{"id":"https://openalex.org/W4220730772","doi":"https://doi.org/10.1109/tip.2022.3157136","title":"Portal Vein and Hepatic Vein Segmentation in Multi-Phase MR Images Using Flow-Guided Change Detection","display_name":"Portal Vein and Hepatic Vein Segmentation in Multi-Phase MR Images Using Flow-Guided Change Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4220730772","doi":"https://doi.org/10.1109/tip.2022.3157136","pmid":"https://pubmed.ncbi.nlm.nih.gov/35275817"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3157136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3157136","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5082075542","display_name":"Qing Guo","orcid":"https://orcid.org/0000-0001-7694-9157"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Guo","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","School of Computer Science &#x0026","Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7694-9157","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science &#x0026","institution_ids":[]},{"raw_affiliation_string":"Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769854","display_name":"Hong Song","orcid":"https://orcid.org/0000-0002-3171-2604"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Song","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","Technology, Beijing Institute of Technology, Beijing, China","School of Computer Science &#x0026"],"raw_orcid":"https://orcid.org/0000-0002-3171-2604","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science &#x0026","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085936638","display_name":"Jingfan Fan","orcid":"https://orcid.org/0000-0003-4857-6490"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfan Fan","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4857-6490","affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012390446","display_name":"Danni Ai","orcid":"https://orcid.org/0000-0002-2285-0570"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danni Ai","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025557736","display_name":"Yuanjin Gao","orcid":"https://orcid.org/0000-0002-1050-5753"},"institutions":[{"id":"https://openalex.org/I4210144404","display_name":"Beijing Children\u2019s Hospital","ror":"https://ror.org/04skmn292","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210144404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjin Gao","raw_affiliation_strings":["Department of Ultrasound, Beijing Children’s Hospital, Captial Medical University, Beijing, China","Department of Ultrasound, Beijing Children&#x2019","s Hospital, Captial Medical University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ultrasound, Beijing Children’s Hospital, Captial Medical University, Beijing, China","institution_ids":["https://openalex.org/I4210144404"]},{"raw_affiliation_string":"Department of Ultrasound, Beijing Children&#x2019","institution_ids":["https://openalex.org/I4210144404"]},{"raw_affiliation_string":"s Hospital, Captial Medical University, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057734218","display_name":"Xiaoling Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Yu","raw_affiliation_strings":["Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643476","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-1250-6319"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1250-6319","affiliations":[{"raw_affiliation_string":"School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5411,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83028674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"2503","last_page":"2517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9933000206947327,"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":0.9933000206947327,"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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9700000286102295,"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":0.6774048209190369},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6365920901298523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6353289484977722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6010011434555054},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5645748972892761},{"id":"https://openalex.org/keywords/hepatic-portal-vein","display_name":"Hepatic portal vein","score":0.5207743048667908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46990105509757996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46636924147605896},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4609857499599457},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2845225930213928},{"id":"https://openalex.org/keywords/portal-vein","display_name":"Portal vein","score":0.19633835554122925},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1797863245010376}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6774048209190369},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6365920901298523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353289484977722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6010011434555054},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5645748972892761},{"id":"https://openalex.org/C2910727132","wikidata":"https://www.wikidata.org/wiki/Q464543","display_name":"Hepatic portal vein","level":3,"score":0.5207743048667908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46990105509757996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46636924147605896},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4609857499599457},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2845225930213928},{"id":"https://openalex.org/C2779033008","wikidata":"https://www.wikidata.org/wiki/Q464543","display_name":"Portal vein","level":2,"score":0.19633835554122925},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1797863245010376}],"mesh":[{"descriptor_ui":"D006503","descriptor_name":"Hepatic