{"id":"https://openalex.org/W4392903411","doi":"https://doi.org/10.1109/icassp48485.2024.10447990","title":"Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40,000 Subjects of the UK Biobank","display_name":"Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40,000 Subjects of the UK Biobank","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903411","doi":"https://doi.org/10.1109/icassp48485.2024.10447990"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5053187239","display_name":"Veronika Ecker","orcid":"https://orcid.org/0000-0001-6477-0715"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Veronika Ecker","raw_affiliation_strings":["University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014816042","display_name":"Marcel Fr\u00fch","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Fr\u00fch","raw_affiliation_strings":["University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101717968","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-8322-117X"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart,Institute of Signal Processing and System Theory,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080097591","display_name":"Sergios Gatidis","orcid":"https://orcid.org/0000-0002-6928-4967"},"institutions":[{"id":"https://openalex.org/I143910747","display_name":"TH Bingen University of Applied Sciences","ror":"https://ror.org/01pxkj057","country_code":"DE","type":"education","lineage":["https://openalex.org/I143910747"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sergios Gatidis","raw_affiliation_strings":["University Hospital of T&#x00FC;bingen,MIDAS.lab,Department of Radiology,T&#x00FC;bingen,Germany"],"affiliations":[{"raw_affiliation_string":"University Hospital of T&#x00FC;bingen,MIDAS.lab,Department of Radiology,T&#x00FC;bingen,Germany","institution_ids":["https://openalex.org/I143910747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038862460","display_name":"Thomas K\u00fcstner","orcid":"https://orcid.org/0000-0002-0353-4898"},"institutions":[{"id":"https://openalex.org/I143910747","display_name":"TH Bingen University of Applied Sciences","ror":"https://ror.org/01pxkj057","country_code":"DE","type":"education","lineage":["https://openalex.org/I143910747"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas K\u00fcstner","raw_affiliation_strings":["University Hospital of T&#x00FC;bingen,MIDAS.lab,Department of Radiology,T&#x00FC;bingen,Germany"],"affiliations":[{"raw_affiliation_string":"University Hospital of T&#x00FC;bingen,MIDAS.lab,Department of Radiology,T&#x00FC;bingen,Germany","institution_ids":["https://openalex.org/I143910747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053187239"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":10.1372,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97819331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2255","last_page":"2259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9825000166893005,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9739000201225281,"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/biobank","display_name":"Biobank","score":0.8487043380737305},{"id":"https://openalex.org/keywords/biological-age","display_name":"Biological age","score":0.7828528881072998},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5333046317100525},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.40963125228881836},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.2654879093170166},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.23795703053474426},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.22740530967712402}],"concepts":[{"id":"https://openalex.org/C116567970","wikidata":"https://www.wikidata.org/wiki/Q864217","display_name":"Biobank","level":2,"score":0.8487043380737305},{"id":"https://openalex.org/C2991747559","wikidata":"https://www.wikidata.org/wiki/Q4915075","display_name":"Biological age","level":2,"score":0.7828528881072998},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5333046317100525},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40963125228881836},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.2654879093170166},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.23795703053474426},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.22740530967712402},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1974047233","https://openalex.org/W2021837150","https://openalex.org/W2082704080","https://openalex.org/W2101800098","https://openalex.org/W2121091193","https://openalex.org/W2159000911","https://openalex.org/W2602389303","https://openalex.org/W2752747624","https://openalex.org/W2803176574","https://openalex.org/W2919057641","https://openalex.org/W2952824318","https://openalex.org/W2965049427","https://openalex.org/W2967115688","https://openalex.org/W2986423238","https://openalex.org/W2990366895","https://openalex.org/W3014759889","https://openalex.org/W3082458882","https://openalex.org/W3125213214","https://openalex.org/W3133928772","https://openalex.org/W3136738297","https://openalex.org/W3137360389","https://openalex.org/W3191900348","https://openalex.org/W3215746504","https://openalex.org/W4200091570","https://openalex.org/W4200096016","https://openalex.org/W4223643417","https://openalex.org/W4236388726","https://openalex.org/W4285008596","https://openalex.org/W4308522228","https://openalex.org/W4310923730","https://openalex.org/W4362674168","https://openalex.org/W4383480517","https://openalex.org/W4385231886","https://openalex.org/W4385856012"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4285087457","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3113746618","https://openalex.org/W3091037936"],"abstract_inverted_index":{"Age":[0],"plays":[1],"an":[2,48,124,161],"important":[3],"role":[4],"in":[5,30,116],"shaping":[6],"medical":[7],"decisions,":[8],"but":[9],"the":[10,21,35,120,131],"biological":[11],"changes":[12],"associated":[13],"with":[14,123,137],"aging":[15,51],"do":[16],"not":[17],"solely":[18],"depend":[19],"on":[20],"chronological":[22,37,152],"age.":[23],"Genetics,":[24],"lifestyle,":[25],"and":[26,106,113,151,160],"environment":[27],"cause":[28],"variations":[29],"age-related":[31,141],"characteristics,":[32],"even":[33],"within":[34],"same":[36],"age":[38,41,63,80,87,109,135,147,153],"group.":[39],"Biological":[40],"(BA)":[42],"was":[43],"introduced":[44],"to":[45],"better":[46],"capture":[47],"individual\u2019s":[49],"actual":[50],"process,":[52],"although":[53],"its":[54],"imprecise":[55],"definition":[56],"remains":[57],"a":[58,94,145],"challenge.":[59],"Organ":[60],"systems":[61],"can":[62],"at":[64],"different":[65],"rates,":[66],"necessitating":[67],"organ-specific":[68,134],"BA":[69],"evaluation.":[70],"To":[71],"our":[72],"knowledge,":[73],"there":[74],"have":[75],"been":[76],"no":[77],"studies":[78],"assessing":[79],"regionally":[81],"across":[82,157],"multiple":[83],"organ":[84],"systems.":[85],"These":[86],"estimations,":[88],"reflecting":[89],"various":[90],"body":[91],"parts,":[92],"enable":[93],"comprehensive":[95],"patient-based":[96],"analysis.":[97],"We":[98,143],"conducted":[99],"brain,":[100],"heart,":[101],"kidney,":[102],"liver,":[103],"spleen,":[104],"pancreas,":[105],"retinal":[107],"fundus":[108],"estimations":[110],"using":[111],"MRI":[112],"OCT":[114],"scans":[115],"40,000":[117],"subjects":[118],"of":[119,133,140,154,166],"UK":[121],"Biobank":[122],"uncertainty-aware":[125],"ResNet-based":[126],"network.":[127],"Our":[128],"results":[129],"demonstrate":[130],"feasibility":[132],"estimation":[136],"cross-organ":[138],"correlations":[139],"changes.":[142],"achieve":[144],"mean":[146],"difference":[148],"between":[149],"predicted":[150],"2.72":[155],"years":[156],"all":[158],"organs":[159],"averaged":[162],"Pearson":[163],"correlation":[164],"coefficient":[165],"0.87.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}
