{"id":"https://openalex.org/W4387789684","doi":"https://doi.org/10.1109/tmi.2023.3325824","title":"Wavelet-Improved Score-Based Generative Model for Medical Imaging","display_name":"Wavelet-Improved Score-Based Generative Model for Medical Imaging","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4387789684","doi":"https://doi.org/10.1109/tmi.2023.3325824","pmid":"https://pubmed.ncbi.nlm.nih.gov/37856266"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2023.3325824","doi":"https://doi.org/10.1109/tmi.2023.3325824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3325824","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,"listed_in":["ccf-b","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/8260736","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077824092","display_name":"Weiwen Wu","orcid":"https://orcid.org/0000-0002-8295-5104","observed_orcids":["https://orcid.org/0000-0002-8295-5104"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwen Wu","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8295-5104","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660916","display_name":"Yanyang Wang","orcid":"https://orcid.org/0009-0002-1041-1092","observed_orcids":["https://orcid.org/0009-0002-1041-1092"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyang Wang","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0002-1041-1092","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057647276","display_name":"Qiegen Liu","orcid":"https://orcid.org/0000-0003-4717-2283","observed_orcids":["https://orcid.org/0000-0003-4717-2283"]},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiegen Liu","raw_affiliation_strings":["Department of Information Engineering, Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-4717-2283","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400458","display_name":"Ge Wang","orcid":"https://orcid.org/0000-0002-2656-7705","observed_orcids":["https://orcid.org/0000-0002-2656-7705","https://orcid.org/0000-0002-7516-2341"]},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ge Wang","raw_affiliation_strings":["Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-2656-7705","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087581391","display_name":"Jianjia Zhang","orcid":"https://orcid.org/0000-0001-5048-5606","observed_orcids":["https://orcid.org/0000-0001-5048-5606"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjia Zhang","raw_affiliation_strings":["School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5048-5606","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":8.2682,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.98756535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"43","issue":"3","first_page":"966","last_page":"979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.7300000190734863,"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":0.7300000190734863,"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":0.11800000071525574,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.052299998700618744,"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/score-based-generative-models","display_name":"score-based generative models","score":0.9639999866485596},{"id":"https://openalex.org/keywords/wavelet-denoising","display_name":"wavelet denoising","score":0.9470000267028809},{"id":"https://openalex.org/keywords/medical-image-reconstruction","display_name":"medical image reconstruction","score":0.921999990940094},{"id":"https://openalex.org/keywords/low-dose-computed-tomography","display_name":"low-dose CT","score":0.8700000047683716},{"id":"https://openalex.org/keywords/sparse-view-ct","display_name":"sparse-view CT","score":0.9649999737739563},{"id":"https://openalex.org/keywords/noisy-training-data","display_name":"noisy training data","score":0.7599999904632568},{"id":"https://openalex.org/keywords/training-stability","display_name":"training stability","score":0.5690000057220459},{"id":"https://openalex.org/keywords/regularization","display_name":"regularization","score":0.4690000116825104},{"id":"https://openalex.org/keywords/inverse-problems","display_name":"inverse problems","score":0.49000000953674316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704836905002594},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6576118469238281},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6075531244277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6018883585929871},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4747914671897888},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.46874386072158813},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4538605511188507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4418778419494629},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42335745692253113},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.41756996512413025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3613266944885254},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.1984405517578125},{"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":"D000465","descriptor_name":"Algorithms","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":"D008279","descriptor_name":"Magnetic