{"id":"https://openalex.org/W3137168178","doi":"https://doi.org/10.1109/tmi.2022.3224359","title":"ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms","display_name":"ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W3137168178","doi":"https://doi.org/10.1109/tmi.2022.3224359","mag":"3137168178","pmid":"https://pubmed.ncbi.nlm.nih.gov/36417742"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3224359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3224359","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":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.10631","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076929884","display_name":"Hemant Kumar Aggarwal","orcid":"https://orcid.org/0000-0002-3756-9765"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hemant Kumar Aggarwal","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3756-9765","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091591399","display_name":"Aniket Pramanik","orcid":"https://orcid.org/0000-0001-7335-0077"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aniket Pramanik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7335-0077","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078856547","display_name":"Maneesh John","orcid":"https://orcid.org/0000-0002-1528-7759"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maneesh John","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1528-7759","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mathews Jacob","orcid":"https://orcid.org/0000-0002-0657-6479"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mathews Jacob","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0657-6479","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":2.6983,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89379152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"42","issue":"4","first_page":"1133","last_page":"1144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6523326635360718},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5955924987792969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5850997567176819},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5331985354423523},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.523207426071167},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5208983421325684},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5045889616012573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5041428804397583},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5020978450775146},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48837488889694214},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47385647892951965},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4631447494029999},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41491761803627014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24897652864456177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12694066762924194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523326635360718},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5955924987792969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5850997567176819},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5331985354423523},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.523207426071167},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5208983421325684},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5045889616012573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5041428804397583},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5020978450775146},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48837488889694214},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47385647892951965},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4631447494029999},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41491761803627014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24897652864456177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12694066762924194},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2022.3224359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3224359","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:36417742","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36417742","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:2010.10631","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.10631","pdf_url":"https://arxiv.org/pdf/2010.10631","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:pubmedcentral.nih.gov:10210546","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10210546","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10210546/pdf/nihms-1888756.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.10631","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.10631","pdf_url":"https://arxiv.org/pdf/2010.10631","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"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2035798046","display_name":null,"funder_award_id":"S10 OD025025","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2635987964","display_name":null,"funder_award_id":"R01 AG067078","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G5014117659","display_name":null,"funder_award_id":"R01 EB031169","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G6990257515","display_name":null,"funder_award_id":"R01 EB019961","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1968735445","https://openalex.org/W1990381576","https://openalex.org/W2029816571","https://openalex.org/W2054640142","https://openalex.org/W2079724595","https://openalex.org/W2087332491","https://openalex.org/W2109018632","https://openalex.org/W2109357213","https://openalex.org/W2113920645","https://openalex.org/W2117649283","https://openalex.org/W2133665775","https://openalex.org/W2140742952","https://openalex.org/W2145568341","https://openalex.org/W2145876651","https://openalex.org/W2158940042","https://openalex.org/W2167233877","https://openalex.org/W2552808051","https://openalex.org/W2584483805","https://openalex.org/W2604388535","https://openalex.org/W2738743584","https://openalex.org/W2751646824","https://openalex.org/W2773850766","https://openalex.org/W2778924750","https://openalex.org/W2804034251","https://openalex.org/W2900756484","https://openalex.org/W2902857081","https://openalex.org/W2940107474","https://openalex.org/W2945463326","https://openalex.org/W2947930026","https://openalex.org/W2963682501","https://openalex.org/W2964013315","https://openalex.org/W2964204553","https://openalex.org/W2982505009","https://openalex.org/W3007757852","https://openalex.org/W3031967244","https://openalex.org/W3039236647","https://openalex.org/W3085573405","https://openalex.org/W3087251728","https://openalex.org/W3098398111","https://openalex.org/W3100730608","https://openalex.org/W3103586216","https://openalex.org/W3105636987","https://openalex.org/W4206734100","https://openalex.org/W4213062877","https://openalex.org/W4249760698","https://openalex.org/W4301343136","https://openalex.org/W6729455701","https://openalex.org/W6749271710","https://openalex.org/W6751008754","https://openalex.org/W6755625687","https://openalex.org/W6767302851"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2075445622"],"abstract_inverted_index":{"Image":[0],"reconstruction":[1,8,12,68],"using":[2],"deep":[3,31,66],"learning":[4],"algorithms":[5,69],"offers":[6,140,148],"improved":[7],"quality":[9],"and":[10,18,23,73,86],"lower":[11],"time":[13],"than":[14],"classical":[15,84],"compressed":[16],"sensing":[17],"model-based":[19],"algorithms.":[20],"Unfortunately,":[21],"clean":[22],"fully":[24,71],"sampled":[25,72,96],"ground-truth":[26],"data":[27],"to":[28,64,89,119,144,171,193],"train":[29,65],"the":[30,40,43,52,80,83,90,93,108,111,116,121,135,153,160,172,181,187],"networks":[32,161],"is":[33,79,130,190],"often":[34],"unavailable":[35],"in":[36,180],"several":[37],"applications,":[38],"restricting":[39],"applicability":[41],"of":[42,82,110,183],"above":[44],"methods.":[45],"We":[46,106,125],"introduce":[47],"a":[48,104,141],"novel":[49],"metric":[50],"termed":[51],"ENsemble":[53],"Stein's":[54],"Unbiased":[55],"Risk":[56],"Estimate":[57],"(ENSURE)":[58],"framework,":[59],"which":[60,139,146],"can":[61,167],"be":[62],"used":[63],"image":[67,185],"without":[70],"noise-free":[74],"images.":[75],"The":[76],"proposed":[77],"framework":[78,179,189],"generalization":[81],"SURE":[85],"GSURE":[87,112],"formulation":[88],"setting":[91],"where":[92],"images":[94],"are":[95],"by":[97],"different":[98],"measurement":[99],"operators,":[100],"chosen":[101],"randomly":[102],"from":[103],"set.":[105],"evaluate":[107],"expectation":[109],"loss":[113,123,129,165],"functions":[114],"over":[115],"sampling":[117],"patterns":[118],"obtain":[120],"ENSURE":[122,188],"function.":[124],"show":[126,158],"that":[127,159],"this":[128,164,178],"an":[131,149],"unbiased":[132,150],"estimate":[133,151],"for":[134,152],"true":[136],"mean-square":[137],"error,":[138],"better":[142],"alternative":[143],"GSURE,":[145],"only":[147],"projected":[154],"error.":[155],"Our":[156],"experiments":[157],"trained":[162],"with":[163],"function":[166],"offer":[168],"reconstructions":[169],"comparable":[170],"supervised":[173],"setting.":[174],"While":[175],"we":[176],"demonstrate":[177],"context":[182],"MR":[184],"recovery,":[186],"generally":[191],"applicable":[192],"arbitrary":[194],"inverse":[195],"problems.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}