{"id":"https://openalex.org/W2908300307","doi":"https://doi.org/10.1109/tmi.2018.2859478","title":"Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning","display_name":"Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning","publication_year":2018,"publication_date":"2018-07-25","ids":{"openalex":"https://openalex.org/W2908300307","doi":"https://doi.org/10.1109/tmi.2018.2859478","mag":"2908300307","pmid":"https://pubmed.ncbi.nlm.nih.gov/30047874"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2018.2859478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2859478","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":true,"oa_status":"green","oa_url":"https://pure.eur.nl/en/publications/a5d0b841-63d6-4378-85f0-414611ba69f3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082259734","display_name":"Annegreet van Opbroek","orcid":"https://orcid.org/0000-0002-3731-0497"},"institutions":[{"id":"https://openalex.org/I2802849423","display_name":"University Medical Center","ror":"https://ror.org/036pt7h44","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2802849423"]},{"id":"https://openalex.org/I907135538","display_name":"Rotterdam University of Applied Sciences","ror":"https://ror.org/0481e1q24","country_code":"NL","type":"education","lineage":["https://openalex.org/I907135538"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Annegreet Van Opbroek","raw_affiliation_strings":["Biomedical Imaging Group Rotterdam, University Medical Center Rotterdam, Rotterdam, CA, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-3731-0497","affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group Rotterdam, University Medical Center Rotterdam, Rotterdam, CA, The Netherlands","institution_ids":["https://openalex.org/I907135538","https://openalex.org/I2802849423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087305397","display_name":"Hakim C. Achterberg","orcid":"https://orcid.org/0000-0003-3772-4582"},"institutions":[{"id":"https://openalex.org/I2802849423","display_name":"University Medical Center","ror":"https://ror.org/036pt7h44","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2802849423"]},{"id":"https://openalex.org/I907135538","display_name":"Rotterdam University of Applied Sciences","ror":"https://ror.org/0481e1q24","country_code":"NL","type":"education","lineage":["https://openalex.org/I907135538"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Hakim C. Achterberg","raw_affiliation_strings":["Biomedical Imaging Group Rotterdam, University Medical Center Rotterdam, Rotterdam, CA, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-3772-4582","affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group Rotterdam, University Medical Center Rotterdam, Rotterdam, CA, The Netherlands","institution_ids":["https://openalex.org/I907135538","https://openalex.org/I2802849423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013665840","display_name":"Meike W. Vernooij","orcid":"https://orcid.org/0000-0003-4658-2176"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Meike W. Vernooij","raw_affiliation_strings":["Departments of Radiology and Epidemiology of the Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-4658-2176","affiliations":[{"raw_affiliation_string":"Departments of Radiology and Epidemiology of the Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023677285","display_name":"Marleen de Bruijne","orcid":"https://orcid.org/0000-0002-6328-902X"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Marleen De Bruijne","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Copenhagen, Denmark"],"raw_orcid":"https://orcid.org/0000-0002-6328-902X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6028,"has_fulltext":true,"cited_by_count":97,"citation_normalized_percentile":{"value":0.97776342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"38","issue":"1","first_page":"213","last_page":"224"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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/T10057","display_name":"Face and Expression Recognition","score":0.9965000152587891,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7198936939239502},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.66977858543396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6298339366912842},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6276911497116089},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5746992230415344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5058093070983887},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47278356552124023},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46164506673812866},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43682968616485596},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.43092596530914307},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