{"id":"https://openalex.org/W2620296437","doi":"https://doi.org/10.1109/tmi.2017.2743464","title":"Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation","display_name":"Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation","publication_year":2017,"publication_date":"2017-09-26","ids":{"openalex":"https://openalex.org/W2620296437","doi":"https://doi.org/10.1109/tmi.2017.2743464","mag":"2620296437","pmid":"https://pubmed.ncbi.nlm.nih.gov/28961105"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2017.2743464","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2743464","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tmi.2017.2743464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038400548","display_name":"Ozan Oktay","orcid":"https://orcid.org/0000-0003-2976-0874"},"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":"Ozan Oktay","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2976-0874","affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032685263","display_name":"Enzo Ferrante","orcid":"https://orcid.org/0000-0002-8500-788X"},"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":"Enzo Ferrante","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8500-788X","affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001104721","display_name":"Konstantinos Kamnitsas","orcid":"https://orcid.org/0000-0003-3281-6509"},"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":"Konstantinos Kamnitsas","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3281-6509","affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064304390","display_name":"Mattias P. Heinrich\u202c","orcid":"https://orcid.org/0000-0002-7489-1972"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mattias Heinrich","raw_affiliation_strings":["Institute of Medical Informatics, University of L\u00fcbeck, L\u00fcbeck, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Informatics, University of L\u00fcbeck, L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"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, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2943-7698","affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000486289","display_name":"Jos\u00e9 Caballero","orcid":"https://orcid.org/0000-0003-3285-8928"},"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":"Jose Caballero","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3285-8928","affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071216592","display_name":"Stuart A. Cook","orcid":"https://orcid.org/0000-0001-6628-194X"},"institutions":[{"id":"https://openalex.org/I4210091428","display_name":"MRC Clinical Trials Unit at UCL","ror":"https://ror.org/001mm6w73","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I4210087105","https://openalex.org/I4210091428","https://openalex.org/I45129253","https://openalex.org/I90344618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stuart A. Cook","raw_affiliation_strings":["MRC Clinical Sciences Centre, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MRC Clinical Sciences Centre, London, U.K","institution_ids":["https://openalex.org/I4210091428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071762687","display_name":"Antonio de Marvao","orcid":"https://orcid.org/0000-0001-9095-5887"},"institutions":[{"id":"https://openalex.org/I4210091428","display_name":"MRC Clinical Trials Unit at UCL","ror":"https://ror.org/001mm6w73","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I4210087105","https://openalex.org/I4210091428","https://openalex.org/I45129253","https://openalex.org/I90344618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Antonio de Marvao","raw_affiliation_strings":["MRC Clinical Sciences Centre, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9095-5887","affiliations":[{"raw_affiliation_string":"MRC Clinical Sciences Centre, London, U.K","institution_ids":["https://openalex.org/I4210091428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089066482","display_name":"Timothy J. W. Dawes","orcid":"https://orcid.org/0000-0001-7871-524X"},"institutions":[{"id":"https://openalex.org/I4210091428","display_name":"MRC Clinical Trials Unit at UCL","ror":"https://ror.org/001mm6w73","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I4210087105","https://openalex.org/I4210091428","https://openalex.org/I45129253","https://openalex.org/I90344618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy Dawes","raw_affiliation_strings":["MRC Clinical Sciences Centre, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7871-524X","affiliations":[{"raw_affiliation_string":"MRC Clinical Sciences Centre, London, U.K","institution_ids":["https://openalex.org/I4210091428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068696789","display_name":"Declan P. O\u2019Regan","orcid":"https://orcid.org/0000-0002-0691-0270"},"institutions":[{"id":"https://openalex.org/I4210091428","display_name":"MRC Clinical Trials Unit at UCL","ror":"https://ror.org/001mm6w73","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I4210087105","https://openalex.org/I4210091428","https://openalex.org/I45129253","https://openalex.org/I90344618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Declan P. O'Regan","raw_affiliation_strings":["MRC Clinical Sciences