{"id":"https://openalex.org/W7160629382","doi":"https://doi.org/10.48550/arxiv.2605.05775","title":"The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\\unicode{x2013}$ Multitracer Multicenter Generalization","display_name":"The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\\unicode{x2013}$ Multitracer Multicenter Generalization","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160629382","doi":"https://doi.org/10.48550/arxiv.2605.05775"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.05775","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.05775","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066409108","display_name":"Jakob Dexl","orcid":"https://orcid.org/0000-0002-0617-0460"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dexl, Jakob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087382703","display_name":"Katharina Jeblick","orcid":"https://orcid.org/0000-0002-8678-7152"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeblick, Katharina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081006489","display_name":"Andreas Mittermeier","orcid":"https://orcid.org/0000-0001-5743-473X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mittermeier, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134722011","display_name":"Balthasar Schachtner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schachtner, Balthasar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020676803","display_name":"Anna Theresa St\u00fcber","orcid":"https://orcid.org/0000-0001-5236-4373"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"St\u00fcber, Anna Theresa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047255274","display_name":"Johanna Topalis","orcid":"https://orcid.org/0000-0002-8623-8110"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Topalis, Johanna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135657705","display_name":"Maximilian Rokuss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rokuss, Maximilian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135679549","display_name":"Fabian Isensee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Isensee, Fabian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135721322","display_name":"Klaus H. Maier-Hein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maier-Hein, Klaus H.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035348965","display_name":"Hamza Kalisch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kalisch, Hamza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135657739","display_name":"Jens Kleesiek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kleesiek, Jens","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135638649","display_name":"Constantin M. Seibold","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seibold, Constantin M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135643595","display_name":"Hussain Alasmawi","orcid":"https://orcid.org/0000-0002-5404-8849"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alasmawi, Hussain","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114368260","display_name":"Lap Yan Lennon Chan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chan, Lap Yan Lennon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073968803","display_name":"Yixuan Yuan","orcid":"https://orcid.org/0000-0002-0853-6948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Yixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051426025","display_name":"Alexander Jaus","orcid":"https://orcid.org/0000-0002-0669-0300"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaus, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135710528","display_name":"Rainer Stiefelhagen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stiefelhagen, Rainer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092776605","display_name":"Pauline Ornela Megne Choudja","orcid":"https://orcid.org/0009-0001-0297-5405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choudja, Pauline Ornela Megne","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135648226","display_name":"Konstantin Nikolaou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikolaou, Konstantin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135723067","display_name":"Christian La Foug\u00e8re","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"La Foug\u00e8re, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135673712","display_name":"Sergios Gatidis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gatidis, Sergios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135673573","display_name":"Matthias P. Fabritius","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabritius, Matthias P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135666265","display_name":"Maurice Heimer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heimer, Maurice","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092274345","display_name":"Gizem Abaci","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abaci, Gizem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028199007","display_name":"Lalith Kumar Shiyam Sundar","orcid":"https://orcid.org/0000-0003-3004-7937"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sundar, Lalith Kumar Shiyam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135702878","display_name":"Rudolf A. Werner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Werner, Rudolf A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135674445","display_name":"Jens Ricke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ricke, Jens","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135678969","display_name":"Clemens C. Cyran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cyran, Clemens C.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135724043","display_name":"Thomas K\u00fcstner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00fcstner, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000640247","display_name":"Michael Ingrisch","orcid":"https://orcid.org/0000-0003-0268-9078"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ingrisch, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9176999926567078,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9176999926567078,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.04390000179409981,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.007000000216066837,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7918000221252441},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7781999707221985},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.7721999883651733},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7002000212669373},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4672999978065491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4634999930858612},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43149998784065247},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4244000017642975}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7918000221252441},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7781999707221985},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.7721999883651733},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7002000212669373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6664000153541565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295999884605408},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4634999930858612},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4244000017642975},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38670000433921814},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2689000070095062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.05775","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"doi:10.48550/arxiv.2605.05775","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"report":[1],"the":[2,7,34,44,50,84,140,148,162,166,177,228],"design":[3],"and":[4,38,124,138,157,179,195,219],"results":[5],"of":[6,64,72,86,118,121,126,173,230],"third":[8],"autoPET":[9],"challenge":[10],"(MICCAI":[11],"2024),":[12],"which":[13,73],"benchmarked":[14],"automated":[15],"lesion":[16,180],"segmentation":[17,174,192],"in":[18],"whole-body":[19],"PET/CT":[20,31,41,56,108,191],"under":[21],"a":[22,94,115],"compositional":[23,76,201],"generalization":[24,202],"setting.":[25],"Training":[26],"data":[27,87],"comprised":[28],"1,014":[29],"[18F]-FDG":[30],"studies":[32,42,66],"from":[33,43],"University":[35,46],"Hospital":[36,47],"T\u00fcbingen":[37],"597":[39],"[18F]/[68Ga]-PSMA":[40],"LMU":[45],"Munich,":[48],"constituting":[49],"largest":[51],"publicly":[52],"available":[53],"annotated":[54],"PSMA":[55],"dataset":[57],"to":[58,93,147,203],"date.":[59],"The":[60,111],"held-out":[61],"test":[62,132],"set":[63],"200":[65],"covered":[67],"four":[68,131],"tracer-center":[69,205],"combinations,":[70],"two":[71],"represented":[74],"unseen":[75,204],"pairings.":[77],"A":[78],"complementary":[79],"data-centric":[80],"award":[81],"category":[82],"isolated":[83],"contribution":[85],"handling":[88],"strategies":[89],"by":[90,136,143,213],"restricting":[91],"participants":[92],"fixed":[95],"baseline":[96],"model.":[97],"Seventeen":[98],"teams":[99],"submitted":[100],"27":[101],"algorithms,":[102],"predominantly":[103],"nnU-Net-based":[104],"3D":[105],"networks":[106],"with":[107],"channel":[109],"concatenation.":[110],"top-ranked":[112,233],"algorithm":[113,231],"achieved":[114],"mean":[116],"DSC":[117,135],"0.66,":[119],"FNV":[120],"3.18":[122],"mL,":[123],"FPV":[125],"2.78":[127],"mL":[128,145],"across":[129,154],"all":[130],"conditions,":[133],"improving":[134],"8%":[137],"reducing":[139],"false-negative":[141],"volume":[142,215],"5":[144],"relative":[146],"provided":[149],"baseline.":[150],"Ranking":[151],"was":[152],"stable":[153],"bootstrap":[155],"resampling":[156],"alternative":[158],"ranking":[159],"schemes":[160],"for":[161],"top":[163],"tier.":[164],"Beyond":[165],"benchmark,":[167],"we":[168],"provide":[169],"an":[170,208],"in-depth":[171],"analysis":[172],"performance":[175,223],"at":[176],"patient":[178],"level.":[181],"Three":[182],"main":[183],"conclusions":[184],"can":[185],"be":[186],"drawn:":[187],"(1)":[188],"in-domain":[189],"multitracer":[190],"is":[193],"sufficient":[194],"probably":[196],"approaching":[197],"reader":[198],"agreement;":[199],"(2)":[200],"combinations":[206],"remains":[207],"open":[209],"problem":[210],"mainly":[211],"driven":[212],"systematic":[214],"overestimation;":[216],"(3)":[217],"heterogeneity":[218],"case":[220],"difficulty":[221],"drive":[222],"variation":[224],"substantially":[225],"more":[226],"than":[227],"choice":[229],"among":[232],"teams.":[234]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-09T00:00:00"}
