{"id":"https://openalex.org/W4324292596","doi":"https://doi.org/10.1109/tmi.2023.3256963","title":"Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution","display_name":"Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution","publication_year":2023,"publication_date":"2023-03-14","ids":{"openalex":"https://openalex.org/W4324292596","doi":"https://doi.org/10.1109/tmi.2023.3256963","pmid":"https://pubmed.ncbi.nlm.nih.gov/37028341"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3256963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3256963","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_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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-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/A5102020469","display_name":"Chang Cai","orcid":"https://orcid.org/0000-0002-2967-0644"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang Cai","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063535327","display_name":"Yuanshun Long","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanshun Long","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080914177","display_name":"Sanjay Ghosh","orcid":"https://orcid.org/0000-0002-0474-5072"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanjay Ghosh","raw_affiliation_strings":["Department of Radiology and Bio-medical Imaging, University of California at San Francisco (UCSF), San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Bio-medical Imaging, University of California at San Francisco (UCSF), San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010434968","display_name":"Ali Hashemi","orcid":"https://orcid.org/0000-0003-4957-4630"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ali Hashemi","raw_affiliation_strings":["Inverse Modeling and Machine Learn- ing Group, Technische Universit&#x00E4;t Berlin, Berlin, Uncertainty, Germany"],"affiliations":[{"raw_affiliation_string":"Inverse Modeling and Machine Learn- ing Group, Technische Universit&#x00E4;t Berlin, Berlin, Uncertainty, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037410761","display_name":"Yijing Gao","orcid":"https://orcid.org/0000-0002-0758-6628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yijing Gao","raw_affiliation_strings":["Department of Radiology and Bio-medical Imaging, University of California at San Francisco (UCSF), San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Bio-medical Imaging, University of California at San Francisco (UCSF), San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103229672","display_name":"Mithun Diwakar","orcid":"https://orcid.org/0000-0001-7557-9895"},"institutions":[{"id":"https://openalex.org/I51713134","display_name":"University of Colorado Anschutz Medical Campus","ror":"https://ror.org/03wmf1y16","country_code":"US","type":"education","lineage":["https://openalex.org/I51713134"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mithun Diwakar","raw_affiliation_strings":["Department of Radiology, University of Colorado Anschutz, Denver, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Colorado Anschutz, Denver, CO, USA","institution_ids":["https://openalex.org/I51713134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068256213","display_name":"Stefan Haufe","orcid":"https://orcid.org/0000-0003-1470-9195"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Haufe","raw_affiliation_strings":["Inverse Modeling and Machine Learning Group, Technische Universit&#x00E4;t Berlin, Berlin, Uncertainty, Germany,"],"affiliations":[{"raw_affiliation_string":"Inverse Modeling and Machine Learning Group, Technische Universit&#x00E4;t Berlin, Berlin, Uncertainty, Germany,","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018858477","display_name":"Kensuke Sekihara","orcid":"https://orcid.org/0000-0002-2048-3797"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kensuke Sekihara","raw_affiliation_strings":["Signal Analysis Inc., Tokyo, Hachioji, Japan"],"affiliations":[{"raw_affiliation_string":"Signal Analysis Inc., Tokyo, Hachioji, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052928277","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0003-3938-8359"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035006868","display_name":"Srikantan S. Nagarajan","orcid":"https://orcid.org/0000-0001-7209-3857"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srikantan S. Nagarajan","raw_affiliation_strings":["Department of Radiology and Bio-medical Imaging, University of California at San Francisco (UCSF), San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Bio-medical Imaging, University of California at San Francisco (UCSF), San Francisco, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5102020469"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":4.4891,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94904357,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"42","issue":"9","first_page":"2502","last_page":"2512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9991999864578247,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9991999864578247,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/magnetoencephalography","display_name":"Magnetoencephalography","score":0.7588287591934204},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6634611487388611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6517999768257141},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6132646203041077},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5553603172302246},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.5546313524246216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5031961798667908},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4849710464477539},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46186286211013794},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45813798904418945},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4464758634567261},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43054622411727905},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.42141205072402954},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.38428038358688354},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.20831257104873657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20595964789390564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13195732235908508},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09983360767364502}],"concepts":[{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.7588287591934204},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6634611487388611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517999768257141},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6132646203041077},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5553603172302246},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.5546313524246216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5031961798667908},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4849710464477539},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46186286211013794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45813798904418945},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4464758634567261