{"id":"https://openalex.org/W4404563829","doi":"https://doi.org/10.1109/tim.2024.3502758","title":"SDCNN: Self-Supervised Disentangled Convolutional Neural Network for Low-Dose CT Denoising","display_name":"SDCNN: Self-Supervised Disentangled Convolutional Neural Network for Low-Dose CT Denoising","publication_year":2024,"publication_date":"2024-11-20","ids":{"openalex":"https://openalex.org/W4404563829","doi":"https://doi.org/10.1109/tim.2024.3502758"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3502758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3502758","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04833560v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100420968","display_name":"Yuhang Liu","orcid":"https://orcid.org/0000-0003-2854-4061"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhang Liu","raw_affiliation_strings":["LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","State Key Laboratory of Dynamic Testing Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-2854-4061","affiliations":[{"raw_affiliation_string":"LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687822","display_name":"Huazhong Shu","orcid":"https://orcid.org/0000-0002-3833-7915"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhong Shu","raw_affiliation_strings":["LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3833-7915","affiliations":[{"raw_affiliation_string":"LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108580510","display_name":"Qiang Chi","orcid":"https://orcid.org/0009-0006-2785-3523"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Chi","raw_affiliation_strings":["LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-2785-3523","affiliations":[{"raw_affiliation_string":"LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101032676","display_name":"Yue Zhang","orcid":"https://orcid.org/0009-0004-5678-2715"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-5678-2715","affiliations":[{"raw_affiliation_string":"LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101438462","display_name":"Zidong Liu","orcid":"https://orcid.org/0000-0002-9375-2409"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zidong Liu","raw_affiliation_strings":["LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9375-2409","affiliations":[{"raw_affiliation_string":"LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068575755","display_name":"Fuzhi Wu","orcid":"https://orcid.org/0009-0000-7310-9670"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhi Wu","raw_affiliation_strings":["LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-7310-9670","affiliations":[{"raw_affiliation_string":"LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052775662","display_name":"Jean-Louis Coatrieux","orcid":"https://orcid.org/0000-0001-8381-1770"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Louis Coatrieux","raw_affiliation_strings":["Center de Recherche en Information Biom&#x00E9;dicale Sino-Fran&#x00E7;ais (CRIBs), Rennes, France"],"raw_orcid":"https://orcid.org/0000-0001-8381-1770","affiliations":[{"raw_affiliation_string":"Center de Recherche en Information Biom&#x00E9;dicale Sino-Fran&#x00E7;ais (CRIBs), Rennes, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330616","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0003-1335-7626"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","State Key Laboratory of Dynamic Testing Technology [Taiyuan] (China)"],"raw_orcid":"https://orcid.org/0000-0003-1335-7626","affiliations":[{"raw_affiliation_string":"LIST, Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, and Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology [Taiyuan] (China)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060657278","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-1206-8729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","State Key Laboratory of Dynamic Testing Technology [Taiyuan] (China)"],"raw_orcid":"https://orcid.org/0000-0002-1206-8729","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology [Taiyuan] (China)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365992","display_name":"Pengcheng Zhang","orcid":"https://orcid.org/0000-0003-3560-1167"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengcheng Zhang","raw_affiliation_strings":["State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","State Key Laboratory of Dynamic Testing Technology [Taiyuan] (China)"],"raw_orcid":"https://orcid.org/0000-0003-3560-1167","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology [Taiyuan] (China)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075478974","display_name":"Zhiguo Gui","orcid":"https://orcid.org/0000-0002-8991-9907"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiguo Gui","raw_affiliation_strings":["State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","State Key Laboratory of Dynamic Testing Technology [Taiyuan] (China)"],"raw_orcid":"https://orcid.org/0000-0002-8991-9907","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology, Taiyuan, China","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Dynamic Testing Technology [Taiyuan] (China)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100420968"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.151,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80348365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991000294685364,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9923999905586243,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.752532958984375},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6271716952323914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6001203656196594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5766558051109314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5482854247093201},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4570619463920593},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3393605053424835}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.752532958984375},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6271716952323914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6001203656196594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5766558051109314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5482854247093201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4570619463920593},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3393605053424835}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2024.3502758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3502758","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04833560v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04833560","pdf_url":"https://hal.science/hal-04833560v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement, 