{"id":"https://openalex.org/W4386379335","doi":"https://doi.org/10.1007/s11042-023-16515-2","title":"Brain image fusion using the parameter adaptive-pulse coupled neural network (PA-PCNN) and non-subsampled contourlet transform (NSCT)","display_name":"Brain image fusion using the parameter adaptive-pulse coupled neural network (PA-PCNN) and non-subsampled contourlet transform (NSCT)","publication_year":2023,"publication_date":"2023-09-01","ids":{"openalex":"https://openalex.org/W4386379335","doi":"https://doi.org/10.1007/s11042-023-16515-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-023-16515-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-16515-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-16515-2.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-16515-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011917696","display_name":"Sa. I. Ibrahim","orcid":"https://orcid.org/0000-0003-1328-3217"},"institutions":[{"id":"https://openalex.org/I114794399","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074","country_code":"EG","type":"education","lineage":["https://openalex.org/I114794399"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Sa. I. Ibrahim","raw_affiliation_strings":["Faculty Of Computers and Informatics, Suez Canal University, Information Systems Department, Ismailia, Egypt"],"raw_orcid":"https://orcid.org/0000-0003-1328-3217","affiliations":[{"raw_affiliation_string":"Faculty Of Computers and Informatics, Suez Canal University, Information Systems Department, Ismailia, Egypt","institution_ids":["https://openalex.org/I114794399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011246868","display_name":"Gh. S. El-Tawel","orcid":null},"institutions":[{"id":"https://openalex.org/I114794399","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074","country_code":"EG","type":"education","lineage":["https://openalex.org/I114794399"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Gh. S. El-Tawel","raw_affiliation_strings":["Faculty Of Computers and Informatics, Suez Canal University, Computer Science Department, Ismailia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty Of Computers and Informatics, Suez Canal University, Computer Science Department, Ismailia, Egypt","institution_ids":["https://openalex.org/I114794399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060147826","display_name":"M. A. Makhlouf","orcid":"https://orcid.org/0000-0002-8854-4912"},"institutions":[{"id":"https://openalex.org/I114794399","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074","country_code":"EG","type":"education","lineage":["https://openalex.org/I114794399"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"M. A. Makhlouf","raw_affiliation_strings":["Faculty Of Computers and Informatics, Suez Canal University, Information Systems Department, Ismailia, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty Of Computers and Informatics, Suez Canal University, Information Systems Department, Ismailia, Egypt","institution_ids":["https://openalex.org/I114794399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011917696"],"corresponding_institution_ids":["https://openalex.org/I114794399"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":1.6081,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84284611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"83","issue":"9","first_page":"27379","last_page":"27409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7388463020324707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6872367858886719},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.49463507533073425},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.49143779277801514},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4877205789089203},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.46167704463005066},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4559817910194397},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4284099340438843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3842068016529083},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.34127867221832275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23321843147277832},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19063234329223633},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.18071216344833374},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13347452878952026}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7388463020324707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872367858886719},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.49463507533073425},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.49143779277801514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4877205789089203},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.46167704463005066},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4559817910194397},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4284099340438843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3842068016529083},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.34127867221832275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23321843147277832},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19063234329223633},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.18071216344833374},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13347452878952026}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-023-16515-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-16515-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-16515-2.