{"id":"https://openalex.org/W4391148610","doi":"https://doi.org/10.1109/skima59232.2023.10387299","title":"Cardiac Deep Learning Model for Congenital Heart Disease Recognition","display_name":"Cardiac Deep Learning Model for Congenital Heart Disease Recognition","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4391148610","doi":"https://doi.org/10.1109/skima59232.2023.10387299"},"language":"en","primary_location":{"id":"doi:10.1109/skima59232.2023.10387299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/skima59232.2023.10387299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","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/A5023881021","display_name":"Khalil Khan","orcid":"https://orcid.org/0000-0002-0864-5255"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":true,"raw_author_name":"Khalil Khan","raw_affiliation_strings":["School of Engineering and Digital Sciences, Nazarbayev University,Department of Computer Science,Kazakhstan","Department of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University, Kazakhstan"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Digital Sciences, Nazarbayev University,Department of Computer Science,Kazakhstan","institution_ids":["https://openalex.org/I60559429"]},{"raw_affiliation_string":"Department of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103898130","display_name":"Taimur Ahmad","orcid":null},"institutions":[{"id":"https://openalex.org/I2801349156","display_name":"University of Haripur","ror":"https://ror.org/05vtb1235","country_code":"PK","type":"education","lineage":["https://openalex.org/I2801349156"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Taimur Ahmad","raw_affiliation_strings":["PAF-IAST,Department of Computer Science,Haripur,Pakistan","Department of Computer Science, PAF-IAST, Haripur, Pakistan"],"affiliations":[{"raw_affiliation_string":"PAF-IAST,Department of Computer Science,Haripur,Pakistan","institution_ids":["https://openalex.org/I2801349156"]},{"raw_affiliation_string":"Department of Computer Science, PAF-IAST, Haripur, Pakistan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047672519","display_name":"M. Irfan Uddin","orcid":"https://orcid.org/0000-0002-1355-3881"},"institutions":[{"id":"https://openalex.org/I4210100043","display_name":"Superior University","ror":"https://ror.org/00yh88643","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210100043"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Irfan Uddin","raw_affiliation_strings":["Superior University,Department of Computer Science,Lahore,Pakistan","Department of Computer Science, Superior University, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"Superior University,Department of Computer Science,Lahore,Pakistan","institution_ids":["https://openalex.org/I4210100043"]},{"raw_affiliation_string":"Department of Computer Science, Superior University, Lahore, Pakistan","institution_ids":["https://openalex.org/I4210100043"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023881021"],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":0.6631,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73732644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"293","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10300","display_name":"Congenital Heart Disease Studies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11677","display_name":"Congenital heart defects research","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12018","display_name":"Coronary Artery Anomalies","score":0.9851999878883362,"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/heart-disease","display_name":"Heart disease","score":0.6949310302734375},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.6160848736763},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5901327729225159},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5049713253974915},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4862719774246216},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4194735586643219},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41747069358825684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39842039346694946},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.330838680267334},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3276851177215576},{"id":"https://openalex.org/keywords/pediatrics","display_name":"Pediatrics","score":0.32742464542388916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.258239209651947}],"concepts":[{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.6949310302734375},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.6160848736763},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5901327729225159},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5049713253974915},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4862719774246216},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4194735586643219},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41747069358825684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