{"id":"https://openalex.org/W3120330639","doi":"https://doi.org/10.1117/12.2587185","title":"Lightweight denoising filtering neural network for FBP algorithm","display_name":"Lightweight denoising filtering neural network for FBP algorithm","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3120330639","doi":"https://doi.org/10.1117/12.2587185","mag":"3120330639"},"language":"en","primary_location":{"id":"doi:10.1117/12.2587185","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2587185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","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/A5039954188","display_name":"Andrei Yamaev","orcid":"https://orcid.org/0000-0002-9292-5734"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Andrei Yamaev","raw_affiliation_strings":["Moscow State Univ. (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Moscow State Univ. (Russian Federation)","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054182432","display_name":"Marina Chukalina","orcid":"https://orcid.org/0000-0002-1410-5175"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]},{"id":"https://openalex.org/I4210157472","display_name":"Federal Scientific Research Centre Crystallography and Photonics","ror":"https://ror.org/05q51gp63","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210157472"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Marina Chukalina","raw_affiliation_strings":["FSRC \"Crystallography and Photonics\" RAS (Russian Federation)","Institute for Information Transmission Problems RAS (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"FSRC \"Crystallography and Photonics\" RAS (Russian Federation)","institution_ids":["https://openalex.org/I4210157472"]},{"raw_affiliation_string":"Institute for Information Transmission Problems RAS (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066631478","display_name":"Dmitry Nikolaev","orcid":"https://orcid.org/0000-0001-5560-7668"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Nikolaev","raw_affiliation_strings":["Institute for Information Transmission Problems RAS (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems RAS (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070598827","display_name":"Alexander Sheshkus","orcid":"https://orcid.org/0000-0002-8970-8747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Sheshkus","raw_affiliation_strings":["Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019858142","display_name":"A. I. Chulichkov","orcid":"https://orcid.org/0000-0001-5560-3886"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Chulichkov","raw_affiliation_strings":["Moscow State Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Moscow State Univ. (Russian Federation)","institution_ids":["https://openalex.org/I19880235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039954188"],"corresponding_institution_ids":["https://openalex.org/I19880235"],"apc_list":null,"apc_paid":null,"fwci":1.2371,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78171871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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/T12386","display_name":"Advanced X-ray and CT 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/T10844","display_name":"Radiation Dose and Imaging","score":0.9947999715805054,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6663837432861328},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6417570114135742},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6161144375801086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5961050987243652},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5857547521591187},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5807289481163025},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5679941773414612},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5256605744361877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5122529864311218},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4762670695781708},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.4722147583961487},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4237889051437378},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37041664123535156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31067073345184326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2301764190196991},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08076158165931702}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6663837432861328},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6417570114135742},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6161144375801086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5961050987243652},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5857547521591187},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5807289481163025},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5679941773414612},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5256605744361877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5122529864311218},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4762670695781708},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.4722147583961487},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4237889051437378},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37041664123535156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31067073345184326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2301764190196991},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08076158165931702},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2587185","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2587185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2004988775","https://openalex.org/W2077694017","https://openalex.org/W2087312114","https://openalex.org/W2031832834","https://openalex.org/W2055365636","https://openalex.org/W2077148454","https://openalex.org/W4386634531","https://openalex.org/W2753113106","https://openalex.org/W2031629850","https://openalex.org/W2901124942"],"abstract_inverted_index":{"In":[0,108],"that":[1],"paper,":[2],"we":[3,114],"a":[4,38,65],"suggest":[5],"lightweight":[6],"filtering":[7,13,83],"neural":[8,46,69,140,151],"network,":[9],"which":[10,37,56,100,165],"implements":[11],"the":[12,16,75,78,81,97,109,119,147],"stage":[14],"in":[15,29,34],"Filtered":[17],"Back-Projection":[18],"algorithm":[19,41],"(FBP),":[20],"but":[21,32,63],"good":[22],"reconstruction":[23,136,150,159],"results":[24],"are":[25],"achieved":[26],"not":[27,49],"only":[28,51],"ideal":[30],"data":[31],"also":[33,64],"noisy":[35],"data,":[36,99,113],"usual":[39],"FBP":[40,61,135],"cannot":[42],"achieve.":[43],"Thus,":[44],"our":[45,92,139,158],"network":[47,70,93,141,152],"is":[48,57,166],"an":[50],"variation":[52],"of":[53,77,80,91,111,122,127,149],"Ramp":[54,82],"filter,":[55],"usually":[58],"used":[59],"then":[60],"algorithm,":[62],"denoising":[66],"filter.":[67],"The":[68,89,134],"architecture":[71],"was":[72,94,142],"inspired":[73],"with":[74,86,105,138],"idea":[76],"possibility":[79],"operation\u2019s":[84],"approximation":[85],"sufficient":[87],"accuracy.":[88],"efficiency":[90],"shown":[95],"on":[96],"synthetic":[98,112],"imitate":[101],"tomographic":[102],"projections":[103],"collected":[104],"low":[106],"exposition.":[107],"generation":[110],"have":[115],"taken":[116],"into":[117],"account":[118],"quantum":[120],"nature":[121],"X-ray":[123],"radiation,":[124],"exposition":[125],"time":[126,137,148],"one":[128],"frame,":[129],"and":[130,157],"non-linear":[131],"detector":[132],"response.":[133],"13":[143],"times":[144],"faster":[145],"than":[146],"from":[153],"Learned":[154],"Primal-Dual":[155],"Reconstruction,":[156],"quality":[160],"0.906":[161],"by":[162],"SSIM":[163],"metric,":[164],"enough":[167],"to":[168],"identify":[169],"most":[170],"significant":[171],"objects.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}