{"id":"https://openalex.org/W4404132530","doi":"https://doi.org/10.1109/tmi.2024.3492260","title":"Domain Progressive Low-Dose CT Imaging Using Iterative Partial Diffusion Model","display_name":"Domain Progressive Low-Dose CT Imaging Using Iterative Partial Diffusion Model","publication_year":2024,"publication_date":"2024-11-07","ids":{"openalex":"https://openalex.org/W4404132530","doi":"https://doi.org/10.1109/tmi.2024.3492260","pmid":"https://pubmed.ncbi.nlm.nih.gov/39509314"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3492260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3492260","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/A5112117323","display_name":"Feiyang Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feiyang Liao","raw_affiliation_strings":["School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044185120","display_name":"Yufei Tang","orcid":"https://orcid.org/0000-0002-6915-4468"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Tang","raw_affiliation_strings":["School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064236525","display_name":"Qiang Du","orcid":"https://orcid.org/0000-0003-3599-4001"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Du","raw_affiliation_strings":["School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679500","display_name":"Jiping Wang","orcid":"https://orcid.org/0000-0003-2241-8734"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiping Wang","raw_affiliation_strings":["School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351310","display_name":"Ming Li","orcid":"https://orcid.org/0000-0001-5168-8165"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027702007","display_name":"Jian Zheng","orcid":"https://orcid.org/0000-0003-4257-331X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zheng","raw_affiliation_strings":["School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112117323"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.7736,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90945831,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"44","issue":"9","first_page":"3610","last_page":"3628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9954000115394592,"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5211474895477295},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.49577173590660095},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.43794816732406616},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.41025274991989136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36097681522369385},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3539239168167114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3033485412597656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2861936092376709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28552311658859253},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2441660463809967},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1814579963684082}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5211474895477295},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.49577173590660095},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43794816732406616},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.41025274991989136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36097681522369385},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3539239168167114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3033485412597656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2861936092376709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28552311658859253},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2441660463809967},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1814579963684082},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3492260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3492260","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:39509314","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39509314","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":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2732532826","display_name":null,"funder_award_id":"1362022036","funder_id":"https://openalex.org/F4320325383","funder_display_name":"Department of Industrial Technology"},{"id":"https://openalex.org/G4301873433","display_name":null,"funder_award_id":"SYS202208","funder_id":"https://openalex.org/F4320313895","funder_display_name":"Department of Science and Technology of Shandong Province"},{"id":"https://openalex.org/G4788914165","display_name":null,"funder_award_id":"No.SYS202208","funder_id":"https://openalex.org/F4320313895","funder_display_name":"Department of Science and Technology of Shandong Province"},{"id":"https://openalex.org/G6247551410","display_name":null,"funder_award_id":"2022YFC2404103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G65547265","display_name":null,"funder_award_id":"No.2022YFC2404103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320313895","display_name":"Department of Science and Technology of Shandong Province","ror":"https://ror.org/01b9fvd84"},{"id":"https://openalex.org/F4320325383","display_name":"Department