{"id":"https://openalex.org/W7154709648","doi":"https://doi.org/10.2139/ssrn.6551860","title":"CaliFusion-CNN: A Confidence-Calibrated Multimodal Framework for Robust Cancer Diagnosis Under Dataset Shift","display_name":"CaliFusion-CNN: A Confidence-Calibrated Multimodal Framework for Robust Cancer Diagnosis Under Dataset Shift","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154709648","doi":"https://doi.org/10.2139/ssrn.6551860"},"language":"en","primary_location":{"id":"doi:10.2139/ssrn.6551860","doi":"https://doi.org/10.2139/ssrn.6551860","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.6551860","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"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":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2139/ssrn.6551860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133881283","display_name":"Hugo Raposo","orcid":"https://orcid.org/0009-0004-0857-5586","observed_orcids":["https://orcid.org/0009-0004-0857-5586"]},"institutions":[{"id":"https://openalex.org/I2801652627","display_name":"Association for the Advancement of Artificial Intelligence","ror":"https://ror.org/02eb0rk31","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801652627"]},{"id":"https://openalex.org/I4405277920","display_name":"Institute of Engineering & Technology","ror":"https://ror.org/04aymkn24","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405277920"]}],"countries":["IN","US"],"is_corresponding":true,"raw_author_name":"Hugo Raposo","raw_affiliation_strings":["IEEE Senior Member","IET","IET, India","The Association for the Advancement of Artificial Intelligence (AAAI)"],"raw_orcid":"https://orcid.org/0009-0004-0857-5586","affiliations":[{"raw_affiliation_string":"IEEE Senior Member","institution_ids":[]},{"raw_affiliation_string":"IET","institution_ids":[]},{"raw_affiliation_string":"IET, India","institution_ids":["https://openalex.org/I4405277920"]},{"raw_affiliation_string":"The Association for the Advancement of Artificial Intelligence (AAAI)","institution_ids":["https://openalex.org/I2801652627"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5133881283"],"corresponding_institution_ids":["https://openalex.org/I2801652627","https://openalex.org/I4405277920"],"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/T10862","display_name":"AI in cancer detection","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9911999702453613,"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"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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":0.0024999999441206455,"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/cancer-diagnosis","display_name":"cancer diagnosis","score":0.9860000014305115},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.7680000066757202},{"id":"https://openalex.org/keywords/confidence-calibration","display_name":"confidence calibration","score":0.6959999799728394},{"id":"https://openalex.org/keywords/distribution-shift","display_name":"distribution shift","score":0.9649999737739563},{"id":"https://openalex.org/keywords/uncertainty-aware-inference","display_name":"uncertainty-aware inference","score":0.7820000052452087},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.7870000004768372}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6769000291824341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588000059127808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6331999897956848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047999858856201},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5303999781608582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48910000920295715},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.42500001192092896},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3792000114917755},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.33379998803138733},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2139/ssrn.6551860","doi":"https://doi.org/10.2139/ssrn.6551860","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.6551860","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"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":"posted-content"}],"best_oa_location":{"id":"doi:10.2139/ssrn.6551860","doi":"https://doi.org/10.2139/ssrn.6551860","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.6551860","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"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":"posted-content"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7128311287","https://openalex.org/W7150774942","https://openalex.org/W7171662095","https://openalex.org/W7151226657","https://openalex.org/W7217596506","https://openalex.org/W7126081032","https://openalex.org/W7125423407","https://openalex.org/W7162802126","https://openalex.org/W4417454686","https://openalex.org/W7203738123"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-04-18T00:00:00"}