{"id":"https://openalex.org/W2989325888","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206625","title":"Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting","display_name":"Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W2989325888","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206625","mag":"2989325888"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/1911.05530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015640340","display_name":"Artem Pimkin","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Artem Pimkin","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039696755","display_name":"Alexander Samoylenko","orcid":null},"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/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Samoylenko","raw_affiliation_strings":["Kharkevich Institute for Information Transmission Problems, Moscow Institute of Physics and Technology, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Kharkevich Institute for Information Transmission Problems, Moscow Institute of Physics and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I4210107660","https://openalex.org/I153845743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102888190","display_name":"Natalia Antipina","orcid":"https://orcid.org/0000-0003-3470-5802"},"institutions":[{"id":"https://openalex.org/I4210122729","display_name":"Burdenko Neurosurgery Institute","ror":"https://ror.org/02t1t6n83","country_code":"RU","type":"healthcare","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210110862","https://openalex.org/I4210122729"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Natalia Antipina","raw_affiliation_strings":["N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russia","institution_ids":["https://openalex.org/I4210122729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023066732","display_name":"Anna Ovechkina","orcid":"https://orcid.org/0000-0003-4866-0254"},"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":"Anna Ovechkina","raw_affiliation_strings":["Lomonosov Moscow State University, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050188051","display_name":"Andrey Golanov","orcid":"https://orcid.org/0000-0002-0976-4547"},"institutions":[{"id":"https://openalex.org/I4210122729","display_name":"Burdenko Neurosurgery Institute","ror":"https://ror.org/02t1t6n83","country_code":"RU","type":"healthcare","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210110862","https://openalex.org/I4210122729"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Golanov","raw_affiliation_strings":["N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russia","institution_ids":["https://openalex.org/I4210122729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003383147","display_name":"Alexandra Dalechina","orcid":"https://orcid.org/0000-0003-0782-0821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexandra Dalechina","raw_affiliation_strings":["Moscow Gamma Knife Center, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Moscow Gamma Knife Center, Moscow, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000964051","display_name":"Mikhail Belyaev","orcid":"https://orcid.org/0000-0002-2776-5316"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Mikhail Belyaev","raw_affiliation_strings":["Skolkovo Institute of Science and Technology, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Skolkovo Institute of Science and Technology, Moscow, Russia","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5015640340"],"corresponding_institution_ids":["https://openalex.org/I125989756"],"apc_list":null,"apc_paid":null,"fwci":0.1736,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44199767,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9998000264167786,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9998000264167786,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.995199978351593,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9666000008583069,"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/inpainting","display_name":"Inpainting","score":0.9496301412582397},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7328912019729614},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7162649035453796},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6515012383460999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6509714126586914},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6362195611000061},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6235906481742859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6048564910888672},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5630537271499634},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5485702753067017},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46800485253334045},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4345463514328003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40690547227859497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38654160499572754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2902213931083679},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22441262006759644},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.047245562076568604}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9496301412582397},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7328912019729614},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7162649035453796},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6515012383460999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6509714126586914},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6362195611000061},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6235906481742859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6048564910888672},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5630537271499634},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5485702753067017},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46800485253334045},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4345463514328003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40690547227859497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38654160499572754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2902213931083679},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22441262006759644},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.047245562076568604},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.05530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.05530","pdf_url":"https://arxiv.org/pdf/1911.05530","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":null,"raw_type":"text"},{"id":"mag:2989325888","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1911.05530","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.1911.05530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.05530","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.05530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.05530","pdf_url":"https://arxiv.org/pdf/1911.05530","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321079","display_name":"Russian Foundation for Basic Research","ror":"https://ror.org/02mh1ke95"},{"id":"https://openalex.org/F4320324442","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2989325888.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2060705975","https://openalex.org/W2101891472","https://openalex.org/W2124275134","https://openalex.org/W2125389028","https://openalex.org/W2154129661","https://openalex.org/W2463235957","https://openalex.org/W2520526731","https://openalex.org/W2601466153","https://openalex.org/W2667816915","https://openalex.org/W2739930410","https://openalex.org/W2741828636","https://openalex.org/W2753044865","https://openalex.org/W2765989619","https://openalex.org/W2798365772","https://openalex.org/W2884912413","https://openalex.org/W2963891322","https://openalex.org/W2966656098","https://openalex.org/W2970437588","https://openalex.org/W2981644170","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6741794955","https://openalex.org/W6750997056"],"related_works":["https://openalex.org/W2899946929","https://openalex.org/W2192569879","https://openalex.org/W2195651308","https://openalex.org/W3015805021","https://openalex.org/W2920809311","https://openalex.org/W2971995780","https://openalex.org/W56286215","https://openalex.org/W2792716070","https://openalex.org/W1976567894","https://openalex.org/W2606989176","https://openalex.org/W2532988214","https://openalex.org/W2274093510","https://openalex.org/W3164372047","https://openalex.org/W3027993619","https://openalex.org/W2765650194","https://openalex.org/W2146640671","https://openalex.org/W2160065436","https://openalex.org/W2133489957","https://openalex.org/W2800722299","https://openalex.org/W2601532632"],"abstract_inverted_index":{"Recent":[0],"Metal":[1],"Artifacts":[2],"Reduction":[3],"(MAR)":[4],"methods":[5,67],"for":[6,17],"Computed":[7],"Tomography":[8],"are":[9,29],"often":[10],"based":[11],"on":[12],"image-to-image":[13],"convolutional":[14],"neural":[15],"networks":[16],"adjustment":[18],"of":[19,33,39,68],"corrupted":[20],"sinograms":[21],"or":[22],"images":[23],"themselves.":[24],"In":[25],"this":[26,69],"paper,":[27],"we":[28,77],"exploring":[30],"the":[31,54],"capabilities":[32],"a":[34,79,109],"multidomain":[35],"method,":[36],"which":[37,62],"consists":[38],"both":[40],"sinogram":[41,60],"correction":[42,49],"(projection":[43],"domain":[44],"step)":[45],"and":[46,93],"restored":[47],"image":[48],"(image-domain":[50],"step).":[51],"We":[52],"formulate":[53],"first":[55],"step":[56],"problem":[57],"directly":[58],"as":[59,73],"inpainting,":[61],"allows":[63],"us":[64],"to":[65,84,89],"use":[66],"specific":[70],"field,":[71],"such":[72],"partial":[74],"convolutions.":[75],"Moreover,":[76],"propose":[78],"synthetic":[80],"data":[81],"generation":[82],"pipeline":[83],"avoid":[85],"problems":[86],"with":[87,108],"overfitting":[88],"metal":[90],"shapes":[91],"set":[92],"an":[94],"artifacts":[95],"formation":[96],"technique.":[97],"The":[98],"proposed":[99],"method":[100],"achieves":[101],"state-of-the-art":[102],"(-75%":[103],"MSE)":[104],"improvement":[105],"in":[106],"comparison":[107],"classic":[110],"benchmark":[111],"-":[112],"Li-MAR.":[113]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
