{"id":"https://openalex.org/W4405812301","doi":"https://doi.org/10.1109/tmi.2024.3522242","title":"VBVT-Net: VOI-Based VVBP-Tensor Network for High-Attenuation Artifact Suppression in Digital Breast Tomosynthesis Imaging","display_name":"VBVT-Net: VOI-Based VVBP-Tensor Network for High-Attenuation Artifact Suppression in Digital Breast Tomosynthesis Imaging","publication_year":2024,"publication_date":"2024-12-26","ids":{"openalex":"https://openalex.org/W4405812301","doi":"https://doi.org/10.1109/tmi.2024.3522242","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030817"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3522242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3522242","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/A5102964315","display_name":"Manman Zhu","orcid":"https://orcid.org/0009-0008-2675-1968"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Manman Zhu","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-2675-1968","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zidan Wang","orcid":"https://orcid.org/0009-0002-6238-5391"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zidan Wang","raw_affiliation_strings":["Pazhou Laboratory (Huangpu), Guangzhou, China","Pazhou Lab (Huangpu), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-6238-5391","affiliations":[{"raw_affiliation_string":"Pazhou Laboratory (Huangpu), Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Pazhou Lab (Huangpu), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Wang","orcid":"https://orcid.org/0009-0001-3792-0076"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-3792-0076","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089922422","display_name":"Cuidie Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuidie Zeng","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-5412-4723","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613149","display_name":"Dong Zeng","orcid":"https://orcid.org/0000-0001-6015-5010"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zeng","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6015-5010","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006049117","display_name":"Jianhua Ma","orcid":"https://orcid.org/0000-0003-2958-1710"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Ma","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2958-1710","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616765","display_name":"Yongbo Wang","orcid":"https://orcid.org/0009-0007-8082-8391"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongbo Wang","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-8082-8391","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102964315"],"corresponding_institution_ids":["https://openalex.org/I58200834"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40557651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"4","first_page":"1953","last_page":"1968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996999979019165,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9944999814033508,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7215322852134705},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.6371718645095825},{"id":"https://openalex.org/keywords/tomosynthesis","display_name":"Tomosynthesis","score":0.576195240020752},{"id":"https://openalex.org/keywords/digital-breast-tomosynthesis","display_name":"Digital Breast Tomosynthesis","score":0.5574938058853149},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.5537890195846558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5048702359199524},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.45752203464508057},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.44849893450737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4431207776069641},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4297651946544647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4086166322231293},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.34381598234176636},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17501062154769897},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1631983518600464},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1362515687942505},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.1234796941280365}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7215322852134705},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6371718645095825},{"id":"https://openalex.org/C147454874","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Tomosynthesis","level":5,"score":0.576195240020752},{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.5574938058853149},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.5537890195846558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5048702359199524},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.45752203464508057},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.44849893450737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4431207776069641},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4297651946544647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4086166322231293},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.34381598234176636},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17501062154769897},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1631983518600464},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1362515687942505},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.1234796941280365},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3522242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3522242","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:40030817","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030817","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1592500088","display_name":null,"funder_award_id":"202206010148","funder_id":"https://openalex.org/F4320336618","funder_display_name":"Science