{"id":"https://openalex.org/W4410297551","doi":"https://doi.org/10.1109/isbi60581.2025.10980881","title":"BMENet: 3D Brain MRI Enhancement Against Various Degradations with Coarse to Fine Network","display_name":"BMENet: 3D Brain MRI Enhancement Against Various Degradations with Coarse to Fine Network","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410297551","doi":"https://doi.org/10.1109/isbi60581.2025.10980881"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5063716875","display_name":"Haoying Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4391768142","display_name":"State Key Laboratory of Cognitive Neuroscience and Learning","ror":"https://ror.org/059y0zb32","country_code":null,"type":"facility","lineage":["https://openalex.org/I25254941","https://openalex.org/I4391768142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoying Bai","raw_affiliation_strings":["Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing,China,100875"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing,China,100875","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4391768142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065207632","display_name":"Tongtong Che","orcid":"https://orcid.org/0000-0003-4993-0586"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4391768142","display_name":"State Key Laboratory of Cognitive Neuroscience and Learning","ror":"https://ror.org/059y0zb32","country_code":null,"type":"facility","lineage":["https://openalex.org/I25254941","https://openalex.org/I4391768142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongtong Che","raw_affiliation_strings":["Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing,China,100875"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing,China,100875","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4391768142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054039618","display_name":"J. L. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4391768142","display_name":"State Key Laboratory of Cognitive Neuroscience and Learning","ror":"https://ror.org/059y0zb32","country_code":null,"type":"facility","lineage":["https://openalex.org/I25254941","https://openalex.org/I4391768142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jichang Zhang","raw_affiliation_strings":["Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing,China,100875"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing,China,100875","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4391768142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100733003","display_name":"Shuyu Li","orcid":"https://orcid.org/0000-0002-3459-6821"},"institutions":[{"id":"https://openalex.org/I4391768142","display_name":"State Key Laboratory of Cognitive Neuroscience and Learning","ror":"https://ror.org/059y0zb32","country_code":null,"type":"facility","lineage":["https://openalex.org/I25254941","https://openalex.org/I4391768142"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyu Li","raw_affiliation_strings":["Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing,China,100875"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning,Beijing,China,100875","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4391768142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063716875"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4391768142"],"apc_list":null,"apc_paid":null,"fwci":0.898,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74661397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.984499990940094,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9785000085830688,"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":0.5570948123931885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5570948123931885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G7697010405","display_name":null,"funder_award_id":"32271146","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1592287264","https://openalex.org/W1974438823","https://openalex.org/W2117340355","https://openalex.org/W2887579808","https://openalex.org/W3033878890","https://openalex.org/W3033962650","https://openalex.org/W3207918547","https://openalex.org/W3211852642","https://openalex.org/W4210492483","https://openalex.org/W4297828517","https://openalex.org/W4300453014","https://openalex.org/W4312749295","https://openalex.org/W4383104596","https://openalex.org/W4390873054","https://openalex.org/W4396621855","https://openalex.org/W4400904439","https://openalex.org/W4404533930"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2],"(MRI)":[3],"is":[4,61,104,118,133],"crucial":[5],"for":[6],"medical":[7],"diagnosis":[8],"but":[9],"often":[10],"suffers":[11],"from":[12],"various":[13],"degradations,":[14],"such":[15],"as":[16],"noise,":[17],"motion":[18],"artifacts,":[19],"and":[20,46,69,128,140,163],"intensity":[21,70],"inhomogeneity,":[22],"leading":[23],"to":[24,63,85,106,120,135],"misdiagnoses":[25],"or":[26,38],"suboptimal":[27],"treatment":[28],"options.":[29],"Existing":[30],"methods":[31],"typically":[32],"focus":[33],"on":[34,145],"two-dimensional":[35],"(2D)":[36],"slices":[37],"individual":[39],"types":[40],"of":[41,89,176,184],"degradation,":[42],"which":[43,60,171],"limits":[44],"flexibility":[45],"applicability.":[47],"This":[48],"paper":[49],"proposes":[50],"BMENet:":[51],"a":[52,79,96,129],"two-stage":[53],"three-dimensional":[54],"(3D)":[55],"Brain":[56],"MRI":[57,148],"Enhancement":[58],"Network,":[59],"designed":[62],"simultaneously":[64],"handle":[65],"denoising,":[66],"artifact":[67],"removal,":[68],"inhomogeneity":[71],"correction.":[72],"In":[73],"the":[74,87,90,93,112,142,174,182],"first":[75],"stage,":[76,95,114],"we":[77,167],"use":[78],"2D":[80],"slice":[81],"coarse":[82],"enhancement":[83,183],"model":[84,103],"remove":[86],"bulk":[88],"degradation;":[91],"in":[92,111,160],"second":[94,113],"3D":[97],"fine":[98,122],"control":[99],"latent":[100],"diffusion":[101],"generation":[102],"used":[105,119],"restore":[107],"missing":[108],"details.":[109],"Additionally,":[110,166],"an":[115],"edge-sensitive":[116],"strategy":[117],"priority":[121],"structural":[123],"details":[124],"at":[125],"tissue":[126],"boundaries,":[127],"progressive":[130],"constraint":[131],"mechanism":[132],"applied":[134],"guide":[136],"recovery.":[137],"We":[138],"train":[139],"test":[141],"proposed":[143],"method":[144],"T1-weighted":[146],"brain":[147,177],"images.":[149,186],"Experimental":[150],"results":[151],"demonstrate":[152],"that":[153,173],"BMENet":[154],"outperforms":[155],"several":[156],"state-of-the-art":[157],"(SOTA)":[158],"techniques":[159],"both":[161],"quantitative":[162],"visual":[164],"evaluations.":[165],"conducted":[168],"segmentation":[169,175],"tests,":[170],"showed":[172],"regions":[178],"improved":[179],"significantly":[180],"after":[181],"degraded":[185],"The":[187],"relevant":[188],"code":[189],"can":[190],"be":[191],"found":[192],"at:":[193],"https://github.com/LSYLAB/BMENet.git.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}