of Industrial Technology","ror":"https://ror.org/053yx4c68"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1964231221","https://openalex.org/W1966364402","https://openalex.org/W1972150100","https://openalex.org/W2063061288","https://openalex.org/W2100303385","https://openalex.org/W2127877311","https://openalex.org/W2141983208","https://openalex.org/W2144468361","https://openalex.org/W2171697262","https://openalex.org/W2319126251","https://openalex.org/W2584483805","https://openalex.org/W2730479676","https://openalex.org/W2743780012","https://openalex.org/W2787564202","https://openalex.org/W2791871435","https://openalex.org/W2948149465","https://openalex.org/W2972261808","https://openalex.org/W2973306787","https://openalex.org/W3037613944","https://openalex.org/W3098281398","https://openalex.org/W3103645830","https://openalex.org/W3130910673","https://openalex.org/W3155928910","https://openalex.org/W3178192988","https://openalex.org/W3180514382","https://openalex.org/W3182558064","https://openalex.org/W3185953395","https://openalex.org/W3201393040","https://openalex.org/W4224104371","https://openalex.org/W4283170333","https://openalex.org/W4290715421","https://openalex.org/W4293162124","https://openalex.org/W4308555638","https://openalex.org/W4310461112","https://openalex.org/W4311777174","https://openalex.org/W4312773500","https://openalex.org/W4312933868","https://openalex.org/W4321020942","https://openalex.org/W4360930456","https://openalex.org/W4366748056","https://openalex.org/W4378365204","https://openalex.org/W4387164668"],"related_works":["https://openalex.org/W2386796262","https://openalex.org/W3177740930","https://openalex.org/W1484549928","https://openalex.org/W1974805659","https://openalex.org/W2107386309","https://openalex.org/W2545869789","https://openalex.org/W2141090006","https://openalex.org/W1964555484","https://openalex.org/W3048932468","https://openalex.org/W2148504016"],"abstract_inverted_index":{"Traditional":[0],"deep":[1],"learning":[2],"reconstruction":[3],"(DLR)":[4],"methods":[5,216,260],"have":[6,58,72,252],"been":[7],"sparsely":[8],"applied":[9],"in":[10,32,62,92,100,217,261],"practical":[11,237,262],"low-dose":[12],"computed":[13],"tomography":[14],"(LDCT)":[15],"imaging,":[16,67],"as":[17,87,122],"they":[18,82],"heavily":[19],"rely":[20],"on":[21,189,200],"the":[22,25,37,49,63,77,123,126,133,142,147,152,176,224,243],"similarity":[23],"between":[24],"latent":[26],"distributions":[27],"of":[28,39,51,65,141,151,175,226],"data":[29,40,178],"features.":[30],"However,":[31,81],"real":[33],"LDCT":[34,66,112,245],"imaging":[35,113,263],"scenarios,":[36],"distribution":[38],"features":[41],"is":[42,267],"highly":[43],"diverse":[44,201],"and":[45,68,97,159,180,212,219],"complex,":[46],"which":[47],"limits":[48],"generalizability":[50],"existing":[52],"DLR":[53,215,229,259],"methods.":[54],"Recently,":[55],"diffusion":[56,119,144,153],"models":[57],"shown":[59],"great":[60],"potential":[61],"field":[64],"some":[69,213],"early":[70],"studies":[71],"used":[73],"them":[74],"to":[75,251,257],"address":[76],"domain":[78,110],"generalization":[79,254],"problem.":[80],"still":[83],"face":[84],"challenges":[85],"such":[86],"high":[88,95],"time":[89,157],"consumption,":[90],"difficulties":[91],"training":[93],"with":[94,115],"resolution,":[96],"performance":[98,225],"degradation":[99],"denoising":[101,134],"scenario.":[102],"In":[103],"this":[104],"paper,":[105],"we":[106],"propose":[107],"a":[108,138,163],"novel":[109],"progressive":[111],"framework":[114,130],"an":[116,184],"iterative":[117,209],"partial":[118],"model":[120,154],"(IPDM)":[121],"core.":[124],"Firstly,":[125],"derived":[127,164],"IPDM":[128,233],"theoretical":[129],"supports":[131],"completing":[132],"task":[135],"by":[136,173],"iterating":[137],"small":[139],"part":[140],"complete":[143],"model,":[145],"utilizing":[146],"strong":[148],"generation":[149],"ability":[150,255],"while":[155],"alleviating":[156],"consumption":[158],"convergence":[160],"difficulties.":[161],"Secondly,":[162],"condition":[165],"guided":[166,196],"sampling":[167,170],"method":[168,206,250],"alleviates":[169],"bias":[171],"caused":[172],"deviations":[174],"predictive":[177],"gradient":[179],"Langevin":[181],"dynamics.":[182],"Finally,":[183],"adaptive":[185],"weight":[186],"strategy":[187],"based":[188],"pixel-wise":[190],"noise":[191],"estimation":[192],"can":[193],"gradually":[194],"adjust":[195],"intensity.":[197],"Extensive":[198],"testing":[199],"datasets":[202],"reveals":[203],"that":[204],"our":[205,232,249],"outperforms":[207],"traditional":[208,258],"reconstructions,":[210],"unsupervised,":[211],"supervised":[214,228],"visual":[218],"quantitative":[220],"evaluations,":[221],"closely":[222],"matching":[223],"state-of-the-art":[227],"techniques.":[230],"Additionally,":[231],"was":[234],"trained":[235],"using":[236],"normal-dose":[238],"CT":[239],"data,":[240],"rather":[241],"than":[242],"tested":[244],"data.":[246],"This":[247],"enables":[248],"better":[253],"compared":[256],"scenarios.":[264],"Source":[265],"code":[266],"available":[268],"at":[269],"https://github.com/LFY1998/IPDM-PyTorch.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}