{"id":"https://openalex.org/W2962722483","doi":"https://doi.org/10.1117/12.2293406","title":"Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks","display_name":"Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks","publication_year":2018,"publication_date":"2018-03-02","ids":{"openalex":"https://openalex.org/W2962722483","doi":"https://doi.org/10.1117/12.2293406","mag":"2962722483","pmid":"https://pubmed.ncbi.nlm.nih.gov/29887666"},"language":"en","primary_location":{"id":"doi:10.1117/12.2293406","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Processing","raw_type":"proceedings-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/A5067191302","display_name":"Yuankai Huo","orcid":"https://orcid.org/0000-0002-2096-8065"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuankai Huo","raw_affiliation_strings":["Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004320806","display_name":"Zhoubing Xu","orcid":"https://orcid.org/0000-0002-8777-0977"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhoubing Xu","raw_affiliation_strings":["Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048972725","display_name":"Shunxing Bao","orcid":"https://orcid.org/0000-0001-6376-4292"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shunxing Bao","raw_affiliation_strings":["Computer Science, Vanderbilt University, Nashville, TN, USA 37235"],"affiliations":[{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077742771","display_name":"Camilo Bermudez","orcid":"https://orcid.org/0000-0002-9461-5094"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Camilo Bermudez","raw_affiliation_strings":["Biomedical Engineering, Vanderbilt University, Nashville, TN, USA 37235","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":[]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060185946","display_name":"Andrew J. Plassard","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew J. Plassard","raw_affiliation_strings":["Computer Science, Vanderbilt University, Nashville, TN, USA 37235","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064349694","display_name":"Yuang Yao","orcid":"https://orcid.org/0009-0002-4686-5344"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuang Yao","raw_affiliation_strings":["Computer Science, Vanderbilt University, Nashville, TN, USA 37235","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390380","display_name":"Jiaqi Liu","orcid":"https://orcid.org/0000-0003-2958-9309"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaqi Liu","raw_affiliation_strings":["Computer Science, Vanderbilt University, Nashville, TN, USA 37235","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109421874","display_name":"Albert Assad","orcid":null},"institutions":[{"id":"https://openalex.org/I924451375","display_name":"Incyte (United States)","ror":"https://ror.org/00cvzzg84","country_code":"US","type":"company","lineage":["https://openalex.org/I924451375"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Albert Assad","raw_affiliation_strings":["Incyte Corporation, Wilmington, DE, USA 19803","Incyte Corp. (United States)"],"affiliations":[{"raw_affiliation_string":"Incyte Corporation, Wilmington, DE, USA 19803","institution_ids":["https://openalex.org/I924451375"]},{"raw_affiliation_string":"Incyte Corp. (United States)","institution_ids":["https://openalex.org/I924451375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065429893","display_name":"Richard G. Abramson","orcid":"https://orcid.org/0000-0002-1200-0281"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard G. Abramson","raw_affiliation_strings":["Radiology and Radiological Science, Vanderbilt University, Nashville, TN, USA 37235","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Radiology and Radiological Science, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":[]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075735203","display_name":"Bennett A. Landman","orcid":"https://orcid.org/0000-0001-5733-2127"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bennett A. Landman","raw_affiliation_strings":["Biomedical Engineering, Vanderbilt University, Nashville, TN, USA 37235","Computer Science, Vanderbilt University, Nashville, TN, USA 37235","Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235","Radiology and Radiological Science, Vanderbilt University, Nashville, TN, USA 37235","Vanderbilt Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":[]},{"raw_affiliation_string":"Computer Science, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Radiology and Radiological Science, Vanderbilt University, Nashville, TN, USA 37235","institution_ids":[]},{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5067191302"],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":3.9923,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.94437423,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10574","issue":null,"first_page":"8","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9693999886512756,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7865090370178223},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7227023243904114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6841828227043152},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.6726495027542114},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6466825008392334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6205928921699524},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5425527691841125},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.4956706762313843},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45069533586502075},