乐胖代购免代理版

{"id":"https://openalex.org/W4400276185","doi":"https://doi.org/10.1109/tmi.2024.3422027","title":"Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach","display_name":"Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach","publication_year":2024,"publication_date":"2024-07-03","ids":{"openalex":"https://openalex.org/W4400276185","doi":"https://doi.org/10.1109/tmi.2024.3422027","pmid":"https://pubmed.ncbi.nlm.nih.gov/38959140"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3422027","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.11149","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087443627","display_name":"Mostafa Sharifzadeh","orcid":"https://orcid.org/0000-0001-7625-6297"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"funder","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mostafa Sharifzadeh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada."],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066507478","display_name":"Sobhan Goudarzi","orcid":"https://orcid.org/0000-0002-0306-8946"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"funder","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I1323843004","display_name":"Sunnybrook Health Science Centre","ror":"https://ror.org/03wefcv03","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004"]},{"id":"https://openalex.org/I4391768120","display_name":"Sunnybrook Research Institute","ror":"https://ror.org/05n0tzs53","country_code":null,"type":"funder","lineage":["https://openalex.org/I1323843004","https://openalex.org/I185261750","https://openalex.org/I4391768120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sobhan Goudarzi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.","with the Physical Science Platform, Sunnybrook Research Institute, Toronto, ON, Canada. A."],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"with the Physical Science Platform, Sunnybrook Research Institute, Toronto, ON, Canada. A.","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I4391768120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051558381","display_name":"An Tang","orcid":"https://orcid.org/0000-0001-8967-5503"},"institutions":[],"countries":["CA"],"is_corresponding":false,"raw_author_name":"An Tang","raw_affiliation_strings":["Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montreal, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montreal, ON, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090830124","display_name":"Habib Benali","orcid":"https://orcid.org/0000-0001-7158-1218"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"funder","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I1323843004","display_name":"Sunnybrook Health Science Centre","ror":"https://ror.org/03wefcv03","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004"]},{"id":"https://openalex.org/I4391768120","display_name":"Sunnybrook Research Institute","ror":"https://ror.org/05n0tzs53","country_code":null,"type":"funder","lineage":["https://openalex.org/I1323843004","https://openalex.org/I185261750","https://openalex.org/I4391768120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Habib Benali","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.","with the Physical Science Platform, Sunnybrook Research Institute, Toronto, ON, Canada. A."],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"with the Physical Science Platform, Sunnybrook Research Institute, Toronto, ON, Canada. A.","institution_ids":["https://openalex.org/I1323843004","https://openalex.org/I4391768120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077743201","display_name":"Hassan Rivaz","orcid":"https://orcid.org/0000-0001-5800-3034"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"funder","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hassan Rivaz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.639,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.698536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"43","issue":"12","first_page":"4380","last_page":"4392"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.999,"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":0.999,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9989,"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"}},{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9978,"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/ground-truth","display_name":"Ground truth","score":0.44529372},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.41108316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820017},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.53588957},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5166955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47767362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44932398},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.44651946},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.44529372},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4417031},{"id":"https://openalex.org/C70638346","wikidata":"https://www.wikidata.org/wiki/Q2913798","display_name":"Spherical