{"id":"https://openalex.org/W4379875857","doi":"https://doi.org/10.3390/s23125427","title":"DRU-Net: Pulmonary Artery Segmentation via Dense Residual U-Network with Hybrid Loss Function","display_name":"DRU-Net: Pulmonary Artery Segmentation via Dense Residual U-Network with Hybrid Loss Function","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4379875857","doi":"https://doi.org/10.3390/s23125427","pmid":"https://pubmed.ncbi.nlm.nih.gov/37420595"},"language":"en","primary_location":{"id":"doi:10.3390/s23125427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23125427","pdf_url":"https://www.mdpi.com/1424-8220/23/12/5427/pdf?version=1686204965","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/12/5427/pdf?version=1686204965","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067757331","display_name":"Manahil Zulfiqar","orcid":"https://orcid.org/0009-0002-5875-6049"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Manahil Zulfiqar","raw_affiliation_strings":["Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland","MedApp S.A., 30-150 Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"MedApp S.A., 30-150 Krakow, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081725595","display_name":"Maciej Stanuch","orcid":"https://orcid.org/0000-0002-6764-3815"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Stanuch","raw_affiliation_strings":["Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland","MedApp S.A., 30-150 Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"MedApp S.A., 30-150 Krakow, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015739274","display_name":"Marek Wodzi\u0144ski","orcid":"https://orcid.org/0000-0002-8076-6246"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek Wodzinski","raw_affiliation_strings":["Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland","MedApp S.A., 30-150 Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"MedApp S.A., 30-150 Krakow, Poland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073000204","display_name":"Andrzej Skalski","orcid":"https://orcid.org/0000-0003-2299-458X"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Andrzej Skalski","raw_affiliation_strings":["Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland","MedApp S.A., 30-150 Krakow, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Measurement and Electronics, AGH University of Science and Technology, 30-059 Krakow, Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"MedApp S.A., 30-150 Krakow, Poland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073000204"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.0549,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9191681,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"12","first_page":"5427","last_page":"5427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9645000100135803,"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/overfitting","display_name":"Overfitting","score":0.8020082116127014},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6787862181663513},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.6317229866981506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5965656042098999},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5280968546867371},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5064183473587036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4971762001514435},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.47975361347198486},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4725216031074524},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.38054895401000977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12086525559425354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12024170160293579},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09791684150695801}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8020082116127014},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6787862181663513},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.6317229866981506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5965656042098999},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5280968546867371},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5064183473587036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4971762001514435},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.47975361347198486},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4725216031074524},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.38054895401000977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12086525559425354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12024170160293579},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09791684150695801},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010820","descriptor_name":"Physicians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010820","descriptor_name":"Physicians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010820","descriptor_name":"Physicians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011651","descriptor_name":"Pulmonary Artery","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011651","descriptor_name":"Pulmonary Artery","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011651","descriptor_name":"Pulmonary Artery","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","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":"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:10.3390/s23125427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23125427","pdf_url":"https://www.mdpi.com/1424-8220/23/12/5427/pdf?version=1686204965","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37420595","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37420595","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10305594","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10305594","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10305594/pdf/sensors-23-05427.