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.42284858226776123},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4206133186817169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39568158984184265},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2054823637008667},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14635926485061646}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7865090370178223},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7227023243904114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6841828227043152},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.6726495027542114},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6466825008392334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6205928921699524},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5425527691841125},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4956706762313843},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45069533586502075},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.42284858226776123},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4206133186817169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39568158984184265},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2054823637008667},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14635926485061646},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2293406","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2293406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Processing","raw_type":"proceedings-article"},{"id":"pmid:29887666","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29887666","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":"Proceedings of SPIE--the International Society for Optical Engineering","raw_type":null},{"id":"pmh:oai:europepmc.org:4946892","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5992918","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309151","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320309599","display_name":"Vanderbilt Institute for Clinical and Translational Research","ror":"https://ror.org/02vm5rt34"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W29951291","https://openalex.org/W59087903","https://openalex.org/W1522301498","https://openalex.org/W1680164276","https://openalex.org/W1884695109","https://openalex.org/W1901129140","https://openalex.org/W1905695250","https://openalex.org/W1969229669","https://openalex.org/W2008176042","https://openalex.org/W2052788412","https://openalex.org/W2068688088","https://openalex.org/W2081439668","https://openalex.org/W2108598243","https://openalex.org/W2127567384","https://openalex.org/W2154105292","https://openalex.org/W2194775991","https://openalex.org/W2550380503","https://openalex.org/W2554423077","https://openalex.org/W2591648046","https://openalex.org/W2594127790","https://openalex.org/W2598666589","https://openalex.org/W2766069452","https://openalex.org/W2963073614","https://openalex.org/W2963409068","https://openalex.org/W4247431264","https://openalex.org/W6631190155","https://openalex.org/W6676297131","https://openalex.org/W6729856380","https://openalex.org/W6729966448","https://openalex.org/W6745609030"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2964074194","https://openalex.org/W2057775761","https://openalex.org/W2800597160"],"abstract_inverted_index":{"Spleen":[0],"volume":[1],"estimation":[2],"using":[3,171],"automated":[4],"image":[5],"segmentation":[6,31],"technique":[7],"may":[8,53],"be":[9],"used":[10,108,122,146],"to":[11,78,112,123,147],"detect":[12],"splenomegaly":[13,144],"(abnormally":[14],"enlarged":[15],"spleen)":[16],"on":[17,50,91,173],"Magnetic":[18],"Resonance":[19],"Imaging":[20],"(MRI)":[21],"scans.":[22],"In":[23,68],"recent":[24],"years,":[25],"Deep":[26],"Convolutional":[27,104],"Neural":[28],"Networks":[29],"(DCNN)":[30],"methods":[32],"have":[33],"demonstrated":[34,156],"advantages":[35],"for":[36],"abdominal":[37],"organ":[38],"segmentation.":[39],"However,":[40],"variations":[41,81],"in":[42,55],"both":[43],"size":[44],"and":[45,59,138,149,164],"shape":[46],"of":[47,94,129,162,169,178],"the":[48,73,92,102,110,117,151],"spleen":[49],"MRI":[51,133,176],"images":[52],"result":[54],"large":[56,85],"false":[57,60,114,125],"positive":[58],"negative":[61],"labeling":[62],"when":[63,82],"deploying":[64],"DCNN":[65],"based":[66,90],"methods.":[67],"this":[69],"paper,":[70],"we":[71],"propose":[72],"Splenomegaly":[74],"Segmentation":[75],"Network":[76,105],"(SSNet)":[77],"address":[79],"spatial":[80],"segmenting":[83],"extraordinarily":[84],"spleens.":[86],"SSNet":[87,172],"was":[88,107,121],"designed":[89],"framework":[93],"image-to-image":[95],"conditional":[96],"generative":[97],"adversarial":[98],"networks":[99],"(cGAN).":[100],"Specifically,":[101],"Global":[103],"(GCN)":[106],"as":[109],"generator":[111],"reduce":[113],"negatives,":[115],"while":[116],"Markovian":[118],"discriminator":[119],"(PatchGAN)":[120],"alleviate":[124],"positives.":[126],"A":[127],"cohort":[128],"clinically":[130],"acquired":[131],"3D":[132],"scans":[134],"(both":[135],"T1":[136],"weighted":[137],"T2":[139],"weighted)":[140],"from":[141],"patients":[142,179],"with":[143,180],"were":[145],"train":[148],"test":[150],"networks.":[152],"The":[153],"experimental":[154],"results":[155],"that":[157],"a":[158,165],"mean":[159],"Dice":[160,167],"coefficient":[161,168],"0.9260":[163],"median":[166],"0.9262":[170],"independently":[174],"tested":[175],"volumes":[177],"splenomegaly.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":5}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}