{"id":"https://openalex.org/W4315473112","doi":"https://doi.org/10.1109/tmi.2023.3234968","title":"Fast and Calibrationless Low-Rank Parallel Imaging Reconstruction Through Unrolled Deep Learning Estimation of Multi-Channel Spatial Support Maps","display_name":"Fast and Calibrationless Low-Rank Parallel Imaging Reconstruction Through Unrolled Deep Learning Estimation of Multi-Channel Spatial Support Maps","publication_year":2023,"publication_date":"2023-01-10","ids":{"openalex":"https://openalex.org/W4315473112","doi":"https://doi.org/10.1109/tmi.2023.3234968","pmid":"https://pubmed.ncbi.nlm.nih.gov/37018640"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3234968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3234968","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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017468904","display_name":"Zheyuan Yi","orcid":"https://orcid.org/0000-0002-4833-4419"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zheyuan Yi","raw_affiliation_strings":["Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4833-4419","affiliations":[{"raw_affiliation_string":"Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062751136","display_name":"Jiahao Hu","orcid":"https://orcid.org/0000-0002-3442-9150"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Jiahao Hu","raw_affiliation_strings":["Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087170565","display_name":"Yujiao Zhao","orcid":"https://orcid.org/0000-0001-8063-887X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yujiao Zhao","raw_affiliation_strings":["Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-8063-887X","affiliations":[{"raw_affiliation_string":"Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006768575","display_name":"Linfang Xiao","orcid":"https://orcid.org/0000-0002-3508-7842"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Linfang Xiao","raw_affiliation_strings":["Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638607","display_name":"Yilong Liu","orcid":"https://orcid.org/0000-0001-9295-7982"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yilong Liu","raw_affiliation_strings":["Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-9295-7982","affiliations":[{"raw_affiliation_string":"Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000017093","display_name":"Alex T. L. Leong","orcid":"https://orcid.org/0000-0003-1633-0445"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Alex T. L. Leong","raw_affiliation_strings":["Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405410","display_name":"Fei Chen","orcid":"https://orcid.org/0000-0002-6988-492X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Chen","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6988-492X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047512270","display_name":"EX Wu","orcid":"https://orcid.org/0000-0001-5581-1546"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ed X. Wu","raw_affiliation_strings":["Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-5581-1546","affiliations":[{"raw_affiliation_string":"Laboratory of Biomedical Imaging and Signal Processing and Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4553,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.811554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"42","issue":"6","first_page":"1644","last_page":"1655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":1.0,"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":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9987999796867371,"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":0.698407769203186},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5965022444725037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5462847948074341},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5150198936462402},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4818669259548187},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47179287672042847},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43308329582214355},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.430547833442688},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.42560383677482605},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4147157371044159},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38932135701179504},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19177931547164917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16369101405143738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698407769203186},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5965022444725037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5462847948074341},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5150198936462402},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4818669259548187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47179287672042847},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43308329582214355},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.430547833442688},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.42560383677482605},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4147157371044159},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38932135701179504},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19177931547164917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16369101405143738},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2023.3234968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3234968","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:37018640","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37018640","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}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1907810977","display_name":null,"funder_award_id":"HKU17127021","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