{"id":"https://openalex.org/W4283708942","doi":"https://doi.org/10.1109/jbhi.2022.3186882","title":"Attention-Based Dynamic Subspace Learners for Medical Image Analysis","display_name":"Attention-Based Dynamic Subspace Learners for Medical Image Analysis","publication_year":2022,"publication_date":"2022-06-28","ids":{"openalex":"https://openalex.org/W4283708942","doi":"https://doi.org/10.1109/jbhi.2022.3186882","pmid":"https://pubmed.ncbi.nlm.nih.gov/35763468"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3186882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3186882","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/A5053318852","display_name":"Sukesh Adiga Vasudeva","orcid":"https://orcid.org/0000-0001-9754-1548"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sukesh Adiga V","raw_affiliation_strings":["Department of Computer and Software Engineering at ETS Montreal, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering at ETS Montreal, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004770604","display_name":"Jos\u00e9 Dolz","orcid":"https://orcid.org/0000-0002-2436-7750"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jose Dolz","raw_affiliation_strings":["Department of Computer and Software Engineering at ETS Montreal, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering at ETS Montreal, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064644687","display_name":"Herv\u00e9 Lombaert","orcid":"https://orcid.org/0000-0002-3352-7533"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Herve Lombaert","raw_affiliation_strings":["Department of Computer and Software Engineering at ETS Montreal, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering at ETS Montreal, Montreal, QC, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053318852"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.414,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67334482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"26","issue":"9","first_page":"4599","last_page":"4610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9987999796867371,"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/T10862","display_name":"AI in cancer detection","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7503546476364136},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6786321401596069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6277593374252319},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5541104674339294},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5359642505645752},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5226247906684875},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4908960461616516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4836812913417816},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.47983381152153015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4224127233028412},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4119587242603302},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.4101710617542267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35867375135421753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12692046165466309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503546476364136},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6786321401596069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6277593374252319},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5541104674339294},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5359642505645752},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5226247906684875},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4908960461616516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4836812913417816},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.47983381152153015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4224127233028412},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4119587242603302},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.4101710617542267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35867375135421753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12692046165466309},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","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":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2022.3186882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3186882","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:35763468","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35763468","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:espace2.etsmtl.ca:25088","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/25088/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article publi\u00e9 dans une revue, r\u00e9vis\u00e9 par les pairs"},{"id":"pmh:oai:publications.polymtl.ca:57499","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/57499/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article de