{"id":"https://openalex.org/W3200012255","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533831","title":"Automated detection of COVID-19 on a small dataset of chest CT images using metric learning","display_name":"Automated detection of COVID-19 on a small dataset of chest CT images using metric learning","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200012255","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533831","mag":"3200012255"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5040276597","display_name":"Shipra Madan","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shipra Madan","raw_affiliation_strings":["Dept. of electrical engineering, Indian Institute of Technology, Delhi Delhi, India"],"affiliations":[{"raw_affiliation_string":"Dept. of electrical engineering, Indian Institute of Technology, Delhi Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086242686","display_name":"Santanu Chaudhury","orcid":"https://orcid.org/0000-0002-5488-7773"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santanu Chaudhury","raw_affiliation_strings":["Dept. of computer science and engineering, Indian Institute of Technology Jodhpur, Jodhpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of computer science and engineering, Indian Institute of Technology Jodhpur, Jodhpur, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052347493","display_name":"Tapan Kumar Gandhi","orcid":"https://orcid.org/0000-0002-3532-9389"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tapan Kumar Gandhi","raw_affiliation_strings":["Dept. of electrical engineering, Indian Institute of Technology, Delhi Delhi, India"],"affiliations":[{"raw_affiliation_string":"Dept. of electrical engineering, Indian Institute of Technology, Delhi Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040276597"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.8247,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72856216,"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":"1","last_page":"8"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9793000221252441,"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7871075868606567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6359575390815735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6225982308387756},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5266328454017639},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.49872350692749023},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.4796503186225891},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4506429135799408},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.42734140157699585},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41169607639312744},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3609583377838135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36047255992889404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3459016978740692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3270798921585083},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3023788332939148},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.19131365418434143},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.16261211037635803},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.1359102427959442},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08396697044372559},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.08261781930923462}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7871075868606567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6359575390815735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6225982308387756},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5266328454017639},{"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":0.49872350692749023},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.4796503186225891},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4506429135799408},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.42734140157699585},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41169607639312744},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3609583377838135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36047255992889404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3459016978740692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3270798921585083},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3023788332939148},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.19131365418434143},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.16261211037635803},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.1359102427959442},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08396697044372559},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.08261781930923462},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1849277567","https://openalex.org/W2096733369","https://openalex.org/W2158698691","https://openalex.org/W2162708558","https://openalex.org/W2194775991","https://openalex.org/W2296490796","https://openalex.org/W2598634450","https://openalex.org/W2766530444","https://openalex.org/W2792643794","https://openalex.org/W2963446712","https://openalex.org/W2963775347","https://openalex.org/W2964121744","https://openalex.org/W3001118548","https://openalex.org/W3004906315","https://openalex.org/W3006882119","https://openalex.org/W3007273493","https://openalex.org/W3007497549","https://openalex.org/W3011149445","https://openalex.org/W3012804303","https://openalex.org/W3012867892","https://openalex.org/W3012919504","https://openalex.org/W3013564598","https://openalex.org/W3014151993","https://openalex.org/W3014337038","https://openalex.org/W3014601887","https://openalex.org/W3016794870","https://openalex.org/W3018495143","https://openalex.org/W3023180050","https://openalex.org/W3024506939","https://openalex.org/W3045460727","https://openalex.org/W3099206234","https://openalex.org/W3129581972","https://openalex.org/W3146079624","https://openalex.org/W6631190155","https://openalex.org/W6638791942","https://openalex.org/W6639204139","https://openalex.org/W6725739302","https://openalex.org/W7015098694"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2394779770","https://openalex.org/W2415102733","https://openalex.org/W2611989081","https://openalex.org/W2072346427","https://openalex.org/W2487222174","https://openalex.org/W2068583297","https://openalex.org/W2123050621","https://openalex.org/W3084704945","https://openalex.org/W3167007397"],"abstract_inverted_index":{"Coronavirus":[0],"disease":[1],"has":[2],"caused":[3],"unprecedented":[4],"chaos":[5],"across":[6],"the":[7,14,34,40,56,97,103,125,159,171],"globe":[8],"causing":[9],"potentially":[10],"fatal":[11],"pneumonia,":[12],"since":[13],"beginning":[15],"of":[16,58,86,113,132,156],"2020.":[17],"Researchers":[18],"from":[19,129,141],"different":[20],"communities":[21],"are":[22],"working":[23],"in":[24,100],"conjunction":[25],"with":[26,66,149],"front-line":[27],"doctors":[28],"and":[29,48,124,138],"policymakers":[30],"to":[31,38,74,102],"better":[32],"understand":[33],"disease.":[35],"The":[36,146],"key":[37],"prevent":[39],"spread":[41],"is":[42],"a":[43,70,83,91,110,130,142],"rapid":[44],"diagnosis,":[45],"prioritized":[46],"isolation,":[47],"fastidious":[49],"contact":[50],"tracing.":[51],"Recent":[52],"studies":[53],"have":[54],"confirmed":[55],"presence":[57],"underlying":[59],"patterns":[60],"on":[61,96,170],"chest":[62,78,119,150],"CT":[63,79,120,151],"for":[64,122,127,135],"patients":[65],"COVID-19.":[67],"We":[68,89,116],"present":[69,90],"completely":[71],"automated":[72],"framework":[73],"detect":[75],"COVID-19":[76,137],"using":[77],"scans,":[80],"only":[81],"needing":[82],"small":[84],"number":[85],"training":[87,114,123],"samples.":[88],"few-shot":[92],"learning":[93,106],"technique":[94],"based":[95],"Triplet":[98],"network":[99],"comparison":[101],"conventional":[104],"deep":[105],"techniques":[107],"which":[108],"require":[109],"substantial":[111],"amount":[112],"examples.":[115],"used":[117],"140":[118],"images":[121,134,152],"rest":[126],"testing":[128],"total":[131],"2482":[133],"both":[136],"non-COVID-19":[139],"cases":[140],"publicly":[143],"available":[144],"dataset.":[145,173],"model":[147],"trained":[148],"achieves":[153],"an":[154],"AUC":[155],"0.94,":[157],"separates":[158],"two":[160],"classes":[161],"into":[162],"distinct":[163],"clusters;":[164],"thereby":[165],"giving":[166],"correct":[167],"prediction":[168],"accuracy":[169],"evaluation":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
