{"id":"https://openalex.org/W3108596640","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443493","title":"Autotuning Plug-and-Play Algorithms for MRI","display_name":"Autotuning Plug-and-Play Algorithms for MRI","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3108596640","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443493","mag":"3108596640"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.00887","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012898099","display_name":"Saurav K. Shastri","orcid":"https://orcid.org/0000-0003-3409-4191"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saurav K. Shastri","raw_affiliation_strings":["The Ohio State University,Dept. of Electrical and Computer Engineering,Columbus,OH,43210","Ohio State University"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Dept. of Electrical and Computer Engineering,Columbus,OH,43210","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046840331","display_name":"Rizwan Ahmad","orcid":"https://orcid.org/0000-0002-5917-3788"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rizwan Ahmad","raw_affiliation_strings":["The Ohio State University,Dept. of Electrical and Computer Engineering,Columbus,OH,43210","Ohio State University"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Dept. of Electrical and Computer Engineering,Columbus,OH,43210","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045693581","display_name":"Philip Schniter","orcid":"https://orcid.org/0000-0003-0939-7545"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip Schniter","raw_affiliation_strings":["The Ohio State University,Dept. of Electrical and Computer Engineering,Columbus,OH,43210","Ohio State University"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Dept. of Electrical and Computer Engineering,Columbus,OH,43210","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012898099"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.1794,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48981459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1400","last_page":"1404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9997000098228455,"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/algorithm","display_name":"Algorithm","score":0.7139308452606201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6083895564079285},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5855002403259277},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5085703134536743},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5013332366943359},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4832364022731781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45768845081329346},{"id":"https://openalex.org/keywords/plug-and-play","display_name":"Plug and play","score":0.42759862542152405},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4209868311882019},{"id":"https://openalex.org/keywords/t2-weighted","display_name":"T2 weighted","score":0.4200124144554138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2519581913948059}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7139308452606201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6083895564079285},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5855002403259277},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5085703134536743},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5013332366943359},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4832364022731781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45768845081329346},{"id":"https://openalex.org/C2780070844","wikidata":"https://www.wikidata.org/wiki/Q857815","display_name":"Plug and play","level":2,"score":0.42759862542152405},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4209868311882019},{"id":"https://openalex.org/C3017936213","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"T2 weighted","level":3,"score":0.4200124144554138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2519581913948059},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2012.00887","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.00887","pdf_url":"https://arxiv.org/pdf/2012.00887","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3108596640","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2012.00887v1","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2012.00887","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.00887","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.00887","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.00887","pdf_url":"https://arxiv.org/pdf/2012.00887","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3108596640.pdf","grobid_xml":"https://content.openalex.org/works/W3108596640.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2002417691","https://openalex.org/W2035097277","https://openalex.org/W2056370875","https://openalex.org/W2087416986","https://openalex.org/W2092663520","https://openalex.org/W2100556411","https://openalex.org/W2116641053","https://openalex.org/W2117649283","https://openalex.org/W2164278908","https://openalex.org/W2508457857","https://openalex.org/W2574952845","https://openalex.org/W2620976957","https://openalex.org/W2889700716","https://openalex.org/W2900756484","https://openalex.org/W2924128390","https://openalex.org/W2964215687","https://openalex.org/W2999778662","https://openalex.org/W3105329799","https://openalex.org/W4292363360","https://openalex.org/W6755625687"],"related_works":["https://openalex.org/W2894660317","https://openalex.org/W2922836033","https://openalex.org/W1975032754","https://openalex.org/W2608595904","https://openalex.org/W2761114013","https://openalex.org/W2253731967","https://openalex.org/W3166026463","https://openalex.org/W2575418235","https://openalex.org/W2587921361","https://openalex.org/W1970984629","https://openalex.org/W2038123181","https://openalex.org/W2913467529","https://openalex.org/W2153220642","https://openalex.org/W58109815","https://openalex.org/W3183083072","https://openalex.org/W3043077672","https://openalex.org/W2803281744","https://openalex.org/W2331828301","https://openalex.org/W2150509620","https://openalex.org/W3016060865"],"abstract_inverted_index":{"For":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(MRI),":[4],"recently":[5],"proposed":[6],"\"plug-and-play\"":[7],"(PnP)":[8],"image":[9,47],"recovery":[10],"algorithms":[11,18,24,58],"have":[12],"shown":[13],"remarkable":[14],"performance.":[15,72],"These":[16],"PnP":[17,57],"are":[19],"similar":[20],"to":[21,44,109],"traditional":[22],"iterative":[23],"like":[25],"FISTA,":[26],"ADMM,":[27],"or":[28,52],"primal-dual":[29],"splitting":[30],"(PDS),":[31],"but":[32],"differ":[33],"in":[34,98],"that":[35,85,92,103],"the":[36,89],"proximal":[37],"update":[38],"is":[39,93],"replaced":[40],"by":[41],"a":[42,78,96],"call":[43],"an":[45,61],"application-specific":[46],"denoiser,":[48],"such":[49],"as":[50],"BM3D":[51],"DnCNN.":[53],"The":[54],"fixed-points":[55],"of":[56,88],"depend":[59],"upon":[60],"algorithmic":[62],"stepsize":[63],"parameter,":[64],"however,":[65],"which":[66],"must":[67],"be":[68],"tuned":[69],"for":[70],"optimal":[71],"In":[73],"this":[74],"work,":[75],"we":[76],"propose":[77],"fast":[79],"and":[80,112],"robust":[81],"auto-tuning":[82],"PnP-PDS":[83],"algorithm":[84,105],"exploits":[86],"knowledge":[87],"measurement-noise":[90],"variance":[91],"available":[94],"from":[95],"pre-scan":[97],"MRI.":[99],"Experimental":[100],"results":[101],"show":[102],"our":[104],"converges":[106],"very":[107],"close":[108],"genie-tuned":[110],"performance,":[111],"does":[113],"so":[114],"significantly":[115],"faster":[116],"than":[117],"existing":[118],"autotuning":[119],"approaches.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
