{"id":"https://openalex.org/W4400908478","doi":"https://doi.org/10.1109/siu61531.2024.10600827","title":"Reinforcement Learning Based Cardiac Ultrasound Video Summarization Using Weak Supervision and Proximity Reward","display_name":"Reinforcement Learning Based Cardiac Ultrasound Video Summarization Using Weak Supervision and Proximity Reward","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908478","doi":"https://doi.org/10.1109/siu61531.2024.10600827"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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/A5069172067","display_name":"Ali \u00c7oban","orcid":"https://orcid.org/0000-0002-1684-5222"},"institutions":[{"id":"https://openalex.org/I4210123976","display_name":"Gazi Hastanesi","ror":"https://ror.org/02qhp8q93","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210123976"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ali \u00c7Oban","raw_affiliation_strings":["Gazi Üniversitesi,Bilgisayar Mühendisliği, Fen Bilimleri Enstitüsü,Ankara,Türkiye"],"affiliations":[{"raw_affiliation_string":"Gazi Üniversitesi,Bilgisayar Mühendisliği, Fen Bilimleri Enstitüsü,Ankara,Türkiye","institution_ids":["https://openalex.org/I4210123976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018546959","display_name":"Ceren G\u00fczel Turhan","orcid":"https://orcid.org/0000-0002-8923-1547"},"institutions":[{"id":"https://openalex.org/I4210123976","display_name":"Gazi Hastanesi","ror":"https://ror.org/02qhp8q93","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210123976"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ceren G\u00dcZel Turhan","raw_affiliation_strings":["Gazi Üniversitesi,Bilgisayar Mühendisliği, Mühendislik Fakültesi,Ankara,Türkiye"],"affiliations":[{"raw_affiliation_string":"Gazi Üniversitesi,Bilgisayar Mühendisliği, Mühendislik Fakültesi,Ankara,Türkiye","institution_ids":["https://openalex.org/I4210123976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050695785","display_name":"Duygu Sar\u0131kaya","orcid":"https://orcid.org/0000-0002-2083-4999"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Duygu Sarikaya","raw_affiliation_strings":["University of Leeds,School Of Computing,Leeds,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Leeds,School Of Computing,Leeds,United Kingdom","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069172067"],"corresponding_institution_ids":["https://openalex.org/I4210123976"],"apc_list":null,"apc_paid":null,"fwci":0.8157,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77341421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8342000246047974,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8342000246047974,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9026814103126526},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7976024150848389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6741443276405334},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4893640875816345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4376026391983032},{"id":"https://openalex.org/keywords/ultrasonic-imaging","display_name":"Ultrasonic imaging","score":0.41845786571502686},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.36413079500198364},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18688344955444336},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1137411892414093},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.0982302725315094},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.060392528772354126}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9026814103126526},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7976024150848389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741443276405334},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4893640875816345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4376026391983032},{"id":"https://openalex.org/C2989478337","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasonic imaging","level":3,"score":0.41845786571502686},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.36413079500198364},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18688344955444336},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1137411892414093},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0982302725315094},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.060392528772354126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10600827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W1517524280","https://openalex.org/W4323520239"],"abstract_inverted_index":{"Cardiac":[0],"ultrasound":[1,93,167],"video":[2,44,94,168],"analysis":[3],"is":[4,26,109],"a":[5,27,48,62,76,86,102],"critical":[6],"part":[7],"of":[8,21,56,161,173],"the":[9,18,22,54,65,112,116,124,132,145,159,171],"diagnostic":[10],"process":[11,34],"for":[12,37,50,59,91,131],"assessing":[13],"heart":[14,70],"failure":[15],"risk.":[16],"However,":[17],"manual":[19],"processing":[20],"videos":[23],"by":[24],"clinicians":[25],"timeconsuming":[28],"task,":[29],"and":[30,100,177],"automated":[31],"solutions":[32],"that":[33,96,135],"each":[35],"frame":[36],"diagnosis":[38,182],"are":[39,136],"not":[40,122],"efficient.":[41],"While":[42],"automatic":[43],"summarization":[45,60,95],"can":[46],"pose":[47],"solution":[49],"these":[51,139],"open":[52],"problems,":[53],"lack":[55],"annotated":[57,175],"data":[58,176],"remains":[61],"challenge.":[63],"Leveraging":[64],"Echonet-Dynamic":[66],"dataset,":[67],"which":[68],"provides":[69],"stroke":[71],"volume":[72,113],"information,":[73,114],"we":[74,84,149],"formulate":[75],"weakly":[77,162],"supervised":[78,163],"learning":[79,118,164],"strategy.":[80],"In":[81,141],"this":[82],"study,":[83],"propose":[85],"Reinforcement":[87],"Learning":[88],"based":[89,110],"approach":[90,157],"cardiac":[92,166,181],"utilizes":[97],"weak":[98],"supervision":[99],"introduces":[101],"novel":[103],"reward":[104,108,147],"function.":[105],"This":[106],"proposed":[107],"on":[111],"encouraging":[115],"reinforcement":[117],"agent":[119],"to":[120,138,179],"select":[121],"only":[123],"key":[125],"frames":[126,133],"but":[127],"also":[128],"be":[129],"rewarded":[130],"chosen":[134],"close":[137],"frames.":[140],"our":[142],"experiments,":[143],"with":[144],"new":[146],"mechanism,":[148],"observed":[150],"better":[151],"results":[152],"in":[153,165],"F-score":[154],"values.":[155],"Our":[156],"demonstrates":[158],"potential":[160],"summarization,":[169],"addressing":[170],"challenges":[172],"limited":[174],"contributing":[178],"improved":[180],"using":[183],"summarized":[184],"videos.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}