{"id":"https://openalex.org/W4416988978","doi":"https://doi.org/10.1007/s11548-025-03548-1","title":"Glioblastoma survival prediction through MRI and clinical data integration with transfer learning","display_name":"Glioblastoma survival prediction through MRI and clinical data integration with transfer learning","publication_year":2025,"publication_date":"2025-12-04","ids":{"openalex":"https://openalex.org/W4416988978","doi":"https://doi.org/10.1007/s11548-025-03548-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/41343123"},"language":"en","primary_location":{"id":"doi:10.1007/s11548-025-03548-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03548-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03548-1.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03548-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018987392","display_name":"Alessandra Marasi","orcid":"https://orcid.org/0000-0001-7992-5222"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"A. Marasi","raw_affiliation_strings":["Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7992-5222","affiliations":[{"raw_affiliation_string":"Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099129865","display_name":"Davide Milesi","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Milesi","raw_affiliation_strings":["Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039110035","display_name":"Domenico Aquino","orcid":"https://orcid.org/0000-0002-1289-9573"},"institutions":[{"id":"https://openalex.org/I4210164485","display_name":"Fondazione IRCCS Istituto Neurologico Carlo Besta","ror":"https://ror.org/05rbx8m02","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210153126","https://openalex.org/I4210164485"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Aquino","raw_affiliation_strings":["Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy","institution_ids":["https://openalex.org/I4210164485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003286981","display_name":"Fabio Martino Doniselli","orcid":"https://orcid.org/0000-0002-2272-7855"},"institutions":[{"id":"https://openalex.org/I4210164485","display_name":"Fondazione IRCCS Istituto Neurologico Carlo Besta","ror":"https://ror.org/05rbx8m02","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210153126","https://openalex.org/I4210164485"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. M. Doniselli","raw_affiliation_strings":["Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. fabio.doniselli@istituto-besta.it","Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. fabio.doniselli@istituto-besta.it","institution_ids":["https://openalex.org/I4210164485"]},{"raw_affiliation_string":"Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy","institution_ids":["https://openalex.org/I4210164485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013103346","display_name":"Riccardo Pascuzzo","orcid":"https://orcid.org/0000-0001-6555-1784"},"institutions":[{"id":"https://openalex.org/I4210164485","display_name":"Fondazione IRCCS Istituto Neurologico Carlo Besta","ror":"https://ror.org/05rbx8m02","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210153126","https://openalex.org/I4210164485"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"R. Pascuzzo","raw_affiliation_strings":["Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy","institution_ids":["https://openalex.org/I4210164485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034991162","display_name":"Marina Grisoli","orcid":"https://orcid.org/0000-0002-7663-446X"},"institutions":[{"id":"https://openalex.org/I4210164485","display_name":"Fondazione IRCCS Istituto Neurologico Carlo Besta","ror":"https://ror.org/05rbx8m02","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210153126","https://openalex.org/I4210164485"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Grisoli","raw_affiliation_strings":["Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy","institution_ids":["https://openalex.org/I4210164485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081695706","display_name":"Alberto Redaelli","orcid":"https://orcid.org/0000-0002-9020-2188"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Redaelli","raw_affiliation_strings":["Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083795699","display_name":"Elena De Momi","orcid":"https://orcid.org/0000-0002-8819-2734"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"E. De Momi","raw_affiliation_strings":["Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic, Information and Bioengineering, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5018987392"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":1.4068,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86731418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"21","issue":"3","first_page":"473","last_page":"482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.6489999890327454,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.6489999890327454,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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":0.3127000033855438,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.012000000104308128,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.8328999876976013},{"id":"https://openalex.org/keywords/glioblastoma","display_name":"Glioblastoma","score":0.7175999879837036},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6237999796867371},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.592199981212616},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.5903000235557556},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5254999995231628},{"id":"https://openalex.org/keywords/system-integration","display_name":"System integration","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8328999876976013},{"id":"https://openalex.org/C2776194525","wikidata":"https://www.wikidata.org/wiki/Q282142","display_name":"Glioblastoma","level":2,"score":0.7175999879837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536999940872192},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6237999796867371},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.592199981212616},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.5903000235557556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.583299994468689},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5254999995231628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4805999994277954},{"id":"https://openalex.org/C19527686","wikidata":"https://www.wikidata.org/wiki/Q1665453","display_name":"System integration","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3073999881744385},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28200000524520874},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2646999955177307}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005909","descriptor_name":"Glioblastoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005909","descriptor_name":"Glioblastoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005909","descriptor_name":"Glioblastoma","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D005909","descriptor_name":"Glioblastoma","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1007/s11548-025-03548-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03548-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03548-1.