42948147654533386},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.42505979537963867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23612365126609802},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07565438747406006}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7198936939239502},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.66977858543396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298339366912842},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6276911497116089},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5746992230415344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5058093070983887},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47278356552124023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46164506673812866},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43682968616485596},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.43092596530914307},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42948147654533386},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.42505979537963867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23612365126609802},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07565438747406006},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","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":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":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006624","descriptor_name":"Hippocampus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1109/tmi.2018.2859478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2859478","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:30047874","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30047874","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},{"id":"pmh:oai:pure.eur.nl:openaire/a5d0b841-63d6-4378-85f0-414611ba69f3","is_oa":true,"landing_page_url":"https://pure.eur.nl/en/publications/a5d0b841-63d6-4378-85f0-414611ba69f3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Opbroek, A, Achterberg, H, Vernooij, M & de Bruijne, M 2019, 'Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning', IEEE Transactions on Medical Imaging, vol. 38, no. 1, pp. 213-224. https://doi.org/10.1109/tmi.2018.2859478","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/5dff0c02-98bd-4eb2-b457-0eda4ee6cb7e","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/5dff0c02-98bd-4eb2-b457-0eda4ee6cb7e","pdf_url":"https://curis.ku.dk/ws/files/203169923/Opbroek_TMI18_own.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"van Opbroek , A , Achterberg , H C , Vernooij , M W & de Bruijne , M 2019 , ' Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning ' , IEEE Transactions on Medical Imaging , vol. 38 , no. 1 , 8419778 , pp. 213-224 . https://doi.org/10.1109/TMI.2018.2859478","raw_type":"article"},{"id":"pmh:eur:oai:repub.eur.nl:109622","is_oa":true,"landing_page_url":"http://hdl.handle.net/1765/109622","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/5dff0c02-98bd-4eb2-b457-0eda4ee6cb7e","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85050597954&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:repub.eur.nl:109622","is_oa":true,"landing_page_url":"http://repub.eur.nl/pub/109622","pdf_url":null,"source":{"id":"https://openalex.org/S4306400997","display_name":"RePub (Erasmus University, Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.eur.nl:openaire/a5d0b841-63d6-4378-85f0-414611ba69f3","is_oa":true,"landing_page_url":"https://pure.eur.nl/en/publications/a5d0b841-63d6-4378-85f0-414611ba69f3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Opbroek, A, Achterberg, H, Vernooij, M & de Bruijne, M 2019, 'Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning', IEEE Transactions on Medical Imaging, vol. 38, no. 1, pp. 213-224. https://doi.org/10.1109/tmi.2018.2859478","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1012222616","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320309432","funder_display_name":"F. Hoffmann-La Roche"},{"id":"https://openalex.org/G1298807586","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320327918","funder_display_name":"H. Lundbeck A/S"},{"id":"https://openalex.org/G1336222015","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G1554142629","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320322148","funder_display_name":"Eisai"},{"id":"https://openalex.org/G1593117279","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320309470","funder_display_name":"Meso Scale Diagnostics"},{"id":"https://openalex.org/G1650819308","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320308604","funder_display_name":"Biogen"},{"id":"https://openalex.org/G1880935189","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320327918","funder_display_name":"H. Lundbeck