revue"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W1949591461","https://openalex.org/W1975517671","https://openalex.org/W2096733369","https://openalex.org/W2127589108","https://openalex.org/W2133126147","https://openalex.org/W2138621090","https://openalex.org/W2161236525","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2266768517","https://openalex.org/W2295107390","https://openalex.org/W2337429362","https://openalex.org/W2342045095","https://openalex.org/W2396622801","https://openalex.org/W2405223529","https://openalex.org/W2583578793","https://openalex.org/W2605102252","https://openalex.org/W2605214291","https://openalex.org/W2728648333","https://openalex.org/W2775397671","https://openalex.org/W2779066530","https://openalex.org/W2794825826","https://openalex.org/W2799738340","https://openalex.org/W2803124023","https://openalex.org/W2871579310","https://openalex.org/W2888358068","https://openalex.org/W2914959431","https://openalex.org/W2932083555","https://openalex.org/W2948077755","https://openalex.org/W2953508277","https://openalex.org/W2962723992","https://openalex.org/W2962858109","https://openalex.org/W2962926870","https://openalex.org/W2963026686","https://openalex.org/W2963350250","https://openalex.org/W2963379688","https://openalex.org/W2963495494","https://openalex.org/W2963744743","https://openalex.org/W2963953476","https://openalex.org/W2963988212","https://openalex.org/W2964140013","https://openalex.org/W2964271799","https://openalex.org/W2964416181","https://openalex.org/W2969656782","https://openalex.org/W2979476853","https://openalex.org/W3004758327","https://openalex.org/W3010143093","https://openalex.org/W3017153481","https://openalex.org/W3022730539","https://openalex.org/W3024591812","https://openalex.org/W3026809105","https://openalex.org/W3040525591","https://openalex.org/W3082604781","https://openalex.org/W3092571470","https://openalex.org/W3098754769","https://openalex.org/W3102785203","https://openalex.org/W3104368407","https://openalex.org/W3105141008","https://openalex.org/W3109386376","https://openalex.org/W3128741952","https://openalex.org/W3175456851","https://openalex.org/W3196967073","https://openalex.org/W3203528897","https://openalex.org/W4210880854","https://openalex.org/W4212930167","https://openalex.org/W4288278932","https://openalex.org/W6619034759","https://openalex.org/W6631190155","https://openalex.org/W6631611276","https://openalex.org/W6675751002","https://openalex.org/W6730323794","https://openalex.org/W6735013348","https://openalex.org/W6735236233","https://openalex.org/W6735632633","https://openalex.org/W6739917289","https://openalex.org/W6751554223","https://openalex.org/W6755052572","https://openalex.org/W6761152059","https://openalex.org/W6763071787","https://openalex.org/W6766394743","https://openalex.org/W6766991809","https://openalex.org/W6767551140"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"Learning":[0],"similarity":[1],"is":[2,64,140],"a":[3,38,45,60,155,171,256],"key":[4],"aspect":[5],"in":[6,11,15,22,30,82,188,218,266],"medical":[7],"image":[8,35,160,168,192,194],"analysis,":[9],"particularly":[10],"recommendation":[12],"systems":[13],"or":[14,54],"uncovering":[16],"the":[17,31,91,116,121,133,165,175,189,206,215,245,249,260],"interpretation":[18,273],"of":[19,47,79,84,93,118,123,136,158,167,174,180,191,208,220,248],"anatomical":[20],"data":[21],"images.":[23],"Most":[24],"existing":[25],"methods":[26],"learn":[27],"such":[28,50,57,137],"similarities":[29],"embedding":[32,176,250],"space":[33],"over":[34],"sets":[36,169],"using":[37,59],"single":[39,61],"metric":[40,62],"learner.":[41],"Images,":[42],"however,":[43,89],"have":[44],"variety":[46],"object":[48],"attributes":[49,58,81],"as":[51],"color,":[52],"shape,":[53],"artifacts.":[55],"Encoding":[56],"learner":[63],"inadequate":[65],"and":[66,125,170,196,212,222],"may":[67],"fail":[68],"to":[69,95,109,164,243,264,271],"generalize.":[70],"Instead,":[71],"multiple":[72,112,209],"learners":[73,94,113,124,129,185,210],"could":[74],"focus":[75],"on":[76,225],"separate":[77],"aspects":[78],"these":[80],"subspaces":[83],"an":[85,144,236],"overarching":[86],"embedding.":[87],"This,":[88],"implies":[90],"number":[92,122],"be":[96],"found":[97],"empirically":[98],"for":[99],"each":[100],"new":[101,127],"dataset.":[102],"This":[103,150],"work,":[104],"Dynamic":[105],"Subspace":[106],"Learners,":[107],"proposes":[108],"dynamically":[110],"exploit":[111],"by":[114,142],"removing":[115],"need":[117],"knowing":[119],"apriori":[120],"aggregating":[126],"subspace":[128,138,184],"during":[130,241],"training.":[131],"Furthermore,":[132],"visual":[134,156,172,246],"interpretability":[135,247],"learning":[139],"enforced":[141],"integrating":[143],"attention":[145,152,237,253],"module":[146],"into":[147],"our":[148,181,232],"method.":[149],"integrated":[151],"mechanism":[153],"provides":[154,235],"insight":[157],"discriminative":[159],"features":[161],"that":[162],"contribute":[163],"clustering":[166,221],"explanation":[173],"features.":[177,251],"The":[178],"benefits":[179],"attention-based":[182],"dynamic":[183],"are":[186],"evaluated":[187],"application":[190],"clustering,":[193],"retrieval,":[195],"weakly":[197],"supervised":[198],"segmentation.":[199],"Our":[200],"method":[201,233],"achieves":[202],"competitive":[203],"results":[204],"with":[205],"performances":[207],"baselines":[211],"significantly":[213],"outperforms":[214],"classification":[216],"network":[217],"terms":[219],"retrieval":[223],"scores":[224,268],"three":[226],"different":[227],"public":[228],"benchmark":[229],"datasets.":[230],"Moreover,":[231],"also":[234],"map":[238],"generated":[239],"directly":[240],"inference":[242],"illustrate":[244],"These":[252],"maps":[254],"offer":[255],"proxy-labels,":[257],"which":[258],"improves":[259],"segmentation":[261],"accuracy":[262],"up":[263],"15%":[265],"Dice":[267],"when":[269],"compared":[270],"state-of-the-art":[272],"techniques.":[274]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
