{"id":"https://openalex.org/W7161827379","doi":"https://doi.org/10.1109/isbi61048.2026.11515574","title":"Multi-Scale Attention Framework with Transformer Architecture for Explainable Chest X-Ray Report Generation","display_name":"Multi-Scale Attention Framework with Transformer Architecture for Explainable Chest X-Ray Report Generation","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161827379","doi":"https://doi.org/10.1109/isbi61048.2026.11515574"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5136575557","display_name":"Ahmed Bouridane","orcid":null},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ahmed Bouridane","raw_affiliation_strings":["University of Sharjah,Department of Computer Engineering,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sharjah,Department of Computer Engineering,UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012187034","display_name":"Nabil Hezil","orcid":"https://orcid.org/0000-0001-7824-1718"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Nabil Hezil","raw_affiliation_strings":["University of Sharjah,Department of Computer Engineering,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sharjah,Department of Computer Engineering,UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126840260","display_name":"Rifat Hamoudi","orcid":null},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Rifat Hamoudi","raw_affiliation_strings":["College of Medicine, University of Sharjah,UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine, University of Sharjah,UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136611536","display_name":"Somaya Al-Maadeed","orcid":null},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Somaya Al-Maadeed","raw_affiliation_strings":["Qatar University,Department of Computer Science and Engineering,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar University,Department of Computer Science and Engineering,Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133719608","display_name":"Oleg Y. Rogov","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Oleg Y. Rogov","raw_affiliation_strings":["Skolkovo Institute of Science and Technology,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology,Russia","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6658925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.4268999993801117,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.4268999993801117,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.12700000405311584,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.10970000177621841,"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/architecture","display_name":"Architecture","score":0.5841000080108643},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.54830002784729},{"id":"https://openalex.org/keywords/systems-architecture","display_name":"Systems architecture","score":0.3271999955177307},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.23160000145435333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993000268936157},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5841000080108643},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.54830002784729},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3352000117301941},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29030001163482666},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.289000004529953},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.24279999732971191},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.23160000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1895577753","https://openalex.org/W2770165365","https://openalex.org/W2995225687","https://openalex.org/W3104609094","https://openalex.org/W3166845084","https://openalex.org/W4410229364","https://openalex.org/W4415285334","https://openalex.org/W7118880801"],"related_works":[],"abstract_inverted_index":{"Automated":[0],"chest":[1],"X-ray":[2],"(CXR)":[3],"report":[4,36],"generation":[5],"addresses":[6],"the":[7,62],"critical":[8],"shortage":[9],"of":[10],"radiologists":[11],"while":[12,74],"improving":[13],"diagnostic":[14],"efficiency.":[15],"We":[16],"propose":[17],"an":[18],"enhanced":[19],"deep":[20],"learning":[21],"framework":[22,86],"integrating":[23],"multi-scale":[24],"attention":[25,46,77],"mechanisms":[26],"with":[27,42,49],"transformer-based":[28],"architectures":[29],"for":[30,55,91],"clinically":[31],"accurate":[32],"and":[33,44,94],"explainable":[34],"radiology":[35],"generation.":[37,58],"Our":[38],"model":[39],"employs":[40],"EfficientNetB3":[41],"spatial":[43],"channel":[45],"modules,":[47],"coupled":[48],"a":[50],"multi-layer":[51],"transformer":[52],"decoder":[53],"optimized":[54],"medical":[56],"text":[57],"Comprehensive":[59],"experiments":[60],"on":[61],"MIMIC-CXR":[63],"dataset":[64],"demonstrate":[65],"superior":[66],"performance":[67],"(BLEU-1:":[68],"0.418,":[69],"BLEU-4:":[70],"0.195,":[71],"ROUGE-L:":[72],"0.321)":[73],"providing":[75],"interpretable":[76],"visualizations":[78],"highlighting":[79],"diagnostically":[80],"relevant":[81],"regions.":[82],"The":[83],"integrated":[84],"explainability":[85],"makes":[87],"our":[88],"approach":[89],"suitable":[90],"clinical":[92],"deployment":[93],"decision":[95],"support":[96],"systems.":[97]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-21T00:00:00"}