{"id":"https://openalex.org/W7161840701","doi":"https://doi.org/10.1109/isbi61048.2026.11515751","title":"Direct Low-Field MRI Super-Resolution Using Undersampled K-Space","display_name":"Direct Low-Field MRI Super-Resolution Using Undersampled K-Space","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161840701","doi":"https://doi.org/10.1109/isbi61048.2026.11515751"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515751","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/A5127955667","display_name":"Daniel Tweneboah Anyimadu","orcid":null},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Tweneboah Anyimadu","raw_affiliation_strings":["University of Exeter,Department of Computer Science,Exeter,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Exeter,Department of Computer Science,Exeter,United Kingdom","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128022184","display_name":"Mohammed M. Abdelsamea","orcid":null},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mohammed M. Abdelsamea","raw_affiliation_strings":["University of Exeter,Department of Computer Science,Exeter,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Exeter,Department of Computer Science,Exeter,United Kingdom","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055467044","display_name":"Ahmed Karam Eldaly","orcid":"https://orcid.org/0000-0002-2266-6992"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ahmed Karam Eldaly","raw_affiliation_strings":["University of Exeter,Department of Computer Science,Exeter,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Exeter,Department of Computer Science,Exeter,United Kingdom","institution_ids":["https://openalex.org/I23923803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23923803"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.536899983882904,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.536899983882904,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.14550000429153442,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.11749999970197678,"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/medical-imaging","display_name":"Medical imaging","score":0.29789999127388},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2328999936580658},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2240000069141388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43070000410079956},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34689998626708984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3343999981880188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33329999446868896},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.2563000023365021},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.2558000087738037},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2328999936580658},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.227400004863739},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2240000069141388}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515751","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":[{"score":0.4799603521823883,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W810436464","https://openalex.org/W1502698477","https://openalex.org/W1901129140","https://openalex.org/W2067214598","https://openalex.org/W2591999117","https://openalex.org/W4296268709","https://openalex.org/W4366256580","https://openalex.org/W4383059059","https://openalex.org/W4404259373","https://openalex.org/W4404746971","https://openalex.org/W4406840661","https://openalex.org/W7155107513"],"related_works":[],"abstract_inverted_index":{"Low-field":[0],"magnetic":[1],"resonance":[2],"imaging":[3,10,21],"(MRI)":[4],"provides":[5],"affordable":[6],"access":[7],"to":[8,87,122],"diagnostic":[9],"but":[11],"suffers":[12],"from":[13,59,113,145],"prolonged":[14],"acquisition":[15],"and":[16,33,79],"limited":[17],"image":[18,34,103,119],"quality.":[19],"Accelerated":[20],"can":[22],"be":[23],"achieved":[24],"with":[25],"<tex":[26,62,69,84,100,115,124,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[27,63,70,85,101,116,125,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$k$</tex>-space":[28,71,86,117,126],"undersampling,":[29],"while":[30],"super-resolution":[31],"(SR)":[32],"quality":[35,120],"transfer":[36],"(IQT)":[37],"methods":[38],"typically":[39],"rely":[40],"on":[41,93],"spatial-domain":[42,109],"post-processing.":[43],"In":[44],"this":[45,134],"work,":[46],"we":[47],"propose":[48],"a":[49,68],"novel":[50],"framework":[51],"for":[52],"reconstructing":[53],"highfield":[54],"MR":[55],"like":[56],"images":[57],"directly":[58,144],"undersampled":[60,83,114,146],"low-field":[61,94,141],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$k$</tex>-space.":[64,149],"Our":[65],"approach":[66],"employs":[67],"dual":[72],"channel":[73],"UNet":[74],"that":[75,98,139],"processes":[76],"the":[77,107,129,136],"real":[78],"imaginary":[80],"components":[81],"of":[82,131],"restore":[88],"missing":[89],"frequency":[90],"content.":[91],"Experiments":[92],"brain":[95],"MRI":[96,142],"demonstrate":[97],"our":[99,132],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$k$</tex>-space-driven":[102],"enhancement":[104],"consistently":[105],"outperforms":[106],"counterpart":[108],"method.":[110],"Furthermore,":[111],"reconstructions":[112],"achieve":[118],"comparable":[121],"full":[123],"acquisitions.":[127],"To":[128],"best":[130],"knowledge,":[133],"is":[135],"first":[137],"work":[138],"investigates":[140],"SR/IQT":[143]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-05-21T00:00:00"}