{"id":"https://openalex.org/W4406859141","doi":"https://doi.org/10.1109/ipccc59868.2024.10850401","title":"A Dexterous Hybrid Attention Transformer For MRI Super-resolution Of Brain Tumors","display_name":"A Dexterous Hybrid Attention Transformer For MRI Super-resolution Of Brain Tumors","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4406859141","doi":"https://doi.org/10.1109/ipccc59868.2024.10850401"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc59868.2024.10850401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc59868.2024.10850401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)","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/A5032774792","display_name":"Mingxuan Li","orcid":"https://orcid.org/0009-0006-7883-3303"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxuan Li","raw_affiliation_strings":["Shangdong Artificial Intelligence Institute Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shangdong Artificial Intelligence Institute Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665542","display_name":"Jinbao Li","orcid":"https://orcid.org/0009-0000-7031-4636"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinbao Li","raw_affiliation_strings":["Shangdong Artificial Intelligence Institute Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shangdong Artificial Intelligence Institute Qilu University of Technology (Shandong Academy of Sciences),School of Mathematics and Statistics,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060004793","display_name":"Yingchun Cui","orcid":"https://orcid.org/0000-0002-0098-1449"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingchun Cui","raw_affiliation_strings":["Heilongjiang University,School of Electronic Engineering,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heilongjiang University,School of Electronic Engineering,Harbin,China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9814000129699707,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9814000129699707,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9736999869346619,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.916700005531311,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6176018118858337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5540696978569031},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4105801582336426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3061106204986572},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22205254435539246},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.17551103234291077},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07779553532600403}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6176018118858337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5540696978569031},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4105801582336426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3061106204986572},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22205254435539246},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17551103234291077},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07779553532600403}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc59868.2024.10850401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc59868.2024.10850401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2442117232","https://openalex.org/W2476548250","https://openalex.org/W2902719825","https://openalex.org/W2963125010","https://openalex.org/W3035414587","https://openalex.org/W3207918547","https://openalex.org/W4312938066","https://openalex.org/W4322754158","https://openalex.org/W4384157810","https://openalex.org/W4385764452","https://openalex.org/W4386047745","https://openalex.org/W4386083034","https://openalex.org/W4388199926","https://openalex.org/W6737664043","https://openalex.org/W6738116181","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"High-quality":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"plays":[4],"a":[5,17,83],"leading":[6],"role":[7],"in":[8,31,45,160,167],"the":[9,33,59,65,78,91,98,139,155,161],"diagnosis":[10,55,149],"and":[11,56,64,94,111,123,150,178],"treatment":[12],"of":[13,19,35,49,62,97,141,189],"brain":[14,36,50,106,132,144,192],"tumors.":[15],"Currently,":[16],"series":[18],"Transformer-based":[20],"methods":[21],"such":[22],"as":[23],"Hybrid":[24,114],"Attention":[25,86,115,157],"Transformer":[26,116],"(HAT)":[27],"shows":[28],"good":[29],"results":[30,183],"addressing":[32],"issue":[34],"tumor":[37,145],"MRI":[38,48,108,134,146,194],"super-resolution.":[39],"However,":[40],"researchers":[41],"face":[42],"significant":[43,165],"challenges":[44],"generating":[46,142,190],"high-resolution":[47],"tumors":[51,107,133,193],"for":[52,131,147],"accurate":[53],"disease":[54],"treatment.":[57,151],"Additionally,":[58],"high":[60],"complexity":[61],"models":[63],"substantial":[66],"computational":[67,95],"resources":[68],"required":[69],"further":[70,137],"complicate":[71],"clinical":[72,148],"application.":[73],"In":[74,100,152],"order":[75],"to":[76,89,105,154,196],"address":[77],"above-mentioned":[79],"problems,":[80],"we":[81,102],"propose":[82,112],"new":[84],"Channel":[85,156],"Block":[87,158],"(DCAB)":[88],"decrease":[90],"complexity,":[92],"parameters,":[93,171],"cost":[96],"model.":[99],"addition,":[101],"employ":[103],"DCAB":[104,163],"super-resolution":[109,135],"task":[110],"Dexterous":[113],"(DHAT).":[117],"DHAT":[118,186],"combines":[119],"self-attention,":[120],"channel":[121],"attention":[122],"overlapping":[124],"cross-attention,":[125],"which":[126],"can":[127],"be":[128],"better":[129],"suited":[130],"tasks,":[136],"solving":[138],"problem":[140],"higher-resolution":[143,191],"comparison":[153],"(CAB)":[159],"HAT,":[162],"demonstrates":[164],"improvements":[166],"several":[168,197],"key":[169],"aspects:":[170],"floating-point":[172],"operations,":[173],"latency,":[174],"frames":[175],"per":[176],"second,":[177],"multiply-accumulate":[179],"operations.":[180],"Furthermore,":[181],"experimental":[182],"indicate":[184],"that":[185],"is":[187],"capable":[188],"compared":[195],"existing":[198],"reconstruction":[199],"methods.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
