{"id":"https://openalex.org/W4400337273","doi":"https://doi.org/10.1016/j.media.2024.103263","title":"Guided image generation for improved surgical image segmentation","display_name":"Guided image generation for improved surgical image segmentation","publication_year":2024,"publication_date":"2024-07-04","ids":{"openalex":"https://openalex.org/W4400337273","doi":"https://doi.org/10.1016/j.media.2024.103263","pmid":"https://pubmed.ncbi.nlm.nih.gov/39013205"},"language":"en","primary_location":{"id":"doi:10.1016/j.media.2024.103263","doi":"https://doi.org/10.1016/j.media.2024.103263","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2024.103263","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-1","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.media.2024.103263","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003589624","display_name":"Emanuele Colleoni","orcid":"https://orcid.org/0000-0003-4614-5742","observed_orcids":["https://orcid.org/0000-0003-4614-5742"]},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]},{"id":"https://openalex.org/I4210122016","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I1299528221","https://openalex.org/I4210087105","https://openalex.org/I4210122016","https://openalex.org/I45129253","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Emanuele Colleoni","raw_affiliation_strings":["Medtronic Digital Surgery, 230 City Rd, EC1V 2QY, London, United Kingdom; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom. Electronic address: collee3@medtronic.com","Medtronic Digital Surgery, 230 City Rd, EC1V 2QY, London, United Kingdom","Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-4614-5742","affiliations":[{"raw_affiliation_string":"Medtronic Digital Surgery, 230 City Rd, EC1V 2QY, London, United Kingdom; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom. Electronic address: collee3@medtronic.com","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]},{"raw_affiliation_string":"Medtronic Digital Surgery, 230 City Rd, EC1V 2QY, London, United Kingdom","institution_ids":["https://openalex.org/I124357947"]},{"raw_affiliation_string":"Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069643347","display_name":"Ricardo S\u00e1nchez-Matilla","orcid":"https://orcid.org/0000-0003-2330-0973","observed_orcids":["https://orcid.org/0000-0003-2330-0973"]},"institutions":[{"id":"https://openalex.org/I4210122016","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I1299528221","https://openalex.org/I4210087105","https://openalex.org/I4210122016","https://openalex.org/I45129253","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ricardo Sanchez Matilla","raw_affiliation_strings":["Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032823221","display_name":"Imanol Luengo","orcid":"https://orcid.org/0000-0001-6573-322X","observed_orcids":["https://orcid.org/0000-0001-6573-322X"]},"institutions":[{"id":"https://openalex.org/I4210122016","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I1299528221","https://openalex.org/I4210087105","https://openalex.org/I4210122016","https://openalex.org/I45129253","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Imanol Luengo","raw_affiliation_strings":["Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077630267","display_name":"Danail V. Stoyanov","orcid":"https://orcid.org/0000-0002-0980-3227","observed_orcids":["https://orcid.org/0000-0002-0980-3227"]},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]},{"id":"https://openalex.org/I4210122016","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I1299528221","https://openalex.org/I4210087105","https://openalex.org/I4210122016","https://openalex.org/I45129253","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danail Stoyanov","raw_affiliation_strings":["Medtronic Digital Surgery, 230 City Rd, EC1V 2QY, London, United Kingdom; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom","Medtronic Digital Surgery, 230 City Rd, EC1V 2QY, London, United Kingdom","Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medtronic Digital Surgery, 230 City Rd, EC1V 2QY, London, United Kingdom; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]},{"raw_affiliation_string":"Medtronic Digital Surgery, 230 City Rd, EC1V 2QY, London, United Kingdom","institution_ids":["https://openalex.org/I124357947"]},{"raw_affiliation_string":"Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London (UCL), 43-45 Foley St, W1W 7TY, London, United Kingdom","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003589624"],"corresponding_institution_ids":["https://openalex.org/I124357947","https://openalex.org/I4210122016","https://openalex.org/I45129253"],"apc_list":{"value":3970,"currency":"USD","value_usd":3970},"apc_paid":{"value":3970,"currency":"USD","value_usd":3970},"fwci":1.4927,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82048376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"97","issue":null,"first_page":"103263","last_page":"103263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5893999934196472,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.5893999934196472,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.27079999446868896,"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"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.056699998676776886,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/synthetic-image-generation","display_name":"synthetic image generation","score":0.7260000109672546},{"id":"https://openalex.org/keywords/cholecystectomy","display_name":"cholecystectomy","score":0.8320000171661377},{"id":"https://openalex.org/keywords/partial-nephrectomy","display_name":"partial nephrectomy","score":0.9980000257492065},{"id":"https://openalex.org/keywords/radical-prostatectomy","display_name":"radical prostatectomy","score":1.0},{"id":"https://openalex.org/keywords/underrepresented-classes","display_name":"underrepresented