{"id":"https://openalex.org/W7162410458","doi":"https://doi.org/10.48550/arxiv.2605.24625","title":"ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging","display_name":"ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging","publication_year":2026,"publication_date":"2026-05-23","ids":{"openalex":"https://openalex.org/W7162410458","doi":"https://doi.org/10.48550/arxiv.2605.24625"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.24625","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.24625","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.24625","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114674492","display_name":"Toufiq Musah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Musah, Toufiq","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083644845","display_name":"Salvatore Calcagno","orcid":"https://orcid.org/0000-0001-7128-9663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Calcagno, Salvatore","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033378482","display_name":"Federica Proietto Salanitri","orcid":"https://orcid.org/0000-0002-6122-4249"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salanitri, Federica Proietto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137047876","display_name":"Xiaomeng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiaomeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083450354","display_name":"Maruf Adewole","orcid":"https://orcid.org/0000-0002-6562-2834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adewole, Maruf","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077506787","display_name":"Marawan Elbatel","orcid":"https://orcid.org/0009-0008-5021-4281"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elbatel, Marawan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.4632999897003174,"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":0.4632999897003174,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.31709998846054077,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.09120000153779984,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/neuroimaging","display_name":"Neuroimaging","score":0.682200014591217},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4659999907016754},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4205000102519989},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3903000056743622},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.3898000121116638},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37610000371932983},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3425999879837036},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.32690000534057617}],"concepts":[{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.682200014591217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734000205993652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5616999864578247},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4659999907016754},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4205000102519989},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.3898000121116638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C2992283565","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion imaging","level":4,"score":0.32330000400543213},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30410000681877136},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3034000098705292},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2653999924659729},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.24625","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.24625","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.24625","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.24625","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41865429282188416}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ultra-low-field":[0],"(ULF)":[1],"MRI":[2,140],"offers":[3],"portable":[4],"and":[5,14,80,86,111,116,134,148],"accessible":[6],"neuroimaging":[7],"but":[8],"suffers":[9],"from":[10,51],"reduced":[11],"signal-to-noise":[12],"ratio":[13],"limited":[15],"spatial":[16],"resolution":[17],"compared":[18],"to":[19,54,101],"high-field":[20],"(HF)":[21],"systems.":[22],"Acquiring":[23],"paired":[24,57,129,144],"ULF-HF":[25],"data":[26],"for":[27,137],"supervised":[28],"enhancement":[29],"is":[30,74],"often":[31],"difficult,":[32],"particularly":[33],"in":[34,119],"resource-limited":[35],"settings.":[36],"We":[37],"introduce":[38],"ULF-Synth,":[39],"a":[40,61,120,132],"framework":[41],"that":[42,65,127],"combines:":[43],"(i)":[44],"acquisition-based":[45],"synthesis":[46],"of":[47,68],"realistic":[48],"ULF":[49,104,139],"images":[50],"HF":[52],"volumes":[53],"create":[55],"large-scale":[56],"training":[58],"data,":[59,95],"(ii)":[60],"spatial-frequency":[62],"domain":[63],"objective":[64],"prioritizes":[66],"recovery":[67],"high-frequency":[69],"anatomical":[70],"detail.":[71],"This":[72],"formulation":[73],"architecture-agnostic,":[75],"consistently":[76],"improving":[77,106],"structural":[78],"similarity":[79],"perceptual":[81],"fidelity":[82],"across":[83],"encoder-decoder,":[84],"adversarial,":[85],"diffusion-based":[87],"translation":[88],"models.":[89],"When":[90],"trained":[91],"exclusively":[92],"on":[93],"synthetic":[94,128],"the":[96],"resulting":[97],"models":[98],"generalize":[99],"effectively":[100],"real":[102,143],"64mT":[103],"acquisitions,":[105],"downstream":[107],"multiclass":[108],"brain":[109],"segmentation":[110],"achieving":[112],"higher":[113],"radiologist":[114],"preference":[115],"diagnostic":[117],"acceptability":[118],"blinded":[121],"reader":[122],"study.":[123],"These":[124],"findings":[125],"demonstrate":[126],"supervision":[130],"provides":[131],"practical":[133],"scalable":[135],"pathway":[136],"enhancing":[138],"without":[141],"requiring":[142],"acquisitions.":[145],"Code,":[146],"Models":[147],"Dataset:":[149],"https://github.com/toufiqmusah/ULF-Synth":[150]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-27T00:00:00"}