{"id":"https://openalex.org/W4360930456","doi":"https://doi.org/10.1109/tmi.2023.3261822","title":"Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning","display_name":"Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning","publication_year":2023,"publication_date":"2023-03-24","ids":{"openalex":"https://openalex.org/W4360930456","doi":"https://doi.org/10.1109/tmi.2023.3261822","pmid":"https://pubmed.ncbi.nlm.nih.gov/37030685"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3261822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3261822","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":"https://openalex.org/A5100351310","display_name":"Ming Li","orcid":"https://orcid.org/0000-0001-5168-8165"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","Division of Life sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5168-8165","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]},{"raw_affiliation_string":"Division of Life sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679500","display_name":"Jiping Wang","orcid":"https://orcid.org/0000-0003-2241-8734"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiping Wang","raw_affiliation_strings":["Institute of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-2241-8734","affiliations":[{"raw_affiliation_string":"Institute of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350437","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-5660-6349"},"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":"Yang Chen","raw_affiliation_strings":["Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5660-6349","affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044185120","display_name":"Yufei Tang","orcid":"https://orcid.org/0000-0002-6915-4468"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Tang","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","Division of Life sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]},{"raw_affiliation_string":"Division of Life sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077517676","display_name":"Zhongyi Wu","orcid":"https://orcid.org/0000-0002-4992-8075"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Wu","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","Division of Life sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4992-8075","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]},{"raw_affiliation_string":"Division of Life sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105404674","display_name":"Yujin Qi","orcid":"https://orcid.org/0000-0002-1929-1624"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yujin Qi","raw_affiliation_strings":["Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1929-1624","affiliations":[{"raw_affiliation_string":"Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004875127","display_name":"Haochuan Jiang","orcid":"https://orcid.org/0000-0002-8727-4121"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haochuan Jiang","raw_affiliation_strings":["Minfound Medical Systems Company Ltd., Yuecheng, Zhejiang, Shaoxing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Minfound Medical Systems Company Ltd., Yuecheng, Zhejiang, Shaoxing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027702007","display_name":"Jian Zheng","orcid":"https://orcid.org/0000-0003-4257-331X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zheng","raw_affiliation_strings":["Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","Division of Life sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4257-331X","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]},{"raw_affiliation_string":"Division of Life sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I308837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034237477","display_name":"B.M.W. Tsui","orcid":"https://orcid.org/0000-0001-7928-5093"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin M. W. Tsui","raw_affiliation_strings":["Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA","Fulton, Alphatetta, MD, USA"],"raw_orcid":"https://orcid.org/0000-0001-7928-5093","affiliations":[{"raw_affiliation_string":"Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948","https://openalex.org/I2799853436"]},{"raw_affiliation_string":"Fulton, Alphatetta, MD, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5197,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.9618568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"42","issue":"9","first_page":"2616","last_page":"2630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9951000213623047,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9951000213623047,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9933000206947327,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9847000241279602,"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/computer-science","display_name":"Computer science","score":0.7061375975608826},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6888350248336792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6664881110191345},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5251631140708923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5135784149169922},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4522186517715454},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4432367980480194},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.43937593698501587},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41892117261886597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40494146943092346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.397255003452301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061375975608826},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6888350248336792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6664881110191345},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5251631140708923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5135784149169922},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4522186517715454},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4432367980480194},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.43937593698501587},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41892117261886597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40494146943092346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.397255003452301},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep 