{"id":"https://openalex.org/W4406259565","doi":"https://doi.org/10.1109/bibm62325.2024.10822816","title":"Analysis of the Discriminability of Three Types of CMR Image Features for Cardiomyopathy","display_name":"Analysis of the Discriminability of Three Types of CMR Image Features for Cardiomyopathy","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406259565","doi":"https://doi.org/10.1109/bibm62325.2024.10822816"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5084345073","display_name":"Shifeng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifeng Zhao","raw_affiliation_strings":["Beijing Normal University,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011037170","display_name":"Yanyang Li","orcid":"https://orcid.org/0009-0009-4397-0297"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyang Li","raw_affiliation_strings":["Beijing Normal University,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002734812","display_name":"Yun Tian","orcid":"https://orcid.org/0000-0001-5574-2325"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Tian","raw_affiliation_strings":["Beijing Normal University,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712565","display_name":"Xiaoxuan Zhang","orcid":"https://orcid.org/0000-0001-6375-3753"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Zhang","raw_affiliation_strings":["Peking University Third Hospital,Information Management and Big Data Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University Third Hospital,Information Management and Big Data Center,Beijing,China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016984578","display_name":"Jinxiao Xiao","orcid":"https://orcid.org/0000-0002-9666-2943"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxiao Xiao","raw_affiliation_strings":["Beijing Normal University,School of Artificial Intelligence,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University,School of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009467631","display_name":"Lian\u2010Ming Wu","orcid":"https://orcid.org/0000-0001-7381-5436"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianming Wu","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Radiology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Radiology,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1767","last_page":"1770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9732000231742859,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9732000231742859,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.942799985408783,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5735666751861572},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5120769143104553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4852325916290283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46508899331092834},{"id":"https://openalex.org/keywords/cardiomyopathy","display_name":"Cardiomyopathy","score":0.4606153964996338},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37697964906692505},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19932764768600464},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.13517573475837708},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.05381309986114502}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5735666751861572},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5120769143104553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4852325916290283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46508899331092834},{"id":"https://openalex.org/C2778797674","wikidata":"https://www.wikidata.org/wiki/Q847583","display_name":"Cardiomyopathy","level":3,"score":0.4606153964996338},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37697964906692505},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19932764768600464},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.13517573475837708},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.05381309986114502}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W3009687642","https://openalex.org/W3039448353","https://openalex.org/W3082917492","https://openalex.org/W3172614365","https://openalex.org/W3207139186","https://openalex.org/W4214911531","https://openalex.org/W4292266516","https://openalex.org/W4309093866","https://openalex.org/W4324129700"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"To":[0],"assess":[1],"the":[2,61,120,131],"efficacy":[3],"of":[4,42,133,154],"point":[5,80,128,134],"cloud":[6,129,135],"features,":[7],"conventional":[8],"image":[9,86,137],"indices,":[10],"and":[11,30,35,68,74,84,90,107,130,136,159],"radiomics":[12],"signatures":[13],"from":[14,51,60],"cardiovascular":[15],"magnetic":[16],"resonance":[17],"(CMR)":[18],"images,":[19],"as":[20,22],"well":[21],"their":[23],"combinations":[24],"in":[25,71],"distinguishing":[26],"hypertrophic":[27],"cardiomyopathy":[28,32],"(HCM)":[29],"dilated":[31],"(DCM)":[33],"patients":[34],"normal":[36],"(NOR)":[37],"(healthy)":[38],"subjects.":[39],"A":[40],"total":[41],"452":[43],"participants":[44],"(142":[45],"HCM,":[46,157],"157":[47],"DCM,":[48,158],"153":[49],"NOR)":[50],"two":[52],"public":[53],"datasets":[54],"were":[55,58,93],"analyzed.":[56],"Features":[57],"extracted":[59],"left":[62],"ventricle":[63,66],"(LV),":[64],"right":[65],"(RV),":[67],"myocardium":[69],"(MYO)":[70],"end-diastolic":[72],"(ED)":[73],"end-systolic":[75],"(ES)":[76],"phases,":[77],"including":[78],"78":[79],"cloud,":[81],"84":[82],"radiomics,":[83],"20":[85],"indices.":[87],"Feature":[88],"selection":[89],"SVM":[91],"classification":[92],"used":[94],"to":[95],"create":[96],"discriminative":[97],"signatures.":[98],"Reproducibility":[99],"was":[100],"assessed":[101],"with":[102,115],"a":[103,150],"20%":[104],"training":[105],"set":[106],"full":[108],"test":[109],"set.":[110],"The":[111],"combined":[112],"feature":[113],"model":[114],"all":[116],"three":[117],"types":[118],"yielded":[119],"highest":[121],"accuracy":[122],"(92.3%,":[123],"AUC":[124],"0.977),":[125],"followed":[126],"by":[127],"combination":[132],"features":[138,142],"(90.2%":[139],"accuracy).":[140],"Selected":[141],"had":[143],"high":[144],"repeatability":[145],"(ICC":[146],"\u2265":[147],"0.85),":[148],"offering":[149],"detailed":[151],"multi-angle":[152],"view":[153],"differences":[155],"among":[156],"NOR.":[160]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}