{"id":"https://openalex.org/W7089280553","doi":"https://doi.org/10.1007/978-3-032-08330-2_1","title":"Comparing XAI Explanations and\u00a0Synthetic Data Augmentation Strategies in\u00a0Neuroimaging AI","display_name":"Comparing XAI Explanations and\u00a0Synthetic Data Augmentation Strategies in\u00a0Neuroimaging AI","publication_year":2025,"publication_date":"2025-10-13","ids":{"openalex":"https://openalex.org/W7089280553","doi":"https://doi.org/10.1007/978-3-032-08330-2_1"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-08330-2_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08330-2_1","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08330-2_1.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08330-2_1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Danilo Danese","orcid":null},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Danilo Danese","raw_affiliation_strings":["Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Giuseppe Fasano","orcid":null},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Fasano","raw_affiliation_strings":["Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Angela Lombardi","orcid":null},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Angela Lombardi","raw_affiliation_strings":["Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eugenio Di Sciascio","orcid":null},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eugenio Di Sciascio","raw_affiliation_strings":["Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tommaso Di Noia","orcid":null},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tommaso Di Noia","raw_affiliation_strings":["Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Politecnico di Bari, 70125, Bari, BA, Italy","institution_ids":["https://openalex.org/I68618741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68618741"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75626902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13229","display_name":"Gothic Literature and Media Analysis","score":0.19040000438690186,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13229","display_name":"Gothic Literature and Media Analysis","score":0.19040000438690186,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10214","display_name":"Psychotherapy Techniques and Applications","score":0.09160000085830688,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12889","display_name":"Psychoanalysis, Philosophy, and Politics","score":0.06620000302791595,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9775000214576721},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.7705000042915344},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5062999725341797},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.44530001282691956},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43529999256134033},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4205000102519989},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.41359999775886536}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9775000214576721},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.7705000042915344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6503000259399414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100999712944031},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5342000126838684},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5062999725341797},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.41359999775886536},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3813999891281128},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3070000112056732}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-08330-2_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08330-2_1","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08330-2_1.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-032-08330-2_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08330-2_1","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08330-2_1.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5011788010597229,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G8106236380","display_name":"Israel Night of Science","funder_award_id":"200197","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7089280553.pdf","grobid_xml":"https://content.openalex.org/works/W7089280553.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1991181258","https://openalex.org/W2105824687","https://openalex.org/W2123983635","https://openalex.org/W2132791018","https://openalex.org/W2168508521","https://openalex.org/W2336525064","https://openalex.org/W2533800772","https://openalex.org/W2618530766","https://openalex.org/W2766141193","https://openalex.org/W2800788706","https://openalex.org/W2890139949","https://openalex.org/W2954996726","https://openalex.org/W2961560364","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W2992511782","https://openalex.org/W3010138595","https://openalex.org/W3017066732","https://openalex.org/W3035398589","https://openalex.org/W3089258874","https://openalex.org/W3092783643","https://openalex.org/W3149253096","https://openalex.org/W3171183426","https://openalex.org/W3183198896","https://openalex.org/W3202476286","https://openalex.org/W4206370218","https://openalex.org/W4286687906","https://openalex.org/W4296182523","https://openalex.org/W4303980276","https://openalex.org/W4312749295","https://openalex.org/W4312933868","https://openalex.org/W4323923206","https://openalex.org/W4324155120","https://openalex.org/W4366262984","https://openalex.org/W4381848566","https://openalex.org/W4388283039","https://openalex.org/W4389990655","https://openalex.org/W4396742831","https://openalex.org/W4403029759","https://openalex.org/W4403204258","https://openalex.org/W4403456916","https://openalex.org/W4405543137"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Brain":[1],"age,":[2],"a":[3,71,75,86,94],"biomarker":[4],"of":[5,16,45],"neurological":[6],"health,":[7],"is":[8,99,108],"widely":[9],"used":[10],"in":[11,26,56,148,168],"neuroimaging":[12],"for":[13,61,130,174],"early":[14],"detection":[15],"neurodegenerative":[17],"diseases.":[18],"While":[19],"deep":[20],"learning":[21],"models":[22],"have":[23],"shown":[24],"promise":[25],"brain":[27,62],"age":[28,63,132],"prediction":[29],"from":[30,82],"MRI,":[31],"data":[32,46,91],"imbalance":[33],"and":[34,53,84,118,166],"model":[35,76,87],"interpretability":[36,107,167],"remain":[37],"key":[38],"challenges.":[39],"This":[40],"study":[41],"investigates":[42],"the":[43,162,172],"impact":[44],"augmentation":[47,125,140,176],"(DA)":[48],"on":[49],"both":[50],"predictive":[51,127],"accuracy":[52,165],"explanation":[54,153],"stability":[55],"convolutional":[57],"neural":[58],"networks":[59],"(CNNs)":[60],"prediction.":[64],"We":[65],"compare":[66],"three":[67],"training":[68,157],"strategies:":[69],"(i)":[70],"baseline":[72],"model,":[73],"(ii)":[74],"augmented":[77],"with":[78,89],"real":[79],"MRI":[80],"scans":[81],"OASIS-3,":[83],"(iii)":[85],"trained":[88],"synthetic":[90,124],"generated":[92],"by":[93],"diffusion":[95],"model.":[96],"Model":[97],"performance":[98],"evaluated":[100],"using":[101],"mean":[102],"absolute":[103],"error":[104],"(MAE),":[105],"while":[106,138],"assessed":[109],"through":[110],"Explainable":[111],"AI":[112],"(XAI)":[113],"methods,":[114],"including":[115],"DeepSHAP,":[116],"Grad-CAM,":[117],"Occlusion.":[119],"Our":[120],"findings":[121],"indicate":[122],"that":[123,152],"improves":[126],"accuracy,":[128],"particularly":[129],"underrepresented":[131],"groups":[133],"(individuals":[134],"aged":[135],"40\u201380":[136],"years),":[137],"real-data":[139],"provides":[141],"more":[142],"stable":[143],"feature":[144],"attributions.":[145],"However,":[146],"differences":[147],"XAI":[149],"methods":[150],"suggest":[151],"reliability":[154],"varies":[155],"across":[156],"strategies.":[158],"These":[159],"results":[160],"highlight":[161],"trade-offs":[163],"between":[164],"AI-driven":[169],"neuroimaging,":[170],"emphasizing":[171],"need":[173],"balanced":[175],"strategies":[177],"to":[178],"develop":[179],"clinically":[180],"trustworthy":[181],"models.":[182]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-13T00:00:00"}