{"id":"https://openalex.org/W4360598889","doi":"https://doi.org/10.1109/isbi53787.2023.10230733","title":"Contrastive Learning for Regression in Multi-Site Brain Age Prediction","display_name":"Contrastive Learning for Regression in Multi-Site Brain Age Prediction","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4360598889","doi":"https://doi.org/10.1109/isbi53787.2023.10230733"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th 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/A5018312903","display_name":"Carlo Alberto Barbano","orcid":"https://orcid.org/0000-0001-9512-0440"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR","IT"],"is_corresponding":true,"raw_author_name":"Carlo Alberto Barbano","raw_affiliation_strings":["T&#x00E9;l&#x00E9;com Paris,LTCI,IP Paris","University of Turin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T&#x00E9;l&#x00E9;com Paris,LTCI,IP Paris","institution_ids":["https://openalex.org/I4210165912"]},{"raw_affiliation_string":"University of Turin","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076046242","display_name":"Benoit Dufumier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit Dufumier","raw_affiliation_strings":["T&#x00E9;l&#x00E9;com Paris,LTCI,IP Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T&#x00E9;l&#x00E9;com Paris,LTCI,IP Paris","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007095962","display_name":"\u00c9douard Duchesnay","orcid":"https://orcid.org/0000-0002-4073-3490"},"institutions":[{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Edouard Duchesnay","raw_affiliation_strings":["Universit&#x00E9; Paris-Saclay,NeuroSpin, CEA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris-Saclay,NeuroSpin, CEA","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079141778","display_name":"Marco Grangetto","orcid":"https://orcid.org/0000-0002-2709-7864"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Grangetto","raw_affiliation_strings":["University of Turin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turin","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103276787","display_name":"Pietro Gori","orcid":"https://orcid.org/0000-0003-3456-8529"},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pietro Gori","raw_affiliation_strings":["T&#x00E9;l&#x00E9;com Paris,LTCI,IP Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T&#x00E9;l&#x00E9;com Paris,LTCI,IP Paris","institution_ids":["https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018312903"],"corresponding_institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I55143463"],"apc_list":null,"apc_paid":null,"fwci":2.3217,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.90391572,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9987999796867371,"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":0.9987999796867371,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/overfitting","display_name":"Overfitting","score":0.9338779449462891},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7713592648506165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7217839956283569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7130190134048462},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.6471832990646362},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.631453812122345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5986987948417664},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.583210289478302},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5196872353553772},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4886501431465149},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42259305715560913},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30487877130508423},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13219618797302246},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11693120002746582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1145474910736084},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09210237860679626}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9338779449462891},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7713592648506165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217839956283569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7130190134048462},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.6471832990646362},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.631453812122345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5986987948417664},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.583210289478302},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5196872353553772},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4886501431465149},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42259305715560913},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30487877130508423},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13219618797302246},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11693120002746582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1145474910736084},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09210237860679626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2579617530","https://openalex.org/W2950086191","https://openalex.org/W2979557864","https://openalex.org/W2990366895","https://openalex.org/W3005680577","https://openalex.org/W3006047402","https://openalex.org/W3092783643","https://openalex.org/W3118062200","https://openalex.org/W3203607638","https://openalex.org/W4226046397","https://openalex.org/W4287812705","https://openalex.org/W4296182523","https://openalex.org/W4308829776","https://openalex.org/W4323073030","https://openalex.org/W6768403040","https://openalex.org/W6774314701","https://openalex.org/W6776700526","https://openalex.org/W6778102432","https://openalex.org/W6790734178","https://openalex.org/W6810737369","https://openalex.org/W6847016142"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W2490526372","https://openalex.org/W3099765033"],"abstract_inverted_index":{"Building":[0],"accurate":[1,31],"Deep":[2],"Learning":[3],"(DL)":[4],"models":[5,56],"for":[6,93],"brain":[7,95],"age":[8,96],"prediction":[9,97],"is":[10],"a":[11,87],"very":[12],"relevant":[13],"topic":[14],"in":[15,78],"neuroimaging,":[16],"as":[17],"it":[18],"could":[19],"help":[20],"better":[21],"understand":[22],"neurodegenerative":[23],"disorders":[24],"and":[25,32,44,115],"find":[26],"new":[27],"biomarkers.":[28],"To":[29],"estimate":[30],"generalizable":[33],"models,":[34],"large":[35,47],"datasets":[36],"have":[37,69],"been":[38,70],"collected,":[39],"which":[40],"are":[41,59],"often":[42],"multi-site":[43],"multi-scanner.":[45],"This":[46],"heterogeneity":[48],"negatively":[49],"affects":[50],"the":[51,107,111],"generalization":[52,113],"performance":[53,105],"of":[54],"DL":[55],"since":[57],"they":[58],"prone":[60],"to":[61,72,117],"overfit":[62],"site-related":[63,118],"noise.":[64,119],"Recently,":[65],"contrastive":[66,89],"learning":[67,90],"approaches":[68],"shown":[71],"be":[73],"more":[74],"robust":[75,94],"against":[76],"noise":[77],"data":[79],"or":[80],"labels.":[81],"For":[82],"this":[83],"reason,":[84],"we":[85],"propose":[86],"novel":[88],"regression":[91],"loss":[92],"using":[98],"MRI":[99],"scans.":[100],"Our":[101],"method":[102],"achieves":[103],"state-of-the-art":[104],"on":[106],"OpenBHB":[108],"challenge,":[109],"yielding":[110],"best":[112],"capability":[114],"robustness":[116]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}
