{"id":"https://openalex.org/W7202293408","doi":"https://doi.org/10.1109/edm69524.2026.11631949","title":"Deep Learning Based Detection of Cardiovascular Diseases from Medical Images","display_name":"Deep Learning Based Detection of Cardiovascular Diseases from Medical Images","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7202293408","doi":"https://doi.org/10.1109/edm69524.2026.11631949"},"language":"en","primary_location":{"id":"doi:10.1109/edm69524.2026.11631949","doi":"https://doi.org/10.1109/edm69524.2026.11631949","is_oa":true,"landing_page_url":"https://doi.org/10.1109/edm69524.2026.11631949","pdf_url":null,"source":{"id":"https://openalex.org/S4210202527","display_name":"International Siberian workshops and tutorials on electron devices and materials","issn_l":"1815-3712","issn":["1815-3712"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 27th International Conference of Young Professionals in Electron Devices and Materials (EDM)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/edm69524.2026.11631949","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135303713","display_name":"Akmalbek Abdusalomov","orcid":"https://orcid.org/0000-0001-5923-8695","observed_orcids":["https://orcid.org/0000-0001-5923-8695"]},"institutions":[{"id":"https://openalex.org/I21256249","display_name":"Tashkent University of Information Technology","ror":"https://ror.org/05987a729","country_code":"UZ","type":"education","lineage":["https://openalex.org/I21256249"]}],"countries":["UZ"],"is_corresponding":false,"raw_author_name":"Akmalbek Abdusalomov","raw_affiliation_strings":["Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi","institution_ids":["https://openalex.org/I21256249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064868689","display_name":"Mekhriddin Rakhimov","orcid":"https://orcid.org/0000-0002-3940-0154","observed_orcids":["https://orcid.org/0000-0002-3940-0154"]},"institutions":[{"id":"https://openalex.org/I21256249","display_name":"Tashkent University of Information Technology","ror":"https://ror.org/05987a729","country_code":"UZ","type":"education","lineage":["https://openalex.org/I21256249"]}],"countries":["UZ"],"is_corresponding":false,"raw_author_name":"Mekhriddin Rakhimov","raw_affiliation_strings":["Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi","institution_ids":["https://openalex.org/I21256249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063408915","display_name":"Shakhzod Javliev","orcid":"https://orcid.org/0000-0003-1411-8192","observed_orcids":["https://orcid.org/0000-0003-1411-8192"]},"institutions":[{"id":"https://openalex.org/I21256249","display_name":"Tashkent University of Information Technology","ror":"https://ror.org/05987a729","country_code":"UZ","type":"education","lineage":["https://openalex.org/I21256249"]}],"countries":["UZ"],"is_corresponding":false,"raw_author_name":"Shakhzod Javliev","raw_affiliation_strings":["Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi","institution_ids":["https://openalex.org/I21256249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119575883","display_name":"Azizbek Khojamurotov","orcid":"https://orcid.org/0009-0006-4193-2738","observed_orcids":["https://orcid.org/0009-0006-4193-2738"]},"institutions":[{"id":"https://openalex.org/I21256249","display_name":"Tashkent University of Information Technology","ror":"https://ror.org/05987a729","country_code":"UZ","type":"education","lineage":["https://openalex.org/I21256249"]}],"countries":["UZ"],"is_corresponding":false,"raw_author_name":"Azizbek Khojamurotov","raw_affiliation_strings":["Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi","institution_ids":["https://openalex.org/I21256249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116579505","display_name":"Sanjar Bakhtiyorov","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I21256249","display_name":"Tashkent University of Information Technology","ror":"https://ror.org/05987a729","country_code":"UZ","type":"education","lineage":["https://openalex.org/I21256249"]}],"countries":["UZ"],"is_corresponding":false,"raw_author_name":"Sanjar Bakhtiyorov","raw_affiliation_strings":["Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi","institution_ids":["https://openalex.org/I21256249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119879047","display_name":"Makhliyo Turaeva","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I21256249","display_name":"Tashkent University of Information Technology","ror":"https://ror.org/05987a729","country_code":"UZ","type":"education","lineage":["https://openalex.org/I21256249"]}],"countries":["UZ"],"is_corresponding":false,"raw_author_name":"Makhliyo Turaeva","raw_affiliation_strings":["Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi","institution_ids":["https://openalex.org/I21256249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21256249"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8154000043869019,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8154000043869019,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.06459999829530716,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.049400001764297485,"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/cardiovascular-disease-detection","display_name":"cardiovascular disease detection","score":0.9509999752044678},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"coronary artery disease","score":0.7329999804496765},{"id":"https://openalex.org/keywords/angiographic-images","display_name":"angiographic