[52,162],"real-time":[53],"reproducible":[54,353],"quantitative":[56,354],"information.":[57],"This":[58,102,323],"study":[59],"outlines":[60],"an":[61,75,201,272,326,360],"end-to-end":[62],"pipeline":[63,324],"to":[64,94,156,312,362],"calculate":[65],"the":[66,69,79,83,91,136,143,154,163,169,181,184,205,228,249,261,290,315,318,331,363],"percentage":[67,262,332],"parenchyma":[71,117,165,186,240,265,335],"disrupted":[72,189,266],"trauma,":[74],"important":[76],"component":[77],"American":[80],"Association":[81],"Surgery":[84],"Trauma":[86],"(AAST)":[87],"injury":[89],"scale,":[90],"primary":[92],"tool":[93],"assess":[95],"at":[99],"CT.":[100],"METHODS:":[101],"framework":[103],"comprises":[104],"deep":[105],"convolutional":[106],"neural":[107],"networks":[108],"first":[110],"generate":[111],"initial":[112],"masks":[113],"(including":[118],"normal":[119],"affected":[121,125,320,338],"liver)":[122],"regions":[124,319],"using":[128],"three":[129],"dimensional":[130],"contrast-enhanced":[131],"CT":[132,214],"scans.":[133],"Next,":[134],"during":[135],"post-processing":[137],"step,":[138],"human":[139],"domain":[140],"knowledge":[141],"about":[142],"location":[144],"intensity":[146],"distribution":[147],"is":[151,177,188,292,337,370],"integrated":[152],"into":[153],"model":[155,195,251,270,291],"avoid":[157],"false":[158,277],"positive":[159],"regions.":[160,244],"After":[161],"masks,":[168],"corresponding":[170],"volumes":[171],"calculated.":[173],"Liver":[174],"parenchymal":[175,222,284],"disruption":[176],"then":[178],"as":[180,359],"volume":[182],"trauma.":[191,268,285,322,340],"RESULTS:":[192],"The":[193,224,269,307],"proposed":[194,229,250,308],"was":[196],"trained":[197],"validated":[199],"on":[200,294],"internal":[202],"dataset":[203],"from":[204],"University":[206],"Michigan":[208],"Health":[209],"System":[210],"(UMHS)":[211],"including":[212,300],"77":[213],"scans":[215],"(34":[216],"with":[217,296],"43":[219],"without":[220,281],"trauma).":[223],"Dice/recall/precision":[225],"coefficients":[226],"segmentation":[230],"models":[231],"96.13/96.00/96.35%":[233],"51.21/53.20/56.76%,":[235],"respectively,":[236],"segmenting":[238],"In":[245],"volume-based":[246],"analysis,":[248],"yields":[252],"linear":[254],"regression":[255],"relation":[256],"0.95":[258],"estimating":[260,330],"shows":[271],"accurate":[273,327],"performance":[274,328],"avoiding":[276],"positives":[278],"patients":[280,295],"any":[282],"These":[286],"results":[287],"indicate":[288],"generalizable":[293],"pre-existing":[297],"conditions,":[299],"fatty":[301],"livers":[302],"congestive":[304],"hepatopathy.":[305],"CONCLUSION:":[306],"algorithms":[309],"able":[311],"accurately":[313],"segment":[314],"demonstrates":[325],"Such":[341],"system":[343,368],"can":[344],"aid":[345],"care":[347],"medical":[348],"personnel":[349],"providing":[351],"alternative":[361],"sometimes":[364],"AAST":[366],"grading":[367],"used":[371],"currently.":[372]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}