Centre, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0691-0270","affiliations":[{"raw_affiliation_string":"MRC Clinical Sciences Centre, London, U.K","institution_ids":["https://openalex.org/I4210091428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078127596","display_name":"Bernhard Kainz","orcid":"https://orcid.org/0000-0002-7813-5023"},"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":"Bernhard Kainz","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-7813-5023","affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007222325","display_name":"Ben Glocker","orcid":"https://orcid.org/0000-0002-4897-9356"},"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":"Ben Glocker","raw_affiliation_strings":["Biomedical Image Analysis Group, Imperial College London, London, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]},{"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, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5683-5889","affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis Group, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I4210154413","https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":13,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":{"value":1986,"currency":"EUR","value_usd":2141},"fwci":38.7206,"has_fulltext":false,"cited_by_count":738,"citation_normalized_percentile":{"value":0.99948418,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"37","issue":"2","first_page":"384","last_page":"395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9944000244140625,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9900000095367432,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9810000061988831,"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":0.7811747789382935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7807271480560303},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.663849413394928},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6410573124885559},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5267317295074463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5261667966842651},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.522459864616394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5165508985519409},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5067577958106995},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4493742287158966},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4336804747581482},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42887941002845764},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42225056886672974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3939807415008545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32419365644454956},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.12285056710243225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811747789382935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7807271480560303},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.663849413394928},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6410573124885559},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5267317295074463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5261667966842651},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.522459864616394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5165508985519409},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5067577958106995},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4493742287158966},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4336804747581482},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42887941002845764},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42225056886672974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3939807415008545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32419365644454956},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.12285056710243225},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009202","descriptor_name":"Cardiomyopathies","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009202","descriptor_name":"Cardiomyopathies","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009202","descriptor_name":"Cardiomyopathies","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D009202","descriptor_name":"Cardiomyopathies","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tmi.2017.2743464","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2743464","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:28961105","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28961105","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:1705.08302","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.08302","pdf_url":"https://arxiv.org/pdf/1705.08302","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/150626","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/150626","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/50440","is_oa":true,"landing_page_url":"http://hdl.handle.net/10044/1/50440","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"395","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/tmi.2017.2743464","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2743464","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"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/G7253079222","display_name":null,"funder_award_id":"PG/12/27/29489","funder_id":"https://openalex.org/F4320319992","funder_display_name":"British