{"id":"https://openalex.org/W7125951289","doi":"https://doi.org/10.1109/smc58881.2025.11343163","title":"DMSA-Net: Deformable Multi-Head Self-Attention Network for Unsupervised Medical Image Registration","display_name":"DMSA-Net: Deformable Multi-Head Self-Attention Network for Unsupervised Medical Image Registration","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125951289","doi":"https://doi.org/10.1109/smc58881.2025.11343163"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5124139213","display_name":"Linxiao Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linxiao Zheng","raw_affiliation_strings":["Sichuan Normal University,College of Computer Science,Chengdu,China,610101"],"affiliations":[{"raw_affiliation_string":"Sichuan Normal University,College of Computer Science,Chengdu,China,610101","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123912124","display_name":"Nan Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Mu","raw_affiliation_strings":["Sichuan Normal University,College of Computer Science,Chengdu,China,610101"],"affiliations":[{"raw_affiliation_string":"Sichuan Normal University,College of Computer Science,Chengdu,China,610101","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124129764","display_name":"Xiaoning Li","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning Li","raw_affiliation_strings":["Sichuan Normal University,College of Computer Science,Chengdu,China,610101"],"affiliations":[{"raw_affiliation_string":"Sichuan Normal University,College of Computer Science,Chengdu,China,610101","institution_ids":["https://openalex.org/I63354593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124139213"],"corresponding_institution_ids":["https://openalex.org/I63354593"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71912057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2431","last_page":"2436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.6603000164031982,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.6603000164031982,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.11429999768733978,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.04729999974370003,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7829999923706055},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.583899974822998},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.482699990272522},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4514000117778778},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42739999294281006},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.366100013256073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.353300005197525}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7829999923706055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739300012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.722000002861023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.651199996471405},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.583899974822998},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4514000117778778},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3343000113964081},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27730000019073486},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.27549999952316284},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":25,"referenced_works":["https://openalex.org/W9540265","https://openalex.org/W1970928383","https://openalex.org/W2083099567","https://openalex.org/W2115167851","https://openalex.org/W2133287637","https://openalex.org/W2158167845","https://openalex.org/W2170167891","https://openalex.org/W2344328023","https://openalex.org/W2601564443","https://openalex.org/W2608822622","https://openalex.org/W2793705991","https://openalex.org/W2891631795","https://openalex.org/W3092446792","https://openalex.org/W3136762441","https://openalex.org/W3138516171","https://openalex.org/W3165578810","https://openalex.org/W4226497331","https://openalex.org/W4312960790","https://openalex.org/W4381597786","https://openalex.org/W4387225895","https://openalex.org/W4391174985","https://openalex.org/W4399046040","https://openalex.org/W4402727337","https://openalex.org/W4403685736","https://openalex.org/W4404212754"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"image":[1,64,175],"registration":[2,28,65],"is":[3],"fundamental":[4],"to":[5,32,51,125],"clinical":[6],"analysis,":[7],"enabling":[8],"structural":[9],"comparison":[10],"and":[11,38,123,140,157],"the":[12,120,143,168],"detection":[13],"of":[14,96,145,170],"pathological":[15],"changes":[16],"across":[17],"subjects":[18],"or":[19],"time.":[20],"Despite":[21],"advances":[22],"in":[23,34,117,151],"Transformer-based":[24],"models,":[25],"accurate":[26],"3D":[27,52,70,92],"remains":[29],"challenging":[30],"due":[31],"difficulties":[33],"capturing":[35],"multi-scale":[36,97],"deformations":[37,98],"multi-directional":[39],"spatial":[40],"correlations.":[41],"Moreover,":[42],"standard":[43],"Transformer":[44],"architectures":[45],"are":[46],"computationally":[47],"expensive":[48],"when":[49],"applied":[50,116],"volumes.":[53],"To":[54],"address":[55],"these":[56],"issues,":[57],"we":[58,76],"propose":[59],"DMSA-Net,":[60,146],"an":[61],"unsupervised":[62],"medical":[63,174],"network":[66],"featuring":[67],"a":[68,78,106,148,158],"novel":[69],"Deformable":[71,81],"Multi-Head":[72],"Self-Attention":[73],"mechanism.":[74],"Specifically,":[75],"design":[77],"Shifted":[79],"Window":[80],"Attention":[82],"(SWDA)":[83],"module":[84,110],"that":[85,111],"dynamically":[86],"adjusts":[87],"key-value":[88],"pairs":[89],"within":[90],"localized":[91],"windows,":[93],"enhancing":[94],"modeling":[95],"while":[99],"ensuring":[100],"computational":[101],"efficiency.":[102],"We":[103],"also":[104],"introduce":[105],"Multi-directional":[107],"Convolution":[108],"(MC)":[109],"uses":[112],"large":[113],"convolution":[114],"kernels":[115],"parallel":[118],"along":[119],"height,":[121],"width":[122],"depth":[124],"capture":[126],"spatially":[127],"diverse":[128],"deformation":[129],"features.":[130],"Experiments":[131],"on":[132,163],"two":[133],"public":[134],"brain":[135],"MRI":[136],"datasets":[137],"(e.g.,":[138],"LPBA":[139],"IXI)":[141],"demonstrate":[142],"superiority":[144],"showing":[147],"4.1%":[149],"improvement":[150],"Dice":[152],"similarity":[153],"coefficient":[154],"over":[155,161],"VoxelMorph":[156],"2.1%":[159],"gain":[160],"TransMorph":[162],"LPBA.":[164],"These":[165],"results":[166],"confirm":[167],"effectiveness":[169],"our":[171],"approach":[172],"for":[173],"registration.":[176]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
