{"id":"https://openalex.org/W3202353378","doi":"https://doi.org/10.1109/tvcg.2021.3114851","title":"<i>COVID</i>-view: Diagnosis of COVID-19 using Chest CT","display_name":"<i>COVID</i>-view: Diagnosis of COVID-19 using Chest CT","publication_year":2021,"publication_date":"2021-09-29","ids":{"openalex":"https://openalex.org/W3202353378","doi":"https://doi.org/10.1109/tvcg.2021.3114851","mag":"3202353378"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2021.3114851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114851","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8981756","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shreeraj Jadhav","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shreeraj Jadhav","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gaofeng Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaofeng Deng","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marlene Zawin","orcid":null},"institutions":[{"id":"https://openalex.org/I2801410363","display_name":"Stony Brook University Hospital","ror":"https://ror.org/05wyq9e07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2801410363"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marlene Zawin","raw_affiliation_strings":["Department of Radiology, Stony Brook University Hospital, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Stony Brook University Hospital, USA","institution_ids":["https://openalex.org/I2801410363"]}]},{"author_position":"last","author":{"id":null,"display_name":"Arie E. Kaufman","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arie E. Kaufman","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":2.924,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91415648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"28","issue":"1","first_page":"227","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9717000126838684,"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":0.9717000126838684,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.002099999925121665,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.001500000013038516,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7134000062942505},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6672000288963318},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5041000247001648},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4368000030517578},{"id":"https://openalex.org/keywords/patient-data","display_name":"Patient data","score":0.38260000944137573},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.366100013256073},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.33559998869895935},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.3156000077724457}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7134000062942505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7006000280380249},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6672000288963318},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5511000156402588},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5041000247001648},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4368000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4320000112056732},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.366100013256073},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3497999906539917},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.2994999885559082},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2824999988079071},{"id":"https://openalex.org/C3019831412","wikidata":"https://www.wikidata.org/wiki/Q5778278","display_name":"Fully automatic","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25450000166893005},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2021.3114851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114851","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8981756","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8981756","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Vis Comput Graph","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8981756","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8981756","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Vis Comput Graph","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1693036101","display_name":null,"funder_award_id":"OAC1919752","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2992736727","display_name":null,"funder_award_id":"CNS1650499","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3609429297","display_name":null,"funder_award_id":"IIS2107224","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4219678919","display_name":"I/UCRC: Center for Visual and Decision Informatics (CVDI) Site at SUNY Stony Brook","funder_award_id":"1650499","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4406407351","display_name":null,"funder_award_id":"OVPR-IEDM","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4644997318","display_name":"III: Medium: Collaborative Research: Situated Visual Information Spaces","funder_award_id":"2107224","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7546585312","display_name":"CoPe: RCN: A Coastal Alliance Network for Visualization, Assessment, Science, and Stakeholders (CANVASS) for Convergent Environmental Problem