and Technology Program of Suzhou"},{"id":"https://openalex.org/G1935522407","display_name":null,"funder_award_id":"2021M701641","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6025971118","display_name":null,"funder_award_id":"2020YFA0712200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7336334144","display_name":null,"funder_award_id":"62201247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8021425888","display_name":null,"funder_award_id":"12226004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8698885527","display_name":null,"funder_award_id":"U21A6005","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336618","display_name":"Science and Technology Program of Suzhou","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W54949002","https://openalex.org/W1967300472","https://openalex.org/W1984819107","https://openalex.org/W2037227137","https://openalex.org/W2040191425","https://openalex.org/W2045934471","https://openalex.org/W2089005647","https://openalex.org/W2091707453","https://openalex.org/W2133665775","https://openalex.org/W2146583368","https://openalex.org/W2574952845","https://openalex.org/W2584483805","https://openalex.org/W2592516672","https://openalex.org/W2594157870","https://openalex.org/W2745646182","https://openalex.org/W2885955956","https://openalex.org/W2900051961","https://openalex.org/W2902699143","https://openalex.org/W2940463836","https://openalex.org/W2964348594","https://openalex.org/W2968785917","https://openalex.org/W2972491395","https://openalex.org/W2980189697","https://openalex.org/W3028108622","https://openalex.org/W3046455172","https://openalex.org/W3057190731","https://openalex.org/W3091884228","https://openalex.org/W3113280470","https://openalex.org/W3117064543","https://openalex.org/W3136961553","https://openalex.org/W3170522343","https://openalex.org/W3176096490","https://openalex.org/W4221137843","https://openalex.org/W4282841042","https://openalex.org/W4377966413","https://openalex.org/W6634251294"],"related_works":["https://openalex.org/W2897347202","https://openalex.org/W2036173279","https://openalex.org/W4401888562","https://openalex.org/W2130017212","https://openalex.org/W2747392720","https://openalex.org/W4393757906","https://openalex.org/W2548228738","https://openalex.org/W2944306382","https://openalex.org/W4220866805","https://openalex.org/W2924648218"],"abstract_inverted_index":{"High-attenuation":[0,18],"(HA)":[1],"artifacts":[2,63,164,199],"may":[3,64],"lead":[4],"to":[5,228],"obscured":[6],"subtle":[7],"lesions":[8],"and":[9,43,95,142,176,200],"lesion":[10],"over-estimation":[11],"in":[12,28,52,68,92,99,113,165,204,231,238],"digital":[13],"breast":[14],"tomosynthesis":[15],"(DBT)":[16],"imaging.":[17],"artifact":[19],"suppression":[20],"(HAAS)":[21],"is":[22,226],"vital":[23],"for":[24,61,110],"widespread":[25],"DBT":[26,53,114,235],"applications":[27],"clinic.":[29],"The":[30,146,159,208],"conventional":[31],"HAAS":[32,111,144,160],"methods":[33],"usually":[34],"rely":[35],"on":[36,124,182],"the":[37,49,56,66,73,89,96,125,131,172,187,221,232,239],"segmentation":[38],"accuracy":[39],"of":[40,137,220],"HA":[41,62,157,163,194,198],"objects":[42],"manual":[44],"weighting":[45],"schemes,":[46],"without":[47],"considering":[48],"geometry":[50],"information":[51,91],"reconstruction.":[54],"And":[55],"global":[57],"weighted":[58,121,222],"strategy":[59,122],"designed":[60],"decrease":[65],"resolution":[67],"low-contrast":[69],"soft-tissue":[70,205],"regions.":[71,207],"Moreover,":[72],"view-by-view":[74],"backprojection":[75,174],"tensor":[76],"(VVBP-Tensor)":[77],"domain":[78,86,94],"has":[79,212],"recently":[80],"developed":[81],"as":[82,216],"a":[83,105,118,135,143,213,217],"new":[84],"intermediary":[85],"that":[87,186],"contains":[88],"lossless":[90],"projection":[93],"structural":[97],"details":[98],"image":[100],"domain.":[101],"Therefore,":[102],"we":[103],"propose":[104],"VOI-Based":[106],"VVBP-Tensor":[107,154,168],"Network":[108],"(VBVT-Net)":[109],"task":[112],"imaging,":[115],"which":[116,225],"learns":[117],"local":[119],"implicit":[120],"based":[123],"analytical":[126],"FDK":[127,223],"reconstruction":[128],"mechanism.":[129],"Specifically,":[130],"VBVT-Net":[132,189,210],"method":[133,190,211],"incorporates":[134],"volume":[136],"interest":[138],"(VOI)":[139],"recognition":[140,148],"sub-network":[141,149,161],"sub-network.":[145],"VOI":[147],"automatically":[150],"extracts":[151],"all":[152],"4D":[153,167],"patches":[155,169],"containing":[156],"artifacts.":[158],"reduces":[162],"these":[166],"by":[170],"leveraging":[171],"ray-trace":[173],"features":[175],"extra":[177],"neighborhood":[178],"information.":[179],"All":[180],"results":[181],"four":[183],"datasets":[184],"demonstrate":[185],"proposed":[188,209],"could":[191],"accurately":[192],"detect":[193],"regions,":[195],"effectively":[196],"reduce":[197],"simultaneously":[201],"preserve":[202],"structures":[203],"background":[206],"good":[214],"interpretability":[215],"general":[218],"variant":[219],"algorithm,":[224],"potential":[227],"be":[229],"applied":[230],"next":[233],"generation":[234],"prototype":[236],"system":[237],"future.":[240]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