aberration","level":3,"score":0.43385637},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.41108316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36628243},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34596795},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.28648672},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.2175566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17006144},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3422027","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2308.11149","pdf_url":"https://arxiv.org/pdf/2308.11149","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38959140","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2308.11149","pdf_url":"https://arxiv.org/pdf/2308.11149","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":64,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1963652338","https://openalex.org/W2006654193","https://openalex.org/W2010807412","https://openalex.org/W2020397296","https://openalex.org/W2030274906","https://openalex.org/W2043583034","https://openalex.org/W2052629386","https://openalex.org/W2063812299","https://openalex.org/W2069168732","https://openalex.org/W2074730983","https://openalex.org/W2077224883","https://openalex.org/W2078263883","https://openalex.org/W2082137964","https://openalex.org/W2097073572","https://openalex.org/W2097460063","https://openalex.org/W2097575659","https://openalex.org/W2103897607","https://openalex.org/W2107296937","https://openalex.org/W2108014262","https://openalex.org/W2122041810","https://openalex.org/W2151773045","https://openalex.org/W2157147043","https://openalex.org/W2162473564","https://openalex.org/W2166343165","https://openalex.org/W2296073425","https://openalex.org/W2520016202","https://openalex.org/W2546974404","https://openalex.org/W2754188632","https://openalex.org/W2883033975","https://openalex.org/W2890169359","https://openalex.org/W2893220000","https://openalex.org/W2895881554","https://openalex.org/W2898299448","https://openalex.org/W2908196892","https://openalex.org/W2921827007","https://openalex.org/W2955012834","https://openalex.org/W2990963722","https://openalex.org/W2994641975","https://openalex.org/W2996543171","https://openalex.org/W3015313318","https://openalex.org/W3024939601","https://openalex.org/W3033679780","https://openalex.org/W3034193293","https://openalex.org/W3083344166","https://openalex.org/W3105224782","https://openalex.org/W3134031563","https://openalex.org/W3177802249","https://openalex.org/W3211694620","https://openalex.org/W335058031","https://openalex.org/W4210592692","https://openalex.org/W4220933006","https://openalex.org/W4221158463","https://openalex.org/W4289550871","https://openalex.org/W4291308360","https://openalex.org/W4309563914","https://openalex.org/W4310529668","https://openalex.org/W4310584080","https://openalex.org/W4310584991","https://openalex.org/W4310657084","https://openalex.org/W4323897044","https://openalex.org/W4381951257","https://openalex.org/W4388450668"],"related_works":["https://openalex.org/W4289778753","https://openalex.org/W4252698412","https://openalex.org/W2726957492","https://openalex.org/W2419247718","https://openalex.org/W2365165754","https://openalex.org/W2353144222","https://openalex.org/W2315543426","https://openalex.org/W2285551456","https://openalex.org/W2131605965","https://openalex.org/W1617981639"],"abstract_inverted_index":{"One":[0],"of":[1,5,36,56],"the":[2,29,54,62,71,88,107,190,204,210],"primary":[3],"sources":[4],"suboptimal":[6],"image":[7,195],"quality":[8],"in":[9,20,42,157,189,214],"ultrasound":[10],"imaging":[11],"is":[12,15,131,196],"phase":[13,89,179,185,220],"aberration.It":[14],"caused":[16],"by":[17],"spatial":[18],"changes":[19],"sound":[21],"speed":[22],"over":[23,170],"a":[24,76,103,122,136],"heterogeneous":[25],"medium,":[26],"which":[27],"disturbs":[28],"transmitted":[30],"waves":[31],"and":[32,67,109,153,161,203],"prevents":[33],"coherent":[34],"summation":[35],"echo":[37],"signals.Obtaining":[38],"non-aberrated":[39,205],"ground":[40,84],"truths":[41],"real-world":[43],"scenarios":[44],"can":[45,95],"be":[46,96],"extremely":[47],"challenging,":[48],"if":[49],"not":[50,82,187],"impossible.This":[51],"challenge":[52],"hinders":[53],"performance":[55],"deep":[57,77,216],"learning-based":[58,78,217],"techniques":[59,218],"due":[60],"to":[61,86,138,208],"domain":[63],"shift":[64],"between":[65],"simulated":[66],"experimental":[68],"data.Here,":[69],"for":[70,133,219],"first":[72],"time,":[73],"we":[74,119,142,164],"propose":[75,143],"method":[79],"that":[80,121,149],"does":[81],"require":[83],"truth":[85],"correct":[87],"aberration":[90,201,221],"problem":[91,213],"and,":[92],"as":[93,127,183],"such,":[94],"directly":[97],"trained":[98],"on":[99],"real":[100],"data.We":[101],"train":[102],"network":[104,137],"wherein":[105,178],"both":[106,151],"input":[108],"target":[110],"output":[111],"are":[112,181],"randomly":[113],"aberrated":[114,172,194],"radio":[115],"frequency":[116],"(RF)":[117],"data.Moreover,":[118],"demonstrate":[120],"conventional":[123],"loss":[124,147],"function":[125,148],"such":[126,135],"mean":[128],"square":[129],"error":[130],"inadequate":[132],"training":[134],"achieve":[139],"optimal":[140],"performance.Instead,":[141],"an":[144],"adaptive":[145],"mixed":[146],"employs":[150],"B-mode":[152],"RF":[154],"data,":[155],"resulting":[156],"more":[158],"efficient":[159],"convergence":[160],"enhanced":[162],"performance.Finally,":[163],"publicly":[165],"release":[166],"our":[167],"dataset,":[168],"comprising":[169],"180,000":[171],"single":[173],"plane-wave":[174],"images":[175],"(RF":[176],"data),":[177],"aberrations":[180],"modeled":[182],"near-field":[184],"screens.Although":[186],"utilized":[188],"proposed":[191],"method,":[192],"each":[193],"paired":[197],"with":[198],"its":[199],"corresponding":[200],"profile":[202],"version,":[206],"aiming":[207],"mitigate":[209],"data":[211],"scarcity":[212],"developing":[215],"correction.":[222]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4400276185","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-03-23T06:10:59.760526","created_date":"2024-07-05"}