{"id":"https://openalex.org/W4416223662","doi":"https://doi.org/10.48550/arxiv.2511.09366","title":"Augment to Augment: Diverse Augmentations Enable Competitive Ultra-Low-Field MRI Enhancement","display_name":"Augment to Augment: Diverse Augmentations Enable Competitive Ultra-Low-Field MRI Enhancement","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416223662","doi":"https://doi.org/10.48550/arxiv.2511.09366"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2511.09366","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.09366","pdf_url":"https://arxiv.org/pdf/2511.09366","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.09366","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120352507","display_name":"Felix F Zimmermann","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zimmermann, Felix F","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5120352507"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":0.4072999954223633,"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":0.4072999954223633,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.07199999690055847,"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/T10958","display_name":"Ultrasound and Hyperthermia Applications","score":0.05550000071525574,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/augment","display_name":"Augment","score":0.7583000063896179},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5841000080108643},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4819999933242798},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.37369999289512634},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3619999885559082},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.352400004863739},{"id":"https://openalex.org/keywords/tilt","display_name":"Tilt (camera)","score":0.33570000529289246},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.33009999990463257}],"concepts":[{"id":"https://openalex.org/C2779070825","wikidata":"https://www.wikidata.org/wiki/Q760434","display_name":"Augment","level":2,"score":0.7583000063896179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6466000080108643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6154000163078308},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5841000080108643},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4819999933242798},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46369999647140503},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2921000123023987},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26249998807907104}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2511.09366","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.09366","pdf_url":"https://arxiv.org/pdf/2511.09366","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2511.09366","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.09366","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.09366","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.09366","pdf_url":"https://arxiv.org/pdf/2511.09366","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5169014453","display_name":null,"funder_award_id":"372486779","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8963029689","display_name":null,"funder_award_id":"SFB1340","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416223662.pdf","grobid_xml":"https://content.openalex.org/works/W4416223662.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ultra-low-field":[0],"(ULF)":[1],"MRI":[2],"promises":[3],"broader":[4],"accessibility":[5],"but":[6],"suffers":[7],"from":[8,20],"low":[9],"signal-to-noise":[10],"ratio":[11],"(SNR),":[12],"reduced":[13],"spatial":[14],"resolution,":[15],"and":[16,97],"contrasts":[17],"that":[18,72],"deviate":[19],"high-field":[21,31,80],"standards.":[22],"Image-to-image":[23],"translation":[24],"can":[25],"map":[26],"ULF":[27,67],"images":[28],"to":[29],"a":[30,62],"appearance,":[32],"yet":[33],"efficacy":[34],"is":[35,109],"limited":[36],"by":[37,89,99],"scarce":[38],"paired":[39,49],"training":[40],"data.":[41],"Working":[42],"within":[43],"the":[44,93,100,104],"ULF-EnC":[45],"challenge":[46],"constraints":[47],"(50":[48],"3D":[50],"volumes;":[51],"no":[52],"external":[53],"data),":[54],"we":[55],"study":[56],"how":[57],"task-adapted":[58],"data":[59],"augmentations":[60],"impact":[61],"standard":[63],"deep":[64],"model":[65],"for":[66],"image":[68],"enhancement.":[69],"We":[70],"show":[71],"strong,":[73],"diverse":[74],"augmentations,":[75],"including":[76],"auxiliary":[77],"tasks":[78],"on":[79,92,103],"data,":[81],"substantially":[82],"improve":[83],"fidelity.":[84],"Our":[85],"submission":[86],"ranked":[87],"third":[88],"brain-masked":[90],"SSIM":[91],"public":[94],"validation":[95],"leaderboard":[96],"fourth":[98],"official":[101],"score":[102],"final":[105],"test":[106],"leaderboard.":[107],"Code":[108],"available":[110],"at":[111],"https://github.com/fzimmermann89/low-field-enhancement.":[112]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-11-14T00:00:00"}