{"id":"https://openalex.org/W7225323634","doi":"https://doi.org/10.1088/1361-6560/aebe99","title":"Motion-guided semi-supervised learning with dynamic kernels for cardiac cine segmentation","display_name":"Motion-guided semi-supervised learning with dynamic kernels for cardiac cine segmentation","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225323634","doi":"https://doi.org/10.1088/1361-6560/aebe99","pmid":"https://pubmed.ncbi.nlm.nih.gov/42987514"},"language":"en","primary_location":{"id":"doi:10.1088/1361-6560/aebe99","doi":"https://doi.org/10.1088/1361-6560/aebe99","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1361-6560/aebe99","pdf_url":"https://iopscience.iop.org/article/10.1088/1361-6560/aebe99/pdf","source":{"id":"https://openalex.org/S20241394","display_name":"Physics in Medicine and Biology","issn_l":"0031-9155","issn":["0031-9155","1361-6560"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","doyens","jufo-2","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Physics in Medicine &amp; Biology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://iopscience.iop.org/article/10.1088/1361-6560/aebe99/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160908363","display_name":"Wei Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Fuzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160925988","display_name":"Guibin Lin","orcid":"https://orcid.org/0009-0009-8449-1743","observed_orcids":["https://orcid.org/0009-0009-8449-1743"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibin Lin","raw_affiliation_strings":["Fuzhou University"],"raw_orcid":"https://orcid.org/0009-0009-8449-1743","affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078082099","display_name":"Wangbin Ding","orcid":"https://orcid.org/0000-0001-6494-5554","observed_orcids":["https://orcid.org/0000-0001-6494-5554"]},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangbin Ding","raw_affiliation_strings":["Fujian Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Medical University","institution_ids":["https://openalex.org/I129708740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160922983","display_name":"Xingtao Lin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingtao Lin","raw_affiliation_strings":["Fuzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160756533","display_name":"Jinwei Dong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Dong","raw_affiliation_strings":["Fuzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126200050","display_name":"Liqin Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqin Huang","raw_affiliation_strings":["Fuzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126017809","display_name":"Mingjing Yang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjing Yang","raw_affiliation_strings":["Fuzhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439438","display_name":"Lin Pan","orcid":"https://orcid.org/0000-0001-5271-6295","observed_orcids":["https://orcid.org/0000-0001-5271-6295"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Pan","raw_affiliation_strings":["Fuzhou University School of Physics and Information Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuzhou University School of Physics and Information Engineering","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109964416","display_name":"Shaohua Zheng","orcid":"https://orcid.org/0000-0002-9133-705X","observed_orcids":["https://orcid.org/0000-0002-9133-705X"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Zheng","raw_affiliation_strings":["Fuzhou University"],"raw_orcid":"https://orcid.org/0000-0002-9133-705X","affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5160928151","display_name":"Zhi Dou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210143087","display_name":"Fujian Provincial Hospital","ror":"https://ror.org/045wzwx52","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Dou","raw_affiliation_strings":["Fujian Provincial Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Hospital","institution_ids":["https://openalex.org/I4210143087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3325,"currency":"USD","value_usd":3325},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9932000041007996,"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":0.9932000041007996,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.003100000089034438,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0005000000237487257,"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/cardiac-cine-mri","display_name":"cardiac cine MRI","score":0.8069999814033508},{"id":"https://openalex.org/keywords/cardiac-segmentation","display_name":"cardiac image segmentation","score":0.6809999942779541},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.968999981880188},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"motion estimation","score":0.6980000138282776},{"id":"https://openalex.org/keywords/pseudo-labeling","display_name":"pseudo-labeling","score":0.718999981880188},{"id":"https://openalex.org/keywords/dynamic-kernels","display_name":"dynamic kernels","score":0.5450000166893005},{"id":"https://openalex.org/keywords/myocardial-deformation","display_name":"myocardial deformation","score":0.5789999961853027},{"id":"https://openalex.org/keywords/spatio-temporal-segmentation","display_name":"spatio-temporal segmentation","score":0.6029999852180481},{"id":"https://openalex.org/keywords/annotation-burden-reduction","display_name":"annotation burden reduction","score":0.3779999911785126}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8427000045776367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975999712944031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7247999906539917},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5529000163078308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4880000054836273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4740999937057495},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3952000141143799},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37599998712539673},{"id":"https://openalex.org/C2987145844","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance","level":3,"score":0.37139999866485596},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.358599990606308},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.31790000200271606},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C2776008845","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance imaging","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.2538999915122986}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/1361-6560/aebe99","doi":"https://doi.org/10.1088/1361-6560/aebe99","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1361-6560/aebe99","pdf_url":"https://iopscience.iop.org/article/10.1088/1361-6560/aebe99/pdf","source":{"id":"https://openalex.org/S20241394","display_name":"Physics in Medicine and Biology","issn_l":"0031-9155","issn":["0031-9155","1361-6560"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","doyens","jufo-2","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Physics in Medicine &amp; Biology","raw_type":"journal-article"},{"id":"pmid:42987514","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42987514","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,"listed_in":[],"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":"Physics in medicine and biology","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1088/1361-6560/aebe99","doi":"https://doi.org/10.1088/1361-6560/aebe99","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1361-6560/aebe99","pdf_url":"https://iopscience.iop.org/article/10.1088/1361-6560/aebe99/pdf","source":{"id":"https://openalex.org/S20241394","display_name":"Physics in Medicine and Biology","issn_l":"0031-9155","issn":["0031-9155","1361-6560"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","doyens","jufo-2","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Physics in Medicine &amp; Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5597707422","display_name":"\u957f\u65f6\u7a0b\u968f\u8bbfCT\u6570\u636e\u9a71\u52a8\u7684\u80ba\u7ed3\u8282\u751f\u957f\u9884\u6d4b\u4e0e\u98ce\u9669\u8bc4\u4f30\u7814\u7a76","funder_award_id":"2024J01353","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G6995357663","display_name":null,"funder_award_id":"XRCZX2024003","funder_id":"https://openalex.org/F4320328113","funder_display_name":"Fujian Medical University"},{"id":"https://openalex.org/G773424371","display_name":null,"funder_award_id":"62401148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7857457420","display_name":null,"funder_award_id":"62271149","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"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320328113","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225323634.pdf","grobid_xml":"https://content.openalex.org/works/W7225323634.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2612445135","https://openalex.org/W3037932933","https://openalex.org/W4414449467"],"related_works":["https://openalex.org/W4415603407","https://openalex.org/W4409262357","https://openalex.org/W4292847719","https://openalex.org/W4385556756","https://openalex.org/W3119623205","https://openalex.org/W2952245832","https://openalex.org/W4415658523","https://openalex.org/W3204199183","https://openalex.org/W7171934162","https://openalex.org/W4401328646"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Accurate":[1],"segmentation":[2,96,131,159],"of":[3,58,173,193],"full":[4],"cardiac":[5,112,182],"cine":[6],"magnetic":[7],"resonance":[8],"(CMR)":[9],"sequences":[10],"is":[11],"crucial":[12],"for":[13,24,91,187],"clinical":[14,146,191],"diagnosis.":[15],"Although":[16],"deep":[17],"learning":[18],"models":[19],"have":[20],"become":[21],"the":[22,56,59,64,85,95,130,154,171],"standard":[23],"this":[25],"task,":[26],"they":[27],"typically":[28],"require":[29],"exhaustive":[30],"frame-by-frame":[31],"supervision,":[32],"making":[33],"manual":[34,174],"data":[35,175],"annotation":[36,176],"prohibitively":[37],"time-consuming.":[38],"APPROACH:":[39],"To":[40],"address":[41],"this,":[42],"we":[43],"propose":[44],"a":[45,76,99,115,141],"novel":[46],"motion-guided":[47],"semi-supervised":[48],"spatiotemporal":[49],"framework":[50,68,168],"that":[51,149],"propagates":[52],"sparse":[53],"supervision":[54],"from":[55,144],"label":[57],"end-diastolic":[60],"(ED)":[61],"frame":[62],"to":[63,83,108,120],"entire":[65],"sequence.":[66],"Our":[67],"jointly":[69],"optimizes":[70],"motion":[71,77],"estimation":[72],"and":[73,161,189],"segmentation.":[74],"First,":[75],"decoder":[78],"estimates":[79],"dense":[80],"displacement":[81],"fields":[82],"warp":[84],"ED":[86],"label,":[87],"generating":[88],"high-fidelity":[89],"pseudo-labels":[90,127],"unannotated":[92],"frames.":[93],"Concurrently,":[94],"network":[97],"employs":[98],"Temporal":[100],"Kernel":[101],"Segmentation":[102],"(TKS)":[103],"module":[104],"with":[105],"dynamic":[106],"convolutions":[107],"adaptively":[109],"capture":[110],"rapid":[111],"deformations,":[113],"alongside":[114],"Multi-Scale":[116],"Spatial":[117],"Propagator":[118],"(MSP)":[119],"recover":[121],"fine":[122],"anatomical":[123],"boundaries.":[124],"The":[125,166],"motion-derived":[126],"directly":[128],"supervise":[129],"network,":[132],"ensuring":[133],"temporal":[134],"coherence.":[135],"MAIN":[136],"RESULTS:":[137],"Extensive":[138],"experiments":[139],"on":[140],"multi-center":[142],"cohort":[143],"three":[145],"centers":[147],"demonstrate":[148],"our":[150],"approach":[151],"significantly":[152],"outperforms":[153],"compared":[155],"methods,":[156],"achieving":[157],"superior":[158],"accuracy":[160],"robust":[162],"generalization":[163],"capabilities.":[164],"SIGNIFICANCE:":[165],"proposed":[167],"effectively":[169],"mitigates":[170],"burden":[172],"while":[177],"providing":[178],"temporally":[179],"coherent":[180],"full-cycle":[181],"analysis,":[183],"holding":[184],"significant":[185],"potential":[186],"efficient":[188],"reliable":[190],"assessment":[192],"cardiovascular":[194],"diseases.":[195]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-06T00:00:00"}