A/S"},{"id":"https://openalex.org/G2100670906","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320310388","funder_display_name":"Novartis Pharmaceuticals Corporation"},{"id":"https://openalex.org/G2152643862","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320311551","funder_display_name":"Northern California Institute for Research and Education"},{"id":"https://openalex.org/G2189010064","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G2340207221","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320310045","funder_display_name":"BioClinica"},{"id":"https://openalex.org/G2471646051","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320327918","funder_display_name":"H. Lundbeck A/S"},{"id":"https://openalex.org/G2522063444","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320332193","funder_display_name":"Genentech"},{"id":"https://openalex.org/G29951154","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320309697","funder_display_name":"Alzheimer's Disease Neuroimaging Initiative"},{"id":"https://openalex.org/G3131374986","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320307115","funder_display_name":"Bristol-Myers Squibb"},{"id":"https://openalex.org/G3216574877","display_name":null,"funder_award_id":"W81XWH-12-2-","funder_id":"https://openalex.org/F4320309697","funder_display_name":"Alzheimer's Disease Neuroimaging Initiative"},{"id":"https://openalex.org/G3553156159","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320307115","funder_display_name":"Bristol-Myers Squibb"},{"id":"https://openalex.org/G3710456697","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320307758","funder_display_name":"Eli Lilly and Company"},{"id":"https://openalex.org/G3752451908","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320327235","funder_display_name":"Servier"},{"id":"https://openalex.org/G3870774570","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320332193","funder_display_name":"Genentech"},{"id":"https://openalex.org/G3890809913","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320309697","funder_display_name":"Alzheimer's Disease Neuroimaging Initiative"},{"id":"https://openalex.org/G3908963977","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320334506","funder_display_name":"Canadian Institutes of Health Research"},{"id":"https://openalex.org/G3966393351","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320309432","funder_display_name":"F. Hoffmann-La Roche"},{"id":"https://openalex.org/G4119534169","display_name":null,"funder_award_id":"W81XWH","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G43180419","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320322148","funder_display_name":"Eisai"},{"id":"https://openalex.org/G4475667458","display_name":null,"funder_award_id":"W81XWH-12-2-","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G4501223628","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320329118","funder_display_name":"IXICO"},{"id":"https://openalex.org/G4558216502","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4800177743","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320310045","funder_display_name":"BioClinica"},{"id":"https://openalex.org/G5207404921","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320306219","funder_display_name":"Alzheimer's Association"},{"id":"https://openalex.org/G5209990037","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320307765","funder_display_name":"Pfizer"},{"id":"https://openalex.org/G528601746","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320334506","funder_display_name":"Canadian Institutes of Health Research"},{"id":"https://openalex.org/G5365730499","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320308668","funder_display_name":"University of Southern California"},{"id":"https://openalex.org/G5654639750","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320310045","funder_display_name":"BioClinica"},{"id":"https://openalex.org/G5740349702","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320309470","funder_display_name":"Meso Scale Diagnostics"},{"id":"https://openalex.org/G5850682332","display_name":null,"funder_award_id":"W81XWH","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G613619302","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320310388","funder_display_name":"Novartis Pharmaceuticals Corporation"},{"id":"https://openalex.org/G6173816828","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320307765","funder_display_name":"Pfizer"},{"id":"https://openalex.org/G6210868510","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320308604","funder_display_name":"Biogen"},{"id":"https://openalex.org/G6371410416","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320308604","funder_display_name":"Biogen"},{"id":"https://openalex.org/G6412110892","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320332193","funder_display_name":"Genentech"},{"id":"https://openalex.org/G6447063303","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320309470","funder_display_name":"Meso