{"id":"https://openalex.org/W4386350437","doi":"https://doi.org/10.1109/isbi53787.2023.10230812","title":"Ultrasound Super Resolution Using Deep Learning Based on Attention Mechanism","display_name":"Ultrasound Super Resolution Using Deep Learning Based on Attention Mechanism","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386350437","doi":"https://doi.org/10.1109/isbi53787.2023.10230812"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5054539290","display_name":"Xilun Liu","orcid":"https://orcid.org/0000-0003-1362-1140"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xilun Liu","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001621497","display_name":"Mohamed Almekkawy","orcid":"https://orcid.org/0000-0002-9222-3003"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Almekkawy","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054539290"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.5625,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61880181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998000264167786,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9994999766349792,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/jaccard-index","display_name":"Jaccard index","score":0.7720973491668701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7433516383171082},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7385952472686768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639819324016571},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6159996390342712},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4504202902317047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4399324953556061},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4281773567199707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4182000458240509}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.7720973491668701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433516383171082},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7385952472686768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639819324016571},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6159996390342712},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4504202902317047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4399324953556061},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4281773567199707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4182000458240509},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2165149777","https://openalex.org/W2174473997","https://openalex.org/W2675982219","https://openalex.org/W2745372164","https://openalex.org/W2809883623","https://openalex.org/W2883759966","https://openalex.org/W2886848602","https://openalex.org/W2887157292","https://openalex.org/W2995912299","https://openalex.org/W3014650228","https://openalex.org/W3015438922","https://openalex.org/W3082008303","https://openalex.org/W3104536065","https://openalex.org/W3127471220","https://openalex.org/W3136804908","https://openalex.org/W3213137092","https://openalex.org/W4213342082","https://openalex.org/W4223424874","https://openalex.org/W4225863333","https://openalex.org/W4226137632","https://openalex.org/W4226333728","https://openalex.org/W4310521243"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W4401519790","https://openalex.org/W2702570413","https://openalex.org/W3127229356","https://openalex.org/W2901284887","https://openalex.org/W2000801317"],"abstract_inverted_index":{"Ultrasound":[0],"Localization":[1],"Microscopy":[2],"(ULM)":[3],"has":[4],"gained":[5],"a":[6,11,28],"lot":[7],"of":[8,16,89],"interest":[9],"as":[10,43],"new":[12],"imaging":[13],"technology":[14],"capable":[15],"achieving":[17],"subwave":[18],"diffraction":[19],"resolution.":[20],"Currently,":[21],"it":[22],"is":[23,93],"still":[24],"challenging":[25],"to":[26,73,78,125],"achieve":[27],"high":[29],"accuracy":[30],"and":[31,49,57,82,97,100,117,131],"robust":[32],"localization":[33,40,105],"in":[34],"in-vivo":[35,98],"dataset.":[36],"Traditional":[37],"single":[38],"emitter":[39],"methods,":[41],"such":[42],"Gaussian":[44],"fit,":[45],"Radial":[46],"Symmetry":[47],"(RS)":[48],"average":[50],"weight":[51],"had":[52],"problems":[53],"with":[54,102],"precision,":[55],"robustness":[56],"computational":[58],"efficiency.":[59,133],"In":[60],"this":[61],"work,":[62],"we":[63],"propose":[64],"an":[65,75],"attention":[66],"mechanism":[67],"based":[68],"neural":[69],"network,":[70],"namely":[71],"ATT-net,":[72],"make":[74],"end-to-end":[76],"mapping":[77],"localize":[79],"the":[80,84,90,128],"microbubbles":[81],"scale":[83],"input":[85],"dimension.":[86],"The":[87,107],"performance":[88],"proposed":[91,112],"method":[92],"validated":[94],"on":[95],"in-silico":[96],"data":[99],"compared":[101],"two":[103],"other":[104],"methods.":[106],"results":[108],"showed":[109],"that":[110],"our":[111],"network":[113],"achieved":[114],"higher":[115],"precision":[116],"Jaccard":[118],"index.":[119],"These":[120],"benefits":[121],"can":[122],"be":[123],"used":[124],"further":[126],"improve":[127],"image":[129],"visualization":[130],"processing":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}