{"id":"https://openalex.org/W4414229197","doi":"https://doi.org/10.1109/tetci.2025.3607396","title":"Multi-Scale and Multi-Contrast Magnetic Resonance Image Super-Resolution Reconstruction","display_name":"Multi-Scale and Multi-Contrast Magnetic Resonance Image Super-Resolution Reconstruction","publication_year":2025,"publication_date":"2025-09-16","ids":{"openalex":"https://openalex.org/W4414229197","doi":"https://doi.org/10.1109/tetci.2025.3607396"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2025.3607396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3607396","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5101985417","display_name":"Xuejin Wang","orcid":"https://orcid.org/0000-0001-5772-2774"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuejin Wang","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033793153","display_name":"Zhenhui Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhui Zhong","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114859891","display_name":"Leilei Huang","orcid":"https://orcid.org/0009-0009-7342-5230"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Huang","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009381940","display_name":"Jinbin Hu","orcid":"https://orcid.org/0000-0003-1610-8537"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinbin Hu","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101985417"],"corresponding_institution_ids":["https://openalex.org/I83791580"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35788001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":"913","last_page":"925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9925000071525574,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6036999821662903},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5296000242233276},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.527899980545044},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.505299985408783},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49549999833106995},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4569999873638153},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.4507000148296356}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7583000063896179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6966999769210815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6061000227928162},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6036999821662903},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.527899980545044},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.505299985408783},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.4507000148296356},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4433000087738037},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.43549999594688416},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C3020205268","wikidata":"https://www.wikidata.org/wiki/Q1038886","display_name":"Imaging technique","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2025.3607396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3607396","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1994383327","https://openalex.org/W2085645375","https://openalex.org/W2121058967","https://openalex.org/W2122905512","https://openalex.org/W2133665775","https://openalex.org/W2526558307","https://openalex.org/W2572967103","https://openalex.org/W2593412631","https://openalex.org/W2782945719","https://openalex.org/W2808495892","https://openalex.org/W2866634454","https://openalex.org/W2891378267","https://openalex.org/W2897421580","https://openalex.org/W2902828227","https://openalex.org/W2906473494","https://openalex.org/W2949402056","https://openalex.org/W2952773607","https://openalex.org/W2963372104","https://openalex.org/W2963774720","https://openalex.org/W2966737464","https://openalex.org/W3028279406","https://openalex.org/W3035302306","https://openalex.org/W3183434090","https://openalex.org/W3202223141","https://openalex.org/W3202624106","https://openalex.org/W3207918547","https://openalex.org/W4210361933","https://openalex.org/W4282976788","https://openalex.org/W4285262309","https://openalex.org/W4287020683","https://openalex.org/W4296057623","https://openalex.org/W4297847054","https://openalex.org/W4306174033","https://openalex.org/W4312233661","https://openalex.org/W4312973158","https://openalex.org/W4319300887","https://openalex.org/W4376605039","https://openalex.org/W4383751207","https://openalex.org/W4386212327","https://openalex.org/W4387211264","https://openalex.org/W4387211403","https://openalex.org/W4387735921","https://openalex.org/W4387955774","https://openalex.org/W4388283754","https://openalex.org/W4390575607","https://openalex.org/W4390872911","https://openalex.org/W4390873327","https://openalex.org/W4390873495","https://openalex.org/W4391783171","https://openalex.org/W4392007289","https://openalex.org/W4393150379","https://openalex.org/W4402753589","https://openalex.org/W4403309481","https://openalex.org/W4404901735"],"related_works":[],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2,28],"(MRI)":[3],"can":[4,40],"clearly":[5],"show":[6],"the":[7,24,49,55,60,66,92,101,119,125,143,149,175,185,199],"structures":[8,69],"of":[9,33,51,59,95,104,148,182],"normal":[10],"and":[11,30,73,83,124,129,132,145,168,177,192,205],"pathological":[12],"tissues,":[13],"which":[14,47,90,196],"helps":[15],"doctors":[16],"to":[17,23,98,114,140,164],"make":[18],"accurate":[19],"diagnoses.":[20],"However,":[21],"due":[22],"limited":[25,45],"hardware,":[26],"special":[27],"principles,":[29],"involuntary":[31],"movements":[32],"patients,":[34],"only":[35],"low-resolution":[36],"(LR)":[37],"MRI":[38,63,85,122],"images":[39,64,97],"be":[41],"acquired":[42],"within":[43],"a":[44,81,109,130,153,166],"time,":[46],"increase":[48],"probability":[50],"misdiagnosis.":[52],"To":[53],"address":[54],"issue,":[56],"in":[57,100,180],"view":[58],"fact":[61],"that":[62,198],"with":[65],"same":[67],"anatomical":[68],"but":[70],"different":[71],"contrasts":[72],"resolutions":[74],"are":[75],"practically":[76],"available,":[77],"this":[78],"paper":[79],"proposes":[80],"multi-scale":[82,116],"multi-contrast":[84,206],"super-resolution":[86],"(SR)":[87],"reconstruction":[88,103,208],"method,":[89],"utilizes":[91],"complementary":[93],"information":[94,147],"auxiliary":[96,127,150],"assist":[99],"SR":[102,207],"target":[105,120,170],"LR":[106,121],"images.":[107],"Concretely,":[108],"dual-branch":[110],"structure":[111],"is":[112,138,162],"adopted":[113],"extract":[115],"features":[117],"from":[118],"image":[123],"associated":[126],"image,":[128],"Multi-scale":[131],"Multi-receptive-field":[133],"Attention":[134],"Fusion":[135],"Block":[136],"(MMAFB)":[137],"designed":[139],"fully":[141],"utilize":[142],"texture":[144],"edge":[146],"image.":[151,171],"Furthermore,":[152],"Progressive":[154],"Up-sampling":[155],"based":[156],"Multi-stage":[157],"Feature":[158],"Learning":[159],"Module":[160],"(PUMFLM)":[161],"used":[163],"produce":[165],"high-quality":[167],"high-resolution":[169],"Experimental":[172],"results":[173],"on":[174],"IXI":[176],"BraTS19":[178],"datasets":[179],"terms":[181],"PSNR":[183],"surpass":[184],"second-best":[186],"method":[187,201],"by":[188],"approximately":[189],"0.55":[190],"dB":[191],"1.17":[193],"dB,":[194],"respectively,":[195],"demonstrates":[197],"proposed":[200],"outperforms":[202],"existing":[203],"single-contrast":[204],"methods.":[209]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}