39842039346694946},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.330838680267334},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3276851177215576},{"id":"https://openalex.org/C187212893","wikidata":"https://www.wikidata.org/wiki/Q123028","display_name":"Pediatrics","level":1,"score":0.32742464542388916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.258239209651947},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/skima59232.2023.10387299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/skima59232.2023.10387299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1855607912","https://openalex.org/W1996993078","https://openalex.org/W2007344602","https://openalex.org/W2008944385","https://openalex.org/W2048733914","https://openalex.org/W2052256415","https://openalex.org/W2076243614","https://openalex.org/W2088049833","https://openalex.org/W2089743535","https://openalex.org/W2096579040","https://openalex.org/W2101926813","https://openalex.org/W2104019614","https://openalex.org/W2111364271","https://openalex.org/W2132424367","https://openalex.org/W2141125852","https://openalex.org/W2144354855","https://openalex.org/W2156984851","https://openalex.org/W2316078745","https://openalex.org/W2321835072","https://openalex.org/W2979579242","https://openalex.org/W2990714382","https://openalex.org/W3008143116","https://openalex.org/W3081745724","https://openalex.org/W3110808332","https://openalex.org/W3161276485","https://openalex.org/W3196633171","https://openalex.org/W4210487076","https://openalex.org/W4210643253","https://openalex.org/W4225434098","https://openalex.org/W4246246790","https://openalex.org/W4281551408","https://openalex.org/W4281856740","https://openalex.org/W4313315730","https://openalex.org/W4319459796","https://openalex.org/W6749923946","https://openalex.org/W6796560306"],"related_works":["https://openalex.org/W4247543202","https://openalex.org/W4243456421","https://openalex.org/W2417397217","https://openalex.org/W2355857550","https://openalex.org/W3093256375","https://openalex.org/W1841421040","https://openalex.org/W2896815346","https://openalex.org/W3028882978","https://openalex.org/W1487766990","https://openalex.org/W2413308624"],"abstract_inverted_index":{"Congenital":[0],"heart":[1,189],"disease":[2],"(CHD)":[3],"is":[4,120],"a":[5,13,105,149,179,200,221],"worldwide":[6],"common":[7],"congenital":[8],"disability,":[9],"and":[10,65,84,138,167,190,207],"according":[11],"to":[12,31,91,101,203,208,247],"recent":[14],"WHO":[15],"report,":[16],"more":[17],"than":[18],"60,000":[19],"babies":[20],"are":[21,62],"born":[22],"with":[23,44,88,174],"CHD":[24,32,40,78,89,102,110,119,136],"yearly.":[25],"Furthermore,":[26],"total":[27,37],"death":[28],"rates":[29],"due":[30,100],"reached":[33],"16.49%":[34],"of":[35,71,77,104,107,126,135,172,187,212,229,237],"the":[36,48,58,68,72,123,133,155,169,184,188,194,210,214,230,248],"baby":[38],"deaths.":[39],"has":[41],"thirty-five":[42],"types":[43,76],"various":[45],"abnormalities":[46],"in":[47,57,67,111,115,122,168],"heart,":[49,231],"including":[50],"abnormal,":[51],"incomplete,":[52],"or":[53],"some":[54],"parts":[55],"missing":[56],"heart.":[59,73],"Similarly,":[60],"there":[61],"leaky":[63],"valves":[64],"holes":[66],"chamber":[69],"partitions":[70],"A":[74],"few":[75],"can":[79,130,162],"be":[80,92],"detected":[81],"during":[82],"pregnancy":[83],"before":[85],"birth.":[86],"Patients":[87],"need":[90],"diagnosed":[93,121],"early,":[94],"whereas":[95],"many":[96],"children":[97],"die":[98],"undiagnosed":[99],"because":[103],"lack":[106],"awareness":[108],"about":[109],"developing":[112],"countries.":[113],"Moreover,":[114],"most":[116,128],"cases,":[117],"if":[118],"early":[124,170],"stage":[125,171],"life,":[127],"people":[129],"not":[131],"afford":[132],"cost":[134],"surgeries":[137],"other":[139],"procedures":[140],"for":[141],"their":[142],"kids.":[143],"Recognizing":[144],"this":[145,164],"gap,":[146],"we":[147,153,219],"propose":[148],"deep":[150],"learning-based":[151],"model":[152,181],"named":[154],"Cardiac":[156],"Deep":[157],"Learning":[158],"Model":[159],"(CDLM)":[160],"that":[161],"detect":[163],"abnormality":[165],"easily":[166],"life":[173],"CT-scanned":[175],"images.":[176],"We":[177,198],"use":[178,220],"segmentation":[180],"which":[182,232],"segments":[183],"four":[185],"chambers":[186],"then":[191],"followed":[192],"by":[193],"blood":[195],"pool":[196],"stage.":[197],"apply":[199],"graph-matching":[201],"method":[202,241],"extract":[204],"connection":[205],"information":[206],"know":[209],"categories":[211],"all":[213],"vessels.":[215],"For":[216],"experimental":[217],"work,":[218],"publically":[222],"available":[223],"dataset":[224],"having":[225],"68":[226],"CT":[227],"images":[228],"covers":[233],"14":[234],"different":[235],"kinds":[236],"abnormalities.":[238],"Our":[239],"proposed":[240],"reported":[242,250],"better":[243],"results":[244,249],"as":[245],"compared":[246],"previously.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}