{"id":"https://openalex.org/W4392980287","doi":"https://doi.org/10.1109/aics60730.2023.10470772","title":"Cardiac Magnetic Resonance Phase Detection Using Neural Networks","display_name":"Cardiac Magnetic Resonance Phase Detection Using Neural Networks","publication_year":2023,"publication_date":"2023-12-07","ids":{"openalex":"https://openalex.org/W4392980287","doi":"https://doi.org/10.1109/aics60730.2023.10470772"},"language":"en","primary_location":{"id":"doi:10.1109/aics60730.2023.10470772","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aics60730.2023.10470772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS)","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/A5072077274","display_name":"Carles Garcia-Cabrera","orcid":"https://orcid.org/0000-0001-8139-9647"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Carles Garcia-Cabrera","raw_affiliation_strings":["School of Electronic Engineering and ML-Labs, Dublin City University,Dublin,Ireland","School of Electronic Engineering and ML-Labs, Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and ML-Labs, Dublin City University,Dublin,Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"School of Electronic Engineering and ML-Labs, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031311803","display_name":"Kathleen M. Curran","orcid":"https://orcid.org/0000-0003-0095-9337"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Kathleen M. Curran","raw_affiliation_strings":["School of Medicine, University College Dublin,Dublin,Ireland","School of Medicine, University College Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Medicine, University College Dublin,Dublin,Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"School of Medicine, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106498523","display_name":"Noel E. O\u2019Connor","orcid":"https://orcid.org/0000-0002-4033-9135"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Noel E. O'Connor","raw_affiliation_strings":["Insight SFI Research Centre for Data Analytics, Dublin City University,Dublin,Ireland","Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University,Dublin,Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073924795","display_name":"Kevin McGuinness","orcid":"https://orcid.org/0000-0003-1336-6477"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Kevin McGuinness","raw_affiliation_strings":["School of Electronic Engineering, Dublin City University,Dublin,Ireland","School of Electronic Engineering, Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Dublin City University,Dublin,Ireland","institution_ids":["https://openalex.org/I42934936"]},{"raw_affiliation_string":"School of Electronic Engineering, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072077274"],"corresponding_institution_ids":["https://openalex.org/I42934936"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41300946,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9146000146865845,"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":0.9146000146865845,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5911226868629456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5292070508003235},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5161091089248657},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.46477487683296204},{"id":"https://openalex.org/keywords/cardiac-magnetic-resonance","display_name":"Cardiac magnetic resonance","score":0.4224485754966736},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.39758363366127014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32359009981155396},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23679068684577942},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15242409706115723},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.0823584496974945}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5911226868629456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5292070508003235},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5161091089248657},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.46477487683296204},{"id":"https://openalex.org/C2987145844","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance","level":3,"score":0.4224485754966736},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.39758363366127014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32359009981155396},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23679068684577942},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15242409706115723},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0823584496974945},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/aics60730.2023.10470772","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aics60730.2023.10470772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS)","raw_type":"proceedings-article"},{"id":"pmh:oai:doras.dcu.ie:29949","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401511","display_name":"Dublin City University Open Access Institutional Repository (Dublin City University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I42934936","host_organization_name":"Dublin City University","host_organization_lineage":["https://openalex.org/I42934936"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W55104719","https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W2064675550","https://openalex.org/W2075102552","https://openalex.org/W2153784828","https://openalex.org/W2524916860","https://openalex.org/W2804047627","https://openalex.org/W2922146213","https://openalex.org/W3009563704","https://openalex.org/W3127528059","https://openalex.org/W3144182127","https://openalex.org/W3172614365","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3021493803","https://openalex.org/W2257755506","https://openalex.org/W2011111248","https://openalex.org/W4256129901","https://openalex.org/W2002934375","https://openalex.org/W2006468016","https://openalex.org/W2912860444","https://openalex.org/W1907269663","https://openalex.org/W3151415490","https://openalex.org/W2056020138"],"abstract_inverted_index":{"The":[0],"precision":[1],"of":[2,19,31,38,42,63],"cardiac":[3,32,43],"magnetic":[4],"resonance":[5],"segmentation":[6],"is":[7],"an":[8],"important":[9],"area":[10],"to":[11,82],"investigate":[12],"clinically":[13],"and":[14,97],"has":[15,45],"received":[16,46],"a":[17,67,105],"lot":[18],"attention":[20],"from":[21,104],"the":[22,29,35,52,60,64,84,92],"research":[23],"community":[24],"for":[25],"its":[26,56],"impact":[27],"on":[28],"evaluation":[30],"functions.":[33],"However,":[34],"correct":[36,61],"identification":[37],"key":[39,68],"time":[40],"frames":[41],"sequences":[44],"significantly":[47],"less":[48],"attention,":[49],"especially":[50],"in":[51,59,70],"MR":[53],"domain,":[54],"despite":[55],"great":[57],"importance":[58],"measurement":[62],"Ejection":[65],"Fraction,":[66],"metric":[69],"diagnostics.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"present":[76],"two":[77],"deep":[78],"learning":[79],"regression":[80],"methods":[81],"automate":[83],"otherwise":[85],"time-consuming":[86],"annotation":[87],"process,":[88],"with":[89],"performance":[90],"within":[91],"1\u20132":[93],"frame":[94],"distance":[95],"error":[96],"almost":[98],"instant":[99],"calculation":[100],"over":[101],"short-axis":[102],"images":[103],"public":[106],"dataset.":[107],"Results":[108],"are":[109],"presented":[110],"using":[111],"publicly":[112],"available":[113],"data.":[114]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}