{"id":"https://openalex.org/W4410296293","doi":"https://doi.org/10.1109/isbi60581.2025.10981221","title":"T2-Only Prostate Cancer Prediction by Meta-Learning from BI-Parametric MR Imaging","display_name":"T2-Only Prostate Cancer Prediction by Meta-Learning from BI-Parametric MR Imaging","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296293","doi":"https://doi.org/10.1109/isbi60581.2025.10981221"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10981221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd 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/A5101255845","display_name":"Weixi Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Weixi Yi","raw_affiliation_strings":["UCL Hawkes Institute, University College London,London,UK"],"affiliations":[{"raw_affiliation_string":"UCL Hawkes Institute, University College London,London,UK","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101401276","display_name":"Yipei Wang","orcid":"https://orcid.org/0000-0003-4952-6030"},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yipei Wang","raw_affiliation_strings":["UCL Hawkes Institute, University College London,London,UK"],"affiliations":[{"raw_affiliation_string":"UCL Hawkes Institute, University College London,London,UK","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100493992","display_name":"Natasha Thorley","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Natasha Thorley","raw_affiliation_strings":["University College London,Centre for Medical Imaging,London,UK"],"affiliations":[{"raw_affiliation_string":"University College London,Centre for Medical Imaging,London,UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091804752","display_name":"Alexander Ng","orcid":"https://orcid.org/0000-0001-5441-2017"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexander Ng","raw_affiliation_strings":["University College London,Division of Surgery & Interventional Science,London,UK"],"affiliations":[{"raw_affiliation_string":"University College London,Division of Surgery & Interventional Science,London,UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113046248","display_name":"Shonit Punwani","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shonit Punwani","raw_affiliation_strings":["University College London,Centre for Medical Imaging,London,UK"],"affiliations":[{"raw_affiliation_string":"University College London,Centre for Medical Imaging,London,UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046040598","display_name":"Veeru Kasivisvanathan","orcid":"https://orcid.org/0000-0002-0832-382X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Veeru Kasivisvanathan","raw_affiliation_strings":["University College London,Division of Surgery & Interventional Science,London,UK"],"affiliations":[{"raw_affiliation_string":"University College London,Division of Surgery & Interventional Science,London,UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066703217","display_name":"Dean C. Barratt","orcid":"https://orcid.org/0000-0003-2916-655X"},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dean C. Barratt","raw_affiliation_strings":["UCL Hawkes Institute, University College London,London,UK"],"affiliations":[{"raw_affiliation_string":"UCL Hawkes Institute, University College London,London,UK","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003506709","display_name":"Shaheer U. Saeed","orcid":"https://orcid.org/0000-0002-5004-0663"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shaheer U. Saeed","raw_affiliation_strings":["UCL Hawkes Institute, University College London,London,UK"],"affiliations":[{"raw_affiliation_string":"UCL Hawkes Institute, University College London,London,UK","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032309114","display_name":"Yipeng Hu","orcid":"https://orcid.org/0000-0003-4902-0486"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yipeng Hu","raw_affiliation_strings":["UCL Hawkes Institute, University College London,London,UK"],"affiliations":[{"raw_affiliation_string":"UCL Hawkes Institute, University College London,London,UK","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101255845"],"corresponding_institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":2.8753,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89904992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9864000082015991,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9864000082015991,"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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9764999747276306,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9732999801635742,"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/prostate-cancer","display_name":"Prostate