{"id":"https://openalex.org/W2997634654","doi":"https://doi.org/10.1145/3364836.3364862","title":"Cardiac Motion Scoring Based on CNN with Attention Mechanism","display_name":"Cardiac Motion Scoring Based on CNN with Attention Mechanism","publication_year":2019,"publication_date":"2019-08-24","ids":{"openalex":"https://openalex.org/W2997634654","doi":"https://doi.org/10.1145/3364836.3364862","mag":"2997634654"},"language":"en","primary_location":{"id":"doi:10.1145/3364836.3364862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","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/A5067409742","display_name":"Ze\u2010Jian Chen","orcid":"https://orcid.org/0000-0002-1688-0028"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zejian Chen","raw_affiliation_strings":["The National-Regional Key Technology Engineering Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China and Medical Ultrasound Image Computing (MUSIC) Lab"],"affiliations":[{"raw_affiliation_string":"The National-Regional Key Technology Engineering Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China and Medical Ultrasound Image Computing (MUSIC) Lab","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027394528","display_name":"Wufeng Xue","orcid":"https://orcid.org/0000-0002-9776-0975"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wufeng Xue","raw_affiliation_strings":["The National-Regional Key Technology Engineering Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China and Medical Ultrasound Image Computing (MUSIC) Lab"],"affiliations":[{"raw_affiliation_string":"The National-Regional Key Technology Engineering Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China and Medical Ultrasound Image Computing (MUSIC) Lab","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046543349","display_name":"Tianfu Wang","orcid":"https://orcid.org/0000-0002-1248-1214"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":["The National-Regional Key Technology Engineering Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China and Medical Ultrasound Image Computing (MUSIC) Lab"],"affiliations":[{"raw_affiliation_string":"The National-Regional Key Technology Engineering Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China and Medical Ultrasound Image Computing (MUSIC) Lab","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065374358","display_name":"Dong Ni","orcid":"https://orcid.org/0000-0002-9146-6003"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Ni","raw_affiliation_strings":["The National-Regional Key Technology Engineering Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China and Medical Ultrasound Image Computing (MUSIC) Lab"],"affiliations":[{"raw_affiliation_string":"The National-Regional Key Technology Engineering Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China and Medical Ultrasound Image Computing (MUSIC) Lab","institution_ids":["https://openalex.org/I4210145292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067409742"],"corresponding_institution_ids":["https://openalex.org/I4210145292"],"apc_list":null,"apc_paid":null,"fwci":0.8467,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75883043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"128","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9912999868392944,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9912999868392944,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.968999981880188,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9678999781608582,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7554242610931396},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6910778880119324},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5981322526931763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5421695113182068},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37170684337615967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554242610931396},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6910778880119324},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5981322526931763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5421695113182068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37170684337615967},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3364836.3364862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1530440040","https://openalex.org/W1567210728","https://openalex.org/W2124624517","https://openalex.org/W2142950213","https://openalex.org/W2149309532","https://openalex.org/W2293647782","https://openalex.org/W2302086703","https://openalex.org/W2626778328","https://openalex.org/W2807858719","https://openalex.org/W2922509574","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W4249896096","https://openalex.org/W4300420266","https://openalex.org/W4309845474","https://openalex.org/W6743731764"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W2772917594","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Motion":[0],"scoring":[1,63],"of":[2,12,91,107,114,134,141],"cardiac":[3,14,61,127],"myocardium":[4,20,30,85,132],"is":[5,49,96,149],"essential":[6],"for":[7,60],"early":[8],"detection":[9],"and":[10,42,48,87,126,152],"diagnosis":[11],"various":[13],"diseases.":[15],"Existing":[16],"work":[17],"on":[18,24,68,130],"the":[19,29,58,83,94,112,115,121,156,159],"motion":[21,31,62,92],"mainly":[22],"focuses":[23],"binary":[25],"abnormality":[26],"detection,":[27],"while":[28],"can":[32],"be":[33],"clinically":[34],"classified":[35],"into":[36],"four":[37],"types:":[38],"normal,":[39],"hypokinetic,":[40],"akinetic":[41],"dyskinetic,":[43],"which":[44,154],"has":[45,77],"greater":[46],"significance":[47],"more":[50,150],"challenging":[51],"to":[52,82,110,158],"predict.":[53],"The":[54],"state-of-the-art":[55],"demonstrated":[56],"that":[57,145],"method":[59],"from":[64,137],"MR":[65,139],"sequences":[66,140],"based":[67],"deep":[69],"convolution":[70],"neural":[71],"network":[72,117],"(CNN)":[73],"with":[74],"non-local":[75],"attention":[76],"great":[78],"potential.":[79],"However,":[80],"due":[81],"complex":[84],"deformation":[86],"subtle":[88],"inter-class":[89],"difference":[90],"patterns,":[93],"performance":[95],"still":[97],"not":[98],"satisfactory.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103],"introduce":[104],"two":[105],"types":[106],"\"attention":[108],"mechanism\"":[109],"enhance":[111],"ability":[113],"CNN":[116],"by":[118],"effectively":[119],"extracting":[120],"dependency":[122],"in":[123,162],"time-wise,":[124],"space-wise":[125],"segment-wise.":[128],"Experiment":[129],"1440":[131],"segments":[133],"90":[135],"subjects":[136],"short-axis":[138],"multiple":[142],"lengths":[143],"prove":[144],"our":[146],"method's":[147],"prediction":[148],"precise":[151],"consistent":[153],"paves":[155],"way":[157],"potential":[160],"implementation":[161],"clinical":[163],"routine.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}