{"id":"https://openalex.org/W4319068627","doi":"https://doi.org/10.1109/tpami.2022.3231334","title":"Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional Images","display_name":"Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional Images","publication_year":2023,"publication_date":"2023-02-03","ids":{"openalex":"https://openalex.org/W4319068627","doi":"https://doi.org/10.1109/tpami.2022.3231334","pmid":"https://pubmed.ncbi.nlm.nih.gov/37022447"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3231334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3231334","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5015773454","display_name":"Jin Han","orcid":"https://orcid.org/0000-0002-6968-5058"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jin Han","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan","National Institute of Informatics, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"National Institute of Informatics, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043298205","display_name":"Yixin Yang","orcid":"https://orcid.org/0000-0002-6299-8414"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Yang","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077113327","display_name":"Peiqi Duan","orcid":"https://orcid.org/0000-0002-4938-3132"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiqi Duan","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023089115","display_name":"Chu Zhou","orcid":"https://orcid.org/0000-0002-3962-6313"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu Zhou","raw_affiliation_strings":["School of Intelligence Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462123","display_name":"\u041b\u0435\u0439 \u041c\u0430","orcid":"https://orcid.org/0000-0001-6024-3854"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ma","raw_affiliation_strings":["National Biomedical Imaging Center, Peking University, Beijing, China","Life Simulation Research Center, Beijing Academy of Artificial Intelligence, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Biomedical Imaging Center, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Life Simulation Research Center, Beijing Academy of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102916885","display_name":"Chao Xu","orcid":"https://orcid.org/0000-0002-6522-0982"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Xu","raw_affiliation_strings":["School of Intelligence Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004017981","display_name":"Imari Sato","orcid":"https://orcid.org/0000-0003-2067-3918"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Imari Sato","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan","National Institute of Informatics, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"National Institute of Informatics, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095","https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038326097","display_name":"Boxin Shi","orcid":"https://orcid.org/0000-0001-6749-0364"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boxin Shi","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5015773454"],"corresponding_institution_ids":["https://openalex.org/I184597095","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":4.559,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95975879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"45","issue":"7","first_page":"8553","last_page":"8565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/high-dynamic-range","display_name":"High dynamic range","score":0.8408129811286926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7954472899436951},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.761451005935669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7511036992073059},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.6459149122238159},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6206902861595154},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5902711749076843},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.5766439437866211},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5301170349121094},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44017359614372253},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4370189905166626},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.42987948656082153},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.42596641182899475},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24211043119430542},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07311949133872986}],"concepts":[{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.8408129811286926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7954472899436951},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.761451005935669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511036992073059},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.6459149122238159},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6206902861595154},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5902711749076843},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.5766439437866211},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5301170349121094},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44017359614372253},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