{"id":"https://openalex.org/W7126036536","doi":"https://doi.org/10.1109/bibm66473.2025.11356432","title":"Prototype-Calibrated Multimodal Fusion with Relational Consistency for Spatial Domain Identification in Spatial Transcriptomics","display_name":"Prototype-Calibrated Multimodal Fusion with Relational Consistency for Spatial Domain Identification in Spatial Transcriptomics","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126036536","doi":"https://doi.org/10.1109/bibm66473.2025.11356432"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5124264354","display_name":"Xiaoyu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Liu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101917206","display_name":"Daoyuan Wang","orcid":"https://orcid.org/0000-0002-1683-0530"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoyuan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University,Changsha,China,410083"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University,Changsha,China,410083","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393102","display_name":"Guanghui Li","orcid":"https://orcid.org/0000-0001-6531-1166"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Li","raw_affiliation_strings":["School of Information and Software Engineering, East China Jiaotong University,Nanchang,China,330013"],"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, East China Jiaotong University,Nanchang,China,330013","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124170105","display_name":"Cheng Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Liang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University,Jinan,China,250358","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5124264354"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65146652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.007499999832361937,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5370000004768372},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5174000263214111},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.516700029373169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5012000203132629},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48579999804496765},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4575999975204468},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4551999866962433},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4462999999523163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7282000184059143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6335999965667725},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5370000004768372},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5174000263214111},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.516700029373169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5012000203132629},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48579999804496765},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4575999975204468},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4551999866962433},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4462999999523163},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32510000467300415},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.303600013256073},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2581999897956848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1771146672","display_name":null,"funder_award_id":"62372279,62362034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4548073336","display_name":null,"funder_award_id":"ZR2025QB62,ZR2023MF119","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W2058487314","https://openalex.org/W2131681506","https://openalex.org/W2794480084","https://openalex.org/W2800392236","https://openalex.org/W3126958162","https://openalex.org/W3138516171","https://openalex.org/W3151130473","https://openalex.org/W4226192560","https://openalex.org/W4322738920","https://openalex.org/W4386692444","https://openalex.org/W4390814844","https://openalex.org/W4399892951","https://openalex.org/W4401441420","https://openalex.org/W4404829198","https://openalex.org/W4406870564","https://openalex.org/W4408275931","https://openalex.org/W4408389335","https://openalex.org/W4409346652","https://openalex.org/W4409365344","https://openalex.org/W4409367396","https://openalex.org/W4413147041","https://openalex.org/W4415796023"],"related_works":[],"abstract_inverted_index":{"Spatial":[0],"transcriptomics":[1,72,155],"technologies":[2],"produce":[3],"rich":[4],"multimodal":[5,174],"data,":[6],"including":[7],"gene":[8,97],"expression":[9,98],"profiles,":[10],"spatial":[11,57,71,141,154,164,175],"coordinates,":[12],"and":[13,36,74,99,147,170],"histological":[14],"images,":[15],"offering":[16,167],"unprecedented":[17],"opportunities":[18],"to":[19,32,123,136],"characterize":[20],"tissue":[21],"organization.":[22],"However,":[23],"effectively":[24,137],"integrating":[25],"these":[26],"heterogeneous":[27],"modalities":[28,120],"remains":[29],"challenging":[30],"due":[31],"the":[33],"complex":[34],"molecular":[35],"morphological":[37],"interplay.":[38],"To":[39,106],"address":[40],"this,":[41],"we":[42,94],"propose":[43],"PCMF-RC,":[44],"a":[45,81,110,130,168],"novel":[46],"Prototype-Calibrated":[47],"Multimodal":[48],"Fusion":[49],"framework":[50],"with":[51],"Relational":[52],"Consistency,":[53],"designed":[54],"for":[55,173],"accurate":[56],"domain":[58,165],"identification.":[59],"Our":[60],"approach":[61],"first":[62],"partitions":[63],"high-resolution":[64],"histopathological":[65],"images":[66],"into":[67],"patches":[68],"centered":[69],"on":[70,152],"spots":[73],"extracts":[75],"spatially":[76],"aware":[77],"visual":[78,83],"features":[79,101],"using":[80],"pre-trained":[82],"state":[84],"space":[85],"model.":[86],"We":[87,127],"then":[88],"obtain":[89],"modality-specific":[90],"latent":[91],"embeddings":[92],"where":[93],"separately":[95],"encode":[96],"image":[100],"via":[102],"graph":[103],"convolutional":[104],"networks.":[105],"improve":[107],"semantic":[108],"consistency,":[109],"cross-view":[111],"prototype":[112,125],"matching":[113],"module":[114,135],"that":[115,158],"aligns":[116],"cluster":[117],"prototypes":[118],"across":[119],"is":[121],"introduced":[122],"mitigate":[124],"shift.":[126],"further":[128],"design":[129],"relational":[131,142],"consistency":[132],"contrastive":[133],"learning":[134],"enforce":[138],"alignment":[139],"of":[140],"structures,":[143],"reducing":[144],"distributional":[145],"discrepancies":[146],"enhancing":[148],"robustness.":[149],"Extensive":[150],"experiments":[151],"multiple":[153],"datasets":[156],"demonstrate":[157],"PCMF-RC":[159],"outperforms":[160],"existing":[161],"methods":[162],"in":[163],"delineation,":[166],"robust":[169],"generalizable":[171],"solution":[172],"omics":[176],"integration.":[177]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}