{"id":"https://openalex.org/W4415222176","doi":"https://doi.org/10.1109/jbhi.2025.3621099","title":"A Self-Supervised Diffusion Model With Edge Prior for Unpaired LDCT Denoising","display_name":"A Self-Supervised Diffusion Model With Edge Prior for Unpaired LDCT Denoising","publication_year":2025,"publication_date":"2025-10-15","ids":{"openalex":"https://openalex.org/W4415222176","doi":"https://doi.org/10.1109/jbhi.2025.3621099","pmid":"https://pubmed.ncbi.nlm.nih.gov/41091604"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3621099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3621099","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":null,"display_name":"Zhen Zhang","orcid":"https://orcid.org/0009-0007-3780-7624"},"institutions":[{"id":"https://openalex.org/I4210147369","display_name":"Shanghai Institute of Hematology","ror":"https://ror.org/03fz4ce66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147369"]},{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Zhang","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","Shanghai Institute of Medical Imaging, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-3780-7624","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Shanghai Institute of Medical Imaging, Shanghai, China","institution_ids":["https://openalex.org/I4210147369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663361","display_name":"Huizhen Zhang","orcid":"https://orcid.org/0000-0002-5907-0527"},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhen Zhang","raw_affiliation_strings":["Department of BMode Ultrasound, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China","Department of B-Mode Ultrasound, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of BMode Ultrasound, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China","institution_ids":["https://openalex.org/I129708740"]},{"raw_affiliation_string":"Department of B-Mode Ultrasound, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China","institution_ids":["https://openalex.org/I129708740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109964416","display_name":"Shaohua Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Zheng","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9133-705X","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lin Pan","orcid":"https://orcid.org/0000-0001-5271-6295"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Pan","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5271-6295","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054008561","display_name":"Mingjing Yang","orcid":"https://orcid.org/0000-0002-6068-8287"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjing Yang","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6068-8287","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073494285","display_name":"Liqin Huang","orcid":"https://orcid.org/0000-0001-8602-6380"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqin Huang","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8602-6380","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063629854","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["Global Big Data Technologies Centre, School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5641-2483","affiliations":[{"raw_affiliation_string":"Global Big Data Technologies Centre, School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352591","display_name":"Zhiyong Zhang","orcid":"https://orcid.org/0000-0002-0843-2540"},"institutions":[{"id":"https://openalex.org/I4210147369","display_name":"Shanghai Institute of Hematology","ror":"https://ror.org/03fz4ce66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147369"]},{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Zhang","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","Shanghai Institute of Medical Imaging, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Shanghai Institute of Medical Imaging, Shanghai, China","institution_ids":["https://openalex.org/I4210147369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058623839","display_name":"Fei Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106542","display_name":"Shanghai Public Health Clinical Center","ror":"https://ror.org/01nnwyz44","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210106542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shan","raw_affiliation_strings":["Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210106542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011662977","display_name":"Xiahai Zhuang","orcid":"https://orcid.org/0000-0003-4351-4979"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiahai Zhuang","raw_affiliation_strings":["School of Data Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4351-4979","affiliations":[{"raw_affiliation_string":"School of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026836825","display_name":"Mingdian Yu","orcid":"https://orcid.org/0000-0002-8209-7867"},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingdian Yu","raw_affiliation_strings":["Department of Nuclear Medicine, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China","Department of Nuclear Medicine, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8209-7867","affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China","institution_ids":["https://openalex.org/I129708740"]},{"raw_affiliation_string":"Department of Nuclear