{"id":"https://openalex.org/W4394032688","doi":"https://doi.org/10.5281/zenodo.8328230","title":"Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network","display_name":"Automated detection, segmentation and classification of pericardial effusions on chest CT using a deep convolutional neural network","publication_year":2023,"publication_date":"2023-09-08","ids":{"openalex":"https://openalex.org/W4394032688","doi":"https://doi.org/10.5281/zenodo.8328230"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.8328230","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8328230","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.8328230","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015459828","display_name":"Adrian Wilder-Smith","orcid":"https://orcid.org/0000-0001-7662-4248"},"institutions":[{"id":"https://openalex.org/I2802542264","display_name":"University Hospital of Basel","ror":"https://ror.org/04k51q396","country_code":"CH","type":"healthcare","lineage":["https://openalex.org/I2802542264"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Wilder-Smith, Adrian","raw_affiliation_strings":["University Hospital of Basel"],"raw_orcid":"https://orcid.org/0000-0001-7662-4248","affiliations":[{"raw_affiliation_string":"University Hospital of Basel","institution_ids":["https://openalex.org/I2802542264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109593038","display_name":"Shan Yang","orcid":"https://orcid.org/0000-0002-5209-0576"},"institutions":[{"id":"https://openalex.org/I2802542264","display_name":"University Hospital of Basel","ror":"https://ror.org/04k51q396","country_code":"CH","type":"healthcare","lineage":["https://openalex.org/I2802542264"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yang, Shan","raw_affiliation_strings":["University Hospital of Basel"],"raw_orcid":"https://orcid.org/0000-0002-5209-0576","affiliations":[{"raw_affiliation_string":"University Hospital of Basel","institution_ids":["https://openalex.org/I2802542264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802542264"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9591000080108643,"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"}},{"id":"https://openalex.org/T12291","display_name":"Pericarditis and Cardiac Tamponade","score":0.958299994468689,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7686955332756042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6761163473129272},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6445544362068176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5311172008514404},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4888157546520233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4652935266494751},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4599657654762268},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4380803108215332},{"id":"https://openalex.org/keywords/pericardial-effusion","display_name":"Pericardial effusion","score":0.4342750310897827},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.18850567936897278}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7686955332756042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6761163473129272},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6445544362068176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5311172008514404},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4888157546520233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4652935266494751},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4599657654762268},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4380803108215332},{"id":"https://openalex.org/C2781175549","wikidata":"https://www.wikidata.org/wiki/Q1306218","display_name":"Pericardial effusion","level":2,"score":0.4342750310897827},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.18850567936897278}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.8328230","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8328230","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.8328230","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8328230","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4206387354","https://openalex.org/W2025884080","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Test":[0],"data":[1],"set":[2]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
