{"id":"https://openalex.org/W4368359325","doi":"https://doi.org/10.1109/tmi.2023.3273029","title":"Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint","display_name":"Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint","publication_year":2023,"publication_date":"2023-05-04","ids":{"openalex":"https://openalex.org/W4368359325","doi":"https://doi.org/10.1109/tmi.2023.3273029","pmid":"https://pubmed.ncbi.nlm.nih.gov/37141060"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3273029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3273029","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":["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/A5034379660","display_name":"Caiwen Jiang","orcid":"https://orcid.org/0000-0001-7162-9517"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiwen Jiang","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7162-9517","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005676360","display_name":"Yongsheng Pan","orcid":"https://orcid.org/0000-0002-8067-1132"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Pan","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8067-1132","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602191","display_name":"Zhiming Cui","orcid":"https://orcid.org/0000-0002-3798-4504"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Cui","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3798-4504","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064564558","display_name":"Dong Nie","orcid":"https://orcid.org/0000-0003-0385-8988"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Nie","raw_affiliation_strings":["Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":"https://orcid.org/0000-0003-0385-8988","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]},{"id":"https://openalex.org/I4210157781","display_name":"Shanghai Clinical Research Center","ror":"https://ror.org/057tkkm33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210157781"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["School of Biomedical Engineering, ShanghaiTech University, Shanghai, China,","Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","Shanghai Clinical Research and Trial Center, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7934-5698","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China,","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]},{"raw_affiliation_string":"Shanghai Clinical Research and Trial Center, Shanghai, China","institution_ids":["https://openalex.org/I4210157781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.377,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95413988,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"42","issue":"10","first_page":"2974","last_page":"2987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.996399998664856,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9950000047683716,"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/normalization","display_name":"Normalization (sociology)","score":0.7056818008422852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6217739582061768},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.619601845741272},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6172797083854675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6054027080535889},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4748128652572632},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47260788083076477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4528083801269531},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4425254464149475},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.4419096112251282},{"id":"https://openalex.org/keywords/spatial-normalization","display_name":"Spatial normalization","score":0.41885823011398315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3435443043708801},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21821743249893188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19742253422737122},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.07739022374153137}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7056818008422852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6217739582061768},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.619601845741272},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6172797083854675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6054027080535889},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4748128652572632},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47260788083076477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4528083801269531},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4425254464149475},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.4419096112251282},{"id":"https://openalex.org/C116580362","wikidata":"https://www.wikidata.org/wiki/Q3878457","display_name":"Spatial