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-023-16515-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-16515-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-16515-2.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F6896549162","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386379335.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2025133197","https://openalex.org/W2032843526","https://openalex.org/W2066667210","https://openalex.org/W2103504761","https://openalex.org/W2133135191","https://openalex.org/W2146353910","https://openalex.org/W2411377185","https://openalex.org/W2600156592","https://openalex.org/W2744198280","https://openalex.org/W2746751201","https://openalex.org/W2791983077","https://openalex.org/W2808591023","https://openalex.org/W2912551047","https://openalex.org/W2941167897","https://openalex.org/W3001097135","https://openalex.org/W3016730347","https://openalex.org/W3020146971","https://openalex.org/W3036078711","https://openalex.org/W3036170900","https://openalex.org/W3040984225","https://openalex.org/W3092711945","https://openalex.org/W3096242307","https://openalex.org/W3098868653","https://openalex.org/W3122103149","https://openalex.org/W3125032682","https://openalex.org/W3160079695","https://openalex.org/W4213175882","https://openalex.org/W4308370740","https://openalex.org/W6977726960"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W842936808","https://openalex.org/W3174028392","https://openalex.org/W2000517284","https://openalex.org/W2365318811","https://openalex.org/W2136503713","https://openalex.org/W2375330620","https://openalex.org/W2363755581","https://openalex.org/W2378091429"],"abstract_inverted_index":{"Abstract":[0],"Medical":[1,13,43],"imaging":[2,125],"has":[3],"played":[4],"an":[5,41],"essential":[6],"role":[7],"in":[8,203],"medicine":[9],"and":[10,36,87,131,189,205,248,256],"disease":[11],"diagnosis.":[12],"images":[14,29,54,84,118],"from":[15,30,51],"a":[16,62,114],"single":[17],"modality":[18],"contain":[19,33],"limited":[20],"data":[21,39],"about":[22,40],"the":[23,26,68,75,100,103,108,144,196,251],"organ.":[24,42],"On":[25],"other":[27],"hand,":[28],"different":[31],"modalities":[32],"valuable":[34],"structural":[35],"functio":[37],"nal":[38],"image":[44,96],"fusion":[45,140],"(MIF)":[46],"strategies":[47],"integrate":[48],"complementary":[49],"information":[50,153,157,175],"two":[52],"medical":[53,117],"captured":[55],"using":[56,67,99],"distinct":[57],"modalities.":[58],"This":[59],"paper":[60],"offered":[61],"new":[63],"multimodal":[64],"MIF":[65,213],"approach":[66,198,253],"parameter-adaptive":[69],"pulse-coupled":[70],"neural":[71],"networks":[72],"(PA-PCNN)":[73],"within":[74],"non-subsampled":[76],"contourlet":[77],"transform":[78],"(NSCT).":[79],"The":[80,94,215],"NSCT":[81,104],"decomposes":[82],"those":[83,92],"into":[85],"high-":[86],"low-frequency":[88],"bands.":[89,93],"PA-PCNN":[90],"combines":[91],"fused":[95],"was":[97],"created":[98],"inverse":[101],"of":[102,116],"approach.":[105],"To":[106],"prove":[107],"proposed":[109,145,197,252],"approach\u2019s":[110,146],"performance,":[111,147],"we":[112],"appoint":[113],"variety":[115],"like":[119],"computed":[120],"tomography":[121,134],"(CT),":[122],"magnetic":[123],"resonance":[124],"(MRI),":[126],"single-photon":[127],"emission":[128,133],"CT":[129],"(SPECT),":[130],"positron":[132],"(PET).":[135],"Our":[136],"experiments":[137],"use":[138],"five":[139,211],"metrics":[141],"to":[142],"validate":[143],"such":[148],"as":[149],"entropy":[150,176],"(EN),":[151],"mutual":[152],"(MI),":[154],"weighted":[155],"edge":[156],"(Q":[158,177],"$$^{AB/F}$$":[159,222],"<mml:math":[160,179,223,238],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[161,180,224,239],"<mml:msup>":[162,225],"<mml:mrow/>":[163,182,226,241],"<mml:mrow>":[164,183,227,242],"<mml:mi>A</mml:mi>":[165,228],"<mml:mi>B</mml:mi>":[166,229],"<mml:mo>/</mml:mo>":[167,230],"<mml:mi>F</mml:mi>":[168,231],"</mml:mrow>":[169,185,232,244],"</mml:msup>":[170,233],"</mml:math>":[171,187,234,246],"),":[172,188],"nonlinear":[173],"correlation":[174],"$$_{ncie}$$":[178,237],"<mml:msub>":[181,240],"<mml:mi>ncie</mml:mi>":[184,243],"</mml:msub>":[186,245],"average":[190,216],"gradient":[191],"(AG).":[192],"Outcomes":[193],"show":[194],"that":[195],"achieves":[199],"high":[200],"overall":[201],"performance":[202],"visual":[204],"objective":[206],"characteristics":[207],"when":[208],"compared":[209],"with":[210,250],"well-known":[212],"methods.":[214],"values":[217],"for":[218],"EN,":[219],"MI,":[220],"Q":[221,236],",":[235,247],"AG":[249],"are":[254],"5.2144,3.1282,.6600,.8071,":[255],"8.9874,":[257],"respectively.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}