{"id":"https://openalex.org/W4386259114","doi":"https://doi.org/10.1109/icsse58758.2023.10227237","title":"CPA-Unet: A Solution for Left Ventricle Segmentation from Magnetic Resonance Images","display_name":"CPA-Unet: A Solution for Left Ventricle Segmentation from Magnetic Resonance Images","publication_year":2023,"publication_date":"2023-07-27","ids":{"openalex":"https://openalex.org/W4386259114","doi":"https://doi.org/10.1109/icsse58758.2023.10227237"},"language":"en","primary_location":{"id":"doi:10.1109/icsse58758.2023.10227237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsse58758.2023.10227237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on System Science and Engineering (ICSSE)","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/A5114116756","display_name":"Ngoc-Tu Vu","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Ngoc-Tu Vu","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering","Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102602557","display_name":"Viet-Tien Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Viet-Tien Pham","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering","Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020470519","display_name":"Van-Truong Pham","orcid":"https://orcid.org/0000-0003-3489-0569"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van-Truong Pham","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering","Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019897482","display_name":"Thi-Thao Tran","orcid":"https://orcid.org/0009-0008-0862-1262"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi-Thao Tran","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering","Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Department of Automation Engineering","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Department of Automation Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114116756"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.3685,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.598155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.972599983215332,"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"}},{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9550999999046326,"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":0.7411389946937561},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7384729981422424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7216648459434509},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.63031005859375},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5789878368377686},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.564417839050293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4964213967323303},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.48838895559310913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4836500883102417},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.46451276540756226},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4519384801387787},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45156338810920715},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4234354496002197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411389946937561},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7384729981422424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7216648459434509},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.63031005859375},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5789878368377686},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.564417839050293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4964213967323303},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.48838895559310913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4836500883102417},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.46451276540756226},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4519384801387787},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45156338810920715},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4234354496002197},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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:10.1109/icsse58758.2023.10227237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsse58758.2023.10227237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on System Science and Engineering (ICSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1745334888","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2327793514","https://openalex.org/W2412782625","https://openalex.org/W2499316477","https://openalex.org/W2560023338","https://openalex.org/W2609625738","https://openalex.org/W2630837129","https://openalex.org/W2752782242","https://openalex.org/W2804047627","https://openalex.org/W2884585870","https://openalex.org/W2963881378","https://openalex.org/W3034552520","https://openalex.org/W3081752372","https://openalex.org/W3127751679","https://openalex.org/W3133394016","https://openalex.org/W3184998487","https://openalex.org/W3204166336","https://openalex.org/W3217500219","https://openalex.org/W4205182665","https://openalex.org/W4210932365","https://openalex.org/W4214604197","https://openalex.org/W4303646595","https://openalex.org/W4313289619","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6739696289","https://openalex.org/W6790275670","https://openalex.org/W6845797306"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2758994127","https://openalex.org/W2386644571"],"abstract_inverted_index":{"Medical":[0],"image":[1,41,98,177],"segmentation":[2,42,118,178],"is":[3],"a":[4,37,73,87],"crucial":[5],"first":[6],"step":[7],"in":[8,66,162],"the":[9,18,45,58,76,117,133,136,152,165],"development":[10],"of":[11,22,39,75,79,114,119,135,164],"healthcare":[12],"and":[13,20,56,139,151,168],"rehabilitation":[14],"systems,":[15],"particularly":[16],"for":[17,94,116,175],"identification":[19],"planning":[21],"cardiovascular":[23],"issues.":[24],"In":[25,82],"recent":[26],"years,":[27],"convolutional":[28],"neural":[29,89],"networks":[30],"(CNNs)":[31],"have":[32],"produced":[33],"outstanding":[34],"results":[35],"on":[36,141],"number":[38],"medical":[40],"tasks.":[43],"Particularly":[44],"U-shaped":[46],"architecture,":[47,91],"also":[48],"known":[49],"as":[50,72],"U-Net,":[51],"has":[52],"been":[53],"extremely":[54],"successful":[55],"set":[57],"de":[59],"facto":[60],"standard.":[61],"U-Net":[62],"often":[63],"demonstrates":[64],"difficulties":[65],"clearly":[67],"expressing":[68],"long-range":[69],"dependency,":[70],"nevertheless,":[71],"result":[74],"innate":[77],"locality":[78],"convolution":[80],"operations.":[81],"this":[83,147],"study,":[84],"we":[85],"propose":[86],"new":[88],"network":[90],"namely":[92],"CPA-Unet":[93,101,157],"problems":[95],"involving":[96],"cardiac":[97],"segmentation.":[99],"The":[100],"model,":[102],"which":[103],"employs":[104],"cutting-edge":[105],"Deep":[106],"Learning":[107],"methods,":[108],"more":[109],"successfully":[110],"provides":[111],"better":[112],"extraction":[113],"features":[115],"desired":[120],"segmented":[121],"objects,":[122],"whereas":[123],"earlier":[124],"models":[125,161],"did":[126],"not":[127],"contribute":[128],"much":[129],"because":[130],"they":[131],"ignored":[132],"details":[134],"channel,":[137],"spatial,":[138],"contextualization":[140],"big":[142],"datasets.":[143],"Our":[144],"experiments":[145],"upon":[146],"Sunnybrook":[148],"Cardiac":[149],"dataset":[150,154],"ACDC":[153],"show":[155],"that":[156],"outperforms":[158],"other":[159],"modern":[160],"terms":[163],"Dice":[166],"coefficient":[167],"IoU":[169],"metric,":[170],"highlighting":[171],"it\u2019s":[172],"own":[173],"applicability":[174],"biomedical":[176],"solutions.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
