{"id":"https://openalex.org/W2891626328","doi":"https://doi.org/10.1007/978-3-030-00928-1_30","title":"Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning","display_name":"Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891626328","doi":"https://doi.org/10.1007/978-3-030-00928-1_30","mag":"2891626328"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-00928-1_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00928-1_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.birmingham.ac.uk/portal/en/publications/cardiac-mr-segmentation-from-undersampled-kspace-using-deep-latent-representation-learning(2f6f2371-6ad5-4a35-97d8-28f2769b0e3d).html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037038047","display_name":"Jo Schlemper","orcid":"https://orcid.org/0000-0003-1867-1155"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"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":true,"raw_author_name":"Jo Schlemper","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038400548","display_name":"Ozan Oktay","orcid":"https://orcid.org/0000-0003-2976-0874"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"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":"Ozan Oktay","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059823739","display_name":"Wenjia Bai","orcid":"https://orcid.org/0000-0003-2943-7698"},"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"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenjia Bai","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037843387","display_name":"Daniel C. Castro","orcid":"https://orcid.org/0000-0002-6829-7045"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"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 C. Castro","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078754523","display_name":"Jinming Duan","orcid":"https://orcid.org/0000-0002-5108-2128"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"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":"Jinming Duan","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362874","display_name":"Chen Qin","orcid":"https://orcid.org/0009-0000-6558-6477"},"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"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chen Qin","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085446806","display_name":"Joseph V. Hajnal","orcid":"https://orcid.org/0000-0002-2690-5495"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jo V. Hajnal","raw_affiliation_strings":["Imaging and Biomedical Engineering Clinical Academic Group, King\u2019s College London, London, UK","Imaging and Biomedical Engineering Clinical Academic Group, King's College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imaging and Biomedical Engineering Clinical Academic Group, King\u2019s College London, London, UK","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Imaging and Biomedical Engineering Clinical Academic Group, King's College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","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"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Rueckert","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, UK","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5037038047"],"corresponding_institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":12.3848,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.98385773,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"259","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994000196456909,"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":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.7634215950965881},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6774700284004211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6615877151489258},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5713294148445129},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5515562891960144},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.5432875752449036},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48427051305770874},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.44781258702278137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44234171509742737},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4353683590888977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4329664707183838},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4309278428554535},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4258113503456116},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2360895872116089},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11734139919281006},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07892465591430664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7634215950965881},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6774700284004211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6615877151489258},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5713294148445129},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5515562891960144},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.5432875752449036},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48427051305770874},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.44781258702278137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44234171509742737},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4353683590888977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4329664707183838},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4309278428554535},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4258113503456116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2360895872116089},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11734139919281006},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07892465591430664},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-00928-1_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00928-1_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:publications/2f6f2371-6ad5-4a35-97d8-28f2769b0e3d","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85054094623&partnerID=8YFLogxK","pdf_url":"https://research.birmingham.ac.uk/portal/en/publications/cardiac-mr-segmentation-from-undersampled-kspace-using-deep-latent-representation-learning(2f6f2371-6ad5-4a35-97d8-28f2769b0e3d).html","source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Schlemper , J , Oktay , O , Bai , W , Castro , D C , Duan , J , Qin , C , Hajnal , J V & Rueckert , D 2018 , Cardiac MR segmentation from undersampled k-space using deep latent representation learning . in J A Schnabel , C Davatzikos , C Alberola-L\u00f3pez , G Fichtinger & A F Frangi (eds) , Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018 : 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 11070 LNCS , Springer Verlag , pp. 259-267 , 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 , Granada , Spain , 16/09/18 . https://doi.org/10.1007/978-3-030-00928-1_30","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:Publications/2f6f2371-6ad5-4a35-97d8-28f2769b0e3d","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/2f6f2371-6ad5-4a35-97d8-28f2769b0e3d","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/2f6f2371-6ad5-4a35-97d8-28f2769b0e3d","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Schlemper, J, Oktay, O, Bai, W, Castro, D C, Duan, J, Qin, C, Hajnal, J V & Rueckert, D 2018, Cardiac MR segmentation from undersampled k-space using deep latent representation learning. in J A Schnabel, C Davatzikos, C Alberola-L\u00f3pez, G Fichtinger & A F Frangi (eds), Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018 : 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11070 LNCS, Springer Verlag, pp. 259-267, 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 16/09/18. https://doi.org/10.1007/978-3-030-00928-1_30","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/2f6f2371-6ad5-4a35-97d8-28f2769b0e3d","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85054094623&partnerID=8YFLogxK","pdf_url":"https://research.birmingham.ac.uk/portal/en/publications/cardiac-mr-segmentation-from-undersampled-kspace-using-deep-latent-representation-learning(2f6f2371-6ad5-4a35-97d8-28f2769b0e3d).html","source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Schlemper , J , Oktay , O , Bai , W , Castro , D C , Duan , J , Qin , C , Hajnal , J V & Rueckert , D 2018 , Cardiac MR segmentation from undersampled k-space using deep latent representation learning . in J A Schnabel , C Davatzikos , C Alberola-L\u00f3pez , G Fichtinger & A F Frangi (eds) , Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018 : 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 11070 LNCS , Springer Verlag , pp. 259-267 , 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 , Granada , Spain , 16/09/18 . https://doi.org/10.1007/978-3-030-00928-1_30","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1961329086","display_name":null,"funder_award_id":"EP/P001009/","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3220489596","display_name":"SmartHeart: Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis and learning","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/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/G8377279092","display_name":null,"funder_award_id":"EP/P001009","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8719353587","display_name":null,"funder_award_id":"EP/P0","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891626328.pdf","grobid_xml":"https://content.openalex.org/works/W2891626328.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W150961595","https://openalex.org/W1567992012","https://openalex.org/W1901129140","https://openalex.org/W2101675075","https://openalex.org/W2258978862","https://openalex.org/W2550323446","https://openalex.org/W2594014149","https://openalex.org/W2604388535","https://openalex.org/W2964137676"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W3048601286","https://openalex.org/W2965925734"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}