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":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"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},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2023.3261822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3261822","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:37030685","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37030685","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},{"id":"pmh:oai:ro.uow.edu.au:test2021-13690","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10081080","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Harvesting Series","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G1754894508","display_name":null,"funder_award_id":"61701492","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4857181533","display_name":null,"funder_award_id":"62001471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6247551410","display_name":null,"funder_award_id":"2022YFC2404103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6592847144","display_name":null,"funder_award_id":"T2225025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2122546849","https://openalex.org/W2138025351","https://openalex.org/W2171697262","https://openalex.org/W2319126251","https://openalex.org/W2475287302","https://openalex.org/W2584483805","https://openalex.org/W2607041014","https://openalex.org/W2743780012","https://openalex.org/W2745006834","https://openalex.org/W2746168118","https://openalex.org/W2766327008","https://openalex.org/W2768282280","https://openalex.org/W2787564202","https://openalex.org/W2793419304","https://openalex.org/W2795777276","https://openalex.org/W2924878362","https://openalex.org/W2938296211","https://openalex.org/W2946539594","https://openalex.org/W2948149465","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2962825119","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2963667985","https://openalex.org/W2963800363","https://openalex.org/W2977808227","https://openalex.org/W3002137088","https://openalex.org/W3034236897","https://openalex.org/W3034631418","https://openalex.org/W3035383808","https://openalex.org/W3041976831","https://openalex.org/W3047238636","https://openalex.org/W3093900383","https://openalex.org/W3098281398","https://openalex.org/W3099147628","https://openalex.org/W3103261259","https://openalex.org/W3112976132","https://openalex.org/W3124596402","https://openalex.org/W3139595919","https://openalex.org/W3155928910","https://openalex.org/W3157089313","https://openalex.org/W3158252298","https://openalex.org/W3165310467","https://openalex.org/W3172797549","https://openalex.org/W3182557492","https://openalex.org/W3182558064","https://openalex.org/W4210251949","https://openalex.org/W4210704094","https://openalex.org/W4283170333","https://openalex.org/W4290715421","https://openalex.org/W4295312788","https://openalex.org/W4298289240","https://openalex.org/W4301206121","https://openalex.org/W6637568146","https://openalex.org/W6746052068","https://openalex.org/W6765779288","https://openalex.org/W6766978945","https://openalex.org/W6779669310","https://openalex.org/W6794180477"],"related_works":["https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W2060429446","https://openalex.org/W2741782512","https://openalex.org/W3011302839","https://openalex.org/W3147584709","https://openalex.org/W2392958391","https://openalex.org/W3155227409","https://openalex.org/W2898682874","https://openalex.org/W2765479697"],"abstract_inverted_index":{"Deep":[0],"learning":[1,132,173],"(DL)":[2],"based":[3,15,63,257],"image":[4,52,64,92,110,177,226,233],"processing":[5,65,111,259],"methods":[6,66],"have":[7],"been":[8],"successfully":[9],"applied":[10],"to":[11,67,138,153,164,189,207],"low-dose":[12,36],"x-ray":[13],"images":[14,40,74,96],"on":[16],"the":[17,20,24,32,59,69,86,162,176,182,186,192,209,215,237,244,247,252,255],"assumption":[18],"that":[19,30,190],"feature":[21,70],"distribution":[22],"of":[23,31,51,61,72,185,191,219,246,254],"training":[25],"data":[26,93],"is":[27,136],"consistent":[28],"with":[29,90,128,143,170],"test":[33],"data.":[34],"However,":[35],"computed":[37],"tomography":[38],"(LDCT)":[39],"from":[41,75,97],"different":[42,47,145],"commercial":[43],"scanners":[44],"may":[45,101],"contain":[46],"amounts":[48],"and":[49,77,109,158,201,217],"types":[50],"noise,":[53],"violating":[54],"this":[55,120],"assumption.":[56],"Moreover,":[57],"in":[58,119,224,250],"application":[60],"DL":[62,256],"LDCT,":[68],"distributions":[71],"LDCT":[73,95,225,240,258],"simulation":[76],"clinical":[78,239],"CT":[79,107],"examination":[80],"can":[81],"be":[82],"quite":[83],"different.":[84],"Therefore,":[85],"network":[87,126],"models":[88],"trained":[89],"simulated":[91],"or":[94,134],"one":[98],"specific":[99],"scanner":[100,108],"not":[102],"work":[103],"well":[104],"for":[105,195],"another":[106],"task.":[112],"To":[113],"solve":[114],"such":[115],"domain":[116,188,194],"adaptation":[117],"problem,":[118],"study,":[121],"a":[122,140,144,151,166,171],"novel":[123],"generative":[124],"adversarial":[125],"(GAN)":[127],"noise":[129,146,155,167,178,183,197],"encoding":[130,156,179],"transfer":[131,172],"(NETL),":[133],"GAN-NETL,":[135],"proposed":[137,150,210,221,248],"generate":[139],"paired":[141],"dataset":[142],"style.":[147,168],"Specifically,":[148],"we":[149,230],"method":[152],"perform":[154],"operator":[157,180],"incorporate":[159],"it":[160],"into":[161],"generator":[163],"extract":[165],"Meanwhile,":[169],"(TL)":[174],"approach,":[175],"transformed":[181],"type":[184],"source":[187],"target":[193],"realistic":[196],"generation.":[198],"One":[199],"public":[200],"two":[202],"private":[203],"datasets":[204],"are":[205],"used":[206],"evaluate":[208],"method.":[211,260],"Experiment":[212],"results":[213],"demonstrated":[214],"feasibility":[216],"effectiveness":[218],"our":[220],"GAN-NETL":[222],"model":[223],"synthesis.":[227],"In":[228],"addition,":[229],"conduct":[231],"additional":[232],"denoising":[234],"study":[235],"using":[236],"synthesized":[238],"data,":[241],"which":[242],"verified":[243],"merit":[245],"synthesis":[249],"improving":[251],"performance":[253]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2023-03-26T00:00:00"}
