{"id":"https://openalex.org/W2778924750","doi":"https://doi.org/10.1109/tmi.2017.2785879","title":"DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction","display_name":"DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction","publication_year":2017,"publication_date":"2017-12-21","ids":{"openalex":"https://openalex.org/W2778924750","doi":"https://doi.org/10.1109/tmi.2017.2785879","mag":"2778924750","pmid":"https://pubmed.ncbi.nlm.nih.gov/29870361"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2017.2785879","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2785879","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":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tmi.2017.2785879","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100436460","display_name":"Guang Yang","orcid":"https://orcid.org/0000-0001-7344-7733"},"institutions":[{"id":"https://openalex.org/I4210101049","display_name":"Lung Institute","ror":"https://ror.org/016978714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101049"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guang Yang","raw_affiliation_strings":["Imperial College London, National Heart &#x0026; Lung Institute, London, U.K","Imperial College London, National Heart & Lung Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London, National Heart &#x0026; Lung Institute, London, U.K","institution_ids":["https://openalex.org/I4210101049"]},{"raw_affiliation_string":"Imperial College London, National Heart & Lung Institute, London, U.K","institution_ids":["https://openalex.org/I4210101049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087557594","display_name":"Simiao Yu","orcid":"https://orcid.org/0000-0003-4751-0780"},"institutions":[{"id":"https://openalex.org/I4210109636","display_name":"NIHR Imperial Biomedical Research Centre","ror":"https://ror.org/01kmhx639","country_code":"GB","type":"facility","lineage":["https://openalex.org/I34931013","https://openalex.org/I4210109636"]},{"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":"Simiao Yu","raw_affiliation_strings":["Imperial College London, Data Science Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London, Data Science Institute, London, U.K","institution_ids":["https://openalex.org/I4210109636","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709867","display_name":"Hao Dong","orcid":"https://orcid.org/0000-0002-7984-9909"},"institutions":[{"id":"https://openalex.org/I4210109636","display_name":"NIHR Imperial Biomedical Research Centre","ror":"https://ror.org/01kmhx639","country_code":"GB","type":"facility","lineage":["https://openalex.org/I34931013","https://openalex.org/I4210109636"]},{"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":"Hao Dong","raw_affiliation_strings":["Imperial College London, Data Science Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London, Data Science Institute, London, U.K","institution_ids":["https://openalex.org/I4210109636","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037886447","display_name":"Greg Slabaugh","orcid":"https://orcid.org/0000-0003-4060-5226"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Greg Slabaugh","raw_affiliation_strings":["Department of Computer Science, City University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of London, London, U.K","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053203917","display_name":"Pier Luigi Dragotti","orcid":"https://orcid.org/0000-0002-6073-2807"},"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"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pier Luigi Dragotti","raw_affiliation_strings":["EEE Department, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"EEE Department, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037392936","display_name":"Xujiong Ye","orcid":"https://orcid.org/0000-0003-0115-0724"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xujiong Ye","raw_affiliation_strings":["School of Computer Science, University of Lincoln, Lincoln, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Lincoln, Lincoln, U.K","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050145080","display_name":"Fangde Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109636","display_name":"NIHR Imperial Biomedical Research Centre","ror":"https://ror.org/01kmhx639","country_code":"GB","type":"facility","lineage":["https://openalex.org/I34931013","https://openalex.org/I4210109636"]},{"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":"Fangde Liu","raw_affiliation_strings":["Imperial College London, Data Science Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London, Data Science Institute, London, U.K","institution_ids":["https://openalex.org/I4210109636","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082445591","display_name":"Simon Arridge","orcid":"https://orcid.org/0000-0003-1292-0210"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Arridge","raw_affiliation_strings":["CMIC, University