{"id":"https://openalex.org/W4407213173","doi":"https://doi.org/10.1109/jbhi.2025.3539712","title":"Completed Feature Disentanglement Learning for Multimodal MRIs Analysis","display_name":"Completed Feature Disentanglement Learning for Multimodal MRIs Analysis","publication_year":2025,"publication_date":"2025-02-06","ids":{"openalex":"https://openalex.org/W4407213173","doi":"https://doi.org/10.1109/jbhi.2025.3539712","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031688"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3539712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3539712","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":true,"oa_status":"green","oa_url":"https://hub.hku.hk/handle/10722/355176","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089026024","display_name":"Tianling Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianling Liu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757725","display_name":"Hongying Liu","orcid":"https://orcid.org/0000-0002-8475-2749"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongying Liu","raw_affiliation_strings":["Medical School of Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Medical School of Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067858777","display_name":"Fanhua Shang","orcid":"https://orcid.org/0000-0002-1040-352X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanhua Shang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012581106","display_name":"Lequan Yu","orcid":"https://orcid.org/0000-0002-9315-6527"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lequan Yu","raw_affiliation_strings":["Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong","Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055992975","display_name":"Tong\u2010Seok Han","orcid":"https://orcid.org/0000-0002-5281-3922"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I4210102371","display_name":"Tianjin Huanhu Hospital","ror":"https://ror.org/00q6wbs64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210102371"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Han","raw_affiliation_strings":["Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China","Brain Medical Center of Tianjin University, Huanhu Hospital, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China","institution_ids":["https://openalex.org/I4210102371"]},{"raw_affiliation_string":"Brain Medical Center of Tianjin University, Huanhu Hospital, Tianjin, China","institution_ids":["https://openalex.org/I4210102371","https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000209938","display_name":"Liang Wan","orcid":"https://orcid.org/0000-0001-5501-9575"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wan","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089026024"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.2181,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75854399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"29","issue":"6","first_page":"4325","last_page":"4334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8740000128746033,"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/T10057","display_name":"Face and Expression Recognition","score":0.8740000128746033,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.7685999870300293,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.7491000294685364,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/computer-science","display_name":"Computer science","score":0.6677761077880859},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5938188433647156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5544332265853882},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.414246141910553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37390661239624023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6677761077880859},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5938188433647156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5544332265853882},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.414246141910553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37390661239624023},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2025.3539712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3539712","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:40031688","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031688","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:hub.hku.hk:10722/355176","is_oa":true,"landing_page_url":"https://hub.hku.hk/handle/10722/355176","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:hub.hku.hk:10722/355176","is_oa":true,"landing_page_url":"https://hub.hku.hk/handle/10722/355176","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G4749200793","display_name":null,"funder_award_id":"62476196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6114599517","display_name":null,"funder_award_id":"62276182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7307894458","display_name":null,"funder_award_id":"82071994","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G991648030","display_name":null,"funder_award_id":"ITS/273/22","funder_id":"https://openalex.org/F4320324196","funder_display_name":"Innovation