{"id":"https://openalex.org/W2807082523","doi":"https://doi.org/10.1109/isbi.2018.8363616","title":"Automatic left ventricular outflow tract classification for accurate cardiac MR planning","display_name":"Automatic left ventricular outflow tract classification for accurate cardiac MR planning","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2807082523","doi":"https://doi.org/10.1109/isbi.2018.8363616","mag":"2807082523"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","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/A5080738214","display_name":"\u0130lkay \u00d6ks\u00fcz","orcid":"https://orcid.org/0000-0001-6478-0534"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ilkay Oksuz","raw_affiliation_strings":["King's College, School of Biomedical Engineering & Imaging Sciences, London, UK"],"affiliations":[{"raw_affiliation_string":"King's College, School of Biomedical Engineering & Imaging Sciences, London, UK","institution_ids":["https://openalex.org/I4210119896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017052604","display_name":"Bram Ruijsink","orcid":"https://orcid.org/0000-0001-8313-5709"},"institutions":[{"id":"https://openalex.org/I200166805","display_name":"Guy's and St Thomas' NHS Foundation Trust","ror":"https://ror.org/00j161312","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I200166805"]},{"id":"https://openalex.org/I1324925910","display_name":"St Thomas' Hospital","ror":"https://ror.org/054gk2851","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I1324925910","https://openalex.org/I200166805","https://openalex.org/I4210111135"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bram Ruijsink","raw_affiliation_strings":["Guy's and St Thomas' Hospital NHS Foundation Trust, London, UK"],"affiliations":[{"raw_affiliation_string":"Guy's and St Thomas' Hospital NHS Foundation Trust, London, UK","institution_ids":["https://openalex.org/I200166805","https://openalex.org/I1324925910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084355147","display_name":"Esther Puyol\u2010Ant\u00f3n","orcid":"https://orcid.org/0000-0002-9789-6629"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Esther Puyol-Anton","raw_affiliation_strings":["King's College, School of Biomedical Engineering & Imaging Sciences, London, UK"],"affiliations":[{"raw_affiliation_string":"King's College, School of Biomedical Engineering & Imaging Sciences, London, UK","institution_ids":["https://openalex.org/I4210119896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101719622","display_name":"Matthew Sinclair","orcid":"https://orcid.org/0000-0003-0480-4834"},"institutions":[{"id":"https://openalex.org/I4210154413","display_name":"Institute of Group Analysis","ror":"https://ror.org/05bnh6b29","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210154413"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matthew Sinclair","raw_affiliation_strings":["Department of Computing, Biomedical Image Analysis Group, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Biomedical Image Analysis Group, London, UK","institution_ids":["https://openalex.org/I4210154413"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006461848","display_name":"Daniel Rueckert","orcid":"https://orcid.org/0000-0002-5683-5889"},"institutions":[{"id":"https://openalex.org/I4210154413","display_name":"Institute of Group Analysis","ror":"https://ror.org/05bnh6b29","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210154413"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Rueckert","raw_affiliation_strings":["Department of Computing, Biomedical Image Analysis Group, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Biomedical Image Analysis Group, London, UK","institution_ids":["https://openalex.org/I4210154413"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019012882","display_name":"Julia A. Schnabel","orcid":"https://orcid.org/0000-0001-6107-3009"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Julia A. Schnabel","raw_affiliation_strings":["King's College, School of Biomedical Engineering & Imaging Sciences, London, UK"],"affiliations":[{"raw_affiliation_string":"King's College, School of Biomedical Engineering & Imaging Sciences, London, UK","institution_ids":["https://openalex.org/I4210119896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033570737","display_name":"Andrew P. King","orcid":"https://orcid.org/0000-0002-9965-7015"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew P. King","raw_affiliation_strings":["King's College, School of Biomedical Engineering & Imaging Sciences, London, UK"],"affiliations":[{"raw_affiliation_string":"King's College, School of Biomedical Engineering & Imaging Sciences, London, UK","institution_ids":["https://openalex.org/I4210119896"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5080738214"],"corresponding_institution_ids":["https://openalex.org/I4210119896"],"apc_list":null,"apc_paid":null,"fwci":0.7443,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.76670118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"462","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9922000169754028,"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":0.9922000169754028,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9814000129699707,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9765999913215637,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6984537839889526},{"id":"https://openalex.org/keywords/ventricular-outflow-tract","display_name":"Ventricular outflow