{"id":"https://openalex.org/W3033577115","doi":"https://doi.org/10.1137/20m1343075","title":"Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography","display_name":"Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3033577115","doi":"https://doi.org/10.1137/20m1343075","mag":"3033577115"},"language":"en","primary_location":{"id":"doi:10.1137/20m1343075","is_oa":false,"landing_page_url":"https://doi.org/10.1137/20m1343075","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.01620","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042923813","display_name":"Tatiana A. Bubba","orcid":"https://orcid.org/0000-0003-0020-9210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tatiana A. Bubba","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0020-9210","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090974459","display_name":"Mathilde Galinier","orcid":"https://orcid.org/0000-0002-4176-159X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mathilde Galinier","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4176-159X","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052627284","display_name":"Matti Lassas","orcid":"https://orcid.org/0000-0003-2043-3156"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matti Lassas","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2043-3156","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024279313","display_name":"Marco Prato","orcid":"https://orcid.org/0000-0002-7327-3347"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Prato","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7327-3347","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061003015","display_name":"Luca Ratti","orcid":"https://orcid.org/0000-0001-7948-0577"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luca Ratti","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7948-0577","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5024895932","display_name":"Samuli Siltanen","orcid":"https://orcid.org/0000-0002-5988-5232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuli Siltanen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.097,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.34072031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":"2","first_page":"470","last_page":"505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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"}},{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6991150379180908},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5778725147247314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5327484607696533},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49365243315696716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48289966583251953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4709276556968689},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.44405052065849304},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4148527979850769},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.41473960876464844},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.41083407402038574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39538130164146423},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3725326359272003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3506641387939453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34204378724098206},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3324970602989197},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.20771104097366333},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.183990478515625}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6991150379180908},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5778725147247314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5327484607696533},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49365243315696716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48289966583251953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4709276556968689},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.44405052065849304},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4148527979850769},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.41473960876464844},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.41083407402038574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39538130164146423},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3725326359272003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3506641387939453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34204378724098206},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3324970602989197},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.20771104097366333},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.183990478515625},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1137/20m1343075","is_oa":false,"landing_page_url":"https://doi.org/10.1137/20m1343075","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2006.01620","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.01620","pdf_url":"https://arxiv.org/pdf/2006.01620","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":"mag:3033577115","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2006.01620.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:helda.helsinki.fi:10138/336815","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2006.01620","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"doi:10.48550/arxiv.2006.01620","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2006.01620","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.01620","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.01620","pdf_url":"https://arxiv.org/pdf/2006.01620","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":[{"id":"https://openalex.org/G1783532789","display_name":null,"funder_award_id":"284715","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G2214286716","display_name":"INdAM Doctoral Programme in Mathematics and/or applications cofunded by Marie Sklodowska-Curie actions","funder_award_id":"713485","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"},{"id":"https://openalex.org/G2961490949","display_name":null,"funder_award_id":"INdAM-DP-COFUND-2015","funder_id":"https://openalex.org/F4320311030","funder_display_name":"Istituto Nazionale di Alta Matematica \"Francesco