Scale Diagnostics"},{"id":"https://openalex.org/G6719828067","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320329118","funder_display_name":"IXICO"},{"id":"https://openalex.org/G6792506723","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320307115","funder_display_name":"Bristol-Myers Squibb"},{"id":"https://openalex.org/G6899163935","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320322148","funder_display_name":"Eisai"},{"id":"https://openalex.org/G6948409098","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320309432","funder_display_name":"F. Hoffmann-La Roche"},{"id":"https://openalex.org/G72415811","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320311551","funder_display_name":"Northern California Institute for Research and Education"},{"id":"https://openalex.org/G7298697282","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320329118","funder_display_name":"IXICO"},{"id":"https://openalex.org/G7637995368","display_name":null,"funder_award_id":"639.022.010","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G764699806","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7799614282","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320307765","funder_display_name":"Pfizer"},{"id":"https://openalex.org/G781725486","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320307758","funder_display_name":"Eli Lilly and Company"},{"id":"https://openalex.org/G7854119329","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G8228018387","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320306219","funder_display_name":"Alzheimer's Association"},{"id":"https://openalex.org/G8281378126","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320327235","funder_display_name":"Servier"},{"id":"https://openalex.org/G839208290","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320310388","funder_display_name":"Novartis Pharmaceuticals Corporation"},{"id":"https://openalex.org/G8852128998","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320327235","funder_display_name":"Servier"},{"id":"https://openalex.org/G8895907669","display_name":null,"funder_award_id":"AG024904","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G8897063270","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320308668","funder_display_name":"University of Southern California"},{"id":"https://openalex.org/G8940068167","display_name":null,"funder_award_id":"U01 AG024904","funder_id":"https://openalex.org/F4320309697","funder_display_name":"Alzheimer's Disease Neuroimaging Initiative"},{"id":"https://openalex.org/G8957659042","display_name":null,"funder_award_id":"W81XWH-12-2-0012","funder_id":"https://openalex.org/F4320307758","funder_display_name":"Eli Lilly and Company"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320306219","display_name":"Alzheimer's Association","ror":"https://ror.org/0375f4d26"},{"id":"https://openalex.org/F4320307115","display_name":"Bristol-Myers Squibb","ror":"https://ror.org/00gtmwv55"},{"id":"https://openalex.org/F4320307758","display_name":"Eli Lilly and Company","ror":"https://ror.org/01qat3289"},{"id":"https://openalex.org/F4320307765","display_name":"Pfizer","ror":"https://ror.org/01xdqrp08"},{"id":"https://openalex.org/F4320308604","display_name":"Biogen","ror":"https://ror.org/02jqkb192"},{"id":"https://openalex.org/F4320308668","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60"},{"id":"https://openalex.org/F4320309432","display_name":"F. Hoffmann-La Roche","ror":"https://ror.org/00by1q217"},{"id":"https://openalex.org/F4320309470","display_name":"Meso Scale Diagnostics","ror":"https://ror.org/05jgy0m16"},{"id":"https://openalex.org/F4320309697","display_name":"Alzheimer's Disease Neuroimaging Initiative","ror":"https://ror.org/01j20wc74"},{"id":"https://openalex.org/F4320310045","display_name":"BioClinica","ror":"https://ror.org/03t95yr58"},{"id":"https://openalex.org/F4320310388","display_name":"Novartis Pharmaceuticals Corporation","ror":"https://ror.org/028fhxy95"},{"id":"https://openalex.org/F4320311551","display_name":"Northern California Institute for Research and Education","ror":"https://ror.org/05p48p517"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"},{"id":"https://openalex.org/F4320322148","display_name":"Eisai","ror":"https://ror.org/04vvh7p27"},{"id":"https://openalex.org/F4320327235","display_name":"Servier","ror":"https://ror.org/034e7c066"},{"id":"https://openalex.org/F4320327918","display_name":"H. Lundbeck