College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"CMIC, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052451660","display_name":"Jennifer Keegan","orcid":"https://orcid.org/0000-0002-8080-8442"},"institutions":[{"id":"https://openalex.org/I4210101049","display_name":"Lung Institute","ror":"https://ror.org/016978714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101049"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Keegan","raw_affiliation_strings":["Imperial College London, National Heart &#x0026; Lung Institute, London, U.K","Imperial College London, National Heart & Lung Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London, National Heart &#x0026; Lung Institute, London, U.K","institution_ids":["https://openalex.org/I4210101049"]},{"raw_affiliation_string":"Imperial College London, National Heart & Lung Institute, London, U.K","institution_ids":["https://openalex.org/I4210101049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045081171","display_name":"Yike Guo","orcid":"https://orcid.org/0000-0002-3075-2161"},"institutions":[{"id":"https://openalex.org/I4210109636","display_name":"NIHR Imperial Biomedical Research Centre","ror":"https://ror.org/01kmhx639","country_code":"GB","type":"facility","lineage":["https://openalex.org/I34931013","https://openalex.org/I4210109636"]},{"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":"Yike Guo","raw_affiliation_strings":["Imperial College London, Data Science Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London, Data Science Institute, London, U.K","institution_ids":["https://openalex.org/I4210109636","https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047234552","display_name":"David Firmin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101049","display_name":"Lung Institute","ror":"https://ror.org/016978714","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101049"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Firmin","raw_affiliation_strings":["Imperial College London, National Heart &#x0026; Lung Institute, London, U.K","Imperial College London, National Heart & Lung Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London, National Heart &#x0026; Lung Institute, London, U.K","institution_ids":["https://openalex.org/I4210101049"]},{"raw_affiliation_string":"Imperial College London, National Heart & Lung Institute, London, U.K","institution_ids":["https://openalex.org/I4210101049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100436460"],"corresponding_institution_ids":["https://openalex.org/I4210101049"],"apc_list":null,"apc_paid":null,"fwci":69.1905,"has_fulltext":false,"cited_by_count":1097,"citation_normalized_percentile":{"value":0.99976682,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"37","issue":"6","first_page":"1310","last_page":"1321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.8060714602470398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.739958643913269},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7164139151573181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6997150778770447},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6862727403640747},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6046326160430908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5195532441139221},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5168929100036621},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4459095895290375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39898765087127686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36537089943885803},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.3565024733543396},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.10961627960205078}],"concepts":[{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.8060714602470398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739958643913269},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7164139151573181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6997150778770447},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6862727403640747},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6046326160430908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5195532441139221},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5168929100036621},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4459095895290375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39898765087127686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36537089943885803},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.3565024733543396},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.10961627960205078}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1109/tmi.2017.2785879","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2785879","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:29870361","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29870361","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:eprints.lincoln.ac.uk:31056","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196275","display_name":"Lincoln