2024, 74, pp.5001313. &#x27E8;10.1109/tim.2024.3502758&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04833560v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04833560","pdf_url":"https://hal.science/hal-04833560v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement, 2024, 74, pp.5001313. &#x27E8;10.1109/tim.2024.3502758&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G5477931120","display_name":null,"funder_award_id":"202303021211148","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G6651252614","display_name":null,"funder_award_id":"2022YFE0116700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8445935974","display_name":null,"funder_award_id":"62171125","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/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404563829.pdf","grobid_xml":"https://content.openalex.org/works/W4404563829.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1964231221","https://openalex.org/W1964859077","https://openalex.org/W1972150100","https://openalex.org/W1987655387","https://openalex.org/W2003663624","https://openalex.org/W2044774090","https://openalex.org/W2056370875","https://openalex.org/W2063061288","https://openalex.org/W2094366314","https://openalex.org/W2094438952","https://openalex.org/W2097073572","https://openalex.org/W2098025213","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2160547390","https://openalex.org/W2508457857","https://openalex.org/W2520302833","https://openalex.org/W2584483805","https://openalex.org/W2748739903","https://openalex.org/W2802555497","https://openalex.org/W2887746098","https://openalex.org/W2902857081","https://openalex.org/W2953231542","https://openalex.org/W2955414824","https://openalex.org/W2964013315","https://openalex.org/W2995072672","https://openalex.org/W3015519144","https://openalex.org/W3029895323","https://openalex.org/W3034446632","https://openalex.org/W3040980702","https://openalex.org/W3088729822","https://openalex.org/W3095556331","https://openalex.org/W3098337560","https://openalex.org/W3101406715","https://openalex.org/W3121038207","https://openalex.org/W3126582326","https://openalex.org/W3167231702","https://openalex.org/W3193594030","https://openalex.org/W3212800953","https://openalex.org/W3213236098","https://openalex.org/W3216826802","https://openalex.org/W4226089453","https://openalex.org/W4282935701","https://openalex.org/W4285126072","https://openalex.org/W4296142362","https://openalex.org/W4299627282","https://openalex.org/W4304005877","https://openalex.org/W4308371836","https://openalex.org/W4312594629","https://openalex.org/W4312624488","https://openalex.org/W4312773500","https://openalex.org/W4319068678","https://openalex.org/W4320893531","https://openalex.org/W4321021542","https://openalex.org/W4322622372","https://openalex.org/W4378365204","https://openalex.org/W4386192371","https://openalex.org/W4386465446","https://openalex.org/W4388407727","https://openalex.org/W4403069616","https://openalex.org/W6749271710","https://openalex.org/W6759001153","https://openalex.org/W6774314701","https://openalex.org/W6903004929"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509"],"abstract_inverted_index":{"Low-dose":[0],"computed":[1],"tomography":[2],"(LDCT)":[3],"reduces":[4],"radiation":[5],"exposure":[6],"but":[7,25],"suffers":[8],"from":[9,60],"high":[10],"noise,":[11,88,91],"impacting":[12],"image":[13],"quality":[14],"and":[15,32,89,113,135,159,165,171,190,211],"diagnostic":[16],"accuracy.":[17],"Supervised":[18],"learning":[19],"has":[20],"helped":[21],"address":[22],"this":[23],"challenge":[24],"requires":[26],"numerous":[27],"paired":[28],"datasets":[29],"of":[30,97,105,111,143],"LDCT":[31,61,82],"normal-dose":[33],"CT":[34,58],"(NDCT)":[35],"images,":[36,86],"which":[37],"limits":[38],"their":[39],"clinical":[40,170,238],"practice.":[41],"This":[42],"article":[43],"proposes":[44],"a":[45,67,77,117],"novel":[46,130],"self-supervised":[47,126,186,198],"disentangled":[48],"convolutional":[49],"neural":[50],"network":[51],"(SDCNN)":[52],"that":[53,73,175],"can":[54],"directly":[55],"reconstruct":[56],"high-quality":[57],"images":[59,83],"data":[62,173],"without":[63],"the":[64,94,103,109,141,144,154,160,176,197,202,223,236],"need":[65],"for":[66],"clean":[68],"reference.":[69],"Unlike":[70],"other":[71],"methods":[72],"treat":[74],"noise":[75,99,158,189],"as":[76],"uniform":[78],"entity,":[79],"SDCNN":[80,200],"disentangles":[81],"into":[84],"noise-free":[85],"signal-dependent":[87,157],"signal-independent":[90],"aligning":[92],"with":[93],"intrinsic":[95],"principles":[96],"low-dose":[98],"generation.":[100],"To":[101],"enhance":[102],"purity":[104],"disentanglement,":[106],"we":[107,124],"introduce":[108],"concept":[110],"combination":[112],"re-disentanglement":[114],"to":[115,139,196],"establish":[116],"training":[118],"framework":[119],"based":[120],"on":[121,169,235],"SDCNN.":[122],"Additionally,":[123],"design":[125],"loss":[127,137],"functions,":[128,138],"including":[129],"anisotropic":[131],"total":[132],"variation":[133],"(TV)":[134],"distance":[136],"improve":[140],"efficiency":[142],"denoising":[145],"process.":[146],"The":[147,240],"signal-guided":[148],"attention":[149],"(SGA)":[150],"module":[151],"effectively":[152],"captures":[153],"relationship":[155],"between":[156],"signal":[161],"across":[162],"both":[163],"spatial":[164],"channel":[166],"dimensions.":[167],"Experiments":[168],"animal":[172],"demonstrate":[174],"proposed":[177],"method":[178],"performed":[179],"better":[180],"than":[181],"all":[182],"competing":[183],"state-of-the-art":[184],"(SOTA)":[185],"algorithms":[187],"in":[188],"artifact":[191],"removal.":[192],"For":[193],"example,":[194],"compared":[195],"algorithms,":[199],"improves":[201],"multiscale":[203],"structural":[204],"similarity":[205,213,226],"(MSSIM),":[206],"peak":[207],"signal-to-noise":[208],"ratio":[209],"(PSNR),":[210],"feature":[212],"(FSIM)":[214],"by":[215,231],"at":[216,232,244],"least":[217,233],"2.26%,":[218],"1.20":[219],"dB,":[220],"1.23%,":[221],"whereas,":[222],"gradient":[224],"magnitude":[225],"deviation":[227],"(GMSD)":[228],"is":[229,242],"reduced":[230],"1.11%":[234],"Mayo":[237],"data.":[239],"code":[241],"available":[243],"<uri":[245],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[246],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/YuhangLiu98/SDCNN</uri>.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
