{"id":"https://openalex.org/W4308238063","doi":"https://doi.org/10.1109/icip46576.2022.9897656","title":"A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment","display_name":"A Deep Ensemble Learning Approach to Lung CT Segmentation for Covid-19 Severity Assessment","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308238063","doi":"https://doi.org/10.1109/icip46576.2022.9897656"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897656","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000419765","display_name":"Tal Ben-Haim","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Tal Ben-Haim","raw_affiliation_strings":["Ben-Gurion University,School of Electrical and Computer Engineering","School of Electrical and Computer Engineering, Ben-Gurion University"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University,School of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066631139","display_name":"Ron Moshe Sofer","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ron Moshe Sofer","raw_affiliation_strings":["Ben-Gurion University,School of Electrical and Computer Engineering","School of Electrical and Computer Engineering, Ben-Gurion University"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University,School of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081236453","display_name":"Gal Ben\u2010Arie","orcid":"https://orcid.org/0000-0003-3862-2086"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]},{"id":"https://openalex.org/I2800633300","display_name":"Soroka Medical Center","ror":"https://ror.org/003sphj24","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I2800633300","https://openalex.org/I64767286"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Gal Ben-Arie","raw_affiliation_strings":["Soroka Medical Center,Department of Radiology","Department of Health Sciences, Ben-Gurion University","Department of Radiology, Soroka Medical Center"],"affiliations":[{"raw_affiliation_string":"Soroka Medical Center,Department of Radiology","institution_ids":["https://openalex.org/I2800633300"]},{"raw_affiliation_string":"Department of Health Sciences, Ben-Gurion University","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"Department of Radiology, Soroka Medical Center","institution_ids":["https://openalex.org/I2800633300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018979483","display_name":"Ilan Shelef","orcid":"https://orcid.org/0000-0002-8398-6455"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]},{"id":"https://openalex.org/I2800633300","display_name":"Soroka Medical Center","ror":"https://ror.org/003sphj24","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I2800633300","https://openalex.org/I64767286"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ilan Shelef","raw_affiliation_strings":["Soroka Medical Center,Department of Radiology","Department of Radiology, Soroka Medical Center","Department of Health Sciences, Ben-Gurion University"],"affiliations":[{"raw_affiliation_string":"Soroka Medical Center,Department of Radiology","institution_ids":["https://openalex.org/I2800633300"]},{"raw_affiliation_string":"Department of Radiology, Soroka Medical Center","institution_ids":["https://openalex.org/I2800633300"]},{"raw_affiliation_string":"Department of Health Sciences, Ben-Gurion University","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063831080","display_name":"Tammy Riklin Raviv","orcid":"https://orcid.org/0000-0003-2532-5875"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tammy Riklin Raviv","raw_affiliation_strings":["Ben-Gurion University,School of Electrical and Computer Engineering","School of Electrical and Computer Engineering, Ben-Gurion University"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University,School of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000419765"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":1.1175,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82622362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9943000078201294,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9884999990463257,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6813600063323975},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6710469126701355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627632737159729},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6001721024513245},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5637211203575134},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5480039119720459},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21996650099754333},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09564876556396484}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6813600063323975},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6710469126701355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627632737159729},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6001721024513245},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5637211203575134},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5480039119720459},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21996650099754333},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09564876556396484},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897656","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1987869189","https://openalex.org/W2107105977","https://openalex.org/W2108598243","https://openalex.org/W3013130152","https://openalex.org/W3014974815","https://openalex.org/W3016950572","https://openalex.org/W3021298060","https://openalex.org/W3022882668","https://openalex.org/W3027763298","https://openalex.org/W3033272814","https://openalex.org/W3092266641","https://openalex.org/W3093455605","https://openalex.org/W3097673122","https://openalex.org/W3112701542","https://openalex.org/W3130108714","https://openalex.org/W3208176997","https://openalex.org/W6802995864"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,45,61,85],"novel":[3],"deep":[4],"learning":[5],"approach":[6],"to":[7,56,100,102],"categorical":[8],"segmentation":[9,58,64,95],"of":[10,13,109],"lung":[11,23,34,138],"CTs":[12],"COVID-19":[14,77,90,128],"patients.":[15],"Specifically,":[16],"we":[17],"partition":[18],"the":[19,57,103,106,126,136],"scans":[20],"into":[21],"healthy":[22],"tissues,":[24,35],"non-lung":[25],"regions,":[26],"and":[27,39,51,59,71,135,141],"two":[28,110],"different,":[29],"yet":[30],"visually":[31],"similar,":[32],"pathological":[33],"namely,":[36],"ground-glass":[37],"opacity":[38],"consolidation.":[40],"This":[41],"is":[42,81],"accomplished":[43],"via":[44],"unique,":[46],"end-to-end":[47],"hierarchical":[48],"network":[49],"architecture":[50],"ensemble":[52],"learning,":[53],"which":[54],"contribute":[55],"provide":[60],"measure":[62],"for":[63,75,89,120],"uncertainty.The":[65],"proposed":[66],"framework":[67],"achieves":[68],"competitive":[69],"results":[70,117],"outstanding":[72],"generalization":[73],"capabilities":[74],"three":[76],"datasets.":[78],"Our":[79],"method":[80],"ranked":[82],"second":[83],"in":[84],"public":[86],"Kaggle":[87],"competition":[88],"CT":[91],"images":[92],"segmentation.":[93],"Moreover,":[94],"uncertainty":[96],"regions":[97],"are":[98,118,143],"shown":[99,119],"correspond":[101],"disagreements":[104],"between":[105],"manual":[107],"annotations":[108],"different":[111],"radiologists.":[112],"Finally,":[113],"preliminary":[114],"promising":[115],"correspondence":[116],"our":[121,146],"private":[122],"dataset":[123],"when":[124],"comparing":[125],"patients\u2019":[127],"severity":[129],"scores":[130],"(based":[131],"on":[132],"clinical":[133],"measures),":[134],"segmented":[137],"pathologies.":[139],"Code":[140],"data":[142],"available":[144],"at":[145],"repository":[147],"<sup":[148],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[150],".":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