},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43054622411727905},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.42141205072402954},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.38428038358688354},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.20831257104873657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20595964789390564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13195732235908508},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09983360767364502},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015225","descriptor_name":"Magnetoencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015225","descriptor_name":"Magnetoencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015225","descriptor_name":"Magnetoencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055590","descriptor_name":"Electromagnetic Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055590","descriptor_name":"Electromagnetic Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055590","descriptor_name":"Electromagnetic Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2023.3256963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3256963","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_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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:37028341","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37028341","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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1673254260","display_name":null,"funder_award_id":"R01DC017091","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G2049625267","display_name":null,"funder_award_id":"R01DC176960","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G2056467022","display_name":null,"funder_award_id":"W81XWH-13-1-0494","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G226252844","display_name":null,"funder_award_id":"62007013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3049455302","display_name":null,"funder_award_id":"T32EB001631","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G3602460275","display_name":null,"funder_award_id":"R01AG062196","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G5652149588","display_name":null,"funder_award_id":"758985","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G5971520243","display_name":null,"funder_award_id":"2021CFB384","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G7712865737","display_name":null,"funder_award_id":"R01NS100440","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8416875011","display_name":null,"funder_award_id":"R01DC013979","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8527014045","display_name":null,"funder_award_id":"MRPI MRP-17--454755","funder_id":"https://openalex.org/F4320308590","funder_display_name":"University of California"},{"id":"https://openalex.org/G8945379503","display_name":null,"funder_award_id":"62277023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320308590","display_name":"University of California","ror":"https://ror.org/00pjdza24"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W245658","https://openalex.org/W1516111018","https://openalex.org/W1606569297","https://openalex.org/W1709380962","https://openalex.org/W1823045978","https://openalex.org/W1973522832","https://openalex.org/W1974637957","https://openalex.org/W1988945834","https://openalex.org/W1993938052","https://openalex.org/W2013150886","https://openalex.org/W2016980059","https://openalex.org/W2045887127","https://openalex.org/W2055368168","https://openalex.org/W2065743591","https://openalex.org/W2076776015","https://openalex.org/W2090530235","https://openalex.org/W2102181721","https://openalex.org/W2106072070","https://openalex.org/W2112466417","https://openalex.org/W2122418437","https://openalex.org/W2125027820","https://openalex.org/W2130863149","https://openalex.org/W2139313032","https://openalex.org/W2152484798","https://openalex.org/W2161465752","https://openalex.org/W2406007819","https://openalex.org/W2419166069","https://openalex.org/W2507020041","https://openalex.org/W2523939209","https://openalex.org/W2884942418","https://openalex.org/W2937977811","https://openalex.org/W2953406849","https://openalex.org/W2966279265","https://openalex.org/W2976095410","https://openalex.org/W3092120360","https://openalex.org/W4247424590","https://openalex.org/W4307773593","https://openalex.org/W6600012500"],"related_works":["https://openalex.org/W818226659","https://openalex.org/W2996333928","https://openalex.org/W2009075871","https://openalex.org/W2132841313","https://openalex.org/W2518591292","https://openalex.org/W2105408150","https://openalex.org/W1976800395","https://openalex.org/W2548445082","https://openalex.org/W2606661315","https://openalex.org/W636053046"],"abstract_inverted_index":{"Reconstructing":[0],"complex":[1],"brain":[2,49,97,195],"source":[3],"activity":[4],"at":[5,158],"a":[6,17,63,73,81],"high":[7,43,198],"spatiotemporal":[8],"resolution":[9,160,199],"from":[10,78,95],"magnetoencephalography":[11],"(MEG)":[12],"or":[13],"electroencephalography":[14],"(EEG)":[15],"remains":[16],"challenging":[18],"problem.":[19],"Adaptive":[20],"beamformers":[21,36,70],"are":[22,165],"routinely":[23],"deployed":[24],"for":[25,66,109,115,190],"this":[26],"imaging":[27],"domain":[28],"using":[29,80],"the":[30,107,123,181],"sample":[31],"data":[32,75,79,90,117],"covariance.":[33],"However":[34],"adaptive":[35,69,176],"have":[37],"long":[38],"been":[39],"hindered":[40],"by":[41],"1)":[42],"degree":[44],"of":[45,122,171],"correlation":[46],"between":[47],"multiple":[48,140,193],"sources,":[50],"and":[51,54,99,104,120,135,148,151,200,204],"2)":[52],"interference":[53,105,150,203],"noise":[55,103,152],"embedded":[56],"in":[57],"sensor":[58],"measurements.":[59,111],"This":[60,174],"study":[61],"develops":[62],"novel":[64,175],"framework":[65,114,189],"minimum":[67],"variance":[68],"that":[71,139,149],"uses":[72],"model":[74,89,116],"covariance":[76,91,118],"learned":[77,88],"sparse":[82],"Bayesian":[83],"learning":[84],"algorithm":[85,178],"(SBL-BF).":[86],"The":[87],"effectively":[92],"removes":[93],"influence":[94],"correlated":[96,142,194],"sources":[98,143,196],"is":[100],"robust":[101],"to":[102,202],"without":[106],"need":[108],"baseline":[110],"A":[112],"multiresolution":[113],"computation":[119],"parallelization":[121],"beamformer":[124],"implementation":[125],"enables":[126],"efficient":[127,168],"high-resolution":[128],"reconstruction":[129],"images.":[130],"Results":[131],"with":[132,167,197],"both":[133],"simulations":[134],"real":[136],"datasets":[137],"indicate":[138],"highly":[141],"can":[144,153],"be":[145,154],"accurately":[146],"reconstructed,":[147],"sufficiently":[155],"suppressed.":[156],"Reconstructions":[157],"2-2.5mm":[159],"(":[161],"\u223c":[162],"150K":[163],"voxels)":[164],"possible":[166],"run":[169],"times":[170],"1-3":[172],"minutes.":[173],"beamforming":[177],"significantly":[179],"outperforms":[180],"state-of-the-art":[182],"benchmarks.":[183],"Therefore,":[184],"SBL-BF":[185],"provides":[186],"an":[187],"effective":[188],"efficiently":[191],"reconstructing":[192],"robustness":[201],"noise.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