cancer","score":0.6504132747650146},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5474836826324463},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5352995991706848},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5220996141433716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4421895146369934},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.4402191936969757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41068127751350403},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.41036856174468994},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.38022124767303467},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2013067603111267},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11887979507446289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10619178414344788},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06904032826423645}],"concepts":[{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6504132747650146},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5474836826324463},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5352995991706848},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5220996141433716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4421895146369934},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.4402191936969757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41068127751350403},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.41036856174468994},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.38022124767303467},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2013067603111267},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11887979507446289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10619178414344788},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06904032826423645},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10981221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd 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":19,"referenced_works":["https://openalex.org/W2018779708","https://openalex.org/W2046168168","https://openalex.org/W2067562626","https://openalex.org/W2150795960","https://openalex.org/W2577453388","https://openalex.org/W2845468986","https://openalex.org/W2904234367","https://openalex.org/W2999091210","https://openalex.org/W3014974815","https://openalex.org/W3039109876","https://openalex.org/W3110904741","https://openalex.org/W4283832923","https://openalex.org/W4388840678","https://openalex.org/W4396693025","https://openalex.org/W4401109885","https://openalex.org/W6639824700","https://openalex.org/W6779823529","https://openalex.org/W6788990321","https://openalex.org/W6946062826"],"related_works":["https://openalex.org/W3134325150","https://openalex.org/W299695548","https://openalex.org/W3210678099","https://openalex.org/W4200025911","https://openalex.org/W4405644996","https://openalex.org/W3015759778","https://openalex.org/W2088520467","https://openalex.org/W2075763133","https://openalex.org/W2376423713","https://openalex.org/W1583600832"],"abstract_inverted_index":{"Current":[0],"imaging-based":[1],"prostate":[2,52,127,139],"cancer":[3,53,128,140],"diagnosis":[4],"requires":[5],"both":[6,153],"MR":[7],"T2-weighted":[8],"(T2w)":[9],"and":[10,36,87,162],"diffusion-weighted":[11],"imaging":[12,39],"(DWI)":[13],"sequences,":[14,57],"with":[15,147,176],"additional":[16],"sequences":[17,29,96,117,154],"for":[18,100,166],"potentially":[19],"greater":[20],"accuracy":[21,49],"improvement.":[22],"However,":[23],"measuring":[24],"diffusion":[25],"patterns":[26],"in":[27,50,136],"DWI":[28,95],"can":[30],"be":[31],"time-consuming,":[32],"prone":[33],"to":[34,38,107,164],"artifacts":[35],"sensitive":[37],"parameters.":[40],"While":[41],"machine":[42],"learning":[43],"(ML)":[44],"models":[45,149,175],"have":[46],"demonstrated":[47],"radiologist-level":[48],"detecting":[51],"from":[54,123,174],"these":[55],"two":[56],"this":[58],"study":[59],"investigates":[60],"the":[61,68,79,167,170],"potential":[62],"of":[63,82],"ML-enabled":[64],"methods":[65],"using":[66,141,150],"only":[67,105,114],"T2w":[69,116],"sequence":[70],"as":[71,155],"input":[72,178],"during":[73],"inference":[74],"time.":[75],"We":[76],"first":[77,168],"discuss":[78],"technical":[80],"fea-sibility":[81],"such":[83],"a":[84,90,109],"T2-only":[85,144,151],"approach,":[86],"then":[88],"propose":[89],"novel":[91],"ML":[92],"formulation,":[93],"where":[94],"-":[97,103],"readily":[98],"available":[99,183],"training":[101],"purposes":[102],"are":[104,160],"used":[106],"train":[108],"meta-learning":[110],"model,":[111],"which":[112],"subsequently":[113],"uses":[115],"at":[118,184],"inference.":[119],"Using":[120],"multiple":[121],"datasets":[122],"more":[124],"than":[125],"3,000":[126],"patients,":[129],"we":[130],"report":[131],"superior":[132],"or":[133,152],"comparable":[134],"performance":[135],"localising":[137],"radiologist-identified":[138],"our":[142],"proposed":[143],"models,":[145],"compared":[146],"alternative":[148],"input.":[156],"Real":[157],"patient":[158],"cases":[159,173],"presented":[161],"discussed":[163],"demonstrate,":[165],"time,":[169],"exclusively":[171],"true-positive":[172],"different":[177],"sequences.":[179],"Open-source":[180],"code":[181],"is":[182],"https://github.com/wxyi057/MetaT2.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}