{"id":"https://openalex.org/W2125878029","doi":"https://doi.org/10.1109/tmi.2005.859208","title":"Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI","display_name":"Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI","publication_year":2005,"publication_date":"2005-12-01","ids":{"openalex":"https://openalex.org/W2125878029","doi":"https://doi.org/10.1109/tmi.2005.859208","mag":"2125878029","pmid":"https://pubmed.ncbi.nlm.nih.gov/16350920"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2005.859208","doi":"https://doi.org/10.1109/tmi.2005.859208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2005.859208","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,"listed_in":["ccf-b","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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"},"volume":null,"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/A5027642699","display_name":"Anant Madabhushi","orcid":"https://orcid.org/0000-0002-5741-0399","observed_orcids":["https://orcid.org/0000-0002-5741-0399"]},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Madabhushi","raw_affiliation_strings":["Rutgers, The State University of New Jersey, Department of Biomedical Engineering, 617 Bowser Road, Rm. 102, Piscataway, NJ 08854, USA. anantm@rci.rutgers.edu","Dept. of Biomed. Eng., State Univ. of New Jersey, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers, The State University of New Jersey, Department of Biomedical Engineering, 617 Bowser Road, Rm. 102, Piscataway, NJ 08854, USA. anantm@rci.rutgers.edu","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., State Univ. of New Jersey, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028140714","display_name":"Michael D. Feldman","orcid":"https://orcid.org/0000-0002-6661-4940","observed_orcids":["https://orcid.org/0000-0002-6661-4940"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.D. Feldman","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA","#N#               * University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"#N#               * University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064437234","display_name":"Dimitris Metaxas","orcid":"https://orcid.org/0000-0001-7142-7640","observed_orcids":["https://orcid.org/0000-0001-7142-7640"]},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.N. Metaxas","raw_affiliation_strings":["Department of Computer Science and Biomedical Engineering, Rutgers, State University of New Jersey, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Biomedical Engineering, Rutgers, State University of New Jersey, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061492886","display_name":"John E. Tomaszeweski","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Tomaszeweski","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA","#N#               * University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"#N#               * University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012584576","display_name":"Deborah J. Chute","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Chute","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, PA, USA","#N#               * University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"#N#               * University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":9.8418,"has_fulltext":false,"cited_by_count":184,"citation_normalized_percentile":{"value":0.98059416,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"24","issue":"12","first_page":"1611","last_page":"1625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.4357999861240387,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.4357999861240387,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.41019999980926514,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.10220000147819519,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prostate-adenocarcinoma","display_name":"prostate adenocarcinoma","score":0.9810000061988831},{"id":"https://openalex.org/keywords/computer-aided-detection","display_name":"computer-aided detection","score":0.9079999923706055},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"prostate cancer","score":0.6549999713897705},{"id":"https://openalex.org/keywords/high-resolution-mri","display_name":"high-resolution MRI","score":0.765999972820282},{"id":"https://openalex.org/keywords/bayesian-classifier","display_name":"Bayesian classifier","score":0.9390000104904175},{"id":"https://openalex.org/keywords/feature-combination","display_name":"feature combination","score":0.8069999814033508},{"id":"https://openalex.org/keywords/observer-variability","display_name":"observer variability","score":0.5699999928474426}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.7368860244750977},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6167381405830383},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.600821852684021},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5374913811683655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5031747221946716},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49534860253334045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46935683488845825},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4687521457672119},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.43980610370635986},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.4161053001880646},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.41430261731147766},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4000853896141052},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1796959638595581},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000230","descriptor_name":"Adenocarcinoma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","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":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, 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":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2005.859208","doi":"https://doi.org/10.1109/tmi.2005.859208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2005.859208","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,"listed_in":["ccf-b","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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:16350920","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/16350920","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,"listed_in":[],"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":"Clinical