{"id":"https://openalex.org/W7133834243","doi":"https://doi.org/10.48550/arxiv.2603.03769","title":"DMD-augmented Unpaired Neural Schr\u00f6dinger Bridge for Ultra-Low Field MRI Enhancement","display_name":"DMD-augmented Unpaired Neural Schr\u00f6dinger Bridge for Ultra-Low Field MRI Enhancement","publication_year":2026,"publication_date":"2026-03-04","ids":{"openalex":"https://openalex.org/W7133834243","doi":"https://doi.org/10.48550/arxiv.2603.03769"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.03769","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03769","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.03769","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128134109","display_name":"Youngmin Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kim, Youngmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128199061","display_name":"Jaeyun Shin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shin, Jaeyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128183802","display_name":"Jeongchan Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jeongchan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101578273","display_name":"Taehoon Lee","orcid":"https://orcid.org/0000-0003-2816-4579"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Taehoon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128218742","display_name":"Jaemin Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jaemin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103422335","display_name":"Peter Hsu","orcid":"https://orcid.org/0009-0004-9971-7710"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hsu, Peter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090786767","display_name":"Jelle Veraart","orcid":"https://orcid.org/0000-0003-0781-0420"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Veraart, Jelle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123858219","display_name":"Jong Chul Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Jong Chul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5128134109"],"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.5525000095367432,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.5525000095367432,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.13420000672340393,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.09780000150203705,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.46209999918937683},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.4611000120639801},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45969998836517334},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.45320001244544983},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.44699999690055847},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4311000108718872},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4228000044822693},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.37209999561309814}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5623000264167786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5293999910354614},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.4611000120639801},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.45320001244544983},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.44699999690055847},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4115000069141388},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3449000120162964},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3303000032901764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C186927785","wikidata":"https://www.wikidata.org/wiki/Q374793","display_name":"Unpaired electron","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3066999912261963},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C187309904","wikidata":"https://www.wikidata.org/wiki/Q1365197","display_name":"Field strength","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.25540000200271606},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.03769","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03769","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.03769","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03769","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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Ultra":[0],"Low":[1],"Field":[2],"(64":[3],"mT)":[4],"brain":[5],"MRI":[6],"improves":[7],"accessibility":[8],"but":[9],"suffers":[10],"from":[11],"reduced":[12],"image":[13],"quality":[14],"compared":[15,137],"to":[16,138],"3":[17,24,36],"T.":[18],"As":[19],"paired":[20,135],"64":[21,33],"mT":[22,34],"-":[23],"T":[25,37],"scans":[26],"are":[27],"scarce,":[28],"we":[29,64,88],"propose":[30],"an":[31,92,117],"unpaired":[32,127,139],"$\\rightarrow$":[35],"translation":[38],"framework":[39,115],"that":[40,98],"enhances":[41],"realism":[42,119,125],"while":[43,129],"preserving":[44],"anatomy.":[45],"Our":[46],"method":[47],"builds":[48],"upon":[49],"the":[50,66,113,134],"Unpaired":[51],"Neural":[52],"Schr\u00f6dinge":[53],"Bridge":[54],"(UNSB)":[55],"with":[56,69,91],"multi-step":[57],"refinement.":[58],"To":[59,80],"strengthen":[60],"target":[61],"distribution":[62,72,123],"alignment,":[63],"augment":[65],"adversarial":[67],"objective":[68],"DMD2-style":[70],"diffusion-guided":[71],"matching":[73],"using":[74],"a":[75],"frozen":[76],"3T":[77],"diffusion":[78],"teacher.":[79],"explicitly":[81],"constrain":[82],"global":[83],"structure":[84,120],"beyond":[85],"patch-level":[86],"correspondence,":[87],"combine":[89],"PatchNCE":[90],"Anatomical":[93],"Structure":[94],"Preservation":[95],"(ASP)":[96],"regularizer":[97],"enforces":[99],"soft":[100],"foreground":[101],"background":[102],"consistency":[103],"and":[104],"boundary":[105],"aware":[106],"constraints.":[107],"Evaluated":[108],"on":[109,126,133],"two":[110],"disjoint":[111],"cohorts,":[112],"proposed":[114],"achieves":[116],"improved":[118],"trade-off,":[121],"enhancing":[122],"level":[124],"benchmarks":[128],"increasing":[130],"structural":[131],"fidelity":[132],"cohort":[136],"baselines.":[140]},"counts_by_year":[],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2026-03-06T00:00:00"}