normalization","level":3,"score":0.41885823011398315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3435443043708801},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21821743249893188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19742253422737122},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.07739022374153137},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019275","descriptor_name":"Radiopharmaceuticals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019275","descriptor_name":"Radiopharmaceuticals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019275","descriptor_name":"Radiopharmaceuticals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2023.3273029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3273029","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:37141060","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37141060","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1490757364","display_name":null,"funder_award_id":"BX2021333","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G200819149","display_name":null,"funder_award_id":"2021M703340","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2690246104","display_name":null,"funder_award_id":"62131015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5799702300","display_name":null,"funder_award_id":"21010502600","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1576677061","https://openalex.org/W1836465849","https://openalex.org/W1968736638","https://openalex.org/W1994784808","https://openalex.org/W2003884262","https://openalex.org/W2009301866","https://openalex.org/W2045112400","https://openalex.org/W2054591022","https://openalex.org/W2066283520","https://openalex.org/W2097073572","https://openalex.org/W2101186931","https://openalex.org/W2122394188","https://openalex.org/W2135535334","https://openalex.org/W2144035325","https://openalex.org/W2155574073","https://openalex.org/W2169943388","https://openalex.org/W2235069229","https://openalex.org/W2284198383","https://openalex.org/W2352595529","https://openalex.org/W2385563966","https://openalex.org/W2502312327","https://openalex.org/W2508457857","https://openalex.org/W2526511911","https://openalex.org/W2543859967","https://openalex.org/W2729145866","https://openalex.org/W2789588857","https://openalex.org/W2798538010","https://openalex.org/W2801585709","https://openalex.org/W2903356598","https://openalex.org/W2921948732","https://openalex.org/W2958646971","https://openalex.org/W2959949113","https://openalex.org/W2962793481","https://openalex.org/W2962974533","https://openalex.org/W2963480200","https://openalex.org/W2970280802","https://openalex.org/W2994885619","https://openalex.org/W3011296360","https://openalex.org/W3011546611","https://openalex.org/W3026410403","https://openalex.org/W3037333647","https://openalex.org/W3041500444","https://openalex.org/W3087009452","https://openalex.org/W3090480327","https://openalex.org/W3090960818","https://openalex.org/W3093565166","https://openalex.org/W3093872762","https://openalex.org/W3094213593","https://openalex.org/W3128293465","https://openalex.org/W3132541979","https://openalex.org/W3132902570","https://openalex.org/W3196971764","https://openalex.org/W3200891683","https://openalex.org/W3205522968","https://openalex.org/W3206815816","https://openalex.org/W4200341256","https://openalex.org/W4221140370","https://openalex.org/W4223918756","https://openalex.org/W4224996716","https://openalex.org/W4250482878","https://openalex.org/W4291238401","https://openalex.org/W4295308435","https://openalex.org/W4296434005","https://openalex.org/W4320013936","https://openalex.org/W6638667902","https://openalex.org/W6724804524","https://openalex.org/W6780226713","https://openalex.org/W6841369043","https://openalex.org/W6843417931"],"related_works":["https://openalex.org/W49919599","https://openalex.org/W2757389719","https://openalex.org/W4288284643","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402"],"abstract_inverted_index":{"Positron":[0],"Emission":[1],"Tomography":[2],"(PET)":[3],"is":[4,51],"an":[5],"important":[6],"nuclear":[7],"medical":[8],"imaging":[9,28,57],"technique,":[10],"and":[11,22,62,75,87,110,115,138,203],"has":[12],"been":[13],"widely":[14],"used":[15],"in":[16,53,152],"clinical":[17,67],"applications,":[18],"e.g.,":[19],"tumor":[20],"detection":[21],"brain":[23],"disease":[24],"diagnosis.":[25],"As":[26],"PET":[27,40,54,81,94,99,157,192],"could":[29,59],"put":[30],"patients":[31],"at":[32],"risk":[33],"of":[34,38,80,155,163,181],"radiation,":[35],"the":[36,56,72,107,111,145,171,179],"acquisition":[37],"high-quality":[39,92],"images":[41,96,183,193],"with":[42],"standard-dose":[43],"tracers":[44],"should":[45],"be":[46],"cautious.":[47],"However,":[48],"if":[49],"dose":[50,74],"reduced":[52],"acquisition,":[55],"quality":[58,79],"become":[60],"worse":[61],"thus":[63],"may":[64],"not":[65],"meet":[66],"requirement.":[68],"To":[69],"safely":[70],"reduce":[71],"tracer":[73],"also":[76],"maintain":[77],"high":[78],"imaging,":[82],"we":[83,118,131],"propose":[84,119],"a":[85,120,134,139],"novel":[86],"effective":[88],"approach":[89,198],"to":[90,103,143,159],"estimate":[91],"Standard-dose":[93],"(SPET)":[95],"from":[97,184],"Low-dose":[98],"(LPET)":[100],"images.":[101,186],"Specifically,":[102],"fully":[104],"utilize":[105],"both":[106],"rare":[108],"paired":[109],"abundant":[112],"unpaired":[113],"LPET":[114,185],"SPET":[116,182],"images,":[117],"semi-supervised":[121],"framework":[122],"for":[123],"network":[124],"training.":[125],"Meanwhile,":[126],"based":[127],"on":[128,188],"this":[129],"framework,":[130],"further":[132],"design":[133],"Region-adaptive":[135],"Normalization":[136],"(RN)":[137],"structural":[140,172,176],"consistency":[141,173],"constraint":[142,174],"track":[144],"task-specific":[146],"challenges.":[147],"RN":[148],"performs":[149],"region-specific":[150],"normalization":[151],"different":[153,168],"regions":[154],"each":[156],"image":[158],"suppress":[160],"negative":[161],"impact":[162],"large":[164],"intensity":[165],"variation":[166],"across":[167],"regions,":[169],"while":[170],"maintains":[175],"details":[177],"during":[178],"generation":[180],"Experiments":[187],"real":[189],"human":[190],"chest-abdomen":[191],"demonstrate":[194],"that":[195],"our":[196],"proposed":[197],"achieves":[199],"state-of-the-art":[200],"performance":[201],"quantitatively":[202],"qualitatively.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}