classes","score":0.7699999809265137},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.6349999904632568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587891221046448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6892420649528503},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6639343500137329},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5157709121704102},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.514339804649353},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4614078104496002},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44009605050086975},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.434476763010025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3447408974170685}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025321","descriptor_name":"Surgery, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1016/j.media.2024.103263","doi":"https://doi.org/10.1016/j.media.2024.103263","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2024.103263","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-1","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},{"id":"pmid:39013205","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39013205","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":"Medical image analysis","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1016/j.media.2024.103263","doi":"https://doi.org/10.1016/j.media.2024.103263","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2024.103263","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-1","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8048999905586243}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2006525209","https://openalex.org/W2412782625","https://openalex.org/W2547734011","https://openalex.org/W2552465644","https://openalex.org/W2603777577","https://openalex.org/W2753738274","https://openalex.org/W2787579267","https://openalex.org/W2904367110","https://openalex.org/W2936654725","https://openalex.org/W2939157633","https://openalex.org/W2950496281","https://openalex.org/W2955927142","https://openalex.org/W2962785568","https://openalex.org/W2962974533","https://openalex.org/W2963800363","https://openalex.org/W2963981733","https://openalex.org/W2985516053","https://openalex.org/W2995327724","https://openalex.org/W3000214625","https://openalex.org/W3014641072","https://openalex.org/W3046411017","https://openalex.org/W3096831136","https://openalex.org/W3101230421","https://openalex.org/W3104876213","https://openalex.org/W3105507192","https://openalex.org/W3106432280","https://openalex.org/W3116917169","https://openalex.org/W3122887982","https://openalex.org/W3138516171","https://openalex.org/W3140817806","https://openalex.org/W3162926177","https://openalex.org/W3175737276","https://openalex.org/W3204840685","https://openalex.org/W3208934527","https://openalex.org/W4200559159","https://openalex.org/W4224306633","https://openalex.org/W4225862877","https://openalex.org/W4226245046","https://openalex.org/W4281718656","https://openalex.org/W4282940042","https://openalex.org/W4295939613","https://openalex.org/W4296193306","https://openalex.org/W4296960511","https://openalex.org/W4312933868","https://openalex.org/W4385454578","https://openalex.org/W7151077771"],"related_works":["https://openalex.org/W4282940042","https://openalex.org/W3192675092","https://openalex.org/W4409263023","https://openalex.org/W7082738620","https://openalex.org/W4407309199","https://openalex.org/W3175737276","https://openalex.org/W3106432280","https://openalex.org/W4401821760","https://openalex.org/W4296193698","https://openalex.org/W7160901085"],"abstract_inverted_index":{"The":[0],"lack":[1,76],"of":[2,13,57,77,128,195,209,283,296],"large":[3,78,93,219],"datasets":[4,79,221],"and":[5,15,22,42,80,130,173,185],"high-quality":[6],"annotated":[7],"data":[8],"often":[9,150],"limits":[10],"the":[11,20,26,69,75,87,92,126,142,193,207,241,261,275,281,289,293],"development":[12],"accurate":[14],"robust":[16],"machine-learning":[17,211],"models":[18,31,61,123,149],"within":[19],"medical":[21],"surgical":[23,70,88,113,175,180],"domains.":[24],"In":[25,188],"machine":[27],"learning":[28],"community,":[29],"generative":[30,60,101,122,148],"have":[32,62],"recently":[33],"demonstrated":[34],"that":[35,46,103,134,165,234,274,285],"it":[36],"is":[37,167,278],"possible":[38],"to":[39,74,82,120,125,141,169,205,217,226,247,267,301],"produce":[40],"novel":[41,100],"diverse":[43,174],"synthetic":[44,105,196,220,237],"images":[45,106,114,176,197,238],"closely":[47],"resemble":[48],"reality":[49],"while":[50,138],"controlling":[51],"their":[52],"content":[53],"with":[54,115,199,245],"various":[55],"types":[56],"annotations.":[58],"However,":[59],"not":[63],"been":[64],"yet":[65],"fully":[66],"explored":[67],"in":[68,86,177,280,288],"domain,":[71],"partially":[72],"due":[73,81],"specific":[83,297],"challenges":[84],"present":[85],"domain":[89],"such":[90,160],"as":[91,161],"anatomical":[94],"diversity.":[95],"We":[96],"propose":[97],"Surgery-GAN,":[98],"a":[99],"model":[102],"produces":[104,112],"from":[107],"segmentation":[108,144,230,243,263],"maps.":[109],"Our":[110],"architecture":[111],"improved":[116],"quality":[117,137],"when":[118,254],"compared":[119],"early":[121],"thanks":[124],"combination":[127],"channel-":[129],"pixel-level":[131],"normalization":[132],"layers":[133],"boost":[135,260,295],"image":[136],"granting":[139],"adherence":[140],"input":[143],"map.":[145],"While":[146],"state-of-the-art":[147],"generate":[151,170,218],"overfitted":[152],"images,":[153],"lacking":[154],"diversity,":[155],"or":[156],"containing":[157],"unrealistic":[158],"artefacts":[159],"cartooning;":[162],"experiments":[163],"demonstrate":[164,233],"Surgery-GAN":[166,216],"able":[168],"novel,":[171],"realistic,":[172],"three":[178],"different":[179,229],"datasets:":[181],"cholecystectomy,":[182],"partial":[183],"nephrectomy,":[184],"radical":[186,256],"prostatectomy.":[187],"addition,":[189],"we":[190,214,223,258],"investigate":[191],"whether":[192],"use":[194,215,225],"together":[198],"real":[200,250],"ones":[201],"can":[202,259],"be":[203],"used":[204],"improve":[206],"performance":[208,244,264,276,294],"other":[210],"models.":[212,231],"Specifically,":[213],"which":[222],"then":[224],"train":[227],"five":[228],"Results":[232],"using":[235,249],"our":[236],"always":[239],"improves":[240],"mean":[242,262],"respect":[246],"only":[248],"images.":[251],"For":[252],"example,":[253],"considering":[255],"prostatectomy,":[257],"by":[265],"up":[266,300],"5.43%.":[268],"More":[269],"interestingly,":[270],"experimental":[271],"results":[272],"indicate":[273],"improvement":[277],"larger":[279],"set":[282],"classes":[284,298],"are":[286],"under-represented":[287],"training":[290],"sets,":[291],"where":[292],"reaches":[299],"61.6%.":[302]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":5}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-07-06T00:00:00"}