{"id":"https://openalex.org/W2964212292","doi":"https://doi.org/10.1109/tmi.2018.2820742","title":"3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation","display_name":"3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation","publication_year":2018,"publication_date":"2018-03-29","ids":{"openalex":"https://openalex.org/W2964212292","doi":"https://doi.org/10.1109/tmi.2018.2820742","mag":"2964212292","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994087"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2018.2820742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2820742","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/A5101755492","display_name":"Qiao Zheng","orcid":"https://orcid.org/0000-0002-5713-3870"},"institutions":[{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Qiao Zheng","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d\u2019Azur, Inria, Nice, France","Universit\u00e9 C\u00f4te d'Azur, Inria, Nice, France"],"raw_orcid":"https://orcid.org/0000-0002-5713-3870","affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d\u2019Azur, Inria, Nice, France","institution_ids":["https://openalex.org/I201841394"]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur, Inria, Nice, France","institution_ids":["https://openalex.org/I201841394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046898859","display_name":"Herv\u00e9 Delingette","orcid":"https://orcid.org/0000-0001-6050-5949"},"institutions":[{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Herve Delingette","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d\u2019Azur, Inria, Nice, France","Universit\u00e9 C\u00f4te d'Azur, Inria, Nice, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d\u2019Azur, Inria, Nice, France","institution_ids":["https://openalex.org/I201841394"]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur, Inria, Nice, France","institution_ids":["https://openalex.org/I201841394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064382416","display_name":"Nicol\u00e1s Duchateau","orcid":"https://orcid.org/0000-0001-8803-2004"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Duchateau","raw_affiliation_strings":["CNRS UMR 5220, INSERM U1206, CREATIS, Lyon, France"],"raw_orcid":"https://orcid.org/0000-0001-8803-2004","affiliations":[{"raw_affiliation_string":"CNRS UMR 5220, INSERM U1206, CREATIS, Lyon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I4210138704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110261261","display_name":"Nicholas Ayache","orcid":null},"institutions":[{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicholas Ayache","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d\u2019Azur, Inria, Nice, France","Universit\u00e9 C\u00f4te d'Azur, Inria, Nice, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d\u2019Azur, Inria, Nice, France","institution_ids":["https://openalex.org/I201841394"]},{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur, Inria, Nice, France","institution_ids":["https://openalex.org/I201841394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":14.117,"has_fulltext":false,"cited_by_count":199,"citation_normalized_percentile":{"value":0.99197949,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"37","issue":"9","first_page":"2137","last_page":"2148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9940999746322632,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8129920363426208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6765314340591431},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6317826509475708},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6022020578384399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6010622382164001},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5026962757110596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4687858819961548},{"id":"https://openalex.org/keywords/short-axis","display_name":"Short axis","score":0.447939932346344},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41200608015060425},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36732858419418335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23864513635635376},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11279460787773132}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8129920363426208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765314340591431},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6317826509475708},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6022020578384399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6010622382164001},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5026962757110596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4687858819961548},{"id":"https://openalex.org/C3018842581","wikidata":"https://www.wikidata.org/wiki/Q488415","display_name":"Short axis","level":3,"score":0.447939932346344},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41200608015060425},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36732858419418335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23864513635635376},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11279460787773132},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2988186910","wikidata":"https://www.wikidata.org/wiki/Q29588829","display_name":"Long