{"id":"https://openalex.org/W4412110838","doi":"https://doi.org/10.1109/tmi.2025.3587131","title":"Coupled Diffusion Models for Metal Artifact Reduction of Clinical Dental CBCT Images","display_name":"Coupled Diffusion Models for Metal Artifact Reduction of Clinical Dental CBCT Images","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412110838","doi":"https://doi.org/10.1109/tmi.2025.3587131","pmid":"https://pubmed.ncbi.nlm.nih.gov/40627491"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3587131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3587131","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","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":null,"display_name":"Zhouzhuo Zhang","orcid":"https://orcid.org/0009-0007-4426-8489"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouzhuo Zhang","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0007-4426-8489","affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100835903","display_name":"Juncheng Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juncheng Yan","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113024409","display_name":"Yuxuan Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Shi","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhiming Cui","orcid":"https://orcid.org/0000-0002-3798-4504"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Cui","raw_affiliation_strings":["School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","School of Biomedical Engineering &#x0026; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3798-4504","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Biomedical Engineering &#x0026; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042967567","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-1602-538X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1602-538X","affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","School of Biomedical Engineering &#x0026; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7934-5698","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"School of Biomedical Engineering &#x0026; State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2668,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78805939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"44","issue":"12","first_page":"5103","last_page":"5116"},"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":0.9970999956130981,"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":0.9970999956130981,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226241230964661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6831369400024414},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.641147255897522},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6232360005378723},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5890085101127625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.524594247341156},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4907132387161255},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.46790701150894165},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4470055103302002},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.4386088252067566},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41904163360595703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3650978207588196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3576439619064331}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226241230964661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6831369400024414},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.641147255897522},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6232360005378723},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5890085101127625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.524594247341156},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4907132387161255},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.46790701150894165},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4470055103302002},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.4386088252067566},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41904163360595703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3650978207588196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3576439619064331},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep 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":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008670","descriptor_name":"Metals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015921","descriptor_name":"Dental Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015921","descriptor_name":"Dental Implants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015921","descriptor_name":"Dental Implants","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":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3587131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3587131","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:40627491","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40627491","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 transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1832674665","display_name":null,"funder_award_id":"82441023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2690246104","display_name":null,"funder_award_id":"62131015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5981610864","display_name":null,"funder_award_id":"82394432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7136259097","display_name":null,"funder_award_id":"12226007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7163824119","display_name":null,"funder_award_id":"U23A20295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7621290538","display_name":null,"funder_award_id":"62301317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8065005635","display_name":null,"funder_award_id":"62176068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1595831882","https://openalex.org/W2079127706","https://openalex.org/W2095757123","https://openalex.org/W2102166818","https://openalex.org/W2118736432","https://openalex.org/W2133665775","https://openalex.org/W2140972007","https://openalex.org/W2143204661","https://openalex.org/W2154129661","https://openalex.org/W2157833176","https://openalex.org/W2753044865","https://openalex.org/W2789713147","https://openalex.org/W2890761445","https://openalex.org/W2892052962","https://openalex.org/W2902857081","https://openalex.org/W2943228497","https://openalex.org/W2948149465","https://openalex.org/W2953231542","https://openalex.org/W2962793481","https://openalex.org/W2963891322","https://openalex.org/W2964060609","https://openalex.org/W2979363595","https://openalex.org/W3108672867","https://openalex.org/W3185953395","https://openalex.org/W3191805365","https://openalex.org/W3203107667","https://openalex.org/W3204387889","https://openalex.org/W3207918547","https://openalex.org/W3212589799","https://openalex.org/W4225672218","https://openalex.org/W4312220823","https://openalex.org/W4312804044","https://openalex.org/W4312820606","https://openalex.org/W4312933868","https://openalex.org/W4313156423","https://openalex.org/W4386071831","https://openalex.org/W4386363072","https://openalex.org/W4387164668","https://openalex.org/W4390706133","https://openalex.org/W4400314812","https://openalex.org/W4400524387","https://openalex.org/W4403947072","https://openalex.org/W4405488258","https://openalex.org/W4412978908"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W2088646524","https://openalex.org/W2475096862","https://openalex.org/W2379232376","https://openalex.org/W1991530541"],"abstract_inverted_index":{"Metal":[0],"dental":[1,67,90],"implants":[2],"may":[3,48],"introduce":[4,177],"metal":[5,27],"artifacts":[6],"(MA)":[7],"during":[8],"the":[9,36,71,114,117,128,141,147,157,164,168,185,205],"CBCT":[10,91],"imaging":[11],"process,":[12,116],"causing":[13],"significant":[14],"interference":[15],"in":[16,51,74,188],"subsequent":[17],"diagnosis.":[18],"In":[19],"recent":[20],"years,":[21],"many":[22],"deep":[23],"learning":[24,45],"methods":[25,47,58,207],"for":[26,88,156,216],"artifact":[28],"reduction":[29],"(MAR)":[30],"have":[31],"been":[32],"proposed.":[33],"Due":[34],"to":[35,108,145,182],"huge":[37],"difference":[38],"between":[39,140,167],"synthetic":[40],"and":[41,104,127,172,212],"clinical":[42,52,61,89,101,105,198],"MA,":[43],"supervised":[44],"MAR":[46,57,81],"perform":[49],"poorly":[50],"settings.":[53],"Many":[54],"existing":[55],"unsupervised":[56],"trained":[59],"on":[60,100,196,208],"data":[62],"often":[63],"suffer":[64],"from":[65,124],"incorrect":[66],"morphology.":[68],"To":[69],"alleviate":[70],"above":[72],"problems,":[73],"this":[75],"paper,":[76],"we":[77,94,134,176],"propose":[78],"a":[79,136,152],"new":[80,153],"method":[82],"of":[83,119,130,191],"Coupled":[84],"Diffusion":[85],"Models":[86],"(CDM)":[87],"images.":[92,174],"Specifically,":[93],"separately":[95],"train":[96],"two":[97,142],"diffusion":[98,131,143],"models":[99,144],"MA-degraded":[102,170,193],"images":[103,107,126,171],"clean":[106,173],"obtain":[109],"prior":[110,129],"information,":[111],"respectively.":[112],"During":[113],"denoising":[115,158],"variances":[118],"noise":[120,137,149],"levels":[121],"are":[122],"calculated":[123],"MA":[125,148,186,218],"models.":[132],"Then":[133],"develop":[135],"transformation":[138,166],"module":[139],"transform":[146],"image":[150],"into":[151],"initial":[154],"value":[155],"process.":[159],"Our":[160],"designs":[161],"effectively":[162],"exploit":[163],"inherent":[165],"misaligned":[169],"Additionally,":[175],"an":[178,192],"MA-adaptive":[179],"inference":[180],"technique":[181],"better":[183],"accommodate":[184],"degradation":[187],"different":[189],"areas":[190],"image.":[194],"Experiments":[195],"our":[197,202,224],"dataset":[199],"demonstrate":[200],"that":[201],"CDM":[203],"outperforms":[204],"comparison":[206],"both":[209],"objective":[210],"metrics":[211],"visual":[213],"quality,":[214],"especially":[215],"severe":[217],"degradation.":[219],"We":[220],"will":[221],"publicly":[222],"release":[223],"code.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