and Technology Commission - Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324196","display_name":"Innovation and Technology Commission - Hong Kong","ror":"https://ror.org/04vf9tr09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1857789879","https://openalex.org/W2101807845","https://openalex.org/W2150884987","https://openalex.org/W2194775991","https://openalex.org/W2404368331","https://openalex.org/W2619383789","https://openalex.org/W2783923767","https://openalex.org/W2800911410","https://openalex.org/W2901483494","https://openalex.org/W2902874468","https://openalex.org/W2936150952","https://openalex.org/W2952810107","https://openalex.org/W2962858109","https://openalex.org/W2980316355","https://openalex.org/W2998508940","https://openalex.org/W3034288498","https://openalex.org/W3047472563","https://openalex.org/W3049045378","https://openalex.org/W3093051361","https://openalex.org/W3133447805","https://openalex.org/W3134105939","https://openalex.org/W3182889567","https://openalex.org/W3203934469","https://openalex.org/W3204958849","https://openalex.org/W4220945685","https://openalex.org/W4221022534","https://openalex.org/W4221163766","https://openalex.org/W4224926219","https://openalex.org/W4291653448","https://openalex.org/W4296123084","https://openalex.org/W4361029986","https://openalex.org/W4380089326","https://openalex.org/W4385801378","https://openalex.org/W4386075879","https://openalex.org/W4387225880","https://openalex.org/W4390061288","https://openalex.org/W4390874259","https://openalex.org/W4403791052","https://openalex.org/W4403791362","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6788887552","https://openalex.org/W6796149595","https://openalex.org/W6798128096"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278"],"abstract_inverted_index":{"Multimodal":[0],"MRIs":[1],"play":[2],"a":[3,66,114,157],"crucial":[4],"role":[5],"in":[6,29],"clinical":[7],"diagnosis":[8],"and":[9,42,45,83,137],"treatment.":[10],"Feature":[11,117],"disentanglement":[12],"(FD)-based":[13],"methods,":[14],"aiming":[15],"at":[16,104],"learning":[17,31,172],"superior":[18,211],"feature":[19,127],"representations":[20],"for":[21,88],"multimodal":[22,30,38,148,191],"data":[23,39],"analysis,":[24],"have":[25],"achieved":[26],"significant":[27],"success":[28],"(MML).":[32],"Typically,":[33],"existing":[34],"FD-based":[35],"methods":[36,62,93,205],"separate":[37],"into":[40],"modality-shared":[41,136],"modality-specific":[43,138],"features,":[44,139,169],"employ":[46],"concatenation":[47],"or":[48],"attention":[49],"mechanisms":[50],"to":[51,65],"integrate":[52],"these":[53,61,92,110,167],"features.":[54,153,178],"However,":[55],"our":[56,182,199],"preliminary":[57],"experiments":[58],"indicate":[59],"that":[60,121,164,198],"could":[63],"lead":[64],"loss":[67],"of":[68,73,147,181],"shared":[69,143],"information":[70,85,125],"among":[71,145,176],"subsets":[72,146],"modalities":[74],"when":[75],"the":[76,98,101,105,123,130,173,177],"inputs":[77],"contain":[78],"more":[79],"than":[80],"two":[81],"modalities,":[82],"such":[84],"is":[86,184],"critical":[87],"prediction":[89],"accuracy.":[90],"Furthermore,":[91],"do":[94],"not":[95,133],"adequately":[96],"interpret":[97],"relationships":[99,175],"between":[100],"decoupled":[102,168],"features":[103,144],"fusion":[106],"stage.":[107],"To":[108],"address":[109],"limitations,":[111],"we":[112],"propose":[113],"novel":[115],"Complete":[116],"Disentanglement":[118],"(CFD)":[119],"strategy":[120,132],"recovers":[122],"lost":[124],"during":[126],"decoupling.":[128],"Specifically,":[129],"CFD":[131],"only":[134],"identifies":[135],"but":[140],"also":[141],"decouples":[142],"inputs,":[149],"termed":[150],"as":[151],"modality-partial-shared":[152],"We":[154],"further":[155],"introduce":[156],"new":[158],"Dynamic":[159],"Mixture-of-Experts":[160],"Fusion":[161],"(DMF)":[162],"module":[163],"dynamically":[165],"integrates":[166],"by":[170],"explicitly":[171],"local-global":[174],"The":[179],"effectiveness":[180],"approach":[183,200],"validated":[185],"through":[186],"classification":[187],"tasks":[188],"on":[189],"three":[190],"MRI":[192],"datasets.":[193],"Extensive":[194],"experimental":[195],"results":[196],"demonstrate":[197],"outperforms":[201],"other":[202],"state-of-the-art":[203],"MML":[204],"with":[206],"obvious":[207],"margins,":[208],"showcasing":[209],"its":[210],"performance.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}