{"id":"https://openalex.org/W4416018187","doi":"https://doi.org/10.48550/arxiv.2511.02938","title":"From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery","display_name":"From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery","publication_year":2025,"publication_date":"2025-11-04","ids":{"openalex":"https://openalex.org/W4416018187","doi":"https://doi.org/10.48550/arxiv.2511.02938"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2511.02938","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.02938","pdf_url":"https://arxiv.org/pdf/2511.02938","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/2511.02938","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120301862","display_name":"Sepideh KhakzadGharamaleki","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"KhakzadGharamaleki, Sepideh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077743201","display_name":"Hassan Rivaz","orcid":"https://orcid.org/0000-0001-5800-3034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rivaz, Hassan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048306885","display_name":"Brandon Helfield","orcid":"https://orcid.org/0000-0002-5846-3361"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Helfield, Brandon","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120301862"],"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9487000107765198,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9487000107765198,"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":0.01119999960064888,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.007400000002235174,"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/spectrogram","display_name":"Spectrogram","score":0.6162999868392944},{"id":"https://openalex.org/keywords/broadband","display_name":"Broadband","score":0.609000027179718},{"id":"https://openalex.org/keywords/upgrade","display_name":"Upgrade","score":0.5565000176429749},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5376999974250793},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4799000024795532},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.47859999537467957},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.44859999418258667},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.384799987077713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353999972343445},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.609000027179718},{"id":"https://openalex.org/C2780615140","wikidata":"https://www.wikidata.org/wiki/Q920419","display_name":"Upgrade","level":2,"score":0.5565000176429749},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5376999974250793},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4799000024795532},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4106000065803528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4104999899864197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38609999418258667},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.384799987077713},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3504999876022339},{"id":"https://openalex.org/C3020798190","wikidata":"https://www.wikidata.org/wiki/Q249998","display_name":"Fractional bandwidth","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.28769999742507935},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2515000104904175},{"id":"https://openalex.org/C3017413879","wikidata":"https://www.wikidata.org/wiki/Q185553","display_name":"Phase difference","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2511.02938","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.02938","pdf_url":"https://arxiv.org/pdf/2511.02938","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.2511.02938","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.02938","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:2511.02938","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.02938","pdf_url":"https://arxiv.org/pdf/2511.02938","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Conventional":[0],"pulse-echo":[1],"ultrasound":[2,126],"suffers":[3],"when":[4],"low-cost":[5],"probes":[6,117],"deliver":[7],"only":[8],"narrow":[9],"fractional":[10],"bandwidths,":[11],"elongating":[12],"pulses":[13],"and":[14,73],"erasing":[15],"high-frequency":[16],"detail.":[17],"We":[18],"address":[19],"this":[20,37],"limitation":[21],"by":[22,65,70],"learning":[23],"a":[24,39,53,89,109],"data-driven":[25],"mapping":[26],"from":[27],"band-limited":[28],"to":[29,76,124],"broadband":[30],"spectrogram":[31],"of":[32,41],"radio-frequency":[33],"(RF)":[34],"lines.":[35],"To":[36],"end,":[38],"variation":[40],"Tiny":[42],"Vision":[43],"Transform":[44],"(ViT)":[45],"auto-encoder":[46],"is":[47],"trained":[48],"on":[49],"simulation":[50],"data":[51],"using":[52],"curriculum-weighted":[54],"loss.":[55],"On":[56],"heterogeneous":[57],"speckle-cyst":[58],"phantoms,":[59],"the":[60,80],"network":[61],"reduces":[62],"image-domain":[63],"MSE":[64],"90":[66],"percent,":[67],"boosts":[68],"PSNR":[69],"6.7":[71],"dB,":[72],"raises":[74],"SSIM":[75],"0.965":[77],"compared":[78],"with":[79,118],"narrow-band":[81,116],"input.":[82],"It":[83],"also":[84],"sharpens":[85],"point-target":[86],"rows":[87],"in":[88,127],"completely":[90],"unseen":[91],"resolution":[92],"phantom,":[93],"demonstrating":[94],"strong":[95],"out-of-distribution":[96],"generalisation":[97],"without":[98],"sacrificing":[99],"frame":[100],"rate":[101],"or":[102],"phase":[103],"information.":[104],"These":[105],"results":[106],"indicate":[107],"that":[108],"purely":[110],"software":[111],"upgrade":[112],"can":[113],"endow":[114],"installed":[115],"broadband-like":[119],"performance,":[120],"potentially":[121],"widening":[122],"access":[123],"high-resolution":[125],"resource-constrained":[128],"settings.":[129]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-07T00:00:00"}