Repository (University of Lincoln)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51532219","host_organization_name":"University of Lincoln","host_organization_lineage":["https://openalex.org/I51532219"],"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"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10048154","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10048154/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   IEEE Transactions on Medical Imaging       (2017)     (In press).  ","raw_type":"Article"},{"id":"pmh:oai:figshare.com:article/24369805","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/DAGAN_deep_de-aliasing_generative_adversarial_networks_for_fast_compressed_sensing_MRI_reconstruction/24369805","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-122770","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85039809280&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/55724","is_oa":true,"landing_page_url":"http://hdl.handle.net/10044/1/55724","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":"1321","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/tmi.2017.2785879","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2785879","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/G1934935867","display_name":null,"funder_award_id":"Engineering and Physical Sciences R","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2060262717","display_name":null,"funder_award_id":"PG/16/78/32402","funder_id":"https://openalex.org/F4320319992","funder_display_name":"British Heart Foundation"},{"id":"https://openalex.org/G2198755152","display_name":null,"funder_award_id":"NC/L001861/1","funder_id":"https://openalex.org/F4320320333","funder_display_name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research"},{"id":"https://openalex.org/G2810537366","display_name":null,"funder_award_id":"EP/M020533/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G59803654","display_name":null,"funder_award_id":"EP/K503800/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7300424206","display_name":null,"funder_award_id":"EP/K503800/1, NC/L001861/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7442433109","display_name":null,"funder_award_id":"NC/L001861/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8311211809","display_name":null,"funder_award_id":"EP/K503800/1","funder_id":"https://openalex.org/F4320320324","funder_display_name":"University of Nottingham"}],"funders":[{"id":"https://openalex.org/F4320319992","display_name":"British Heart Foundation","ror":"https://ror.org/02wdwnk04"},{"id":"https://openalex.org/F4320320324","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58"},{"id":"https://openalex.org/F4320320333","display_name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research","ror":"https://ror.org/02w0kg036"},{"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":94,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1632189345","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1983793191","https://openalex.org/W1991844483","https://openalex.org/W1996287810","https://openalex.org/W2007414430","https://openalex.org/W2014547837","https://openalex.org/W2023005931","https://openalex.org/W2025076375","https://openalex.org/W2029816571","https://openalex.org/W2030773813","https://openalex.org/W2056777447","https://openalex.org/W2057691469","https://openalex.org/W2070678378","https://openalex.org/W2082084229","https://openalex.org/W2093621384","https://openalex.org/W2099471712","https://openalex.org/W2101675075","https://openalex.org/W2103011429","https://openalex.org/W2104266187","https://openalex.org/W2108207814","https://openalex.org/W2111388536","https://openalex.org/W2113030459","https://openalex.org/W2114504143","https://openalex.org/W2115723093","https://openalex.org/W2116523778","https://openalex.org/W2117539524","https://openalex.org/W2117882039","https://openalex.org/W2124033848","https://openalex.org/W2125389028","https://openalex.org/W2134120396","https://openalex.org/W2141168890","https://openalex.org/W2145020729","https://openalex.org/W2146337213","https://openalex.org/W2148232185","https://openalex.org/W2151503710","https://openalex.org/W2154108863","https://openalex.org/W2156163116","https://openalex.org/W2163973643","https://openalex.org/W2167233877","https://openalex.org/W2168668658","https://openalex.org/W2173520492","https://openalex.org/W2176563895","https://openalex.org/W2191349405","https://openalex.org/W2212041357","https://openalex.org/W2281493160","https://openalex.org/W2296616510","https://openalex.org/W2304034118","https://openalex.org/