{"id":"https://openalex.org/W4416770171","doi":"https://doi.org/10.1109/isbi61048.2026.11515342","title":"Lungevaty: A Scalable, Open-Source Transformer-Based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening","display_name":"Lungevaty: A Scalable, Open-Source Transformer-Based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W4416770171","doi":"https://doi.org/10.1109/isbi61048.2026.11515342"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.20116","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017173710","display_name":"Johannes Brandt","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Brandt","raw_affiliation_strings":["Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054094033","display_name":"Maulik Chevli","orcid":"https://orcid.org/0009-0000-8950-1642"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maulik Chevli","raw_affiliation_strings":["Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014611590","display_name":"Rickmer Braren","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rickmer Braren","raw_affiliation_strings":["Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000554104","display_name":"Georgios Kaissis","orcid":"https://orcid.org/0000-0001-8382-8062"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georgios Kaissis","raw_affiliation_strings":["Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074684285","display_name":"Philip C. M\u00fcller","orcid":"https://orcid.org/0000-0001-8317-3449"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philip M\u00fcller","raw_affiliation_strings":["Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006461848","display_name":"Daniel Rueckert","orcid":"https://orcid.org/0000-0002-5683-5889"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Rueckert","raw_affiliation_strings":["Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.7757999897003174,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.7757999897003174,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.0949999988079071,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.026799999177455902,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6927000284194946},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6421999931335449},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.569599986076355},{"id":"https://openalex.org/keywords/lung-cancer-screening","display_name":"Lung cancer screening","score":0.49709999561309814},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4000999927520752},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.37700000405311584},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.36800000071525574}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7236999869346619},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6927000284194946},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6421999931335449},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.569599986076355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490000247955322},{"id":"https://openalex.org/C2777405583","wikidata":"https://www.wikidata.org/wiki/Q6704277","display_name":"Lung cancer screening","level":3,"score":0.49709999561309814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44269999861717224},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37709999084472656},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.37049999833106995},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C2778321237","wikidata":"https://www.wikidata.org/wiki/Q17125886","display_name":"National Lung Screening Trial","level":4,"score":0.35740000009536743},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.337799996137619},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3377000093460083},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2511.20116","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.20116","pdf_url":"https://arxiv.org/pdf/2511.20116","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2511.20116","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.20116","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.20116","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.20116","pdf_url":"https://arxiv.org/pdf/2511.20116","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5514519139","display_name":null,"funder_award_id":"101112135","funder_id":"https://openalex.org/F4320314169","funder_display_name":"Institute for Health Care Improvement"}],"funders":[{"id":"https://openalex.org/F4320314169","display_name":"Institute for Health Care Improvement","ror":null},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Lung":[0],"cancer":[1,74,174],"risk":[2,75,175],"estimation":[3],"is":[4],"gaining":[5],"increasing":[6],"importance":[7],"as":[8],"more":[9,137],"countries":[10],"introduce":[11],"population-wide":[12],"screening":[13,43,91],"programs":[14],"using":[15],"low-dose":[16],"CT":[17,140],"(LDCT).":[18],"As":[19],"imaging":[20,106],"volumes":[21,30],"grow,":[22],"scalable":[23],"methods":[24],"that":[25,161],"can":[26],"process":[27],"entire":[28],"lung":[29,57,73,173],"efficiently":[31],"are":[32],"essential":[33],"to":[34,93],"tap":[35],"into":[36],"the":[37,56],"full":[38],"potential":[39],"of":[40],"these":[41],"large":[42],"datasets.":[44],"Existing":[45],"approaches":[46],"either":[47],"over-rely":[48],"on":[49,84,136],"pixel-level":[50],"annotations,":[51],"limiting":[52],"scalability,":[53],"or":[54],"analyze":[55],"in":[58,169],"fragments,":[59],"weakening":[60],"performance.":[61],"We":[62],"present":[63],"LungEvaty,":[64],"a":[65,77,154],"fully":[66,158],"Transformer-based":[67],"framework":[68,152],"for":[69,101,145,149,166],"predicting":[70],"1-6":[71],"year":[72],"from":[76,89],"single":[78],"LDCT":[79],"scan.":[80],"The":[81],"model":[82],"operates":[83],"whole-lung":[85],"inputs,":[86],"learning":[87],"directly":[88],"large-scale":[90],"data":[92,107],"capture":[94],"comprehensive":[95],"anatomical":[96],"and":[97,108,147,157,171],"pathological":[98],"cues":[99],"relevant":[100],"malignancy":[102],"risk.":[103],"Using":[104],"only":[105],"no":[109],"region":[110],"supervision,":[111],"LungEvaty":[112,133],"matches":[113],"state-of-the-art":[114],"performance,":[115],"refinable":[116],"by":[117],"our":[118],"optional":[119],"Anatomically":[120],"Informed":[121],"Attention":[122],"Guidance":[123],"(AIAG)":[124],"loss,":[125],"which":[126],"encourages":[127],"anatomically":[128],"focused":[129],"attention.":[130],"In":[131],"total,":[132],"was":[134],"trained":[135],"than":[138],"90,000":[139],"scans,":[141],"including":[142],"over":[143],"28,000":[144],"fine-tuning":[146],"6,000":[148],"evaluation.":[150],"Our":[151],"offers":[153],"simple,":[155],"data-efficient,":[156],"open-source":[159],"solution":[160],"provides":[162],"an":[163],"extensible":[164],"foundation":[165],"future":[167],"research":[168],"longitudinal":[170],"multimodal":[172],"prediction.":[176]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-11-28T00:00:00"}