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:34021405f08d4d389a692aefcdcb3a9e","is_oa":true,"landing_page_url":"https://doaj.org/article/34021405f08d4d389a692aefcdcb3a9e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 12, p 5427 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/12/5427/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23125427","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 23; Issue 12; Pages: 5427","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23125427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23125427","pdf_url":"https://www.mdpi.com/1424-8220/23/12/5427/pdf?version=1686204965","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1974542962","display_name":null,"funder_award_id":"Sk\u0142odowska","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2689612763","display_name":null,"funder_award_id":"Marie","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2786304416","display_name":null,"funder_award_id":"Marie Sk\u0142odowska-Curie Action","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3034992542","display_name":null,"funder_award_id":"956470","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4106241395","display_name":null,"funder_award_id":"Not applicable","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4560245961","display_name":null,"funder_award_id":"956470","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"},{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5036817778","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innov","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5399556803","display_name":null,"funder_award_id":"This project has received funding from the Europea","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6100177302","display_name":null,"funder_award_id":"Sk\u0142odowska","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"},{"id":"https://openalex.org/G7901872499","display_name":null,"funder_award_id":"Marie","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"},{"id":"https://openalex.org/G7955706205","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8633428685","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innovat","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338337","display_name":"H2020 Marie Sk\u0142odowska-Curie Actions","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4379875857.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W130099911","https://openalex.org/W1901129140","https://openalex.org/W1973770233","https://openalex.org/W2011477996","https://openalex.org/W2070461514","https://openalex.org/W2070773268","https://openalex.org/W2106787323","https://openalex.org/W2116562602","https://openalex.org/W2145803225","https://openalex.org/W2149713271","https://openalex.org/W2161959735","https://openalex.org/W2168630917","https://openalex.org/W2464708700","https://openalex.org/W2734349601","https://openalex.org/W2895958824","https://openalex.org/W2913637767","https://openalex.org/W2945454095","https://openalex.org/W2962914239","https://openalex.org/W2990072994","https://openalex.org/W2996290406","https://openalex.org/W3092462072","https://openalex.org/W3092593798","https://openalex.org/W3160412534","https://openalex.org/W4220672190","https://openalex.org/W4223563200","https://openalex.org/W4238100585","https://openalex.org/W4283120248","https://openalex.org/W4285029194"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W2586273397","https://openalex.org/W4362597605","https://openalex.org/W2390936256","https://openalex.org/W1574414179","https://openalex.org/W2016385589","https://openalex.org/W2009559548","https://openalex.org/W3099765033","https://openalex.org/W3209312100"],"abstract_inverted_index":{"The":[0,41,92,125,139,155],"structure":[1,47,72],"and":[2,13,39,52,108,133,146,151],"topology":[3],"of":[4,26,73,105,122,165,168,175],"the":[5,18,23,27,37,70,74,103,106,112,120,123,131,144,162,172,176],"pulmonary":[6,28,42,75],"arteries":[7,38,43,177],"is":[8,31,66,90,94,116,178],"crucial":[9],"to":[10,22,34,68,101,118],"understand,":[11],"plan,":[12],"conduct":[14],"medical":[15],"treatment":[16],"in":[17,78,130,161],"thorax":[19],"area.":[20],"Due":[21],"complex":[24,46],"anatomy":[25],"vessels,":[29],"it":[30],"not":[32],"easy":[33],"distinguish":[35],"between":[36],"veins.":[40],"have":[44],"a":[45,59,81,86],"with":[48,85],"an":[49,128],"irregular":[50],"shape":[51],"adjacent":[53],"tissues,":[54],"which":[55],"makes":[56],"automatic":[57],"segmentation":[58],"challenging":[60,163],"task.":[61],"A":[62],"deep":[63],"neural":[64],"network":[65,93,107],"required":[67],"segment":[69],"topological":[71],"artery.":[76],"Therefore,":[77],"this":[79],"study,":[80],"Dense":[82],"Residual":[83],"U-Net":[84],"hybrid":[87,113],"loss":[88,114],"function":[89,115],"proposed.":[91],"trained":[95],"on":[96],"augmented":[97],"Computed":[98],"Tomography":[99],"volumes":[100],"improve":[102,119],"performance":[104,121],"prevent":[109],"overfitting.":[110],"Moreover,":[111],"implemented":[117],"network.":[124],"results":[126],"show":[127],"improvement":[129],"Dice":[132,145],"HD95":[134,147],"scores":[135,141,148],"over":[136],"state-of-the-art":[137],"techniques.":[138],"average":[140],"achieved":[142],"for":[143],"are":[149],"0.8775":[150],"4.2624":[152],"mm,":[153],"respectively.":[154],"proposed":[156],"method":[157],"will":[158],"support":[159],"physicians":[160],"task":[164],"preoperative":[166],"planning":[167],"thoracic":[169],"surgery,":[170],"where":[171],"correct":[173],"assessment":[174],"crucial.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}