{"id":"https://openalex.org/W4399527489","doi":"https://doi.org/10.1109/tce.2024.3412879","title":"Cross-Modality Interaction Network for Medical Image Fusion","display_name":"Cross-Modality Interaction Network for Medical Image Fusion","publication_year":2024,"publication_date":"2024-06-11","ids":{"openalex":"https://openalex.org/W4399527489","doi":"https://doi.org/10.1109/tce.2024.3412879"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2024.3412879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3412879","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-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/A5091304826","display_name":"Wenhao Song","orcid":"https://orcid.org/0009-0005-2982-8762"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhao Song","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111155204","display_name":"Xiangqin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150072","display_name":"Central Hospital of Zibo","ror":"https://ror.org/04n3h0p93","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210150072"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqin Zeng","raw_affiliation_strings":["Imaging Department, Zibo Central Hospital, Zibo, China","Zibo Central Hospital, Zibo, China"],"affiliations":[{"raw_affiliation_string":"Imaging Department, Zibo Central Hospital, Zibo, China","institution_ids":["https://openalex.org/I4210150072"]},{"raw_affiliation_string":"Zibo Central Hospital, Zibo, China","institution_ids":["https://openalex.org/I4210150072"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070017771","display_name":"Ahmed M. Abdelmoniem","orcid":"https://orcid.org/0000-0002-1374-1882"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ahmed M. Abdelmoniem","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015314896","display_name":"Housheng Zhang","orcid":"https://orcid.org/0000-0002-5944-6205"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Housheng Zhang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026551711","display_name":"Mingliang Gao","orcid":"https://orcid.org/0000-0001-7273-7499"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Gao","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091304826"],"corresponding_institution_ids":["https://openalex.org/I119203015"],"apc_list":null,"apc_paid":null,"fwci":1.6042,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85063065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"71","issue":"1","first_page":"1385","last_page":"1392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5633993148803711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5520704388618469},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5229585766792297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4785259962081909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47001293301582336},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4265217185020447},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31434255838394165}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5633993148803711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5520704388618469},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5229585766792297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4785259962081909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47001293301582336},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4265217185020447},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31434255838394165}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tce.2024.3412879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3412879","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/102814","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/102814","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2744198280","https://openalex.org/W2787890383","https://openalex.org/W2798987894","https://openalex.org/W2893979472","https://openalex.org/W2912147220","https://openalex.org/W2912551047","https://openalex.org/W2940940727","https://openalex.org/W2998012573","https://openalex.org/W3011768656","https://openalex.org/W3011794065","https://openalex.org/W3046194589","https://openalex.org/W3133700567","https://openalex.org/W3158080681","https://openalex.org/W3190808861","https://openalex.org/W3194077607","https://openalex.org/W3216987090","https://openalex.org/W4210814385","https://openalex.org/W4285600783","https://openalex.org/W4298009304","https://openalex.org/W4367053587","https://openalex.org/W4385819832","https://openalex.org/W4386076504","https://openalex.org/W4387068034","https://openalex.org/W4389428609","https://openalex.org/W4390120075","https://openalex.org/W4391936014","https://openalex.org/W6684191040","https://openalex.org/W6798687539"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2364381299","https://openalex.org/W2373946551","https://openalex.org/W2032636564","https://openalex.org/W2350275110","https://openalex.org/W2258043314","https://openalex.org/W2381578981"],"abstract_inverted_index":{"Multi-modal":[0],"medical":[1,18,37,76,168],"image":[2,19,38,63,77],"fusion":[3,39,188],"maximizes":[4],"the":[5,29,33,97,112,129,143,146,182,186],"complementary":[6],"information":[7,52],"from":[8,125],"diverse":[9],"modality":[10],"images":[11,135,169],"by":[12],"integrating":[13],"source":[14,30],"images.":[15,31],"The":[16,84],"fused":[17,134],"could":[20,156],"offer":[21],"enhanced":[22],"richness":[23],"and":[24,61,106,118,139,171,174,176,178,191],"improved":[25],"accuracy":[26],"compared":[27],"to":[28,102,116,151],"Unfortunately,":[32],"existing":[34],"deep":[35],"learning-based":[36],"methods":[40,189],"generally":[41],"rely":[42],"on":[43,161,166],"convolutional":[44],"operations,":[45],"which":[46,155],"may":[47],"not":[48],"effectively":[49],"capture":[50,103],"global":[51],"such":[53],"as":[54],"spatial":[55,105],"relationships":[56],"or":[57],"shape":[58],"features":[59,121],"within":[60,109],"across":[62,122],"modalities.":[64,123],"To":[65],"address":[66],"this":[67],"problem,":[68],"we":[69],"propose":[70],"a":[71,87],"unified":[72],"AI-Generated":[73],"Content":[74],"(AIGC)-based":[75],"fusion,":[78],"termed":[79],"Cross-Modal":[80],"Interactive":[81],"Network":[82],"(CMINet).":[83],"CMINet":[85],"integrates":[86],"recursive":[88,98,147],"transformer":[89,99],"with":[90,136],"an":[91],"interactive":[92,113],"Convolutional":[93],"Neural":[94],"Network.":[95],"Specifically,":[96],"is":[100,149],"designed":[101],"extended":[104],"temporal":[107],"dependencies":[108],"modalities,":[110],"while":[111],"CNN":[114],"aims":[115],"extract":[117],"merge":[119],"local":[120],"Benefiting":[124],"cross-modality":[126],"interaction":[127],"learning,":[128],"proposed":[130,183],"method":[131,184],"can":[132],"generate":[133],"rich":[137],"structural":[138],"functional":[140],"information.":[141],"Additionally,":[142],"architecture":[144],"of":[145],"network":[148],"structured":[150],"reduce":[152],"parameter":[153],"count,":[154],"be":[157],"beneficial":[158],"for":[159],"deployment":[160],"resource-constrained":[162],"devices.":[163],"Comprehensive":[164],"experiments":[165],"multi-model":[167],"(MRI":[170],"CT,":[172],"MRI":[173,177],"PET,":[175],"SPECT)":[179],"demonstrate":[180],"that":[181],"outperforms":[185],"state-of-the-art":[187],"subjectively":[190],"objectively.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
