{"id":"https://openalex.org/W7202357653","doi":"https://doi.org/10.1109/icip61757.2026.11630134","title":"Bridging 2D Efficiency and 3D Context: A Memory-Guided Framework for Knee MRI Multi-Label Classification","display_name":"Bridging 2D Efficiency and 3D Context: A Memory-Guided Framework for Knee MRI Multi-Label Classification","publication_year":2026,"publication_date":"2026-08-13","ids":{"openalex":"https://openalex.org/W7202357653","doi":"https://doi.org/10.1109/icip61757.2026.11630134"},"language":"en","primary_location":{"id":"doi:10.1109/icip61757.2026.11630134","doi":"https://doi.org/10.1109/icip61757.2026.11630134","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip61757.2026.11630134","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icip61757.2026.11630134","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5146513625","display_name":"Khang Le Minh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I8775707","display_name":"Vietnamese-German University","ror":"https://ror.org/01jxtqc31","country_code":"VN","type":"education","lineage":["https://openalex.org/I8775707"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Khang Le Minh","raw_affiliation_strings":["Vietnamese German University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vietnamese German University","institution_ids":["https://openalex.org/I8775707"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147115642","display_name":"Huy Minh Nhat Nguyen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I8775707","display_name":"Vietnamese-German University","ror":"https://ror.org/01jxtqc31","country_code":"VN","type":"education","lineage":["https://openalex.org/I8775707"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Huy Minh Nhat Nguyen","raw_affiliation_strings":["Vietnamese German University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vietnamese German University","institution_ids":["https://openalex.org/I8775707"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138686233","display_name":"Cuong Tuan NGUYEN","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I8775707","display_name":"Vietnamese-German University","ror":"https://ror.org/01jxtqc31","country_code":"VN","type":"education","lineage":["https://openalex.org/I8775707"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Cuong Tuan Nguyen","raw_affiliation_strings":["Vietnamese German University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vietnamese German University","institution_ids":["https://openalex.org/I8775707"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8775707"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.649399995803833,"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"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.649399995803833,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.15230000019073486,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.044599998742341995,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/knee-mri","display_name":"knee MRI","score":0.9750000238418579},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"multi-label classification","score":0.9309999942779541},{"id":"https://openalex.org/keywords/knee-injury-diagnosis","display_name":"knee injury diagnosis","score":0.6940000057220459},{"id":"https://openalex.org/keywords/anatomical-segmentation","display_name":"anatomical segmentation","score":0.7049999833106995},{"id":"https://openalex.org/keywords/acl","display_name":"ACL","score":0.7350000143051147},{"id":"https://openalex.org/keywords/meniscus","display_name":"meniscus","score":0.9980000257492065},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.597000002861023},{"id":"https://openalex.org/keywords/mrnet","display_name":"MRNet","score":0.8339999914169312}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5990999937057495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536899983882904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5156999826431274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5019999742507935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.319599986076355},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip61757.2026.11630134","doi":"https://doi.org/10.1109/icip61757.2026.11630134","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip61757.2026.11630134","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icip61757.2026.11630134","doi":"https://doi.org/10.1109/icip61757.2026.11630134","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icip61757.2026.11630134","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2114253361","https://openalex.org/W2194775991","https://openalex.org/W2432481613","https://openalex.org/W2567121296","https://openalex.org/W2611213375","https://openalex.org/W2616247523","https://openalex.org/W2884585870","https://openalex.org/W2902874468","https://openalex.org/W2920972911","https://openalex.org/W3091281626","https://openalex.org/W3163368065","https://openalex.org/W4200356858","https://openalex.org/W4288068240","https://openalex.org/W4396218163","https://openalex.org/W4407164241","https://openalex.org/W4408671264","https://openalex.org/W4410604260","https://openalex.org/W7153824885"],"related_works":["https://openalex.org/W2912159498","https://openalex.org/W7160853096","https://openalex.org/W4409180148","https://openalex.org/W3176609432","https://openalex.org/W3153906167","https://openalex.org/W7213418818","https://openalex.org/W4410610143","https://openalex.org/W2568502461","https://openalex.org/W2888823281","https://openalex.org/W3198588968"],"abstract_inverted_index":{"Magnetic":[0],"Resonance":[1],"Imaging":[2],"(MRI)":[3],"plays":[4],"a":[5,60,72,131,165],"crucial":[6],"role":[7],"in":[8,35,124],"detecting":[9],"and":[10,33,38,67,84,150,168],"classifying":[11],"anatomical":[12,28,79,137],"structures.":[13],"However,":[14],"automated":[15,148],"analysis":[16],"of":[17],"medical":[18],"magnetic":[19],"resonance":[20],"imaging":[21],"remains":[22],"challenging":[23],"due":[24],"to":[25,52,77,133,141],"the":[26,31,36,95,113,117,135,145],"many":[27],"structures":[29],"(e.g.,":[30],"ACL":[32],"meniscus":[34],"knee)":[37],"surrounding":[39],"soft":[40],"tissues":[41],"that":[42,64,139],"have":[43],"very":[44],"similar":[45],"signal":[46],"intensities,":[47],"making":[48],"their":[49],"boundaries":[50],"difficult":[51],"classify":[53],"clearly.":[54],"In":[55,110],"this":[56],"paper,":[57],"we":[58],"present":[59],"lightweight,":[61,167],"end-to-end":[62],"framework":[63,120,163],"bridges":[65],"2D":[66],"3D":[68],"analysis.":[69],"By":[70,153],"using":[71],"multi-scale":[73,155],"center":[74],"cropping":[75],"strategy":[76],"capture":[78],"details":[80],"at":[81],"differing":[82],"resolutions":[83],"employing":[85],"task-aware":[86],"memory":[87],"with":[88,157],"depth-aware":[89],"attention,":[90],"our":[91,119,162],"method":[92],"automatically":[93],"classifies":[94],"most":[96],"diagnostic":[97],"angle":[98],"for":[99,107,116,171],"each":[100],"injury":[101],"while":[102,128],"maintaining":[103],"high":[104],"computational":[105],"efficiency":[106],"clinical":[108,151],"deployment.":[109],"evaluations":[111],"on":[112],"MRNet":[114],"dataset":[115],"knee,":[118],"demonstrates":[121],"excellent":[122],"performance":[123],"labeling":[125],"volumetric":[126],"sequences,":[127],"also":[129],"providing":[130],"mechanism":[132],"highlight":[134],"relevant":[136],"features":[138],"contribute":[140],"diagnosis,":[142],"thereby":[143],"bridging":[144],"gap":[146],"between":[147],"scores":[149],"reasoning.":[152],"combining":[154],"inputs":[156],"precise,":[158],"context-aware":[159],"feature":[160],"encoding,":[161],"provides":[164],"robust,":[166],"interpretable":[169],"solution":[170],"diagnosing":[172],"complex":[173],"knee":[174],"injuries.":[175]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-14T00:00:00"}