Trial"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9763000011444092,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W190701057","https://openalex.org/W195741252","https://openalex.org/W1534477342","https://openalex.org/W1570349756","https://openalex.org/W1597336311","https://openalex.org/W1619054726","https://openalex.org/W1698800632","https://openalex.org/W1791903561","https://openalex.org/W1920574048","https://openalex.org/W1972985500","https://openalex.org/W1978981734","https://openalex.org/W1980429329","https://openalex.org/W2004918136","https://openalex.org/W2013418965","https://openalex.org/W2016822389","https://openalex.org/W2023241724","https://openalex.org/W2030287849","https://openalex.org/W2031633891","https://openalex.org/W2044465660","https://openalex.org/W2048319198","https://openalex.org/W2049694710","https://openalex.org/W2053154970","https://openalex.org/W2059156796","https://openalex.org/W2059705382","https://openalex.org/W2067435460","https://openalex.org/W2077723658","https://openalex.org/W2084134149","https://openalex.org/W2092820391","https://openalex.org/W2096240951","https://openalex.org/W2104095591","https://openalex.org/W2105938115","https://openalex.org/W2112076978","https://openalex.org/W2113282793","https://openalex.org/W2124014596","https://openalex.org/W2127902699","https://openalex.org/W2132430476","https://openalex.org/W2134139970","https://openalex.org/W2146512659","https://openalex.org/W2151226854","https://openalex.org/W2152761983","https://openalex.org/W2154410899","https://openalex.org/W2154433919","https://openalex.org/W2155609868","https://openalex.org/W2157825442","https://openalex.org/W2167725992","https://openalex.org/W2171181782","https://openalex.org/W2172803778","https://openalex.org/W2335679869","https://openalex.org/W2973818247","https://openalex.org/W3016413756","https://openalex.org/W3017143921","https://openalex.org/W4242337922","https://openalex.org/W4255747608","https://openalex.org/W4256282279","https://openalex.org/W6635966724","https://openalex.org/W6682355565"],"related_works":["https://openalex.org/W2044999678","https://openalex.org/W4397024907","https://openalex.org/W2145046071","https://openalex.org/W2107030642","https://openalex.org/W1974394463","https://openalex.org/W2625791169","https://openalex.org/W2076498536","https://openalex.org/W2415587930","https://openalex.org/W4399624391","https://openalex.org/W2086279260"],"abstract_inverted_index":{"Prostatic":[0],"adenocarcinoma":[1,136],"is":[2,31,50],"the":[3,11,20,26,40,46,79,107,147,150,170,213,217,223,226,232,244,248,252,294,323,329,339,344,362,386],"most":[4],"commonly":[5],"occurring":[6],"cancer":[7,30,68],"among":[8],"men":[9],"in":[10,85,194,314,325,348,353,392],"United":[12],"States,":[13],"second":[14],"only":[15,21,51],"to":[16,24,39,61,71,96,100,292,372,388],"skin":[17],"cancer.":[18],"Currently,":[19],"definitive":[22],"method":[23],"ascertain":[25],"presence":[27],"of":[28,44,48,66,81,91,104,146,184,263,327,338,355],"prostatic":[29,135],"by":[32,211,238,241],"trans-rectal":[33],"ultrasound":[34],"(TRUS)":[35],"directed":[36],"biopsy.":[37],"Owing":[38],"poor":[41],"image":[42,180],"quality":[43],"ultrasound,":[45],"accuracy":[47,65,350],"TRUS":[49],"20%-25%.":[52],"High-resolution":[53],"magnetic":[54,142],"resonance":[55,143],"imaging":[56],"(MRI)":[57],"has":[58],"been":[59,77,155],"shown":[60],"have":[62,76,115,154],"a":[63,126,182,261],"higher":[64],"prostate":[67,87,92,274,394],"detection":[69,90,130],"compared":[70],"ultrasound.":[72],"Consequently,":[73],"several":[74,110,315],"researchers":[75],"exploring":[78],"use":[80],"high":[82],"resolution":[83],"MRI":[84,172,340],"performing":[86],"biopsies.":[88,395],"Visual":[89],"cancer,":[93],"however,":[94],"continues":[95],"be":[97,373],"difficult":[98],"owing":[99],"its":[101],"apparent":[102],"lack":[103],"shape,":[105],"and":[106,112,118,160,298,310,365],"fact":[108],"that":[109],"malignant":[111],"benign":[113],"structures":[114],"overlapping":[116],"intensity":[117],"texture":[119,165,296],"characteristics.":[120],"In":[121,342],"this":[122,195],"paper,":[123],"we":[124],"present":[125],"fully":[127],"automated":[128],"computer-aided":[129],"(CAD)":[131],"system":[132,259,319,356],"for":[133,157,186,222,284,376],"detecting":[134],"from":[137,169,269,278,335],"4":[138],"Tesla":[139],"ex":[140],"vivo":[141,393],"(MR)":[144],"imagery":[145],"prostate.":[148],"After":[149],"acquired":[151],"MR":[152,233,245,267,273],"images":[153,192],"corrected":[156],"background":[158],"inhomogeneity":[159],"nonstandardness,":[161],"novel":[162],"three-dimensional":[163],"(3-D)":[164],"features":[166],"are":[167,197],"extracted":[168],"3-D":[171,272],"scene.":[173],"A":[174],"Bayesian":[175],"classifier":[176],"then":[177,198],"assigns":[178],"each":[179,187],"voxel":[181],"\"likelihood\"":[183,191],"malignancy":[185],"feature":[188,204,287,303],"independently.":[189],"The":[190,228],"generated":[193],"fashion":[196],"combined":[199],"using":[200],"an":[201,239],"optimally":[202],"weighted":[203],"combination":[205,288,304],"scheme.":[206],"Quantitative":[207],"evaluation":[208],"was":[209,290,358,370],"performed":[210,320],"comparing":[212],"CAD":[214,258,318,349,368],"results":[215],"with":[216,247,351],"manually":[218,237],"ascertained":[219],"ground":[220],"truth":[221],"tumor":[224,229],"on":[225,231,251,260,384],"MRI.":[227],"labels":[230],"slices":[234,246,268,277],"were":[235,282],"determined":[236,333],"expert":[240,330],"visually":[242],"registering":[243],"corresponding":[249,363],"regions":[250],"histology":[253],"slices.":[254],"We":[255],"evaluated":[256],"our":[257,317],"total":[262],"33":[264],"two-dimensional":[265],"(2-D)":[266],"five":[270],"different":[271,280,377],"studies.":[275],"Five":[276],"two":[279],"glands":[281],"used":[283,302],"training.":[285],"Our":[286],"scheme":[289],"found":[291,371],"outperform":[293],"individual":[295],"features,":[297],"also":[299],"other":[300],"popularly":[301],"methods,":[305],"including":[306],"AdaBoost,":[307],"ensemble":[308],"averaging,":[309],"majority":[311],"voting.":[312],"Further,":[313],"instances":[316],"better":[321],"than":[322,361],"experts":[324],"terms":[326],"accuracy,":[328],"segmentations":[331],"being":[332],"solely":[334],"visual":[336],"inspection":[337],"data.":[341],"addition,":[343],"intrasystem":[345],"variability":[346],"(changes":[347],"changes":[352],"values":[354],"parameters)":[357],"significantly":[359],"lower":[360],"intraobserver":[364],"interobserver":[366],"variability.":[367],"performance":[369],"very":[374],"similar":[375],"training":[378],"sets.":[379],"Future":[380],"work":[381],"will":[382],"focus":[383],"extending":[385],"methodology":[387],"guide":[389],"high-resolution":[390],"MRI-assisted":[391]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":17}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}