{"id":"https://openalex.org/W2799592087","doi":"https://doi.org/10.1109/icassp.2018.8462343","title":"Oct Volumetric Data Restoration via Primal-Dual Plug-and-Play Method","display_name":"Oct Volumetric Data Restoration via Primal-Dual Plug-and-Play Method","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2799592087","doi":"https://doi.org/10.1109/icassp.2018.8462343","mag":"2799592087"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5070966533","display_name":"Shogo Muramatsu","orcid":"https://orcid.org/0000-0002-2990-1238"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"S. Muramatsu","raw_affiliation_strings":["Faculty of Eng., Niigata Univ"],"affiliations":[{"raw_affiliation_string":"Faculty of Eng., Niigata Univ","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109064727","display_name":"S.M. Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Chai","raw_affiliation_strings":["Faculty of Eng., Niigata Univ"],"affiliations":[{"raw_affiliation_string":"Faculty of Eng., Niigata Univ","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040341698","display_name":"Shunsuke Ono","orcid":"https://orcid.org/0000-0001-7890-5131"},"institutions":[{"id":"https://openalex.org/I4210112104","display_name":"Innovative Research (United States)","ror":"https://ror.org/01zxe4w25","country_code":"US","type":"company","lineage":["https://openalex.org/I4210112104"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Ono","raw_affiliation_strings":["Institute of Inovative Research, Tokyo Institute of Tech"],"affiliations":[{"raw_affiliation_string":"Institute of Inovative Research, Tokyo Institute of Tech","institution_ids":["https://openalex.org/I4210112104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034469959","display_name":"Tomoko Ota","orcid":"https://orcid.org/0000-0002-3759-9657"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Ota","raw_affiliation_strings":["School of Medicine, Niigata Univ"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Niigata Univ","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062332328","display_name":"F. Nin","orcid":null},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"F. Nin","raw_affiliation_strings":["School of Medicine, Niigata Univ"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Niigata Univ","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068085562","display_name":"Hiroki Hibino","orcid":"https://orcid.org/0000-0002-8604-8640"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Hibino","raw_affiliation_strings":["School of Medicine, Niigata Univ"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Niigata Univ","institution_ids":["https://openalex.org/I71395657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070966533"],"corresponding_institution_ids":["https://openalex.org/I71395657"],"apc_list":null,"apc_paid":null,"fwci":0.1114,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43817338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"801","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":1.0,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":1.0,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994999766349792,"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/T11897","display_name":"Digital Holography and Microscopy","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.6851676106452942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6615879535675049},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5922106504440308},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5704470276832581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5069192051887512},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48505276441574097},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.46959105134010315},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4529005289077759},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4308406114578247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32475006580352783},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2623544931411743},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1345573365688324},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.1281355619430542},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10001620650291443}],"concepts":[{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.6851676106452942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6615879535675049},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5922106504440308},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5704470276832581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5069192051887512},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48505276441574097},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46959105134010315},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4529005289077759},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4308406114578247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32475006580352783},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2623544931411743},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1345573365688324},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1281355619430542},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10001620650291443},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2018.8462343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50413818","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100766893","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1974438823","https://openalex.org/W1983188637","https://openalex.org/W1998991750","https://openalex.org/W2001801912","https://openalex.org/W2002620156","https://openalex.org/W2006262045","https://openalex.org/W2009745212","https://openalex.org/W2027606067","https://openalex.org/W2045079045","https://openalex.org/W2058532290","https://openalex.org/W2069573044","https://openalex.org/W2093153913","https://openalex.org/W2096971955","https://openalex.org/W2100860054","https://openalex.org/W2102412854","https://openalex.org/W2110505738","https://openalex.org/W2115706991","https://openalex.org/W2200349435","https://openalex.org/W2288303267","https://openalex.org/W2338570568","https://openalex.org/W2558879954","https://openalex.org/W2576230203","https://openalex.org/W2581387281","https://openalex.org/W2620976957","https://openalex.org/W4238056994"],"related_works":["https://openalex.org/W2361805396","https://openalex.org/W2323668004","https://openalex.org/W2972254340","https://openalex.org/W2348498086","https://openalex.org/W3093461874","https://openalex.org/W2063232638","https://openalex.org/W1805912688","https://openalex.org/W2006843870","https://openalex.org/W1602455006","https://openalex.org/W2109920143"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3,21,25,29,33,39,61,121],"volumetric":[4,99],"data":[5,10,100],"restoration":[6,101],"method,":[7,113],"especially":[8],"for":[9,23],"acquired":[11],"through":[12],"an":[13,97,143],"optical":[14],"coherence":[15],"tomography":[16],"(OCT)":[17],"device.":[18],"OCT":[19,98],"is":[20,60,103,118,134],"technique":[22,107],"acquiring":[24],"tomographic":[26],"image":[27,77],"of":[28,50,54,67,93,130],"specimen":[30,88],"object":[31],"in":[32,52,81],"few":[34],"\u03bcm":[35],"scale":[36],"by":[37,120,136,142],"using":[38],"near":[40],"infrared":[41],"laser.":[42],"The":[43,105,128],"authors":[44],"have":[45],"been":[46],"trying":[47],"dynamic":[48],"observation":[49,147],"epithelium":[51],"cochlear":[53],"the":[55,65,68,85,109,115,131],"inner":[56],"ear.":[57],"Currently,":[58],"there":[59],"problem":[62],"to":[63,76],"remove":[64],"influence":[66],"measurement":[69],"process":[70],"as":[71,73],"well":[72],"noise":[74],"due":[75],"sensor":[78],"sensitivity.":[79],"Therefore,":[80],"this":[82],"work,":[83],"on":[84,138],"assumption":[86],"that":[87],"objects":[89],"follow":[90],"some":[91],"sort":[92],"signal":[94],"generation":[95,116],"model,":[96],"method":[102,133],"proposed.":[104],"proposed":[106,132],"adopts":[108],"primal-dual":[110],"plug-and-play":[111],"(PDPnP)":[112],"where":[114],"model":[117],"represented":[119],"sparsity-aware":[122],"regularization":[123],"term":[124],"explicitly":[125],"or":[126],"implicitly.":[127],"significance":[129],"verified":[135],"simulation":[137],"artificial":[139],"data,":[140],"followed":[141],"experiment":[144],"with":[145],"actual":[146],"data.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
