{"id":"https://openalex.org/W4361029986","doi":"https://doi.org/10.1109/jbhi.2023.3262548","title":"Coco-Attention for Tumor Segmentation in Weakly Paired Multimodal MRI Images","display_name":"Coco-Attention for Tumor Segmentation in Weakly Paired Multimodal MRI Images","publication_year":2023,"publication_date":"2023-03-28","ids":{"openalex":"https://openalex.org/W4361029986","doi":"https://doi.org/10.1109/jbhi.2023.3262548","pmid":"https://pubmed.ncbi.nlm.nih.gov/37030813"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3262548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3262548","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/A5052628735","display_name":"Pei Zhou","orcid":"https://orcid.org/0000-0003-2006-9163"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pei Zhou","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653133","display_name":"Yanfeng Li","orcid":"https://orcid.org/0000-0002-8441-7721"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073025681","display_name":"Houjin Chen","orcid":"https://orcid.org/0000-0002-9247-8495"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houjin Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089537405","display_name":"Yahui Peng","orcid":"https://orcid.org/0000-0002-2520-1170"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahui Peng","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052628735"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.9444,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90961815,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":"6","first_page":"2944","last_page":"2955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10862","display_name":"AI in cancer detection","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727019190788269},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6944354176521301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6783710718154907},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6299608945846558},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6175439357757568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5462446212768555},{"id":"https://openalex.org/keywords/coco","display_name":"Coco","score":0.42414572834968567},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.413443386554718},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1534707248210907},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1400768756866455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727019190788269},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6944354176521301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6783710718154907},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6299608945846558},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6175439357757568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5462446212768555},{"id":"https://openalex.org/C21780288","wikidata":"https://www.wikidata.org/wiki/Q5139731","display_name":"Coco","level":2,"score":0.42414572834968567},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.413443386554718},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1534707248210907},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1400768756866455},{"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":"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":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003059","descriptor_name":"Cocos","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003059","descriptor_name":"Cocos","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003059","descriptor_name":"Cocos","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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3262548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3262548","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:37030813","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37030813","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G4808595187","display_name":null,"funder_award_id":"62272027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G731965947","display_name":null,"funder_award_id":"62172029","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2028344184","https://openalex.org/W2608181624","https://openalex.org/W2734349601","https://openalex.org/W2761721704","https://openalex.org/W2792023360","https://openalex.org/W2891179298","https://openalex.org/W2895328943","https://openalex.org/W2902975600","https://openalex.org/W2907760128","https://openalex.org/W2938744788","https://openalex.org/W2963046541","https://openalex.org/W2963730812","https://openalex.org/W2970546341","https://openalex.org/W2971548327","https://openalex.org/W2971667786","https://openalex.org/W3020743079","https://openalex.org/W3033435911","https://openalex.org/W3101310341","https://openalex.org/W3106286734","https://openalex.org/W3116201895","https://openalex.org/W3130171175","https://openalex.org/W3136763234","https://openalex.org/W3143351114","https://openalex.org/W3169059866","https://openalex.org/W3177052299","https://openalex.org/W3184679245","https://openalex.org/W3213320316","https://openalex.org/W4289752563","https://openalex.org/W4385245566","https://openalex.org/W6719057275","https://openalex.org/W6752378368","https://openalex.org/W6756425710","https://openalex.org/W6776111039"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2360747338","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344"],"abstract_inverted_index":{"Multimodal":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(MRI)":[4],"contains":[5],"complementary":[6,28,56,113],"information":[7,29,57,114,148],"in":[8,30,58,160,199],"anatomical":[9],"and":[10,18,79,97,132,203,225],"functional":[11],"images":[12,33,61,202],"that":[13,51,190],"help":[14],"the":[15,27,38,55,75,80,98,110,135,140,155,161,165,191,218,223,228],"accurate":[16,63,94],"diagnosis":[17],"treatment":[19],"evaluation":[20],"of":[21,40,72,157,176,181,227],"lung":[22,169,184],"cancers.":[23],"However,":[24],"effectively":[25,53],"exploiting":[26],"chest":[31,178],"MRI":[32,179],"remains":[34],"challenging":[35],"due":[36],"to":[37,88,101,124,138,149],"lack":[39],"rigorous":[41],"registration.":[42],"In":[43],"this":[44],"paper,":[45],"a":[46,121,173],"novel":[47],"method":[48,167,193],"is":[49,194],"proposed":[50,166,192,229],"can":[52],"exploit":[54],"weakly":[59,200],"paired":[60,201],"for":[62,93,105,196],"tumor":[64,95,103,130,151,170,197],"segmentation,":[65],"namely":[66],"coco-attention":[67,230],"mechanism.":[68],"Coco-attention":[69],"module":[70],"consists":[71],"two":[73],"parts:":[74],"multi-modal":[76],"co-attention":[77],"(MultiCo-attn)":[78],"multi-level":[81,146],"coordinate":[82],"attention":[83,126,136],"(MultiCord-attn).":[84],"The":[85,143,187],"former":[86],"aims":[87,100],"obtain":[89],"tumor-aware":[90],"deep":[91],"features":[92,119],"localization,":[96],"latter":[99],"highlight":[102,150],"area":[104],"more":[106],"precise":[107],"segmentation.":[108],"Specifically,":[109],"MultiCo-attn":[111],"extracts":[112],"from":[115],"multimodal":[116,214],"high-dimensional":[117],"semantic":[118],"using":[120],"bidirectional":[122],"algorithm":[123],"generate":[125],"maps":[127,137],"focused":[128],"on":[129,168],"region,":[131],"then":[133],"uses":[134],"enhance":[139],"feature":[141,147],"representations.":[142],"MultiCord-attn":[144],"leverages":[145],"regions":[152],"by":[153],"adjusting":[154],"weight":[156],"each":[158],"point":[159],"feature.":[162],"We":[163],"evaluate":[164],"segmentation":[171,198,215],"with":[172],"clinical":[174],"dataset":[175],"90":[177],"scans":[180],"non-small":[182],"cell":[183],"cancer":[185],"(NSCLC).":[186],"results":[188,221],"show":[189],"effective":[195],"achieves":[204],"significant":[205],"improvement":[206],"(p":[207],"<":[208],"0.005)":[209],"over":[210],"several":[211],"commonly":[212],"used":[213],"methods.":[216],"Furthermore,":[217],"ablation":[219],"experiment":[220],"confirm":[222],"effectiveness":[224],"interpretability":[226],"module.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}