Severi\""},{"id":"https://openalex.org/G4723255008","display_name":null,"funder_award_id":"783190","funder_id":"https://openalex.org/F4320327207","funder_display_name":"Electronic Components and Systems for European Leadership"},{"id":"https://openalex.org/G7844200388","display_name":null,"funder_award_id":"310822","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G7907027657","display_name":null,"funder_award_id":"713485","funder_id":"https://openalex.org/F4320311030","funder_display_name":"Istituto Nazionale di Alta Matematica \"Francesco Severi\""},{"id":"https://openalex.org/G8103704286","display_name":null,"funder_award_id":"312110","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320311030","display_name":"Istituto Nazionale di Alta Matematica \"Francesco Severi\"","ror":"https://ror.org/01vx64p53"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320327207","display_name":"Electronic Components and Systems for European Leadership","ror":null},{"id":"https://openalex.org/F4320334079","display_name":"Gruppo Nazionale per il Calcolo Scientifico","ror":null},{"id":"https://openalex.org/F4320338337","display_name":"H2020 Marie Sk\u0142odowska-Curie Actions","ror":null},{"id":"https://openalex.org/F4320338438","display_name":"HORIZON EUROPE Marie Sklodowska-Curie Actions","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W613352991","https://openalex.org/W1498436455","https://openalex.org/W1509199557","https://openalex.org/W1532154335","https://openalex.org/W1802177642","https://openalex.org/W1965632887","https://openalex.org/W1986737463","https://openalex.org/W1991456038","https://openalex.org/W2001541232","https://openalex.org/W2003999481","https://openalex.org/W2015159529","https://openalex.org/W2019313246","https://openalex.org/W2022946765","https://openalex.org/W2039285020","https://openalex.org/W2044291252","https://openalex.org/W2045563668","https://openalex.org/W2058583833","https://openalex.org/W2065390928","https://openalex.org/W2066408666","https://openalex.org/W2069252865","https://openalex.org/W2081289139","https://openalex.org/W2086223459","https://openalex.org/W2091993425","https://openalex.org/W2094585768","https://openalex.org/W2115566547","https://openalex.org/W2115706991","https://openalex.org/W2115755118","https://openalex.org/W2118103795","https://openalex.org/W2133665775","https://openalex.org/W2467545770","https://openalex.org/W2481798478","https://openalex.org/W2506400351","https://openalex.org/W2533020866","https://openalex.org/W2557283755","https://openalex.org/W2574952845","https://openalex.org/W2607406448","https://openalex.org/W2738743584","https://openalex.org/W2798559986","https://openalex.org/W2798810214","https://openalex.org/W2809920518","https://openalex.org/W2936479322","https://openalex.org/W2951579423","https://openalex.org/W2952020389","https://openalex.org/W2962826994","https://openalex.org/W2963398839","https://openalex.org/W2964121744","https://openalex.org/W2998001803","https://openalex.org/W3101710822","https://openalex.org/W3122499440","https://openalex.org/W3211148078"],"related_works":["https://openalex.org/W2950957876","https://openalex.org/W3196943155","https://openalex.org/W2963132301","https://openalex.org/W3055327321","https://openalex.org/W2603414563","https://openalex.org/W2981551308","https://openalex.org/W2613940844","https://openalex.org/W3209502942","https://openalex.org/W2784245940","https://openalex.org/W3189575964","https://openalex.org/W2902695846","https://openalex.org/W2910263794","https://openalex.org/W1965310127","https://openalex.org/W2794283697","https://openalex.org/W2001249946","https://openalex.org/W2181753213","https://openalex.org/W2183306045","https://openalex.org/W2555340375","https://openalex.org/W3102206315","https://openalex.org/W3132373599"],"abstract_inverted_index":{"We":[0,41,168],"propose":[1,203],"a":[2,33,65,77,89],"novel":[3],"convolutional":[4,152,215],"neural":[5],"network":[6,73],"(CNN),":[7],"called":[8],"$\u03a8$DONet,":[9],"designed":[10],"for":[11,76,93],"learning":[12,143],"pseudodifferential":[13],"operators":[14,216],"($\u03a8$DOs)":[15],"in":[16,68,124],"the":[17,27,49,52,61,81,98,101,107,125,129,151,155,183,197,200,206,210],"context":[18],"of":[19,55,64,80,91,100,127,131,154,173,199],"linear":[20],"inverse":[21],"problems.":[22,40],"Our":[23,103],"starting":[24],"point":[25],"is":[26,106],"Iterative":[28],"Soft":[29],"Thresholding":[30],"Algorithm":[31],"(ISTA),":[32],"well-known":[34],"algorithm":[35],"to":[36,85,114,208,213],"solve":[37],"sparsity-promoting":[38],"minimization":[39],"show":[42],"that,":[43,75,123],"under":[44],"rather":[45],"general":[46,72],"assumptions":[47],"on":[48,175],"forward":[50],"operator,":[51],"unfolded":[53],"iterations":[54],"ISTA":[56,92],"can":[57,96,145],"be":[58,146],"interpreted":[59],"as":[60],"successive":[62],"layers":[63],"CNN,":[66],"which":[67,94,136,217],"turn":[69],"provides":[70],"fairly":[71],"architectures":[74],"specific":[78],"choice":[79],"parameters":[82],"involved,":[83],"allow":[84],"reproduce":[86],"ISTA,":[87],"or":[88,220],"perturbation":[90],"we":[95,121,202],"bound":[97],"coefficients":[99],"filters.":[102],"case":[104,126],"study":[105],"limited-angle":[108,115,179],"X-ray":[109,158],"transform":[110,159],"and":[111,134,140,160,192,204],"its":[112],"application":[113],"computed":[116],"tomography":[117],"(LA-CT).":[118],"In":[119],"particular,":[120],"prove":[122],"LA-CT,":[128],"operations":[130],"upscaling,":[132],"downscaling":[133],"convolution,":[135],"characterize":[137],"our":[138],"$\u03a8$DONet":[139,174],"most":[141],"deep":[142],"schemes,":[144],"exactly":[147],"determined":[148],"by":[149],"combining":[150],"nature":[153],"limited":[156],"angle":[157],"basic":[161],"properties":[162],"defining":[163],"an":[164],"orthogonal":[165],"wavelet":[166],"system.":[167],"test":[169],"two":[170],"different":[171],"implementations":[172,188],"simulated":[176],"data":[177,185],"from":[178,182],"geometry,":[180],"generated":[181],"ellipse":[184],"set.":[186],"Both":[187],"provide":[189],"equally":[190],"good":[191],"noteworthy":[193],"preliminary":[194],"results,":[195],"showing":[196],"potential":[198],"approach":[201],"paving":[205],"way":[207],"applying":[209],"same":[211],"idea":[212],"other":[214],"are":[218],"$\u03a8$DOs":[219],"Fourier":[221],"integral":[222],"operators.":[223]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}