G2386707469","display_name":null,"funder_award_id":"R7003-19","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G5808979047","display_name":null,"funder_award_id":"HKU17104020","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G5822190534","display_name":null,"funder_award_id":"HKU17103819","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G7571881186","display_name":null,"funder_award_id":"HKU17112120","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G8300195768","display_name":null,"funder_award_id":"HKU17127121","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W19536506","https://openalex.org/W1186184816","https://openalex.org/W1497904071","https://openalex.org/W1594359125","https://openalex.org/W1901129140","https://openalex.org/W1956034203","https://openalex.org/W1977828379","https://openalex.org/W2009238259","https://openalex.org/W2047544187","https://openalex.org/W2097897435","https://openalex.org/W2101675075","https://openalex.org/W2111388536","https://openalex.org/W2117649283","https://openalex.org/W2120174605","https://openalex.org/W2165142794","https://openalex.org/W2226146394","https://openalex.org/W2238898390","https://openalex.org/W2330813655","https://openalex.org/W2601784259","https://openalex.org/W2604388535","https://openalex.org/W2604684372","https://openalex.org/W2611467245","https://openalex.org/W2624871570","https://openalex.org/W2773850766","https://openalex.org/W2785239769","https://openalex.org/W2789372283","https://openalex.org/W2795380527","https://openalex.org/W2893726093","https://openalex.org/W2911290743","https://openalex.org/W2936194729","https://openalex.org/W2963682501","https://openalex.org/W2969785455","https://openalex.org/W2975107135","https://openalex.org/W2995256665","https://openalex.org/W2999220188","https://openalex.org/W3001319253","https://openalex.org/W3004715589","https://openalex.org/W3005709683","https://openalex.org/W3012906128","https://openalex.org/W3047706622","https://openalex.org/W3100730608","https://openalex.org/W3113722705","https://openalex.org/W3125909551","https://openalex.org/W3126256014","https://openalex.org/W3133902371","https://openalex.org/W3137984567","https://openalex.org/W3165032792","https://openalex.org/W3183777577","https://openalex.org/W3201851419","https://openalex.org/W3215899037","https://openalex.org/W4200635639","https://openalex.org/W4205855887","https://openalex.org/W4226299374","https://openalex.org/W4230563464","https://openalex.org/W6627792570","https://openalex.org/W6639824700","https://openalex.org/W6735857669","https://openalex.org/W6739365718","https://openalex.org/W6760941043","https://openalex.org/W6772152462","https://openalex.org/W6801723925","https://openalex.org/W6811504787"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4327774331","https://openalex.org/W4312962853","https://openalex.org/W2738221750","https://openalex.org/W4311224126"],"abstract_inverted_index":{"Low-rank":[0],"technique":[1],"has":[2],"emerged":[3],"as":[4,19,162],"a":[5,75,96,114,143,230],"powerful":[6],"calibrationless":[7,78,237],"alternative":[8],"for":[9,68,138],"parallel":[10],"magnetic":[11],"resonance":[12],"(MR)":[13],"imaging.":[14,71],"Calibrationless":[15],"low-rank":[16,20,45,79,109,238],"reconstruction,":[17,239],"such":[18],"modeling":[21],"of":[22,39,81,101,108,149,214],"local":[23],"k-space":[24],"neighborhoods":[25],"(LORAKS),":[26],"implicitly":[27],"exploits":[28],"both":[29],"coil":[30,130],"sensitivity":[31],"modulations":[32],"and":[33,58,77,165,182,216,245],"the":[34,89,127,140,158,169,235],"finite":[35,90],"spatial":[36,91,102,150,197],"support":[37,92,103,151,198],"constraint":[38,93],"MR":[40,84,129],"images":[41],"through":[42],"an":[43],"iterative":[44],"matrix":[46],"recovery":[47],"process.":[48],"Although":[49],"powerful,":[50],"this":[51],"slow":[52],"iteration":[53,106],"process":[54,107],"is":[55,111],"computationally":[56,242],"demanding":[57],"reconstruction":[59,80,110,181,205],"requires":[60],"empirical":[61],"rank":[62],"optimization,":[63],"hampering":[64],"its":[65],"robust":[66,246],"applications":[67],"high-resolution":[69],"volume":[70],"This":[72,173],"paper":[73],"proposes":[74],"fast":[76],"undersampled":[82,201],"multi-slice":[83,121],"brain":[85,123,155,190],"data,":[86,202],"based":[87],"on":[88,119,146],"reformulation":[94],"with":[95,179,185],"direct":[97],"deep":[98,174,226],"learning":[99,175,227],"estimation":[100],"maps.":[104],"The":[105],"unrolled":[112],"into":[113],"complex-valued":[115],"network":[116],"by":[117],"training":[118],"fully-sampled":[120],"axial":[122],"datasets":[124],"acquired":[125,164],"from":[126,200],"same":[128],"system.":[131],"To":[132],"utilize":[133],"coil-subject":[134],"geometric":[135],"parameters":[136],"available":[137,187],"datasets,":[139],"model":[141],"minimizes":[142],"hybrid":[144],"loss":[145],"two":[147],"sets":[148],"maps,":[152],"corresponding":[153],"to":[154,211,233],"data":[156],"at":[157,219],"original":[159],"slice":[160],"locations":[161,167],"actually":[163],"nearby":[166],"within":[168],"standard":[170],"reference":[171],"coordinate.":[172],"framework":[176,228],"was":[177,183],"integrated":[178],"LORAKS":[180],"evaluated":[184],"publically":[186],"gradient-echo":[188],"T1-weighted":[189],"datasets.":[191],"It":[192],"directly":[193],"produced":[194],"high-quality":[195],"multi-channel":[196],"maps":[199],"enabling":[203],"rapid":[204],"without":[206],"iteration.":[207],"Moreover,":[208],"it":[209,241],"led":[210],"effective":[212],"reductions":[213],"artifacts":[215],"noise":[217],"amplification":[218],"high":[220],"acceleration.":[221],"In":[222],"summary,":[223],"our":[224],"proposed":[225],"offers":[229],"new":[231],"strategy":[232],"advance":[234],"existing":[236],"rendering":[240],"efficient,":[243],"simple,":[244],"in":[247],"practice.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}