{"id":"https://openalex.org/W4405488691","doi":"https://doi.org/10.1109/embc53108.2024.10782944","title":"Non-linear Logistic Regression applied to Radiomics","display_name":"Non-linear Logistic Regression applied to Radiomics","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405488691","doi":"https://doi.org/10.1109/embc53108.2024.10782944","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039741"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10782944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5026505305","display_name":"Baptiste Schall","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106479","display_name":"Laboratoire d'Informatique, Signaux et Syst\u00e8mes de Sophia Antipolis","ror":"https://ror.org/01215r597","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106479","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Baptiste Schall","raw_affiliation_strings":["University C&#x00F4;te D&#x2019;Azur,Laboratory I3S,Sophia-Antipolis,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University C&#x00F4;te D&#x2019;Azur,Laboratory I3S,Sophia-Antipolis,France","institution_ids":["https://openalex.org/I4210106479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102982377","display_name":"Rodolphe Anty","orcid":"https://orcid.org/0000-0002-8053-1957"},"institutions":[{"id":"https://openalex.org/I4210118460","display_name":"H\u00f4pital l'Archet","ror":"https://ror.org/02fsxgh46","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I3018988418","https://openalex.org/I4210118460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Rodolphe Anty","raw_affiliation_strings":["Hepatology Unit,H&#x00F4;pital de L&#x2019;Archet 2,Nice,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hepatology Unit,H&#x00F4;pital de L&#x2019;Archet 2,Nice,France","institution_ids":["https://openalex.org/I4210118460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045583054","display_name":"Lionel Fillatre","orcid":"https://orcid.org/0000-0002-8152-1769"},"institutions":[{"id":"https://openalex.org/I4210106479","display_name":"Laboratoire d'Informatique, Signaux et Syst\u00e8mes de Sophia Antipolis","ror":"https://ror.org/01215r597","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106479","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Fillatre","raw_affiliation_strings":["University C&#x00F4;te D&#x2019;Azur,Laboratory I3S,Sophia-Antipolis,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University C&#x00F4;te D&#x2019;Azur,Laboratory I3S,Sophia-Antipolis,France","institution_ids":["https://openalex.org/I4210106479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8994,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91779766,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"4"},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9919000267982483,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9790999889373779,"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/radiomics","display_name":"Radiomics","score":0.7196505665779114},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7029025554656982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4652358591556549},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4162719249725342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3808102309703827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35030418634414673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27394527196884155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25656431913375854}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.7196505665779114},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7029025554656982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4652358591556549},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4162719249725342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3808102309703827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35030418634414673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27394527196884155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25656431913375854}],"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":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10782944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039741","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039741","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1408981388","https://openalex.org/W1503398984","https://openalex.org/W1901129140","https://openalex.org/W2135046866","https://openalex.org/W2174661749","https://openalex.org/W2791575870","https://openalex.org/W2900422713","https://openalex.org/W3015320097","https://openalex.org/W4214679998","https://openalex.org/W4247980034","https://openalex.org/W4280601680","https://openalex.org/W4293030512","https://openalex.org/W4362475033","https://openalex.org/W4365515201"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W2559998622","https://openalex.org/W2605851261","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4385221818","https://openalex.org/W2135760566"],"abstract_inverted_index":{"In":[0,70],"the":[1,38,44,62,77,80,86,97,107,116,128,134,142,145],"past":[2],"decade,":[3],"radiomics":[4,47,65,98,151],"has":[5,11],"gained":[6],"huge":[7],"popularity.":[8],"This":[9],"method":[10],"a":[12,24],"significant":[13],"potential":[14],"in":[15,41,91],"cancer":[16],"detection,":[17],"diagnostic":[18],"or":[19],"prediction":[20],"of":[21,30,64,79,130,144],"response":[22],"to":[23,27,75,95,115,133],"treatment":[25],"due":[26],"its":[28,35],"capacity":[29],"reflecting":[31],"tumor-phenotypic":[32],"characteristics.":[33],"Despite":[34],"qualities":[36],"and":[37,112],"interest":[39],"shown":[40],"it":[42],"by":[43,66],"scientific":[45],"community,":[46],"is":[48,85,110],"still":[49],"not":[50],"used":[51,88],"for":[52],"clinical":[53],"care.":[54],"Reliable":[55],"Machine":[56],"Learning":[57],"(ML)":[58],"approaches":[59],"could":[60],"promote":[61],"usage":[63],"showing":[67],"relevant":[68],"results.":[69],"this":[71],"context,":[72],"we":[73,104],"propose":[74,94],"improve":[76],"performance":[78,143],"Logistic":[81],"Regression":[82],"(LR)":[83],"which":[84],"most":[87],"ML":[89],"model":[90],"radiomics.":[92],"We":[93,140],"represent":[96],"features":[99],"with":[100,149],"one-hot":[101],"encoding.":[102],"Then,":[103],"show":[105],"that":[106],"resulting":[108],"LR":[109,123,148],"non-linear":[111,147],"almost":[113],"equivalent":[114],"Naive":[117],"Bayes":[118],"classifier":[119],"(NBC).":[120],"Since":[121],"our":[122],"score":[124],"function":[125],"remains":[126],"additive,":[127],"contribution":[129],"each":[131],"feature":[132],"decision":[135],"can":[136],"be":[137],"easily":[138],"measured.":[139],"illustrate":[141],"proposed":[146],"two":[150],"datasets.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2025-10-10T00:00:00"}
