{"id":"https://openalex.org/W4283828743","doi":"https://doi.org/10.1109/jbhi.2022.3188710","title":"Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation","display_name":"Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation","publication_year":2022,"publication_date":"2022-07-05","ids":{"openalex":"https://openalex.org/W4283828743","doi":"https://doi.org/10.1109/jbhi.2022.3188710","pmid":"https://pubmed.ncbi.nlm.nih.gov/35788455"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3188710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3188710","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5100451420","display_name":"Wentao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wentao Liu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068323815","display_name":"Huihua Yang","orcid":"https://orcid.org/0000-0001-6334-4044"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihua Yang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102804961","display_name":"Tong Tian","orcid":"https://orcid.org/0000-0001-7626-932X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Tian","raw_affiliation_strings":["State Key Laboratory of Structural Analysis for Industrial Equipment, School of Aeronautics and Astronautics, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Structural Analysis for Industrial Equipment, School of Aeronautics and Astronautics, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102965045","display_name":"Zhiwei Cao","orcid":"https://orcid.org/0000-0002-8409-8089"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Cao","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028311940","display_name":"Xipeng Pan","orcid":"https://orcid.org/0000-0003-2581-0520"},"institutions":[{"id":"https://openalex.org/I4210145693","display_name":"Guangdong Academy of Medical Sciences","ror":"https://ror.org/0432p8t34","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145693"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xipeng Pan","raw_affiliation_strings":["Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China","School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I4210145693"]},{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101650919","display_name":"Weijin Xu","orcid":"https://orcid.org/0000-0001-8371-8330"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijin Xu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574526","display_name":"Jin Yang","orcid":"https://orcid.org/0000-0002-9893-8798"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Jin","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008436444","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0001-8417-8428"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210087691","display_name":"Beijing Tian Tan Hospital","ror":"https://ror.org/003regz62","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210087691"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I4210087691","https://openalex.org/I183519381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100451420"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":27.5805,"has_fulltext":false,"cited_by_count":209,"citation_normalized_percentile":{"value":0.99899909,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":"9","first_page":"4623","last_page":"4634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","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/T11438","display_name":"Retinal Imaging and Analysis","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/T12599","display_name":"Retinal and Optic Conditions","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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":0.7788995504379272},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7520307302474976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6821593046188354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6676011085510254},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5648768544197083},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5320485830307007},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5018889904022217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4853474199771881},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.464219331741333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4346140921115875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21452313661575317},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11829543113708496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788995504379272},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7520307302474976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6821593046188354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6676011085510254},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5648768544197083},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5320485830307007},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5018889904022217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4853474199771881},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.464219331741333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4346140921115875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21452313661575317},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11829543113708496},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2022.3188710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3188710","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:35788455","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35788455","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8742766083","display_name":null,"funder_award_id":"62002082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2194775991","https://openalex.org/W2327793514","https://openalex.org/W2557406251","https://openalex.org/W2765321786","https://openalex.org/W2854201429","https://openalex.org/W2884436604","https://openalex.org/W2888358068","https://openalex.org/W2907750714","https://openalex.org/W2916798096","https://openalex.org/W2948525168","https://openalex.org/W2965655488","https://openalex.org/W2979865275","https://openalex.org/W2980185997","https://openalex.org/W2980269695","https://openalex.org/W2987039128","https://openalex.org/W2993649495","https://openalex.org/W2996290406","https://openalex.org/W2996594166","https://openalex.org/W3014641072","https://openalex.org/W3089633940","https://openalex.org/W3091119025","https://openalex.org/W3127634507","https://openalex.org/W3149079890","https://openalex.org/W3163640608","https://openalex.org/W3169847394","https://openalex.org/W3204269019","https://openalex.org/W3204497690","https://openalex.org/W4206489121","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6728838668","https://openalex.org/W6743535365"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W3135697610","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W3209312100","https://openalex.org/W2890372105","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Vessel":[0],"segmentation":[1,13,25,44],"is":[2,183],"critical":[3],"for":[4,121],"disease":[5],"diagnosis":[6],"and":[7,54,62,136,138,143,160,171],"surgical":[8],"planning.":[9],"Recently,":[10],"the":[11,41,77,111,155,165],"vessel":[12,24,119,123,132,175],"method":[14,127],"based":[15],"on":[16,130,162],"deep":[17],"learning":[18],"has":[19],"achieved":[20],"outstanding":[21],"performance.":[22],"However,":[23],"remains":[26],"challenging":[27],"due":[28],"to":[29,88,101,116],"thin":[30],"vessels":[31],"with":[32,168],"low":[33],"contrast":[34],"that":[35,59,148,172],"easily":[36],"lose":[37],"spatial":[38],"information":[39],"in":[40],"traditional":[42],"U-shaped":[43],"network.":[45],"To":[46],"alleviate":[47],"this":[48],"problem,":[49],"we":[50,109],"propose":[51,110],"a":[52,65,103],"novel":[53],"straightforward":[55],"full-resolution":[56],"network":[57],"(FR-UNet)":[58],"expands":[60],"horizontally":[61],"vertically":[63],"through":[64],"multiresolution":[66,99],"convolution":[67],"interactive":[68],"mechanism":[69],"while":[70,177],"retaining":[71],"full":[72],"image":[73],"resolution.":[74],"In":[75],"FR-UNet,":[76],"feature":[78,83],"aggregation":[79],"module":[80],"integrates":[81],"multiscale":[82],"maps":[84],"from":[85],"adjacent":[86],"stages":[87],"supplement":[89],"high-level":[90],"contextual":[91],"information.":[92],"The":[93,125,145,181],"modified":[94],"residual":[95],"blocks":[96],"continuously":[97],"learn":[98],"representations":[100],"obtain":[102],"pixel-level":[104],"accuracy":[105],"prediction":[106],"map.":[107],"Moreover,":[108],"dual-threshold":[112],"iterative":[113],"algorithm":[114],"(DTI)":[115],"extract":[117],"weak":[118],"pixels":[120],"improving":[122,179],"connectivity.":[124],"proposed":[126],"was":[128],"evaluated":[129],"retinal":[131],"datasets":[133,141,167],"(DRIVE,":[134],"CHASE_DB1,":[135],"STARE)":[137],"coronary":[139],"angiography":[140],"(DCA1":[142],"CHUAC).":[144],"results":[146],"demonstrate":[147],"FR-UNet":[149],"outperforms":[150],"state-of-the-art":[151],"methods":[152],"by":[153],"achieving":[154],"highest":[156],"Sen,":[157],"AUC,":[158],"F1,":[159],"IOU":[161],"most":[163],"of":[164],"above-mentioned":[166],"fewer":[169],"parameters,":[170],"DTI":[173],"enhances":[174],"connectivity":[176],"greatly":[178],"sensitivity.":[180],"code":[182],"available":[184],"at:":[185],"https://github.com/lseventeen/FR-UNet.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":94},{"year":2024,"cited_by_count":63},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}