{"id":"https://openalex.org/W4406328264","doi":"https://doi.org/10.1145/3706890.3706965","title":"Quantitative Detection of Calcium Leakage in Cardiomyocytes and Pathological Inference","display_name":"Quantitative Detection of Calcium Leakage in Cardiomyocytes and Pathological Inference","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406328264","doi":"https://doi.org/10.1145/3706890.3706965"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3706965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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":null,"display_name":"Yaxin Wang","orcid":"https://orcid.org/0009-0004-4823-9296"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaxin Wang","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4823-9296","affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44404815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"431","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10493","display_name":"Ion channel regulation and function","score":0.9732000231742859,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9348000288009644,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.729870617389679},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5959303379058838},{"id":"https://openalex.org/keywords/calcium","display_name":"Calcium","score":0.5200314521789551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5005326271057129},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.44283413887023926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.417792409658432},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3006426990032196},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14097023010253906},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11119669675827026}],"concepts":[{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.729870617389679},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5959303379058838},{"id":"https://openalex.org/C519063684","wikidata":"https://www.wikidata.org/wiki/Q706","display_name":"Calcium","level":2,"score":0.5200314521789551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5005326271057129},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.44283413887023926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.417792409658432},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3006426990032196},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14097023010253906},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11119669675827026},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3706965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2047061188","https://openalex.org/W2050824263","https://openalex.org/W2145563296","https://openalex.org/W2890426819","https://openalex.org/W3036929104","https://openalex.org/W3109023382","https://openalex.org/W4297326433"],"related_works":["https://openalex.org/W2365243064","https://openalex.org/W1499732058","https://openalex.org/W2048213734","https://openalex.org/W1989673413","https://openalex.org/W1568635045","https://openalex.org/W4226087776","https://openalex.org/W2371794589","https://openalex.org/W2315373624","https://openalex.org/W2386699790","https://openalex.org/W1967736413"],"abstract_inverted_index":{"The":[0],"degree":[1,144],"of":[2,62,81,96,120,145,161],"Ca\u00b2\u207a":[3,37,56],"leakage":[4],"from":[5,64],"the":[6,51,60,65,78,85,94,112,118,143],"sarcoplasmic":[7],"reticulum":[8],"(SR)":[9],"in":[10,16,53,88,109],"cardiomyocytes":[11,97,162],"can":[12,98],"lead":[13],"to":[14,28,48,116,135,166],"dysfunction":[15],"both":[17],"contraction":[18],"and":[19,31,75,132],"relaxation,":[20],"potentially":[21],"triggering":[22],"arrhythmias.":[23],"Therefore,":[24],"it":[25],"is":[26,164],"crucial":[27],"develop":[29],"simple":[30],"effective":[32],"methods":[33],"for":[34,77,158],"quantitatively":[35],"detectinga":[36],"leakage.":[38,83,147],"In":[39],"this":[40],"study,":[41],"we":[42,104,153],"employed":[43],"an":[44],"asymmetric":[45],"Gaussian":[46],"function":[47],"accurately":[49],"fit":[50],"signals":[52],"confocal":[54],"scanning":[55],"signal":[57,90],"images,":[58],"facilitating":[59],"separation":[61],"noise":[63],"calcium":[66,82,89,146],"signals.":[67],"We":[68],"introduced":[69],"two":[70,137],"new":[71,138,151],"feature":[72,174],"parameters,":[73,152],"Rca2+leak":[74],"Pca2+leak,":[76],"quantitative":[79],"assessment":[80],"Given":[84],"subtle":[86],"differences":[87],"characteristics,":[91],"visually":[92],"distinguishing":[93],"states":[95,119,160],"be":[99],"challenging.":[100],"To":[101],"address":[102],"this,":[103],"applied":[105],"machine":[106],"learning":[107],"techniques":[108],"conjunction":[110],"with":[111,172],"newly":[113],"developed":[114],"parameters":[115,139],"classify":[117],"cardiomyocytes,":[121],"thereby":[122],"inferring":[123],"their":[124],"pathological":[125,159],"conditions.":[126],"Our":[127],"approach":[128],"utilizes":[129],"a":[130,155],"straightforward":[131],"efficient":[133],"methodology":[134],"propose":[136],"that":[140,163,170],"effectively":[141],"quantify":[142],"By":[148],"integrating":[149],"these":[150],"achieved":[154],"classification":[156,175],"accuracy":[157],"2%":[165],"6%":[167],"higher":[168],"than":[169],"obtained":[171],"traditional":[173],"methods.":[176]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}