Heart Foundation"}],"funders":[{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320319992","display_name":"British Heart Foundation","ror":"https://ror.org/02wdwnk04"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1872336954","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1920022804","https://openalex.org/W1985806826","https://openalex.org/W1987015763","https://openalex.org/W2069492174","https://openalex.org/W2093723730","https://openalex.org/W2104469694","https://openalex.org/W2105180511","https://openalex.org/W2105710164","https://openalex.org/W2129259959","https://openalex.org/W2130775436","https://openalex.org/W2133665775","https://openalex.org/W2136655611","https://openalex.org/W2138813262","https://openalex.org/W2142152601","https://openalex.org/W2145094598","https://openalex.org/W2147880316","https://openalex.org/W2152396391","https://openalex.org/W2154956324","https://openalex.org/W2258978862","https://openalex.org/W2274227799","https://openalex.org/W2293078015","https://openalex.org/W2301358467","https://openalex.org/W2327084999","https://openalex.org/W2331128040","https://openalex.org/W2335364074","https://openalex.org/W2337438617","https://openalex.org/W2338532005","https://openalex.org/W2464708700","https://openalex.org/W2470417264","https://openalex.org/W2473108490","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2520402508","https://openalex.org/W2526499595","https://openalex.org/W2526558307","https://openalex.org/W2550409828","https://openalex.org/W2554423077","https://openalex.org/W2560108548","https://openalex.org/W2588773529","https://openalex.org/W2592929672","https://openalex.org/W2614634292","https://openalex.org/W2620487580","https://openalex.org/W2753924563","https://openalex.org/W2949831025","https://openalex.org/W2963470893","https://openalex.org/W2963971305","https://openalex.org/W2964137676","https://openalex.org/W2997574889","https://openalex.org/W3007103623","https://openalex.org/W4300945631","https://openalex.org/W6638484148","https://openalex.org/W6640300118","https://openalex.org/W6680313252","https://openalex.org/W6681096077","https://openalex.org/W6682082992","https://openalex.org/W6704170123"],"related_works":["https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W2071416974"],"abstract_inverted_index":{"Incorporation":[0],"of":[1,14,43,91,131,143,169,175,197,209],"prior":[2,72,107],"knowledge":[3,108],"about":[4],"organ":[5],"shape":[6],"and":[7,30,57,89,164,185,203],"location":[8],"is":[9,65,117,178],"key":[10],"to":[11,34,69,125,156],"improve":[12,165],"performance":[13],"image":[15,37,161],"analysis":[16,158],"approaches.":[17],"In":[18,188],"particular,":[19],"priors":[20],"can":[21,46,152,200],"be":[22,47,153,201],"useful":[23],"in":[24,36,54],"cases":[25],"where":[26,80],"images":[27],"are":[28],"corrupted":[29],"contain":[31],"artefacts":[32],"due":[33],"limitations":[35],"acquisition.":[38],"The":[39,120,173],"highly":[40],"constrained":[41],"nature":[42],"anatomical":[44,106,129],"objects":[45],"well":[48],"captured":[49],"with":[50],"learning-based":[51],"techniques.":[52],"However,":[53],"most":[55],"recent":[56],"promising":[58],"techniques":[59],"such":[60,71],"as":[61,77,205],"CNN-based":[62],"segmentation":[63],"it":[64],"not":[66,85],"obvious":[67],"how":[68,192],"incorporate":[70,86],"knowledge.":[73],"State-of-the-art":[74],"methods":[75],"operate":[76],"pixel-wise":[78],"classifiers":[79],"the":[81,87,92,127,132,144,149,166,170,193],"training":[82,102],"objectives":[83],"do":[84],"structure":[88],"inter-dependencies":[90],"output.":[93],"To":[94],"overcome":[95],"this":[96],"limitation,":[97],"we":[98,190],"propose":[99],"a":[100,112],"generic":[101],"strategy":[103],"that":[104,148],"incorporates":[105],"into":[109],"CNNs":[110],"through":[111],"new":[113,121],"regularisation":[114],"model,":[115],"which":[116],"trained":[118],"end-to-end.":[119],"framework":[122],"encourages":[123],"models":[124,196],"follow":[126],"global":[128],"properties":[130],"underlying":[133],"anatomy":[134],"(e.g.":[135,160],"shape,":[136],"label":[137],"structure)":[138],"via":[139],"learnt":[140,194],"non-linear":[141],"representations":[142],"shape.":[145],"We":[146],"show":[147],"proposed":[150],"approach":[151,177],"easily":[154],"adapted":[155],"different":[157],"tasks":[159],"enhancement,":[162],"segmentation)":[163],"prediction":[167],"accuracy":[168],"state-of-the-art":[171],"models.":[172],"applicability":[174],"our":[176],"shown":[179],"on":[180],"multi-modal":[181],"cardiac":[182,210],"data":[183],"sets":[184],"public":[186],"benchmarks.":[187],"addition,":[189],"demonstrate":[191],"deep":[195],"3-D":[198],"shapes":[199],"interpreted":[202],"used":[204],"biomarkers":[206],"for":[207],"classification":[208],"pathologies.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":64},{"year":2024,"cited_by_count":60},{"year":2023,"cited_by_count":86},{"year":2022,"cited_by_count":80},{"year":2021,"cited_by_count":137},{"year":2020,"cited_by_count":121},{"year":2019,"cited_by_count":122},{"year":2018,"cited_by_count":47},{"year":2017,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
