{"id":"https://openalex.org/W2898683117","doi":"https://doi.org/10.1109/embc.2018.8513411","title":"Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization","display_name":"Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2898683117","doi":"https://doi.org/10.1109/embc.2018.8513411","mag":"2898683117","pmid":"https://pubmed.ncbi.nlm.nih.gov/30441491"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8513411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5013826136","display_name":"Amirhossein Khalilian-Gourtani","orcid":"https://orcid.org/0000-0003-1376-9583"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amirhossein Khalilian-Gourtani","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319039","display_name":"Yao Wang","orcid":"https://orcid.org/0000-0003-3199-3802"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Wang","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076167293","display_name":"Jonathan Mamou","orcid":"https://orcid.org/0000-0002-9412-165X"},"institutions":[{"id":"https://openalex.org/I4210132419","display_name":"Riverside Research Institute","ror":"https://ror.org/02tvg0w73","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210132419"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Mamou","raw_affiliation_strings":["Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY, USA","institution_ids":["https://openalex.org/I4210132419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013826136"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46164664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"5113","last_page":"5116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9976999759674072,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6347688436508179},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5961236953735352},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5763046741485596},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.5655122399330139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5494174957275391},{"id":"https://openalex.org/keywords/transducer","display_name":"Transducer","score":0.524247944355011},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4914361238479614},{"id":"https://openalex.org/keywords/microscope","display_name":"Microscope","score":0.44106894731521606},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.437322199344635},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.40199247002601624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39176130294799805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3890506625175476},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.38487309217453003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3471525013446808},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2833569049835205},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.22367632389068604},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20192617177963257}],"concepts":[{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6347688436508179},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5961236953735352},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5763046741485596},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.5655122399330139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5494174957275391},{"id":"https://openalex.org/C56318395","wikidata":"https://www.wikidata.org/wiki/Q215928","display_name":"Transducer","level":2,"score":0.524247944355011},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4914361238479614},{"id":"https://openalex.org/C67649825","wikidata":"https://www.wikidata.org/wiki/Q196538","display_name":"Microscope","level":2,"score":0.44106894731521606},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.437322199344635},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.40199247002601624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39176130294799805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3890506625175476},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.38487309217453003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3471525013446808},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2833569049835205},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.22367632389068604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20192617177963257}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033401","descriptor_name":"Microscopy, Acoustic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033401","descriptor_name":"Microscopy, Acoustic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033401","descriptor_name":"Microscopy, Acoustic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2018.8513411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30441491","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30441491","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W600282500","https://openalex.org/W1940108662","https://openalex.org/W2047529922","https://openalex.org/W2163779523","https://openalex.org/W2164278908","https://openalex.org/W2165939075","https://openalex.org/W2379948024","https://openalex.org/W2406158094","https://openalex.org/W2642244253","https://openalex.org/W3099843321","https://openalex.org/W6684379799"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W1605636162","https://openalex.org/W2344001031","https://openalex.org/W2756378021","https://openalex.org/W4292601995","https://openalex.org/W2890366747","https://openalex.org/W2037789795","https://openalex.org/W2611470343","https://openalex.org/W4297923868","https://openalex.org/W2104650190"],"abstract_inverted_index":{"Scanning":[0],"acoustic":[1],"microscopy":[2],"(SAM)":[3],"is":[4,89,127],"an":[5],"imaging":[6],"modality":[7],"used":[8],"to":[9,35,46,90,111,118],"obtain":[10],"2D":[11],"maps":[12],"of":[13,18,52,69,72,86,99,135],"acoustical":[14],"and":[15,21,33,37,81,138,158],"mechanical":[16],"properties":[17],"soft":[19],"tissues":[20,73],"uses":[22],"ultrasound":[23],"transducers":[24,30],"operating":[25],"at":[26,40],"very":[27],"high-frequencies.":[28],"Such":[29],"are":[31,74],"challenging":[32],"costly":[34],"manufacture,":[36],"SAM":[38,53,100,157],"systems":[39],"higher":[41],"frequencies":[42],"become":[43],"more":[44],"sensitive":[45],"experimental":[47],"issues.":[48],"Nevertheless,":[49],"biomedical":[50],"applications":[51],"often":[54],"require":[55],"spatial":[56],"resolutions":[57],"nearly":[58],"as":[59,61],"good":[60],"light":[62],"microscopy.":[63],"In":[64],"addition,":[65],"stained":[66],"histology":[67,107,159],"photomicrographs":[68],"thin":[70],"sections":[71],"easily":[75],"obtained":[76],"with":[77],"the":[78,84,97,104,120,131,140,149,165],"necessary":[79],"resolution":[80,98],"accuracy.":[82],"Consequently,":[83],"aim":[85],"this":[87],"study":[88],"introduce":[91],"a":[92],"bilateral":[93,113],"approach":[94],"that":[95],"enhances":[96],"images":[101],"by":[102,129],"leveraging":[103],"co-registered":[105],"high-resolution":[106],"image.":[108],"We":[109],"propose":[110],"use":[112],"weighted":[114],"total":[115],"variation":[116],"regularization":[117],"solve":[119],"super-resolution":[121],"problem.":[122],"A":[123],"fast":[124],"matrix-less":[125],"solver":[126],"developed":[128],"utilizing":[130],"Alternating":[132],"Direction":[133],"Method":[134],"Multipliers":[136],"(ADMM)":[137],"solving":[139],"least":[141],"squares":[142],"problem":[143],"in":[144,148],"one":[145],"ADMM":[146],"step":[147],"Fourier":[150],"domain.":[151],"Reconstruction":[152],"results":[153],"on":[154],"experimentally":[155],"recorded":[156],"data":[160],"show":[161],"promising":[162],"improvement":[163],"over":[164],"classical":[166],"techniques.":[167]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