4370189905166626},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.42987948656082153},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.42596641182899475},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24211043119430542},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07311949133872986},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3231334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3231334","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37022447","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37022447","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3598382722","display_name":null,"funder_award_id":"62136001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W581289835","https://openalex.org/W1522301498","https://openalex.org/W1583366798","https://openalex.org/W1965557220","https://openalex.org/W1997746542","https://openalex.org/W2010316810","https://openalex.org/W2013980527","https://openalex.org/W2063069461","https://openalex.org/W2074172223","https://openalex.org/W2103802376","https://openalex.org/W2140873729","https://openalex.org/W2149211411","https://openalex.org/W2342045095","https://openalex.org/W2476548250","https://openalex.org/W2562361172","https://openalex.org/W2601564443","https://openalex.org/W2736611505","https://openalex.org/W2746556728","https://openalex.org/W2765302960","https://openalex.org/W2766497195","https://openalex.org/W2769930525","https://openalex.org/W2797594039","https://openalex.org/W2886787375","https://openalex.org/W2894939846","https://openalex.org/W2950689937","https://openalex.org/W2962785568","https://openalex.org/W2969884493","https://openalex.org/W2986695366","https://openalex.org/W2998281665","https://openalex.org/W3016539359","https://openalex.org/W3024380564","https://openalex.org/W3034628923","https://openalex.org/W3034683395","https://openalex.org/W3035303839","https://openalex.org/W3040838455","https://openalex.org/W3085056143","https://openalex.org/W3101923070","https://openalex.org/W3106019615","https://openalex.org/W3121214277","https://openalex.org/W3122099796","https://openalex.org/W3139937682","https://openalex.org/W3174491972","https://openalex.org/W3177555852","https://openalex.org/W3186150684","https://openalex.org/W3195504409","https://openalex.org/W3199425519","https://openalex.org/W4214565358","https://openalex.org/W4236229596","https://openalex.org/W4254791684","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6750996985","https://openalex.org/W6783508657","https://openalex.org/W6786437676","https://openalex.org/W6809599861","https://openalex.org/W6907509652"],"related_works":["https://openalex.org/W2014689642","https://openalex.org/W2884377208","https://openalex.org/W1978234925","https://openalex.org/W1965307097","https://openalex.org/W2943585339","https://openalex.org/W1939253538","https://openalex.org/W2115969764","https://openalex.org/W2162796060","https://openalex.org/W2008675431","https://openalex.org/W1993867686"],"abstract_inverted_index":{"Reconstruction":[0],"of":[1,49,106,125,143,158,194],"high":[2,42,95,132,198],"dynamic":[3,10,43,96,117,133,176,199],"range":[4,11,44,97,134,177,200],"image":[5,12],"from":[6,21,81,88],"a":[7,15,67,82,140],"single":[8],"low":[9,175],"captured":[13],"by":[14,163],"conventional":[16],"RGB":[17,90],"camera,":[18,153],"which":[19,110],"suffers":[20],"over-":[22],"or":[23],"under-exposure,":[24],"is":[25],"an":[26,89],"ill-posed":[27],"problem.":[28],"In":[29,62],"contrast,":[30],"recent":[31],"neuromorphic":[32,83],"cameras":[33],"like":[34],"event":[35],"camera":[36,39,84,91],"and":[37,58,76,85,99,119,127,136,154,172,181,188,204],"spike":[38],"can":[40,206],"record":[41],"scenes":[45,149],"in":[46],"the":[47,78,112,151,156,159,192,195],"form":[48],"intensity":[50],"maps,":[51],"but":[52],"with":[53],"much":[54],"lower":[55],"spatial":[56],"resolution":[57],"no":[59],"color":[60,120],"information.":[61],"this":[63],"article,":[64],"we":[65],"propose":[66],"hybrid":[68,144,152,197],"imaging":[69,201],"system":[70],"(denoted":[71],"as":[72],"NeurImg)":[73],"that":[74],"captures":[75],"fuses":[77],"visual":[79],"information":[80],"ordinary":[86],"images":[87,98,128,135,178],"to":[92,129,166],"reconstruct":[93,130],"high-quality":[94],"videos.":[100,137],"The":[101],"proposed":[102,160,196],"NeurImg-HDR+":[103],"network":[104],"consists":[105],"specially":[107],"designed":[108],"modules,":[109],"bridges":[111],"domain":[113],"gaps":[114],"on":[115,146,184],"resolution,":[116],"range,":[118],"representation":[121],"between":[122],"two":[123,174],"types":[124],"sensors":[126],"high-resolution,":[131],"We":[138],"capture":[139],"test":[141],"dataset":[142,205],"signals":[145],"various":[147],"HDR":[148],"using":[150],"analyze":[155],"advantages":[157],"fusing":[161],"strategy":[162],"comparing":[164],"it":[165],"state-of-the-art":[167],"inverse":[168],"tone":[169],"mapping":[170],"methods":[171],"merging":[173],"approaches.":[179],"Quantitative":[180],"qualitative":[182],"experiments":[183],"both":[185],"synthetic":[186],"data":[187],"real-world":[189],"scenarios":[190],"demonstrate":[191],"effectiveness":[193],"system.":[202],"Code":[203],"be":[207],"found":[208],"at:":[209],"https://github.com/hjynwa/NeurImg-HDR.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}