{"id":"https://openalex.org/W4408193686","doi":"https://doi.org/10.1007/s00521-025-11059-y","title":"MCI-GAN: a novel GAN with identity blocks inspired by menstrual cycle behavior for missing pixel imputation","display_name":"MCI-GAN: a novel GAN with identity blocks inspired by menstrual cycle behavior for missing pixel imputation","publication_year":2025,"publication_date":"2025-03-06","ids":{"openalex":"https://openalex.org/W4408193686","doi":"https://doi.org/10.1007/s00521-025-11059-y"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-025-11059-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11059-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11059-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing 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/s00521-025-11059-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033159072","display_name":"Hanaa Salem","orcid":"https://orcid.org/0000-0002-8714-567X"},"institutions":[{"id":"https://openalex.org/I882248123","display_name":"Delta University for Science and Technology","ror":"https://ror.org/0481xaz04","country_code":"EG","type":"education","lineage":["https://openalex.org/I882248123"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Hanaa Salem Marie","raw_affiliation_strings":["Faculty of Artificial Intelligence, Delta University for Science and Technology, Gamasa, 35712, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-8714-567X","affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence, Delta University for Science and Technology, Gamasa, 35712, Egypt","institution_ids":["https://openalex.org/I882248123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063912941","display_name":"Mostafa Elbaz","orcid":null},"institutions":[{"id":"https://openalex.org/I130309236","display_name":"Kafrelsheikh University","ror":"https://ror.org/04a97mm30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130309236"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mostafa Elbaz","raw_affiliation_strings":["Department of Computer Science, Faculty of Computers and Informatics, Kafrelsheikh University, Kafrelsheikh, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Informatics, Kafrelsheikh University, Kafrelsheikh, Egypt","institution_ids":["https://openalex.org/I130309236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033159072"],"corresponding_institution_ids":["https://openalex.org/I882248123"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":14.7322,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.99086726,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"37","issue":"16","first_page":"9669","last_page":"9703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/imputation","display_name":"Imputation (statistics)","score":0.7741453051567078},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.630610466003418},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.581752598285675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5674055218696594},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.5071594715118408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37008601427078247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22487172484397888}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7741453051567078},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.630610466003418},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.581752598285675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5674055218696594},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.5071594715118408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37008601427078247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22487172484397888}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-025-11059-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11059-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11059-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-025-11059-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11059-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11059-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408193686.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2962932373","https://openalex.org/W2964101377","https://openalex.org/W3006169930","https://openalex.org/W3024756171","https://openalex.org/W3034513922","https://openalex.org/W3043714757","https://openalex.org/W3094850446","https://openalex.org/W3127284993","https://openalex.org/W3131048420","https://openalex.org/W3171283073","https://openalex.org/W3191271827","https://openalex.org/W3199270857","https://openalex.org/W3207865986","https://openalex.org/W3212928679","https://openalex.org/W4210244818","https://openalex.org/W4285733526","https://openalex.org/W4292546383","https://openalex.org/W4308351890","https://openalex.org/W4308448228","https://openalex.org/W4312898719","https://openalex.org/W4324134694","https://openalex.org/W4367666404","https://openalex.org/W4379929653","https://openalex.org/W4386025626","https://openalex.org/W4388753303","https://openalex.org/W4388914362","https://openalex.org/W4390120075","https://openalex.org/W4403366835","https://openalex.org/W6601121565","https://openalex.org/W6601174010","https://openalex.org/W6601750432"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3],"MCI-GAN,":[4],"a":[5,51,164,239],"novel":[6,52],"menstrual":[7,40,63],"cycle":[8,64],"imputation":[9,25,117,150,196,245],"(MCI)":[10],"and":[11,74,110,115,154,174,187,216,235],"generative":[12],"adversarial":[13],"network":[14,99],"(GAN)":[15],"framework":[16,162],"designed":[17],"to":[18,58,85,105,112,144,172],"address":[19],"the":[20,31,35,39,68,87,91,98,102,131,142,161,170,195,224],"challenge":[21],"of":[22,34,90,118,180,200,233],"missing":[23,119,243],"pixel":[24,134,244],"in":[26,231,246],"medical":[27,207,247],"images.":[28,219],"Inspired":[29],"by":[30],"intelligent":[32],"behavior":[33],"endometrial":[36],"lining":[37],"during":[38,194],"cycle,":[41],"our":[42],"method":[43,226],"introduces":[44],"four":[45],"key":[46],"innovations.":[47],"First,":[48],"we":[49,122],"propose":[50],"metaheuristic":[53],"algorithm":[54],"that":[55,67,128,183,223],"assigns":[56],"weights":[57],"surround":[59],"pixels":[60,70],"based":[61,136],"on":[62,137,146],"behavior,":[65],"ensuring":[66,182],"imputed":[69],"maintain":[71],"structural":[72,189,236],"integrity":[73],"coherence":[75],"with":[76],"their":[77],"neighbors,":[78],"thus":[79],"preserving":[80],"overall":[81,157],"image":[82,139,158],"quality.":[83],"Second,":[84],"enhance":[86],"learning":[88],"capability":[89],"GAN,":[92],"identity":[93],"blocks":[94],"are":[95,191],"integrated":[96],"into":[97],"architecture,":[100],"improving":[101],"network\u2019s":[103],"ability":[104],"capture":[106],"complex":[107],"spatial":[108],"relationships":[109],"leading":[111],"more":[113],"accurate":[114,149],"consistent":[116],"pixels.":[120],"Third,":[121],"introduce":[123],"an":[124],"adaptive":[125],"loss":[126],"function":[127],"dynamically":[129],"adjusts":[130],"penalty":[132],"for":[133,242],"discrepancies":[135],"local":[138],"context,":[140],"allowing":[141],"model":[143],"focus":[145],"areas":[147],"where":[148],"is":[151,202],"most":[152],"critical":[153],"thereby":[155],"enhancing":[156],"fidelity.":[159],"Fourth,":[160],"incorporates":[163],"multi-scale":[165],"feature":[166],"extraction":[167],"mechanism,":[168],"enabling":[169],"GAN":[171],"process":[173],"combine":[175],"information":[176],"at":[177],"various":[178],"levels":[179],"detail,":[181],"both":[184],"fine-grained":[185],"textures":[186],"larger":[188],"patterns":[190],"accurately":[192],"captured":[193],"process.":[197],"The":[198],"efficacy":[199],"MCI-GAN":[201],"demonstrated":[203],"across":[204],"three":[205],"diverse":[206],"imaging":[208,213],"datasets:":[209],"mammograms,":[210],"magnetic":[211],"resonance":[212],"(MRI)":[214],"scans,":[215],"skin":[217],"lesion":[218],"Our":[220],"results":[221],"show":[222],"proposed":[225],"significantly":[227],"outperforms":[228],"existing":[229],"approaches":[230],"terms":[232],"accuracy":[234],"coherence,":[237],"offering":[238],"robust":[240],"solution":[241],"imaging.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}