{"id":"https://openalex.org/W3167679756","doi":"https://doi.org/10.1109/jbhi.2021.3087407","title":"Deep Adaptive Blending Network for 3D Magnetic Resonance Image Denoising","display_name":"Deep Adaptive Blending Network for 3D Magnetic Resonance Image Denoising","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3167679756","doi":"https://doi.org/10.1109/jbhi.2021.3087407","mag":"3167679756","pmid":"https://pubmed.ncbi.nlm.nih.gov/34101607"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3087407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3087407","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018343158","display_name":"Yi Xu","orcid":"https://orcid.org/0000-0003-2126-6054"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xu","raw_affiliation_strings":["Shanghai Traditional Chinese Medicine Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Traditional Chinese Medicine Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210098460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012825471","display_name":"Kang Han","orcid":"https://orcid.org/0000-0003-3626-7818"},"institutions":[{"id":"https://openalex.org/I86467917","display_name":"James Cook University","ror":"https://ror.org/04gsp2c11","country_code":"AU","type":"education","lineage":["https://openalex.org/I86467917"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kang Han","raw_affiliation_strings":["College of Science and Engineering, James Cook University, Cairns, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3626-7818","affiliations":[{"raw_affiliation_string":"College of Science and Engineering, James Cook University, Cairns, QLD, Australia","institution_ids":["https://openalex.org/I86467917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050375875","display_name":"Yongming Zhou","orcid":"https://orcid.org/0000-0002-3008-0916"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210133418","display_name":"Yueyang Hospital","ror":"https://ror.org/03yd12021","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133418"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Zhou","raw_affiliation_strings":["Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210098460","https://openalex.org/I4210133418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075242841","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0003-0173-4463"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":["Shanghai Traditional Chinese Medicine Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Traditional Chinese Medicine Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210098460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042746887","display_name":"Xin Xie","orcid":"https://orcid.org/0000-0002-2551-2550"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Xie","raw_affiliation_strings":["Shanghai Traditional Chinese Medicine Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Traditional Chinese Medicine Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210098460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389005","display_name":"Wei Xiang","orcid":"https://orcid.org/0000-0002-0608-065X"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Xiang","raw_affiliation_strings":["School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0608-065X","affiliations":[{"raw_affiliation_string":"School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9038,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.72665089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":"9","first_page":"3321","last_page":"3331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9979000091552734,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9954000115394592,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.782794177532196},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.743960440158844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.74149090051651},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5723505020141602},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5652783513069153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5455145835876465},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5414935946464539},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5342957377433777},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4925459325313568},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47072330117225647},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4126827120780945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18021979928016663},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16298237442970276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10494354367256165}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.782794177532196},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.743960440158844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74149090051651},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5723505020141602},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5652783513069153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5455145835876465},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5414935946464539},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5342957377433777},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4925459325313568},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47072330117225647},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4126827120780945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18021979928016663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16298237442970276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10494354367256165},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","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},{"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/jbhi.2021.3087407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3087407","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:34101607","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34101607","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:researchonline.jcu.edu.au:70153","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196350","display_name":"ResearchOnline - JCU (James Cook University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I86467917","host_organization_name":"James Cook University","host_organization_lineage":["https://openalex.org/I86467917"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5882102597","display_name":null,"funder_award_id":"18-01-04","funder_id":"https://openalex.org/F4320326704","funder_display_name":"Shanghai University of Traditional Chinese Medicine"},{"id":"https://openalex.org/G6243694040","display_name":null,"funder_award_id":"2019LK049","funder_id":"https://openalex.org/F4320326704","funder_display_name":"Shanghai University of Traditional Chinese Medicine"},{"id":"https://openalex.org/G8297145313","display_name":null,"funder_award_id":"RCPY0028","funder_id":"https://openalex.org/F4320326704","funder_display_name":"Shanghai University of Traditional Chinese Medicine"},{"id":"https://openalex.org/G8756650299","display_name":null,"funder_award_id":"RCPY0039","funder_id":"https://openalex.org/F4320326704","funder_display_name":"Shanghai University of Traditional Chinese Medicine"}],"funders":[{"id":"https://openalex.org/F4320326704","display_name":"Shanghai University of Traditional Chinese Medicine","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1506428024","https://openalex.org/W1522301498","https://openalex.org/W1899329334","https://openalex.org/W1974438823","https://openalex.org/W2001234856","https://openalex.org/W2037642501","https://openalex.org/W2046372571","https://openalex.org/W2056370875","https://openalex.org/W2059784307","https://openalex.org/W2061655116","https://openalex.org/W2073660032","https://openalex.org/W2098477387","https://openalex.org/W2120364003","https://openalex.org/W2133665775","https://openalex.org/W2141695289","https://openalex.org/W2508457857","https://openalex.org/W2568393483","https://openalex.org/W2621235041","https://openalex.org/W2752881083","https://openalex.org/W2769764698","https://openalex.org/W2773708533","https://openalex.org/W2777741489","https://openalex.org/W2811168853","https://openalex.org/W2887579808","https://openalex.org/W2890272118","https://openalex.org/W2897079521","https://openalex.org/W2912268344","https://openalex.org/W2914729818","https://openalex.org/W2914992179","https://openalex.org/W2919115771","https://openalex.org/W2949631941","https://openalex.org/W2950217418","https://openalex.org/W2962864927","https://openalex.org/W2963200935","https://openalex.org/W2964046397","https://openalex.org/W2964121744","https://openalex.org/W3000775737","https://openalex.org/W3021916465","https://openalex.org/W4242059867","https://openalex.org/W6631190155","https://openalex.org/W6674855086","https://openalex.org/W6758681311"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W3135697610","https://openalex.org/W4375867731","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2498789492","https://openalex.org/W2171299904"],"abstract_inverted_index":{"The":[0,16,154],"visual":[1],"quality":[2,20],"of":[3,19,166],"magnetic":[4],"resonance":[5],"images":[6],"(MRIs)":[7],"is":[8,22,144],"crucial":[9],"for":[10],"clinical":[11,187],"diagnosis":[12],"and":[13,57,60,94,114,158,188],"scientific":[14],"research.":[15],"main":[17],"source":[18],"degradation":[21],"the":[23,43,51,64,74,102,122,138,178],"noise":[24],"generated":[25],"during":[26],"MRI":[27,31,190],"acquisition.":[28],"Although":[29],"denoising":[30,183],"by":[32,77,86,130,162],"deep":[33,44,80],"learning":[34,45],"methods":[35,46,184],"shows":[36],"great":[37],"superiority":[38],"compared":[39],"with":[40],"traditional":[41],"methods,":[42],"reported":[47],"to":[48],"date":[49],"in":[50,66,140,185],"literature":[52],"cannot":[53,61],"simultaneously":[54],"leverage":[55],"long-range":[56,112],"hierarchical":[58,116],"information,":[59],"adequately":[62],"utilize":[63],"similarity":[65,139],"3D":[67,133,141],"MRI.":[68,142],"In":[69],"this":[70],"paper,":[71],"we":[72,120],"address":[73],"two":[75],"issues":[76],"proposing":[78],"a":[79,87,148,163],"adaptive":[81,96,123,152,156],"blending":[82,97,124,155],"network":[83,164],"(DABN)":[84],"characterized":[85],"large":[88,103,168],"receptive":[89,104,169],"field":[90,105,170],"residual":[91,106,159,171],"dense":[92,107,172],"block":[93,108],"an":[95],"method.":[98],"We":[99],"first":[100],"propose":[101,121],"that":[109,126,177],"can":[110],"capture":[111],"information":[113],"fuse":[115],"features":[117],"simultaneously.":[118],"Then":[119],"method":[125],"produces":[127],"denoised":[128],"pixels":[129],"adaptively":[131],"filtering":[132],"MRI,":[134],"which":[135],"explicitly":[136],"utilizes":[137],"Residual":[143],"also":[145],"considered":[146],"as":[147],"compensating":[149],"item":[150],"after":[151],"filtering.":[153],"filter":[157],"are":[160],"predicted":[161],"consisting":[165],"several":[167],"blocks.":[173],"Experimental":[174],"results":[175],"show":[176],"proposed":[179],"DABN":[180],"outperforms":[181],"state-of-the-art":[182],"both":[186],"simulated":[189],"data.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