Medicine, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China","institution_ids":["https://openalex.org/I129708740"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210147369","https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27075601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"4","first_page":"3075","last_page":"3088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.8551999926567078,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.8551999926567078,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6459000110626221},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.598800003528595},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5763000249862671},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5734000205993652},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5267999768257141},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.521399974822998},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4810999929904938},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45910000801086426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4505999982357025}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233999967575073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7045999765396118},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6459000110626221},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.598800003528595},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5763000249862671},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5734000205993652},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5267999768257141},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.521399974822998},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45910000801086426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4564000070095062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4505999982357025},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.44699999690055847},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4426000118255615},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39320001006126404},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30889999866485596},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3027999997138977},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2896000146865845},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.260699987411499},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.259799987077713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25769999623298645},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2563999891281128}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D011829","descriptor_name":"Radiation Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011829","descriptor_name":"Radiation Dosage","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":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3621099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3621099","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:41091604","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41091604","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/G7857457420","display_name":null,"funder_award_id":"62271149","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Low-dose":[0],"computed":[1],"tomography":[2],"(LDCT)":[3],"reduces":[4],"health":[5],"risks":[6],"from":[7],"radiation":[8],"exposure":[9],"but":[10],"introduces":[11,90],"imaging":[12],"noise":[13],"and":[14,46,75,149,166,204],"artifacts.":[15],"While":[16],"numerous":[17],"studies":[18],"have":[19,36],"employed":[20],"deep":[21,52],"learning":[22,53],"for":[23,78,98,171],"LDCT":[24,100,153],"image":[25,118,137],"denoising,":[26],"the":[27,56,67,76,140,160,168,174],"field":[28],"continues":[29],"to":[30,41,66,125,134,142,145],"face":[31,59],"significant":[32,71],"challenges.":[33],"Recent":[34],"advancements":[35],"seen":[37],"diffusion":[38,57,93],"models":[39,58],"applied":[40],"overcome":[42],"issues":[43],"of":[44,196],"over-smoothness":[45],"unstable":[47],"training":[48],"inherent":[49],"in":[50,61,194],"prior":[51,97,122],"approaches.":[54],"However,":[55],"challenges":[60],"direct":[62],"practical":[63],"applications":[64],"due":[65],"extensive":[68],"sampling":[69,157,165],"steps,":[70],"inference":[72,161,213],"time":[73,169],"required,":[74],"need":[77],"hard-to-obtain":[79],"paired":[80],"data":[81],"during":[82,159],"training.":[83],"To":[84],"address":[85],"these":[86],"difficulties,":[87],"this":[88],"paper":[89],"a":[91,107,130,210],"self-supervised":[92,136],"model":[94],"with":[95],"edge":[96,123],"unpaired":[99,146],"denoising.":[101],"This":[102],"method":[103,141,175,187],"enables":[104],"denoising":[105],"within":[106],"lower-dimensional":[108],"space,":[109],"reducing":[110,167],"computational":[111],"complexity.":[112],"Our":[113],"proposed":[114],"approach":[115],"enhances":[116],"denoised":[117],"clarity":[119],"by":[120],"applying":[121],"constraints":[124],"compressed":[126,152],"encodings;":[127],"it":[128,150],"employs":[129],"noise-conditioned":[131],"encoding":[132,154],"strategy":[133],"facilitate":[135],"training,":[138],"enabling":[139],"be":[143],"applicable":[144],"CT":[147],"data;":[148],"utilizes":[151],"as":[155],"intermediate":[156],"results":[158],"process,":[162],"thereby":[163],"accelerating":[164],"required":[170],"inference,":[172],"making":[173],"more":[176],"real-time":[177],"capable.":[178],"Extensive":[179],"validation":[180],"across":[181],"multiple":[182],"datasets":[183],"demonstrates":[184],"that":[185],"our":[186],"achieves":[188],"competitive":[189],"performance":[190],"against":[191],"state-of-the-art":[192],"approaches":[193],"terms":[195],"peak":[197],"signal-to-noise":[198],"ratio":[199],"(PSNR),":[200],"structural":[201],"similarity":[202],"(SSIM),":[203],"perceptual":[205],"quality":[206],"(LPIPS),":[207],"while":[208],"maintaining":[209],"practically":[211],"acceptable":[212],"time.":[214]},"counts_by_year":[],"updated_date":"2026-04-07T06:01:17.266235","created_date":"2025-10-16T00:00:00"}