Veins","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006503","descriptor_name":"Hepatic Veins","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006503","descriptor_name":"Hepatic Veins","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006503","descriptor_name":"Hepatic Veins","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D006503","descriptor_name":"Hepatic Veins","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D006503","descriptor_name":"Hepatic Veins","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011169","descriptor_name":"Portal Vein","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011169","descriptor_name":"Portal Vein","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011169","descriptor_name":"Portal Vein","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011169","descriptor_name":"Portal Vein","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D011169","descriptor_name":"Portal Vein","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D011169","descriptor_name":"Portal Vein","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3157136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3157136","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:35275817","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35275817","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4742011769","display_name":null,"funder_award_id":"62171039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5571824662","display_name":"\u4e2a\u6027\u5316\u809d\u810f\u80bf\u7624\u5c04\u9891\u6d88\u878d\u672f\u524d\u89c4\u5212\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61771056","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1599282721","https://openalex.org/W1991521296","https://openalex.org/W1998866072","https://openalex.org/W2060363194","https://openalex.org/W2112783556","https://openalex.org/W2117340355","https://openalex.org/W2120688485","https://openalex.org/W2167428023","https://openalex.org/W2170140722","https://openalex.org/W2310428722","https://openalex.org/W2334170987","https://openalex.org/W2345716184","https://openalex.org/W2405772863","https://openalex.org/W2474106755","https://openalex.org/W2488305974","https://openalex.org/W2497902795","https://openalex.org/W2507987841","https://openalex.org/W2589521893","https://openalex.org/W2590120901","https://openalex.org/W2593831960","https://openalex.org/W2618718534","https://openalex.org/W2621247553","https://openalex.org/W2728619158","https://openalex.org/W2736576486","https://openalex.org/W2779571083","https://openalex.org/W2791987915","https://openalex.org/W2803524673","https://openalex.org/W2891249121","https://openalex.org/W2891613392","https://openalex.org/W2900358497","https://openalex.org/W2903274701","https://openalex.org/W2927400167","https://openalex.org/W2943580940","https://openalex.org/W2962914239","https://openalex.org/W2963471237","https://openalex.org/W2969081030","https://openalex.org/W2970108562","https://openalex.org/W2979641093","https://openalex.org/W2986635260","https://openalex.org/W2998990144","https://openalex.org/W3000524228","https://openalex.org/W3014974815","https://openalex.org/W3026655365","https://openalex.org/W3027886127","https://openalex.org/W3092645103","https://openalex.org/W3112701542","https://openalex.org/W3129565981","https://openalex.org/W4300956932","https://openalex.org/W6750104346"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W1998563493","https://openalex.org/W4306164210","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2383143032","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Segmenting":[0],"portal":[1,142],"vein":[2,6],"(PV)":[3],"and":[4,34,47,63,68,79,118,128,161,176,195,201],"hepatic":[5,17,109,114],"(HV)":[7],"from":[8,49,70],"magnetic":[9],"resonance":[10],"imaging":[11],"(MRI)":[12],"scans":[13],"is":[14,100,168,183],"important":[15],"for":[16],"tumor":[18],"surgery.":[19],"Compared":[20],"with":[21,126,141],"single":[22],"phase-based":[23],"methods,":[24],"multiple":[25],"phases-based":[26],"methods":[27,42],"have":[28],"better":[29],"scalability":[30],"in":[31],"distinguishing":[32],"HV":[33,46,67,127,160],"PV":[35,48,69,129,162],"by":[36,82,93,112,131,158,170],"exploiting":[37],"multi-phase":[38,71,186],"information.":[39],"However,":[40],"these":[41],"just":[43],"coarsely":[44],"extract":[45],"different":[50],"phase":[51,116],"images.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"a":[58],"unified":[59],"framework":[60,149,182,207],"to":[61,87,102,108,152],"automatically":[62],"robustly":[64,145],"segment":[65],"3D":[66],"MR":[72,188],"images,":[73],"which":[74],"considers":[75],"both":[76,159],"the":[77,83,104,120,132,138,172,191,209],"change":[78,94,97],"appearance":[80,139],"caused":[81],"vascular":[84,154],"flow":[85,111,144],"event":[86],"improve":[88],"segmentation":[89,155],"performance.":[90],"Firstly,":[91],"inspired":[92],"detection,":[95],"flow-guided":[96],"detection":[98],"(FGCD)":[99],"designed":[101],"detect":[103],"changed":[105],"voxels":[106],"related":[107],"venous":[110,115,143],"generating":[113],"map":[117],"clustering":[119,130],"map.":[121],"The":[122,199],"FGCD":[123],"uniformly":[124],"deals":[125],"proposed":[133,169],"shared":[134],"clustering,":[135,163],"thus":[136],"making":[137,166],"correlated":[140],"delineate":[146],"without":[147],"increasing":[148],"complexity.":[150],"Then,":[151],"refine":[153],"results":[156],"produced":[157],"interclass":[164],"decision":[165],"(IDM)":[167],"combining":[171],"overlapping":[173],"region":[174],"discrimination":[175],"neighborhood":[177],"direction":[178],"consistency.":[179],"Finally,":[180],"our":[181,206],"evaluated":[184],"on":[185],"clinical":[187],"images":[189],"of":[190],"public":[192],"dataset":[193],"(TCGA)":[194],"local":[196],"hospital":[197],"dataset.":[198],"quantitative":[200],"qualitative":[202],"evaluations":[203],"show":[204],"that":[205],"outperforms":[208],"existing":[210],"methods.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}