{"id":"https://openalex.org/W3176466780","doi":"https://doi.org/10.1109/tmi.2022.3167808","title":"ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis","display_name":"ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis","publication_year":2022,"publication_date":"2022-04-18","ids":{"openalex":"https://openalex.org/W3176466780","doi":"https://doi.org/10.1109/tmi.2022.3167808","mag":"3176466780","pmid":"https://pubmed.ncbi.nlm.nih.gov/35436184"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3167808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3167808","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.16031","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081344849","display_name":"Onat Dalmaz","orcid":"https://orcid.org/0000-0001-7978-5311"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Onat Dalmaz","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-7978-5311","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076735410","display_name":"Mahmut Yurt","orcid":"https://orcid.org/0000-0003-3280-4217"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mahmut Yurt","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032375235","display_name":"Tolga \u00c7ukur","orcid":"https://orcid.org/0000-0002-2296-851X"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tolga Cukur","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Neuroscience Program, Sabuncu Brain Research Center, and the National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-2296-851X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Neuroscience Program, Sabuncu Brain Research Center, and the National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168864056"],"apc_list":null,"apc_paid":null,"fwci":39.449,"has_fulltext":false,"cited_by_count":548,"citation_normalized_percentile":{"value":0.99908571,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"41","issue":"10","first_page":"2598","last_page":"2614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/computer-vision","display_name":"Computer vision","score":0.708301842212677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6535327434539795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.591079592704773},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.46397385001182556},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.463102787733078},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.4580484926700592},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4296915531158447},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4247405230998993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30894777178764343},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15196460485458374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08652955293655396},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07718345522880554},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07529255747795105}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.708301842212677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6535327434539795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.591079592704773},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.46397385001182556},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.463102787733078},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.4580484926700592},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4296915531158447},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4247405230998993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30894777178764343},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15196460485458374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08652955293655396},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07718345522880554},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07529255747795105}],"mesh":[{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","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":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, 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":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2022.3167808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3167808","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:35436184","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35436184","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2106.16031","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.16031","pdf_url":"https://arxiv.org/pdf/2106.16031","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/111357","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/111357","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.16031","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.16031","pdf_url":"https://arxiv.org/pdf/2106.16031","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322628","display_name":"T\u00fcrkiye Bilimler Akademisi","ror":"https://ror.org/00aqt9352"},{"id":"https://openalex.org/F4320325520","display_name":"Bilim Akademisi","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":136,"referenced_works":["https://openalex.org/W66427752","https://openalex.org/W89893565","https://openalex.org/W146667522","https://openalex.org/W196933601","https://openalex.org/W1502698477","https://openalex.org/W1605218991","https://openalex.org/W1641498739","https://openalex.org/W1710476689","https://openalex.org/W1882516042","https://openalex.org/W2002011878","https://openalex.org/W2043626403","https://openalex.org/W2046933782","https://openalex.org/W2067018983","https://openalex.org/W2104876002","https://openalex.org/W2124776405","https://openalex.org/W2125389028","https://openalex.org/W2128480089","https://openalex.org/W2133665775","https://openalex.org/W2148726987","https://openalex.org/W2194775991","https://openalex.org/W2208340121","https://openalex.org/W2208819768","https://openalex.org/W2230773113","https://openalex.org/W2328365748","https://openalex.org/W2331918145","https://openalex.org/W2397287600","https://openalex.org/W2405268213","https://openalex.org/W2461164258","https://openalex.org/W2517395172","https://openalex.org/W2521443754","https://openalex.org/W2522924304","https://openalex.org/W2523213734","https://openalex.org/W2523468284","https://openalex.org/W2592929672","https://openalex.org/W2594313306","https://openalex.org/W2607711656","https://openalex.org/W2612585477","https://openalex.org/W2745006834","https://openalex.org/W2751069891","https://openalex.org/W2751812122","https://openalex.org/W2753053025","https://openalex.org/W2759965110","https://openalex.org/W2767044624","https://openalex.org/W2773119425","https://openalex.org/W2775288145","https://openalex.org/W2782686167","https://openalex.org/W2789713147","https://openalex.org/W2794022343","https://openalex.org/W2798122215","https://openalex.org/W2802508689","https://openalex.org/W2804078698","https://openalex.org/W2807246925","https://openalex.org/W2807888536","https://openalex.org/W2889779108","https://openalex.org/W2890139949","https://openalex.org/W2890371642","https://openalex.org/W2900298334","https://openalex.org/W2914057844","https://openalex.org/W2917568709","https://openalex.org/W2921449040","https://openalex.org/W2948272061","https://openalex.org/W2949558375","https://openalex.org/W2957024036","https://openalex.org/W2962784654","https://openalex.org/W2962793481","https://openalex.org/W2962891897","https://openalex.org/W2962932373","https://openalex.org/W2963073614","https://openalex.org/W2963091558","https://openalex.org/W2963105382","https://openalex.org/W2963403868","https://openalex.org/W2963768110","https://openalex.org/W2963882942","https://openalex.org/W2963981733","https://openalex.org/W2964121744","https://openalex.org/W2971470434","https://openalex.org/W2978111064","https://openalex.org/W2979387929","https://openalex.org/W2979522016","https://openalex.org/W2981126002","https://openalex.org/W2984306354","https://openalex.org/W3002137088","https://openalex.org/W3007486523","https://openalex.org/W3013034453","https://openalex.org/W3013884416","https://openalex.org/W3015340265","https://openalex.org/W3018177167","https://openalex.org/W3034864980","https://openalex.org/W3035422918","https://openalex.org/W3035647610","https://openalex.org/W3048808444","https://openalex.org/W3094502228","https://openalex.org/W3096126074","https://openalex.org/W3096358115","https://openalex.org/W3099535809","https://openalex.org/W3101123465","https://openalex.org/W3101621846","https://openalex.org/W3105747145","https://openalex.org/W3108244925","https://openalex.org/W3127329503","https://openalex.org/W3127751679","https://openalex.org/W3132541979","https://openalex.org/W3134689216","https://openalex.org/W3135451226","https://openalex.org/W3152550266","https://openalex.org/W3154672809","https://openalex.org/W3158566850","https://openalex.org/W3163813349","https://openalex.org/W3164513001","https://openalex.org/W3188404242","https://openalex.org/W3194591991","https://openalex.org/W3200891683","https://openalex.org/W3203971980","https://openalex.org/W3204255739","https://openalex.org/W3204700807","https://openalex.org/W3206815816","https://openalex.org/W4226133625","https://openalex.org/W4287203292","https://openalex.org/W4295004744","https://openalex.org/W4299412574","https://openalex.org/W4323520891","https://openalex.org/W6631190155","https://openalex.org/W6637568146","https://openalex.org/W6678815747","https://openalex.org/W6739901393","https://openalex.org/W6746775625","https://openalex.org/W6750469568","https://openalex.org/W6751886274","https://openalex.org/W6752378368","https://openalex.org/W6765779288","https://openalex.org/W6782529005","https://openalex.org/W6790275670","https://openalex.org/W6794559225","https://openalex.org/W6795166983","https://openalex.org/W6795905486","https://openalex.org/W6795999542"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2471562626","https://openalex.org/W2461863667","https://openalex.org/W2295804706","https://openalex.org/W3168515805"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1,47,72],"models":[2,139],"with":[3,29,63],"convolutional":[4,91],"neural":[5],"network":[6],"(CNN)":[7],"backbones":[8],"have":[9],"recently":[10],"been":[11],"established":[12],"as":[13],"state-of-the-art":[14],"in":[15,97,102,153,173],"numerous":[16],"medical":[17,50],"image":[18,51],"synthesis":[19,138],"tasks.":[20],"However,":[21],"CNNs":[22],"are":[23,147],"designed":[24],"to":[25,122,131,135],"perform":[26],"local":[27],"processing":[28],"compact":[30],"filters,":[31],"and":[32,69,92,156,170,178],"this":[33],"inductive":[34],"bias":[35],"compromises":[36],"learning":[37],"of":[38,59,66,71,165,175],"contextual":[39,57],"features.":[40],"Here,":[41],"we":[42],"propose":[43],"a":[44,77,106],"novel":[45,81],"generative":[46],"approach":[48],"for":[49,140,149],"synthesis,":[52],"ResViT,":[53],"that":[54,87],"leverages":[55],"the":[56,64,133],"sensitivity":[58],"vision":[60],"transformers":[61],"along":[62],"precision":[65],"convolution":[67],"operators":[68],"realism":[70],"learning.":[73],"ResViT's":[74],"generator":[75],"employs":[76],"central":[78],"bottleneck":[79],"comprising":[80],"aggregated":[82],"residual":[83,90],"transformer":[84,93],"(ART)":[85],"blocks":[86,99,121],"synergistically":[88],"combine":[89],"modules.":[94],"Residual":[95],"connections":[96],"ART":[98,120],"promote":[100],"diversity":[101],"captured":[103],"representations,":[104],"while":[105],"channel":[107],"compression":[108],"module":[109],"distills":[110],"task-relevant":[111],"information.":[112],"A":[113,126],"weight":[114],"sharing":[115],"strategy":[116],"is":[117,129],"introduced":[118,130],"among":[119],"mitigate":[123],"computational":[124],"burden.":[125],"unified":[127],"implementation":[128],"avoid":[132],"need":[134],"rebuild":[136],"separate":[137],"varying":[141],"source-target":[142],"modality":[143],"configurations.":[144],"Comprehensive":[145],"demonstrations":[146],"performed":[148],"synthesizing":[150],"missing":[151],"sequences":[152],"multi-contrast":[154],"MRI,":[155],"CT":[157],"images":[158],"from":[159],"MRI.":[160],"Our":[161],"results":[162],"indicate":[163],"superiority":[164],"ResViT":[166],"against":[167],"competing":[168],"CNN-":[169],"transformer-based":[171],"methods":[172],"terms":[174],"qualitative":[176],"observations":[177],"quantitative":[179],"metrics.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":60},{"year":2025,"cited_by_count":178},{"year":2024,"cited_by_count":162},{"year":2023,"cited_by_count":100},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