W2331176748","https://openalex.org/W2338192887","https://openalex.org/W2442117232","https://openalex.org/W2520016695","https://openalex.org/W2533800772","https://openalex.org/W2552808051","https://openalex.org/W2556016755","https://openalex.org/W2566832195","https://openalex.org/W2594014149","https://openalex.org/W2604388535","https://openalex.org/W2613456556","https://openalex.org/W2619122209","https://openalex.org/W2884745705","https://openalex.org/W2949117887","https://openalex.org/W2950276680","https://openalex.org/W2963073614","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2963793388","https://openalex.org/W2964121744","https://openalex.org/W2964201867","https://openalex.org/W2964313012","https://openalex.org/W3099212461","https://openalex.org/W3100694778","https://openalex.org/W4249760698","https://openalex.org/W4250955649","https://openalex.org/W4297813639","https://openalex.org/W4299967799","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6678360021","https://openalex.org/W6681686951","https://openalex.org/W6682614849","https://openalex.org/W6685352114","https://openalex.org/W6702191377","https://openalex.org/W6729455701","https://openalex.org/W6732249622","https://openalex.org/W6734865042","https://openalex.org/W6737866443"],"related_works":["https://openalex.org/W2212041357","https://openalex.org/W2895530314","https://openalex.org/W3011226087","https://openalex.org/W1959447026","https://openalex.org/W2052082011","https://openalex.org/W2903019797","https://openalex.org/W1974004433","https://openalex.org/W3085983939","https://openalex.org/W3150504174","https://openalex.org/W2218273114"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1],"magnetic":[2],"resonance":[3],"imaging":[4],"(CS-MRI)":[5],"enables":[6],"fast":[7,50],"acquisition,":[8],"which":[9,52,146,233],"is":[10,124,227,234],"highly":[11],"desirable":[12],"for":[13,84,236],"numerous":[14],"clinical":[15],"applications.":[16],"This":[17,77],"can":[18],"not":[19],"only":[20,98],"reduce":[21,32,152],"the":[22,36,63,162,167,186],"scanning":[23],"cost":[24],"and":[25,35,88,105,159,188,203],"ease":[26],"patient":[27],"burden,":[28],"but":[29],"also":[30],"potentially":[31],"motion":[33],"artefacts":[34],"effect":[37],"of":[38,86],"contrast":[39],"washout,":[40],"thus":[41],"yielding":[42],"better":[43,156],"image":[44,187,222,226],"quality.":[45],"Different":[46],"from":[47,101,108],"parallel":[48],"imaging-based":[49],"MRI,":[51],"utilizes":[53],"multiple":[54],"coils":[55],"to":[56,67,126,140,151,181],"simultaneously":[57],"receive":[58],"MR":[59],"signals,":[60],"CS-MRI":[61,200],"breaks":[62],"Nyquist-Shannon":[64],"sampling":[65],"barrier":[66],"reconstruct":[68,127],"MRI":[69],"images":[70],"with":[71,170,197,210,219],"much":[72],"less":[73],"required":[74],"raw":[75],"data.":[76],"paper":[78],"provides":[79,147,216],"a":[80,90,102,115,136],"deep":[81,206],"learning-based":[82],"strategy":[83],"reconstruction":[85,201,218],"CS-MRI,":[87],"bridges":[89],"substantial":[91],"gap":[92],"between":[93],"conventional":[94,199],"non-learning":[95],"methods":[96,202],"working":[97],"on":[99],"data":[100,111],"single":[103],"image,":[104],"prior":[106],"knowledge":[107],"large":[109],"training":[110],"sets.":[112],"In":[113,129,175],"particular,":[114],"novel":[116],"conditional":[117],"Generative":[118],"Adversarial":[119],"Networks-based":[120],"model":[121,123],"(DAGAN)-based":[122],"proposed":[125],"CS-MRI.":[128],"our":[130,142,213],"DAGAN":[131,214],"architecture,":[132],"we":[133,164,177],"have":[134,165,192],"designed":[135],"refinement":[137],"learning":[138,207],"method":[139,215],"stabilize":[141],"U-Net":[143],"based":[144],"generator,":[145],"an":[148,171],"end-to-end":[149],"network":[150],"aliasing":[153],"artefacts.":[154],"To":[155],"preserve":[157],"texture":[158],"edges":[160],"in":[161,184,229],"reconstruction,":[163],"coupled":[166],"adversarial":[168],"loss":[169],"innovative":[172],"content":[173],"loss.":[174],"addition,":[176],"incorporate":[178],"frequency-domain":[179],"information":[180],"enforce":[182],"similarity":[183],"both":[185,198],"frequency":[189],"domains.":[190],"We":[191],"performed":[193],"comprehensive":[194],"comparison":[195],"studies":[196],"newly":[204],"investigated":[205],"approaches.":[208],"Compared":[209],"these":[211],"methods,":[212],"superior":[217],"preserved":[220],"perceptual":[221],"details.":[223],"Furthermore,":[224],"each":[225],"reconstructed":[228],"about":[230],"5":[231],"ms,":[232],"suitable":[235],"real-time":[237],"processing.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":109},{"year":2024,"cited_by_count":121},{"year":2023,"cited_by_count":144},{"year":2022,"cited_by_count":168},{"year":2021,"cited_by_count":217},{"year":2020,"cited_by_count":186},{"year":2019,"cited_by_count":105},{"year":2018,"cited_by_count":31},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
