{"id":"https://openalex.org/W3195931166","doi":"https://doi.org/10.1109/icip42928.2021.9506661","title":"Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data","display_name":"Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195931166","doi":"https://doi.org/10.1109/icip42928.2021.9506661","mag":"3195931166"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050585130","display_name":"Parnian Afshar","orcid":"https://orcid.org/0000-0002-8440-9836"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Parnian Afshar","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering, Concordia University,Montreal,Canada","Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087887047","display_name":"Shahin Heidarian","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shahin Heidarian","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,QC,Canada","Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,QC,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089551127","display_name":"Farnoosh Naderkhani","orcid":"https://orcid.org/0000-0003-1808-4073"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farnoosh Naderkhani","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering, Concordia University,Montreal,Canada","Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034218185","display_name":"Moezedin Javad Rafiee","orcid":"https://orcid.org/0000-0003-3746-6966"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Moezedin Javad Rafiee","raw_affiliation_strings":["McGill University,Department of Medicine and Diagnostic Radiology,Montreal,QC,Canada","Department of Medicine and Diagnostic Radiology, McGill University, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McGill University,Department of Medicine and Diagnostic Radiology,Montreal,QC,Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Department of Medicine and Diagnostic Radiology, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027263568","display_name":"Anastasia Oikonomou","orcid":"https://orcid.org/0000-0001-6996-237X"},"institutions":[{"id":"https://openalex.org/I1323843004","display_name":"Sunnybrook Health Science Centre","ror":"https://ror.org/03wefcv03","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004"]},{"id":"https://openalex.org/I2802362269","display_name":"Health Sciences Centre","ror":"https://ror.org/05pr37258","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I110535807","https://openalex.org/I2802362269"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Anastasia Oikonomou","raw_affiliation_strings":["Sunnybrook Health Sciences Centre,Department of Medical Imaging,Toronto,Canada","Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sunnybrook Health Sciences Centre,Department of Medical Imaging,Toronto,Canada","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I2802362269"]},{"raw_affiliation_string":"Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I2802362269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059152392","display_name":"Konstantinos N. Plataniotis","orcid":"https://orcid.org/0000-0003-3647-5473"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Konstantinos N. Plataniotis","raw_affiliation_strings":["University of Toronto,Department of Electrical and Computer Engineering,Toronto,Canada","Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Electrical and Computer Engineering,Toronto,Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058253407","display_name":"Arash Mohammadi","orcid":"https://orcid.org/0000-0003-1972-7923"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arash Mohammadi","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering, Concordia University,Montreal,Canada","Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3844,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89677728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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":1.0,"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":0.9811000227928162,"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":0.9646000266075134,"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.8271898627281189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6075831055641174},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5741373300552368},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.5738367438316345},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5523385405540466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5197334289550781},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.5126744508743286},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4943995475769043},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.48609232902526855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4517017900943756},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.44141268730163574},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.43620407581329346},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4216092824935913},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3407208323478699},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.14837071299552917},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08401268720626831}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.8271898627281189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075831055641174},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5741373300552368},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.5738367438316345},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5523385405540466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5197334289550781},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.5126744508743286},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4943995475769043},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.48609232902526855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4517017900943756},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.44141268730163574},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.43620407581329346},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4216092824935913},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3407208323478699},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.14837071299552917},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08401268720626831},{"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},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2058224795","https://openalex.org/W2095310800","https://openalex.org/W2481220693","https://openalex.org/W2785994986","https://openalex.org/W2809254203","https://openalex.org/W2911964244","https://openalex.org/W2918303104","https://openalex.org/W3007497549","https://openalex.org/W3010381061","https://openalex.org/W3011149445","https://openalex.org/W3013805242","https://openalex.org/W3015141576","https://openalex.org/W3017116151","https://openalex.org/W3020653337","https://openalex.org/W3022829019","https://openalex.org/W3023519397","https://openalex.org/W3033130830","https://openalex.org/W3038744550","https://openalex.org/W3044073468","https://openalex.org/W3054666633","https://openalex.org/W3082014768","https://openalex.org/W3093272769","https://openalex.org/W3103199493","https://openalex.org/W3122962899","https://openalex.org/W3159019058","https://openalex.org/W3162025526","https://openalex.org/W3197495624","https://openalex.org/W6636607670","https://openalex.org/W6748053814","https://openalex.org/W6775566838"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W3135126032","https://openalex.org/W4386937079","https://openalex.org/W2889302474"],"abstract_inverted_index":{"The":[0,25,160,176],"unprecedented":[1],"COVID-19":[2,31,68,96,151],"pandemic":[3],"has":[4,32],"been":[5],"remarkably":[6],"impacting":[7],"the":[8,30,34,44,48,64,93,102,114,165,171,174,181,186],"world":[9],"and":[10,72,130,146,152,196],"influencing":[11],"a":[12,54,89,119,136,156],"broad":[13],"aspect":[14],"of":[15,29,36,92,122,173,191,194,198],"people\u2019s":[16],"lives":[17],"since":[18],"its":[19],"first":[20],"emergence":[21],"in":[22,47],"late":[23],"2019.":[24],"highly":[26,99],"contagious":[27],"nature":[28],"raised":[33],"necessity":[35],"developing":[37],"deep":[38,138],"learning-based":[39],"diagnostic":[40],"tools":[41],"to":[42,62,66,149],"identify":[43],"infected":[45],"cases":[46,77,154],"early":[49],"stages.":[50],"Recently,":[51],"we":[52,134],"proposed":[53,161,182],"fully-automated":[55],"framework":[56],"based":[57],"on":[58],"Capsule":[59],"Networks,":[60],"referred":[61],"as":[63],"CT-CAPS,":[65],"distinguish":[67],"infection":[69],"from":[70],"normal":[71],"Community":[73],"Acquired":[74],"Pneumonia":[75],"(CAP)":[76],"using":[78,155],"chest":[79],"Computed":[80],"Tomography":[81],"(CT)":[82],"scans.":[83],"Although":[84],"CT":[85,147],"scans":[86,148],"can":[87],"provide":[88],"comprehensive":[90],"illustration":[91],"lung":[94,97],"abnormalities,":[95],"manifestations":[98],"overlap":[100],"with":[101,118],"CAP":[103],"findings":[104],"making":[105],"their":[106],"identification":[107],"challenging":[108],"even":[109],"for":[110],"experienced":[111],"radiologists.":[112],"Here,":[113],"CT-CAPS":[115,187],"is":[116],"augmented":[117],"wide":[120],"range":[121],"clinical/demographic":[123,144],"data,":[124],"including":[125],"patients\u2019":[126],"gender,":[127],"age,":[128],"weight":[129],"symptoms.":[131],"More":[132],"specifically,":[133],"propose":[135],"hybrid":[137,162,183],"learning":[139],"model":[140,163,184],"that":[141,180],"utilizes":[142],"both":[143],"data":[145],"classify":[150],"non-COVID":[153],"Random":[157],"Forest":[158],"Classifier.":[159],"specifies":[164],"most":[166],"important":[167],"predictive":[168],"factors":[169],"increasing":[170],"explainability":[172],"model.":[175],"experimental":[177],"results":[178],"show":[179],"improves":[185],"performance,":[188],"achieving":[189],"accuracy":[190],"90.8%,":[192],"sensitivity":[193],"94.5%":[195],"specificity":[197],"86.0%.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