axis","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006352","descriptor_name":"Heart Ventricles","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006352","descriptor_name":"Heart Ventricles","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006352","descriptor_name":"Heart Ventricles","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006352","descriptor_name":"Heart Ventricles","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006352","descriptor_name":"Heart Ventricles","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"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":"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":"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":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057791","descriptor_name":"Cardiac Imaging Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2018.2820742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2820742","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:29994087","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994087","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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2739892484","display_name":"Creation of cardiovascular magnetic resonance imaging reference standard for the UK Biobank imaging resource","funder_award_id":"PG/14/89/31194","funder_id":"https://openalex.org/F4320319992","funder_display_name":"British Heart Foundation"},{"id":"https://openalex.org/G5200657825","display_name":null,"funder_award_id":"MedYMA ERC-AdG-2011-291080","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G5850737185","display_name":null,"funder_award_id":"MC_PC_17228","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320319992","display_name":"British Heart Foundation","ror":"https://ror.org/02wdwnk04"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W21976314","https://openalex.org/W1820889844","https://openalex.org/W1901129140","https://openalex.org/W2057441779","https://openalex.org/W2059240422","https://openalex.org/W2129655528","https://openalex.org/W2258978862","https://openalex.org/W2274227799","https://openalex.org/W2334919579","https://openalex.org/W2337438617","https://openalex.org/W2578877523","https://openalex.org/W2620296437","https://openalex.org/W2625406793","https://openalex.org/W2744730369","https://openalex.org/W2767033384","https://openalex.org/W2792115253","https://openalex.org/W2962807789","https://openalex.org/W2962885625","https://openalex.org/W2963395421","https://openalex.org/W4205182665","https://openalex.org/W4295245474","https://openalex.org/W6600915255","https://openalex.org/W6639824700","https://openalex.org/W6742126214","https://openalex.org/W6744338214","https://openalex.org/W6749330325","https://openalex.org/W6766084031","https://openalex.org/W6805630560"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4375867731","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,37,50,64,67,92],"method":[3,88],"based":[4],"on":[5,12,91,106],"deep":[6],"learning":[7],"to":[8,27,45,52,178],"perform":[9],"cardiac":[10],"segmentation":[11,48,65,75],"short":[13],"axis":[14],"Magnetic":[15],"resonance":[16],"imaging":[17],"stacks":[18],"iteratively":[19],"from":[20,98,111,182],"the":[21,25,28,32,41,47,53,61,72,99,107,112,139,142,154,169,172,175],"top":[22],"slice":[23,30,51,55,68],"(around":[24,31],"base)":[26],"bottom":[29],"apex).":[33],"At":[34],"each":[35],"iteration,":[36],"novel":[38],"variant":[39],"of":[40,49,63,66,76,95,141,146,156,171],"U-net":[42],"is":[43,69,83,89,103],"applied":[44],"propagate":[46],"adjacent":[54,78],"below":[56],"it.":[57],"In":[58],"other":[59,117,183],"words,":[60],"prediction":[62],"dependent":[70],"upon":[71],"already":[73],"existing":[74],"an":[77],"slice.":[79],"The":[80,87],"3-D":[81],"consistency":[82,162],"hence":[84],"explicitly":[85],"enforced.":[86],"trained":[90],"large":[93],"database":[94],"3078":[96],"cases":[97,110,180],"U.K.":[100,113],"Biobank.":[101],"It":[102],"then":[104],"tested":[105],"756":[108],"different":[109],"Biobank":[114],"and":[115,128,174],"three":[116],"state-of-the-art":[118],"cohorts":[119],"(ACDC":[120],"with":[121,125,130],"100":[122],"cases,":[123,127],"Sunnybrook":[124],"30":[126],"RVSC":[129],"16":[131],"cases).":[132],"Results":[133],"comparable":[134],"or":[135],"even":[136,181],"better":[137],"than":[138],"state":[140,170],"art":[143],"in":[144],"terms":[145],"distance":[147],"measures":[148],"are":[149],"achieved.":[150],"They":[151],"also":[152],"emphasize":[153],"assets":[155],"our":[157],"method,":[158],"namely,":[159],"enhanced":[160],"spatial":[161],"(currently":[163],"neither":[164],"considered":[165],"nor":[166],"achieved":[167],"by":[168],"art),":[173],"generalization":[176],"ability":[177],"unseen":[179],"databases.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":35},{"year":2018,"cited_by_count":10}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