images","score":0.7590000033378601},{"id":"https://openalex.org/keywords/vessel-segmentation","display_name":"vessel segmentation","score":0.7210000157356262},{"id":"https://openalex.org/keywords/nnu-net","display_name":"nnU-Net","score":0.9079999923706055},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.9139999747276306},{"id":"https://openalex.org/keywords/two-stage-segmentation","display_name":"two-stage segmentation","score":0.8870000243186951}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7260000109672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6819999814033508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4560000002384186},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.43220001459121704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3450999855995178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2660999894142151}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/edm69524.2026.11631949","doi":"https://doi.org/10.1109/edm69524.2026.11631949","is_oa":true,"landing_page_url":"https://doi.org/10.1109/edm69524.2026.11631949","pdf_url":null,"source":{"id":"https://openalex.org/S4210202527","display_name":"International Siberian workshops and tutorials on electron devices and materials","issn_l":"1815-3712","issn":["1815-3712"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 27th International Conference of Young Professionals in Electron Devices and Materials (EDM)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/edm69524.2026.11631949","doi":"https://doi.org/10.1109/edm69524.2026.11631949","is_oa":true,"landing_page_url":"https://doi.org/10.1109/edm69524.2026.11631949","pdf_url":null,"source":{"id":"https://openalex.org/S4210202527","display_name":"International Siberian workshops and tutorials on electron devices and materials","issn_l":"1815-3712","issn":["1815-3712"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 27th International Conference of Young Professionals in Electron Devices and Materials (EDM)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2795279291","https://openalex.org/W3120777667","https://openalex.org/W4206005692","https://openalex.org/W4308517044","https://openalex.org/W4316658045","https://openalex.org/W4386929739","https://openalex.org/W4389885061","https://openalex.org/W4390815441","https://openalex.org/W4392250087","https://openalex.org/W4406303810","https://openalex.org/W4406663525","https://openalex.org/W4406795469","https://openalex.org/W4406833832","https://openalex.org/W4406946683","https://openalex.org/W4408117563","https://openalex.org/W4409427029","https://openalex.org/W4410007777","https://openalex.org/W4412073578","https://openalex.org/W4412079762","https://openalex.org/W4413929514","https://openalex.org/W4413949464","https://openalex.org/W4414413410","https://openalex.org/W4414524068","https://openalex.org/W7117451950","https://openalex.org/W7117965011","https://openalex.org/W7122588775"],"related_works":["https://openalex.org/W4415854548","https://openalex.org/W7164823797","https://openalex.org/W4200254857","https://openalex.org/W7204460125","https://openalex.org/W7167265566","https://openalex.org/W7160646299","https://openalex.org/W7117747364","https://openalex.org/W2952503513","https://openalex.org/W7160317983","https://openalex.org/W4405517071"],"abstract_inverted_index":{"In":[0,12],"medicine,":[1],"images":[2,15,34,80],"are":[3,16,26,35,52],"the":[4,9,19,30,74,83,92,95,103,143,152,171],"main":[5],"factor":[6],"in":[7,18,60,82,129,151,170],"determining":[8],"patient\u2019s":[10],"condition.":[11],"particular,":[13],"medical":[14,33],"important":[17,69],"diagnosis":[20,84],"of":[21,32,58,73,78,85,94,184],"heart":[22],"diseases,":[23],"and":[24,29,45,97,119,150],"they":[25],"also":[27,53],"relevant,":[28],"types":[31],"very":[36],"different":[37],"(magnetic":[38],"resonance":[39],"imaging,":[40,44],"computed":[41],"tomography,":[42],"X-ray":[43],"other":[46],"similar":[47],"things).":[48],"Like":[49],"images,":[50],"diseases":[51],"different,":[54],"especially":[55],"early":[56],"detection":[57],"changes":[59],"coronary":[61,123],"arteries,":[62],"which":[63],"is":[64,68,88,140,158],"considered":[65],"cardiovascular":[66],"disease,":[67],"for":[70,181],"effective":[71],"treatment":[72],"disease.":[75],"Manual":[76],"analysis":[77],"angiographic":[79],"used":[81,159,169],"this":[86,130],"disease":[87],"strongly":[89],"dependent":[90],"on":[91],"experience":[93],"specialist":[96],"time":[98],"factors.":[99],"Therefore,":[100],"by":[101],"analyzing":[102],"work":[104,131],"done":[105],"so":[106],"far,":[107],"we":[108],"proposed":[109,178],"a":[110,133,155],"deep":[111],"learning":[112],"approach":[113,179],"that":[114,176],"automatically":[115],"detects":[116],"vascular":[117],"structures":[118],"perfusion":[120,162],"areas":[121],"from":[122],"artery":[124],"images.":[125],"The":[126,137,164],"method":[127],"presented":[128,141],"performs":[132],"twostage":[134],"segmentation":[135],"process.":[136],"nnU-Net":[138],"architecture":[139],"as":[142],"first":[144],"stage":[145],"to":[146,160],"segment":[147],"arterial":[148],"vessels,":[149],"second":[153],"stage,":[154],"U-Net-type":[156],"model":[157],"detect":[161],"areas.":[163],"open-source":[165],"ARCADE":[166],"dataset":[167],"was":[168],"study.":[172],"Experimental":[173],"results":[174],"show":[175],"our":[177],"allows":[180],"efficient":[182],"identification":[183],"syntenic":[185],"regions.":[186]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-13T00:00:00"}