Resonance Imaging","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":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1109/tmi.2023.3325824","doi":"https://doi.org/10.1109/tmi.2023.3325824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2023.3325824","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,"listed_in":["ccf-b","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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:37856266","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37856266","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,"listed_in":[],"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":"Journal Article"},{"id":"pmh:oai:zenodo.org:8260736","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/8260736","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:8266123","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/8266123","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.5281/zenodo.8260735","doi":"https://doi.org/10.5281/zenodo.8260735","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8260735","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.8260736","doi":"https://doi.org/10.5281/zenodo.8260736","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8260736","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.8266123","doi":"https://doi.org/10.5281/zenodo.8266123","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8266123","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:8260736","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/8260736","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1045264354","display_name":null,"funder_award_id":"R01 EB031102","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G1277628216","display_name":null,"funder_award_id":"2023A1515011780","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G1789452712","display_name":null,"funder_award_id":"20210BBE53001","funder_id":"https://openalex.org/F4320327780","funder_display_name":"Key Research and Development Program of Jiangxi Province"},{"id":"https://openalex.org/G1814629215","display_name":null,"funder_award_id":"2022A1515011375","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G2577808569","display_name":null,"funder_award_id":"2023A1515012278","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5503080200","display_name":null,"funder_award_id":"62101611","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7462928079","display_name":"Cardiac CT Deblooming","funder_award_id":"R01HL151561","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7663000583","display_name":null,"funder_award_id":"JCYJ20220818102414031","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G7871977191","display_name":"Constrained Disentanglement (CODE) Network for CT Metal Artifact Reduction in Radiation Therapy","funder_award_id":"1r01eb031102-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8545228958","display_name":null,"funder_award_id":"JCYJ20220530145411027","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G8550767882","display_name":null,"funder_award_id":"62201628","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8566080081","display_name":null,"funder_award_id":"62122033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G9000903358","display_name":"Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging","funder_award_id":"R01EB032716","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G94451121","display_name":null,"funder_award_id":"R01 EB031102","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G952677848","display_name":null,"funder_award_id":"2022YFA1204201","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/F4320327780","display_name":"Key Research and Development Program of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1505878979","https://openalex.org/W1533169541","https://openalex.org/W1915360731","https://openalex.org/W1955055330","https://openalex.org/W1971159979","https://openalex.org/W1975031272","https://openalex.org/W1981276685","https://openalex.org/W1991111872","https://openalex.org/W1991239884","https://openalex.org/W1996021349","https://openalex.org/W2013035813","https://openalex.org/W2054393756","https://openalex.org/W2054489122","https://openalex.org/W2062024414","https://openalex.org/W2100556411","https://openalex.org/W2101460669","https://openalex.org/W2124768887","https://openalex.org/W2125527601","https://openalex.org/W2144266858","https://openalex.org/W2146428261","https://openalex.org/W2152135475","https://openalex.org/W2574952845","https://openalex.org/W2584483805","https://openalex.org