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},{"id":"pmid:41343123","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41343123","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of computer assisted radiology and surgery","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:13035620","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13035620/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Assist Radiol Surg","raw_type":"Text"},{"id":"pmh:oai:re.public.polimi.it:11311/1307667","is_oa":true,"landing_page_url":"https://hdl.handle.net/11311/1307667","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s11548-025-03548-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03548-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03548-1.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3468859660","display_name":null,"funder_award_id":"T4-AN.09","funder_id":"https://openalex.org/F4320321781","funder_display_name":"Ministero della Salute"}],"funders":[{"id":"https://openalex.org/F4320321781","display_name":"Ministero della Salute","ror":"https://ror.org/00789fa95"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416988978.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1929984647","https://openalex.org/W1970451222","https://openalex.org/W1988756388","https://openalex.org/W2028911404","https://openalex.org/W2105100844","https://openalex.org/W2107500316","https://openalex.org/W2123299008","https://openalex.org/W2132866748","https://openalex.org/W2133287637","https://openalex.org/W2194775991","https://openalex.org/W2743924567","https://openalex.org/W2782757127","https://openalex.org/W2892929309","https://openalex.org/W2900422713","https://openalex.org/W2953665288","https://openalex.org/W2954776077","https://openalex.org/W2963016155","https://openalex.org/W2963046541","https://openalex.org/W2968446587","https://openalex.org/W3105843050","https://openalex.org/W3151590710","https://openalex.org/W4206344290","https://openalex.org/W4211132876","https://openalex.org/W4387033219","https://openalex.org/W4389487301","https://openalex.org/W4389613307","https://openalex.org/W4390050839"],"related_works":[],"abstract_inverted_index":{"PURPOSE:":[0],"Accurate":[1],"prediction":[2,266],"of":[3,236,275],"overall":[4],"survival":[5],"(OS)":[6],"in":[7,226,267],"glioblastoma":[8,268],"patients":[9],"is":[10],"critical":[11],"for":[12,50,149,264,286],"advancing":[13],"personalized":[14,290],"treatments":[15],"and":[16,54,73,96,120,137,206,234,244,261,289],"improving":[17],"clinical":[18,116,256],"trial":[19],"design.":[20],"Conventional":[21],"radiomics":[22,243,281],"approaches":[23],"rely":[24],"on":[25,94,98,144,179],"manually":[26],"engineered":[27],"features,":[28],"which":[29],"limit":[30],"their":[31],"ability":[32],"to":[33,46,127,176,241,278],"capture":[34],"complex,":[35],"high-dimensional":[36],"imaging":[37,109],"patterns.":[38,110],"This":[39,270],"study":[40,271],"employs":[41],"a":[42,74,90,138,259],"deep":[43,276],"learning":[44,132,277],"architecture":[45],"process":[47],"MRI":[48,67,253],"data":[49,68,254],"automated":[51,238],"glioma":[52],"segmentation":[53],"feature":[55,147],"extraction,":[56],"leveraging":[57],"high-level":[58],"representations":[59],"from":[60,69,77,102,251],"the":[61,70,103,145,154,158,162,195,203,217,232,273,284],"encoder's":[62,104],"latent":[63,105],"space.":[64],"METHODS:":[65],"Multimodal":[66],"BraTS2020":[71,180],"dataset":[72,76],"proprietary":[75],"Fondazione":[78],"IRCCS":[79,196],"Istituto":[80],"Neurologico":[81],"Carlo":[82],"Besta":[83,197],"(Milan,":[84],"Italy)":[85],"were":[86,113],"processed":[87],"independently":[88],"using":[89],"U-Net-like":[91],"model":[92],"pre-trained":[93],"BraTS2018":[95],"fine-tuned":[97],"BraTS2020.":[99],"Features":[100],"extracted":[101],"space":[106],"represented":[107],"hierarchical":[108],"These":[111,221],"features":[112,250],"combined":[114],"with":[115,255],"variable":[117],"(patient's":[118],"age)":[119],"reduced":[121,146],"via":[122],"principal":[123],"component":[124],"analysis":[125],"(PCA)":[126],"enhance":[128],"computational":[129],"efficiency.":[130],"Machine":[131],"classifiers-including":[133],"random":[134],"forest,":[135],"XGBoost,":[136],"fully":[139],"connected":[140],"neural":[141],"network-were":[142],"trained":[143],"vectors":[148],"OS":[150,265],"classification.":[151],"RESULTS:":[152],"In":[153],"four-modality":[155],"BraTS4CH":[156],"setting,":[157],"multi-layer":[159],"perceptron":[160],"achieved":[161],"best":[163],"performance":[164],"(F1":[165,185,208],"=":[166,169,172,186,189,192,209,212],"0.71,":[167],"AUC":[168,188,219],"0.74,":[170],"accuracy":[171,191,207,211],"0.71).":[173],"When":[174],"limited":[175],"two":[177],"modalities":[178],"(BraTS2CH),":[181],"MLP":[182,215],"again":[183],"led":[184],"0.67,":[187],"0.70,":[190],"0.67).":[193],"On":[194],"two-modality":[198],"cohort":[199],"(Besta2CH),":[200],"XGBoost":[201],"produced":[202],"highest":[204],"F1-score":[205],"0.65,":[210],"0.66),":[213],"while":[214],"obtained":[216],"top":[218],"(0.70).":[220],"results":[222],"are":[223],"competitive":[224],"with-and":[225],"some":[227],"metrics":[228],"exceed-state-of-the-art":[229],"reports,":[230],"demonstrating":[231],"robustness":[233],"scalability":[235],"our":[237],"framework":[239],"relative":[240],"traditional":[242,280],"AI-driven":[245],"approaches.":[246],"CONCLUSION:":[247],"Integrating":[248],"encoder-derived":[249],"multimodal":[252],"variables":[257],"offers":[258],"scalable":[260],"effective":[262],"approach":[263],"patients.":[269],"demonstrates":[272],"potential":[274],"address":[279],"limitations,":[282],"paving":[283],"way":[285],"more":[287],"precise":[288],"prognostic":[291],"tools.":[292]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-12-04T00:00:00"}