tract","score":0.6761082410812378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.619325578212738},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5960173606872559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5643936991691589},{"id":"https://openalex.org/keywords/fully-automatic","display_name":"Fully automatic","score":0.44007983803749084},{"id":"https://openalex.org/keywords/short-axis","display_name":"Short axis","score":0.42315351963043213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40763986110687256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32571133971214294},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2234852910041809},{"id":"https://openalex.org/keywords/long-axis","display_name":"Long axis","score":0.171542227268219},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1506425142288208},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1142282783985138},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10309106111526489}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6984537839889526},{"id":"https://openalex.org/C2777361368","wikidata":"https://www.wikidata.org/wiki/Q7920318","display_name":"Ventricular outflow tract","level":2,"score":0.6761082410812378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619325578212738},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5960173606872559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5643936991691589},{"id":"https://openalex.org/C3019831412","wikidata":"https://www.wikidata.org/wiki/Q5778278","display_name":"Fully automatic","level":2,"score":0.44007983803749084},{"id":"https://openalex.org/C3018842581","wikidata":"https://www.wikidata.org/wiki/Q488415","display_name":"Short axis","level":3,"score":0.42315351963043213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40763986110687256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32571133971214294},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2234852910041809},{"id":"https://openalex.org/C2988186910","wikidata":"https://www.wikidata.org/wiki/Q29588829","display_name":"Long axis","level":2,"score":0.171542227268219},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1506425142288208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1142282783985138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10309106111526489},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2018.8363616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5847502682","display_name":null,"funder_award_id":"EP/P001009/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6333133484","display_name":null,"funder_award_id":"EP/N026993/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7491718243","display_name":null,"funder_award_id":"EP/M000133/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W154056955","https://openalex.org/W2050609869","https://openalex.org/W2051596736","https://openalex.org/W2051693142","https://openalex.org/W2112796928","https://openalex.org/W2258978862","https://openalex.org/W2295107390","https://openalex.org/W2295802084","https://openalex.org/W2520402508","https://openalex.org/W2522648674","https://openalex.org/W2593232761","https://openalex.org/W2605159090","https://openalex.org/W2606576226","https://openalex.org/W2751665805","https://openalex.org/W2752001514","https://openalex.org/W2752595895","https://openalex.org/W2757201831","https://openalex.org/W6692605782"],"related_works":["https://openalex.org/W2097993670","https://openalex.org/W1602204636","https://openalex.org/W2081065608","https://openalex.org/W2297343964","https://openalex.org/W140184461","https://openalex.org/W2056643023","https://openalex.org/W1590687086","https://openalex.org/W2051912906","https://openalex.org/W1781022126","https://openalex.org/W2095546840"],"abstract_inverted_index":{"Cardiac":[0],"MR":[1,155],"planning":[2,23],"is":[3,24,78,121,129],"important":[4],"to":[5,12,47,90,100,131,168],"ensure":[6],"high":[7],"quality":[8,87],"image":[9,65,86],"data":[10],"and":[11,54,80,128,157],"enable":[13],"accurate":[14],"quantification":[15],"of":[16,21,28,37,51,105,148,162,171,173],"cardiac":[17,109,154],"function.":[18],"One":[19],"result":[20],"inaccurate":[22],"an":[25,159],"`off-axis'":[26],"orientation":[27],"the":[29,35,38,73,103,106,149,174],"4-chamber":[30,117,135],"view,":[31],"often":[32],"recognized":[33],"by":[34,60,63],"presence":[36,104],"left":[39],"ventricular":[40],"outflow":[41],"tract":[42],"(LVOT).":[43],"This":[44],"can":[45,112],"lead":[46],"difficulties":[48],"in":[49,108,134,137],"assessment":[50,88],"atrial":[52],"volumes":[53],"septal":[55],"wall":[56],"motion,":[57],"either":[58],"manually":[59],"experts":[61],"or":[62],"automated":[64,81],"analysis":[66,82],"algorithms.":[67],"For":[68],"large":[69],"datasets":[70],"such":[71],"as":[72],"UK":[74,150],"biobank,":[75],"manual":[76],"labelling":[77],"tedious":[79],"pipelines":[83],"including":[84],"automatic":[85],"need":[89],"be":[91],"developed.":[92],"In":[93],"this":[94],"paper,":[95],"we":[96],"propose":[97],"a":[98,146,169],"method":[99,120],"automatically":[101],"detect":[102,132],"LVOT":[107,133],"MRI,":[110],"which":[111],"aid":[113],"identifying":[114],"poorly":[115],"planned":[116],"images.":[118],"Our":[119],"based":[122],"on":[123,145],"Convolutional":[124],"Neural":[125],"Networks":[126],"(CNNs)":[127],"able":[130],"images":[136],"less":[138],"than":[139],"1ms.":[140],"We":[141,164],"test":[142],"our":[143,166],"algorithm":[144],"subset":[147],"biobank":[151],"dataset":[152],"(246":[153],"images)":[156],"achieve":[158],"average":[160],"accuracy":[161],"83%.":[163],"compare":[165],"approach":[167],"range":[170],"state":[172],"art":[175],"classification":[176],"methods.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}