A/S","ror":null},{"id":"https://openalex.org/F4320329118","display_name":"IXICO","ror":"https://ror.org/00paezp73"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332193","display_name":"Genentech","ror":"https://ror.org/04gndp242"},{"id":"https://openalex.org/F4320332603","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48"},{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2526871","https://openalex.org/W1560724230","https://openalex.org/W1587559447","https://openalex.org/W1605218991","https://openalex.org/W1722318740","https://openalex.org/W1794121648","https://openalex.org/W1920328734","https://openalex.org/W1987869189","https://openalex.org/W1995064441","https://openalex.org/W2002870907","https://openalex.org/W2018017287","https://openalex.org/W2028094999","https://openalex.org/W2041732401","https://openalex.org/W2071467620","https://openalex.org/W2071617033","https://openalex.org/W2071881327","https://openalex.org/W2090923791","https://openalex.org/W2094286293","https://openalex.org/W2102653483","https://openalex.org/W2109743529","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2116949112","https://openalex.org/W2117340355","https://openalex.org/W2119821739","https://openalex.org/W2120149881","https://openalex.org/W2122502207","https://openalex.org/W2129905273","https://openalex.org/W2133287637","https://openalex.org/W2143529102","https://openalex.org/W2145661921","https://openalex.org/W2146691973","https://openalex.org/W2148157540","https://openalex.org/W2153635508","https://openalex.org/W2165698076","https://openalex.org/W2165840723","https://openalex.org/W2189810169","https://openalex.org/W2284198383","https://openalex.org/W2332066482","https://openalex.org/W2437180782","https://openalex.org/W2562469482","https://openalex.org/W2575552683","https://openalex.org/W3104258355","https://openalex.org/W3195149063","https://openalex.org/W4205923499","https://openalex.org/W4239510810","https://openalex.org/W4248721357","https://openalex.org/W6636198569","https://openalex.org/W6637542466","https://openalex.org/W6640308425","https://openalex.org/W6676840641","https://openalex.org/W6731131025","https://openalex.org/W6805822039"],"related_works":["https://openalex.org/W2204605857","https://openalex.org/W3196005494","https://openalex.org/W2069318476","https://openalex.org/W2170380303","https://openalex.org/W1996489018","https://openalex.org/W2093085045","https://openalex.org/W2131637713","https://openalex.org/W1538326369","https://openalex.org/W2386159816","https://openalex.org/W29240789"],"abstract_inverted_index":{"Many":[0],"medical":[1],"image":[2,124,131,151,171,191,195],"segmentation":[3,164],"methods":[4,14],"are":[5],"based":[6],"on":[7,156,179],"the":[8,28,32,82,88,117,147],"supervised":[9],"classification":[10],"of":[11,27,81,87,120,150],"voxels.":[12],"Such":[13],"generally":[15],"perform":[16],"well":[17],"when":[18,38,173],"provided":[19],"with":[20],"a":[21,79,105,129,207],"training":[22,39,62,83,111,141],"set":[23],"that":[24,78,134,166],"is":[25,85],"representative":[26,86],"test":[29,41,89,113,143],"images":[30,63],"to":[31,49,65,71,107,188],"segment.":[33],"However,":[34,75],"problems":[35],"may":[36],"arise":[37],"and":[40,112,115,142,153,162,170,197],"data":[42,84,96,114],"follow":[43],"different":[44],"distributions,":[45],"for":[46,123],"example,":[47],"due":[48],"differences":[50,109],"in":[51,211],"scanners,":[52],"scanning":[53],"protocols,":[54],"or":[55,203],"patient":[56],"groups.":[57],"Under":[58],"such":[59],"conditions,":[60],"weighting":[61,132,184,192,196],"according":[64],"distribution":[66],"similarity":[67],"have":[68],"been":[69],"shown":[70],"greatly":[72,176],"improve":[73,177],"performance.":[74,212],"this":[76],"assumes":[77],"part":[80],"data;":[90],"it":[91],"does":[92],"not":[93],"make":[94],"unrepresentative":[95],"more":[97],"similar.":[98],"We,":[99],"therefore,":[100],"investigate":[101],"kernel":[102,121,168,198],"learning":[103,122,169],"as":[104],"way":[106],"reduce":[108],"between":[110,140],"explore":[116],"added":[118],"value":[119],"weighting.":[125],"We":[126],"also":[127],"propose":[128],"new":[130],"method":[133],"minimizes":[135],"maximum":[136],"mean":[137],"discrepancy":[138],"(MMD)":[139],"data,":[144],"which":[145],"enables":[146],"joint":[148],"optimization":[149],"weights":[152],"kernel.":[154],"Experiments":[155],"brain":[157],"tissue,":[158],"white":[159],"matter":[160],"lesion,":[161],"hippocampus":[163],"show":[165],"both":[167],"weighting,":[172],"used":[174],"separately,":[175],"performance":[178,187],"heterogeneous":[180],"data.":[181],"Here,":[182],"MMD":[183],"obtains":[185],"similar":[186],"previously":[189],"proposed":[190],"methods.":[193],"Combining":[194],"learning,":[199],"optimized":[200],"either":[201],"individually":[202],"jointly,":[204],"can":[205],"give":[206],"small":[208],"additional":[209],"improvement":[210]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":13}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}