/W2735224642","https://openalex.org/W2761343114","https://openalex.org/W2765233338","https://openalex.org/W2902440939","https://openalex.org/W2959300817","https://openalex.org/W2962734274","https://openalex.org/W2963111219","https://openalex.org/W2964013315","https://openalex.org/W2995038946","https://openalex.org/W3003650457","https://openalex.org/W3035384201","https://openalex.org/W3036167779","https://openalex.org/W3080821159","https://openalex.org/W3088533728","https://openalex.org/W3103321200","https://openalex.org/W3107079687","https://openalex.org/W3110257065","https://openalex.org/W3155072588","https://openalex.org/W3157089313","https://openalex.org/W3166048128","https://openalex.org/W3181955432","https://openalex.org/W3192793528","https://openalex.org/W3199716252","https://openalex.org/W3205399766","https://openalex.org/W3207575373","https://openalex.org/W4200633475","https://openalex.org/W4226057201","https://openalex.org/W4312225593","https://openalex.org/W4317541737","https://openalex.org/W4320342782","https://openalex.org/W4321018128","https://openalex.org/W4360884927","https://openalex.org/W4364379239","https://openalex.org/W4377695098","https://openalex.org/W4381597239","https://openalex.org/W4386233498","https://openalex.org/W6759001153","https://openalex.org/W7133218093","https://openalex.org/W7133222424"],"related_works":["https://openalex.org/W4391942396","https://openalex.org/W3207575373","https://openalex.org/W4317539814","https://openalex.org/W4393097593","https://openalex.org/W4388895185","https://openalex.org/W4414757904","https://openalex.org/W3089546115","https://openalex.org/W4406603778","https://openalex.org/W4407572774","https://openalex.org/W4403204258"],"abstract_inverted_index":{"The":[0,122],"score-based":[1],"generative":[2],"model":[3],"(SGM)":[4],"has":[5],"demonstrated":[6],"remarkable":[7],"performance":[8,63],"in":[9,15,31,40,150],"addressing":[10],"challenging":[11],"under-determined":[12],"inverse":[13],"problems":[14],"medical":[16,32],"imaging.":[17],"However,":[18],"acquiring":[19],"high-quality":[20],"training":[21,233],"datasets":[22],"for":[23],"these":[24,69],"models":[25],"remains":[26],"a":[27,77,96,105,151],"formidable":[28],"task,":[29],"especially":[30],"image":[33],"reconstructions.":[34],"Prevalent":[35],"noise":[36],"perturbations":[37],"or":[38,45],"artifacts":[39],"low-dose":[41,198],"Computed":[42],"Tomography":[43],"(CT)":[44],"under-sampled":[46],"Magnetic":[47],"Resonance":[48],"Imaging":[49],"(MRI)":[50],"hinder":[51],"the":[52,61,84,92,100,113,119,127,131,135,158,163,173,179,184,213,216,222,225],"accurate":[53,140],"estimation":[54],"of":[55,64,112,165,183,197,215,224],"data":[56,114],"distribution":[57,111,115],"gradients,":[58],"thereby":[59],"compromising":[60],"overall":[62,120],"SGMs":[65],"when":[66,143],"trained":[67],"with":[68,83,206,231],"data.":[70,243],"To":[71],"alleviate":[72],"this":[73],"issue,":[74],"we":[75,176],"propose":[76],"wavelet-improved":[78],"denoising":[79],"technique":[80],"to":[81,138,162,238],"cooperate":[82],"SGMs,":[85],"ensuring":[86],"effective":[87],"and":[88,99,117,130,168,181,199,210],"stable":[89],"training.":[90],"Specifically,":[91],"proposed":[93,217],"method":[94,218,230],"integrates":[95],"wavelet":[97,128],"sub-network":[98,103,129,133],"standard":[101],"SGM":[102,132],"into":[104],"unified":[106],"framework,":[107],"effectively":[108],"alleviating":[109],"inaccurate":[110],"gradient":[116],"enhancing":[118],"stability.":[121],"mutual":[123],"feedback":[124],"mechanism":[125],"between":[126],"empowers":[134],"neural":[136],"network":[137],"learn":[139],"scores":[141],"even":[142],"handling":[144],"noisy":[145,232],"samples.":[146],"This":[147],"combination":[148],"results":[149,237],"framework":[152],"that":[153],"exhibits":[154],"superior":[155],"stability":[156],"during":[157],"learning":[159],"process,":[160,175],"leading":[161],"generation":[164],"more":[166],"precise":[167],"reliable":[169],"reconstructed":[170,185,226],"images.":[171,227],"During":[172],"reconstruction":[174],"further":[177],"enhance":[178],"robustness":[180],"quality":[182,223],"images":[186],"by":[187,219],"incorporating":[188],"regularization":[189],"constraint.":[190],"Our":[191,244],"experiments,":[192],"which":[193],"encompass":[194],"various":[195],"scenarios":[196],"sparse-view":[200],"CT,":[201],"as":[202,204],"well":[203],"MRI":[205],"varying":[207],"under-sampling":[208],"rates":[209],"masks,":[211],"demonstrate":[212],"effectiveness":[214],"significantly":[220],"enhanced":[221],"Especially,":[228],"our":[229],"samples":[234],"achieves":[235],"comparable":[236],"those":[239],"obtained":[240],"using":[241],"clean":[242],"code":[245],"at":[246],"https://zenodo.org/record/8266123.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":45},{"year":2023,"cited_by_count":5}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-10-20T00:00:00"}