{"id":"https://openalex.org/W4386453610","doi":"https://doi.org/10.1109/jbhi.2023.3312292","title":"SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction","display_name":"SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction","publication_year":2023,"publication_date":"2023-09-05","ids":{"openalex":"https://openalex.org/W4386453610","doi":"https://doi.org/10.1109/jbhi.2023.3312292","pmid":"https://pubmed.ncbi.nlm.nih.gov/37669208"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3312292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3312292","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5050971812","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-5311-3821"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-5311-3821","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684283","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0002-6604-7819"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-6604-7819","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362848","display_name":"Zhiwen Wang","orcid":"https://orcid.org/0000-0002-9936-9347"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Wang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-9936-9347","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357677","display_name":"Hu Chen","orcid":"https://orcid.org/0000-0001-9300-6572"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Chen","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-9300-6572","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351184","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-4881-8429"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["College of Electrical Engineering, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-4881-8429","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058225813","display_name":"Jingfeng Lu","orcid":"https://orcid.org/0000-0002-9391-1297"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Lu","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-9391-1297","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388053","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-7201-2092"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China","College of Computer Science, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-7201-2092","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5627,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.89733376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"27","issue":"11","first_page":"5369","last_page":"5380"},"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9855999946594238,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9847999811172485,"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/computer-science","display_name":"Computer science","score":0.7877694368362427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7639342546463013},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6363672018051147},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5354189276695251},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5269927382469177},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5156077742576599},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5155953764915466},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4845532476902008},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46613046526908875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44722121953964233},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43347012996673584},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42742985486984253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32004398107528687},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.179254412651062},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08791139721870422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07614350318908691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877694368362427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7639342546463013},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6363672018051147},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5354189276695251},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5269927382469177},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5156077742576599},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5155953764915466},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4845532476902008},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46613046526908875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44722121953964233},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43347012996673584},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42742985486984253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32004398107528687},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.179254412651062},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08791139721870422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07614350318908691},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3312292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3312292","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37669208","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37669208","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2574162611","display_name":null,"funder_award_id":"62271335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G880405746","display_name":null,"funder_award_id":"2022SCUH0016","funder_id":"https://openalex.org/F4320322990","funder_display_name":"Sichuan University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W184565980","https://openalex.org/W1901129140","https://openalex.org/W1996767529","https://openalex.org/W2079127706","https://openalex.org/W2179656364","https://openalex.org/W2194775991","https://openalex.org/W2554348120","https://openalex.org/W2592929672","https://openalex.org/W2753044865","https://openalex.org/W2784480683","https://openalex.org/W2808591023","https://openalex.org/W2884912413","https://openalex.org/W2948149465","https://openalex.org/W2963073614","https://openalex.org/W2963891322","https://openalex.org/W2970437588","https://openalex.org/W2980501212","https://openalex.org/W3030811462","https://openalex.org/W3041976831","https://openalex.org/W3043538452","https://openalex.org/W3087119976","https://openalex.org/W3090283259","https://openalex.org/W3099147628","https://openalex.org/W3103454039","https://openalex.org/W3105608025","https://openalex.org/W3130850522","https://openalex.org/W3147951899","https://openalex.org/W3165310467","https://openalex.org/W3173269149","https://openalex.org/W3179295462","https://openalex.org/W3179626733","https://openalex.org/W3185548153","https://openalex.org/W3185953395","https://openalex.org/W3202641460","https://openalex.org/W3204387889","https://openalex.org/W3213236098","https://openalex.org/W4283170333","https://openalex.org/W4308054588","https://openalex.org/W4312318701","https://openalex.org/W4312399981","https://openalex.org/W4375868798","https://openalex.org/W6631190155","https://openalex.org/W6798132488"],"related_works":["https://openalex.org/W1586607209","https://openalex.org/W122912556","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2328989934","https://openalex.org/W2348322200","https://openalex.org/W2981952041","https://openalex.org/W3148060700"],"abstract_inverted_index":{"Metal":[0],"artifacts":[1,67,136],"lead":[2],"to":[3,48,62,87,155],"CT":[4,147],"imaging":[5],"quality":[6],"degradation.":[7],"With":[8],"the":[9,49,92,129,135,145,162,180,183,211,229],"success":[10],"of":[11,20,213],"deep":[12,221],"learning":[13],"(DL)":[14],"in":[15,58,72,90,99,191,240],"medical":[16],"imaging,":[17],"a":[18,63,120,152],"number":[19],"DL-based":[21],"supervised":[22],"methods":[23,35,81,104],"have":[24,82],"been":[25],"developed":[26],"for":[27,112],"metal":[28,77],"artifact":[29,78],"reduction":[30,79],"(MAR).":[31],"Nonetheless,":[32],"fully-supervised":[33],"MAR":[34,97,123,186,223,238],"based":[36],"on":[37,44],"simulated":[38],"data":[39,46],"do":[40],"not":[41],"perform":[42],"well":[43,70],"clinical":[45,73,100],"due":[47,86],"domain":[50,93,194],"gap.":[51],"Although":[52],"this":[53,116],"problem":[54],"can":[55],"be":[56,69],"avoided":[57],"an":[59],"unsupervised":[60],"way":[61],"certain":[64],"degree,":[65],"severe":[66],"cannot":[68],"suppressed":[71],"practice.":[74],"Recently,":[75],"semi-supervised":[76,122,237],"(MAR)":[80],"gained":[83],"wide":[84],"attention":[85],"their":[88],"ability":[89],"narrowing":[91],"gap":[94],"and":[95,134,165,171,195,243],"improving":[96],"performance":[98],"data.":[101],"However,":[102],"these":[103,141],"typically":[105],"require":[106],"large":[107],"model":[108,190],"sizes,":[109],"posing":[110],"challenges":[111],"optimization.":[113],"To":[114,173],"address":[115],"issue,":[117],"we":[118,178],"propose":[119],"novel":[121],"framework.":[124],"In":[125],"our":[126,189],"framework,":[127],"only":[128],"artifact-free":[130],"parts":[131,143],"are":[132,137],"learned,":[133],"inferred":[138],"by":[139,217],"subtracting":[140],"clean":[142,169],"from":[144,182],"metal-corrupted":[146],"images.":[148],"Our":[149,225],"approach":[150],"leverages":[151],"single":[153],"generator":[154,215],"execute":[156],"all":[157],"complex":[158],"transformations,":[159],"thereby":[160],"reducing":[161],"model's":[163],"scale":[164],"preventing":[166],"overlap":[167],"between":[168],"part":[170],"artifacts.":[172],"recover":[174],"more":[175],"tissue":[176],"details,":[177],"distill":[179],"knowledge":[181],"advanced":[184],"dual-domain":[185],"network":[187],"into":[188],"both":[192,241],"image":[193],"latent":[196,200],"feature":[197],"space.":[198],"The":[199],"space":[201],"constraint":[202],"is":[203],"achieved":[204],"via":[205],"contrastive":[206],"learning.":[207],"We":[208],"also":[209],"evaluate":[210],"impact":[212],"different":[214],"architectures":[216],"investigating":[218],"several":[219,235],"mainstream":[220],"learning-based":[222],"backbones.":[224],"experiments":[226],"demonstrate":[227],"that":[228],"proposed":[230],"method":[231],"competes":[232],"favorably":[233],"with":[234],"state-of-the-art":[236],"techniques":[239],"qualitative":[242],"quantitative":[244],"aspects.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
