{"id":"https://openalex.org/W2914410118","doi":"https://doi.org/10.1109/jbhi.2018.2865450","title":"Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation","display_name":"Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation","publication_year":2018,"publication_date":"2018-08-14","ids":{"openalex":"https://openalex.org/W2914410118","doi":"https://doi.org/10.1109/jbhi.2018.2865450","mag":"2914410118","pmid":"https://pubmed.ncbi.nlm.nih.gov/30113903"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2018.2865450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2865450","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5046041670","display_name":"Cl\u00e9ment Zotti","orcid":"https://orcid.org/0000-0002-0713-9924"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Clement Zotti","raw_affiliation_strings":["Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0713-9924","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072443458","display_name":"Zhiming Luo","orcid":"https://orcid.org/0000-0002-3411-9582"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Luo","raw_affiliation_strings":["Department of Cognitive Science, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-3411-9582","affiliations":[{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014239609","display_name":"Alain Lalande","orcid":"https://orcid.org/0000-0002-7970-366X"},"institutions":[{"id":"https://openalex.org/I4210142595","display_name":"Maison des Sciences sociales et des Humanit\u00e9s de Dijon","ror":"https://ror.org/04ejcwb57","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142595","https://openalex.org/I4210150854","https://openalex.org/I4405253280"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alain Lalande","raw_affiliation_strings":["MRI Department, University Hospital of Dijon, Dijon, France"],"raw_orcid":"https://orcid.org/0000-0002-7970-366X","affiliations":[{"raw_affiliation_string":"MRI Department, University Hospital of Dijon, Dijon, France","institution_ids":["https://openalex.org/I4210142595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086581005","display_name":"Pierre\u2010Marc Jodoin","orcid":"https://orcid.org/0000-0002-6038-5753"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pierre-Marc Jodoin","raw_affiliation_strings":["Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6038-5753","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","institution_ids":["https://openalex.org/I135117807"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.3097,"has_fulltext":false,"cited_by_count":212,"citation_normalized_percentile":{"value":0.98714264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"23","issue":"3","first_page":"1119","last_page":"1128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991100013256073,"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":0.991100013256073,"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":0.9882000088691711,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9751999974250793,"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/computer-science","display_name":"Computer science","score":0.6938592195510864},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6756308078765869},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6528295278549194},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.6263208389282227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6179519891738892},{"id":"https://openalex.org/keywords/ventricle","display_name":"Ventricle","score":0.5684766173362732},{"id":"https://openalex.org/keywords/endocardium","display_name":"Endocardium","score":0.5542994141578674},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5259440541267395},{"id":"https://openalex.org/keywords/cardiac-magnetic-resonance-imaging","display_name":"Cardiac magnetic resonance imaging","score":0.49542057514190674},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4900251626968384},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.48704150319099426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4863751232624054},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4637952446937561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45706358551979065},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20230573415756226},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1509455144405365},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1293262243270874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6938592195510864},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6756308078765869},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6528295278549194},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.6263208389282227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6179519891738892},{"id":"https://openalex.org/C2778921608","wikidata":"https://www.wikidata.org/wiki/Q2002035","display_name":"Ventricle","level":2,"score":0.5684766173362732},{"id":"https://openalex.org/C85378888","wikidata":"https://www.wikidata.org/wiki/Q721856","display_name":"Endocardium","level":2,"score":0.5542994141578674},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5259440541267395},{"id":"https://openalex.org/C2776008845","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance imaging","level":3,"score":0.49542057514190674},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4900251626968384},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.48704150319099426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4863751232624054},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4637952446937561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45706358551979065},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20230573415756226},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1509455144405365},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1293262243270874}],"mesh":[{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"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":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":3,"locations":[{"id":"doi:10.1109/jbhi.2018.2865450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2865450","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:30113903","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30113903","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 journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:HAL:hal-03612068v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03612068","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics, 2019, 23 (3), pp.1119-1128. ⟨10.1109/JBHI.2018.2865450⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W804074387","https://openalex.org/W1488584896","https://openalex.org/W1522301498","https://openalex.org/W1565952653","https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1987512289","https://openalex.org/W2010293459","https://openalex.org/W2031334359","https://openalex.org/W2031544693","https://openalex.org/W2042089741","https://openalex.org/W2049554108","https://openalex.org/W2057441779","https://openalex.org/W2059240422","https://openalex.org/W2083383847","https://openalex.org/W2092465019","https://openalex.org/W2095705004","https://openalex.org/W2101608218","https://openalex.org/W2101698537","https://openalex.org/W2122126162","https://openalex.org/W2124632179","https://openalex.org/W2156926884","https://openalex.org/W2158524254","https://openalex.org/W2167230651","https://openalex.org/W2183032044","https://openalex.org/W2223158884","https://openalex.org/W2255189008","https://openalex.org/W2274227799","https://openalex.org/W2327084999","https://openalex.org/W2337438617","https://openalex.org/W2395611524","https://openalex.org/W2398551600","https://openalex.org/W2404618390","https://openalex.org/W2508829638","https://openalex.org/W2524965620","https://openalex.org/W2526558307","https://openalex.org/W2584721867","https://openalex.org/W2618456149","https://openalex.org/W2703616258","https://openalex.org/W2744613561","https://openalex.org/W2744730369","https://openalex.org/W2748496041","https://openalex.org/W2752785527","https://openalex.org/W2755733877","https://openalex.org/W2757633676","https://openalex.org/W2765984649","https://openalex.org/W2767801289","https://openalex.org/W2789621124","https://openalex.org/W2792115253","https://openalex.org/W2793909072","https://openalex.org/W2804047627","https://openalex.org/W2962807789","https://openalex.org/W2962885625","https://openalex.org/W2963395421","https://openalex.org/W2963446712","https://openalex.org/W2963736634","https://openalex.org/W2964121744","https://openalex.org/W6622785560","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6674330103","https://openalex.org/W6703635231","https://openalex.org/W6724859981","https://openalex.org/W6725109530","https://openalex.org/W6727483512","https://openalex.org/W6727630481","https://openalex.org/W6733318938","https://openalex.org/W6742126214","https://openalex.org/W6744338214","https://openalex.org/W6745521783","https://openalex.org/W6748909301","https://openalex.org/W6749330325","https://openalex.org/W6749929753","https://openalex.org/W6766084031"],"related_works":["https://openalex.org/W2188087883","https://openalex.org/W3188463548","https://openalex.org/W1121315442","https://openalex.org/W3127600691","https://openalex.org/W4387870815","https://openalex.org/W4363650189","https://openalex.org/W2003403120","https://openalex.org/W4319792695","https://openalex.org/W3000597650","https://openalex.org/W2124501761"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,15,35,41],"novel":[6],"convolutional":[7],"neural":[8],"network":[9,119],"architecture":[10],"to":[11,45,88,127],"segment":[12,89],"images":[13],"from":[14],"series":[16],"of":[17,30,60,94,100,109,139,183,193],"short-axis":[18],"cardiac":[19,36,47,141],"magnetic":[20,75],"resonance":[21,76],"slices":[22],"(CMRI).":[23],"The":[24],"proposed":[25],"model":[26,62,166],"is":[27,53,63,86],"an":[28,179,188],"extension":[29],"the":[31,46,50,58,90,95,98,101,107,110,118,129,137,140,147],"U-net":[32],"that":[33,164],"embeds":[34],"shape":[37,51,130],"prior":[38,52,131],"and":[39,85,92,123,156,171,187],"involves":[40],"loss":[42],"function":[43],"tailored":[44],"anatomy.":[48],"Since":[49],"computed":[54],"offline":[55],"only":[56],"once,":[57],"execution":[59],"our":[61,165],"not":[64],"limited":[65],"by":[66],"its":[67,114],"calculation.":[68],"Our":[69],"system":[70],"takes":[71],"as":[72,104,106,132,134],"input":[73],"raw":[74],"images,":[77],"requires":[78],"no":[79],"manual":[80],"preprocessing":[81],"or":[82],"image":[83],"cropping":[84],"trained":[87],"endocardium":[91,99],"epicardium":[93],"left":[96,111],"ventricle,":[97,103],"right":[102,172],"well":[105,133],"center":[108],"ventricle.":[112],"With":[113],"multiresolution":[115],"grid":[116],"architecture,":[117],"learns":[120],"both":[121],"high":[122],"low-level":[124],"features":[125],"useful":[126],"register":[128],"accurately":[135],"localize":[136],"borders":[138],"regions.":[142],"Experimental":[143],"results":[144],"obtained":[145],"on":[146],"Automatic":[148],"Cardiac":[149],"Diagnostic":[150],"Challenge":[151],"-":[152],"Medical":[153],"Image":[154],"Computing":[155],"Computer":[157],"Assisted":[158],"Intervention":[159],"(ACDC-MICCAI)":[160],"2017":[161],"dataset":[162],"show":[163],"segments":[167],"multislices":[168],"CMRI":[169],"(left":[170],"ventricle":[173],"contours)":[174],"in":[175],"0.18":[176],"s":[177],"with":[178],"average":[180,189],"Dice":[181],"coefficient":[182],"[Formula:":[184,194],"see":[185,195],"text]":[186,196],"3-D":[190],"Hausdorff":[191],"distance":[192],"mm.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":48},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}