Solving","funder_award_id":"1940302","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8343648689","display_name":null,"funder_award_id":"ICER1940302","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/F4320331904","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W78661028","https://openalex.org/W1497143265","https://openalex.org/W1498712972","https://openalex.org/W1787274178","https://openalex.org/W1951374550","https://openalex.org/W2010792435","https://openalex.org/W2025502801","https://openalex.org/W2045898750","https://openalex.org/W2048086545","https://openalex.org/W2093513099","https://openalex.org/W2098376727","https://openalex.org/W2099973502","https://openalex.org/W2104795754","https://openalex.org/W2108598243","https://openalex.org/W2110119381","https://openalex.org/W2125780823","https://openalex.org/W2129534965","https://openalex.org/W2142652344","https://openalex.org/W2152978524","https://openalex.org/W2158078255","https://openalex.org/W2159751112","https://openalex.org/W2163142220","https://openalex.org/W2170797458","https://openalex.org/W2194775991","https://openalex.org/W2269649163","https://openalex.org/W2531897166","https://openalex.org/W2624218896","https://openalex.org/W2746791238","https://openalex.org/W2751312377","https://openalex.org/W2768353768","https://openalex.org/W2768919623","https://openalex.org/W2793052661","https://openalex.org/W2962858109","https://openalex.org/W2963749936","https://openalex.org/W2969885416","https://openalex.org/W2981313139","https://openalex.org/W3006643024","https://openalex.org/W3007170347","https://openalex.org/W3008985036","https://openalex.org/W3011149445","https://openalex.org/W3012774668","https://openalex.org/W3017451406","https://openalex.org/W3019613751","https://openalex.org/W3020653337","https://openalex.org/W3024506939","https://openalex.org/W3025948831","https://openalex.org/W3026931681","https://openalex.org/W3027763298","https://openalex.org/W3028070348","https://openalex.org/W3032355258","https://openalex.org/W3032912912","https://openalex.org/W3045333529","https://openalex.org/W3048123412","https://openalex.org/W3049757379","https://openalex.org/W3054666633","https://openalex.org/W3081515813","https://openalex.org/W3085360812","https://openalex.org/W3091940685","https://openalex.org/W3094388274","https://openalex.org/W3130661843","https://openalex.org/W4238855324","https://openalex.org/W4239721925","https://openalex.org/W6600123056","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6655420356","https://openalex.org/W6729114209","https://openalex.org/W6739696289","https://openalex.org/W6747701563","https://openalex.org/W6766978945","https://openalex.org/W6777714645","https://openalex.org/W6779911578","https://openalex.org/W6783798913"],"related_works":[],"abstract_inverted_index":{"Significant":[0],"work":[1],"has":[2],"been":[3],"done":[4],"towards":[5],"deep":[6],"learning":[7],"(DL)":[8],"models":[9],"for":[10,50,102,115,129,145,179,195],"automatic":[11,66],"lung":[12,71,187],"and":[13,16,77,80,95,136,151,160,183,192,205],"lesion":[14],"segmentation":[15],"classification":[17],"of":[18,35,65,70,90,164,186,198,214],"COVID-19":[19,36,54,121,199],"on":[20,29],"chest":[21,56,176],"CT":[22,57,177],"data.":[23,58],"However,":[24],"comprehensive":[25,105],"visualization":[26,46,97],"systems":[27],"focused":[28],"supporting":[30],"the":[31,86,117,130,138,146,196],"dual":[32],"visual+DL":[33],"diagnosis":[34,197],"are":[37],"non-existent.":[38],"We":[39,149,189],"present":[40,190],"<italic":[41,107,133,153],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[42,108,134,154],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">COVID-view</i>":[43,109,135,155],",":[44],"a":[45,62,103,111,126,208],"application":[47],"specially":[48],"tailored":[49],"radiologists":[51,91,170],"to":[52],"diagnose":[53],"from":[55],"The":[59],"system":[60,84,210],"incorporates":[61,110],"complete":[63],"pipeline":[64],"lungs":[67],"segmentation,":[68],"localization/isolation":[69],"abnormalities,":[72],"followed":[73],"by":[74,168],"visualization,":[75],"visual":[76],"DL":[78,100,113,144],"analysis,":[79],"measurement/quantification":[81],"tools.":[82],"Our":[83],"combines":[85],"traditional":[87],"2D":[88,94],"workflow":[89],"with":[92,99],"newer":[93],"3D":[96],"techniques":[98],"support":[101],"more":[104],"diagnosis.":[106],"novel":[112],"model":[114,147],"classifying":[116],"patients":[118],"into":[119],"positive/negative":[120],"cases,":[122],"which":[123,211],"acts":[124],"as":[125,141],"reading":[127],"aid":[128],"radiologist":[131],"using":[132],"provides":[137],"attention":[139],"heatmap":[140],"an":[142],"explainable":[143],"output.":[148],"designed":[150],"evaluated":[152],"through":[156],"suggestions,":[157],"close":[158],"feedback":[159],"conducting":[161],"case":[162],"studies":[163],"real-world":[165,216],"patient":[166,217],"data":[167],"expert":[169],"who":[171],"have":[172],"substantial":[173],"experience":[174],"diagnosing":[175],"scans":[178],"COVID-19,":[180],"pulmonary":[181],"embolism,":[182],"other":[184],"forms":[185],"infections.":[188],"requirements":[191],"task":[193],"analysis":[194],"that":[200],"motivate":[201],"our":[202],"design":[203],"choices":[204],"results":[206],"in":[207],"practical":[209],"is":[212],"capable":[213],"handling":[215],"cases.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2021-10-11T00:00:00"}
