{"id":"https://openalex.org/W4414370816","doi":"https://doi.org/10.1007/978-3-032-05182-0_1","title":"A Flexible Deep Learning Framework for\u00a0Survival Analysis with\u00a0Medical Data","display_name":"A Flexible Deep Learning Framework for\u00a0Survival Analysis with\u00a0Medical Data","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4414370816","doi":"https://doi.org/10.1007/978-3-032-05182-0_1"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-05182-0_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-05182-0_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5067002655","display_name":"Gabriele Campanella","orcid":"https://orcid.org/0000-0001-6299-1311"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gabriele Campanella","raw_affiliation_strings":["Hasso Plattner Institute at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, USA","Windreich Department of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, USA"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Windreich Department of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080737486","display_name":"Ida H\u00e4ggstr\u00f6m","orcid":"https://orcid.org/0000-0001-9178-6683"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]},{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ida H\u00e4ggstr\u00f6m","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","Institute of Clinical Sciences, Gothenburg University, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Institute of Clinical Sciences, Gothenburg University, Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088648900","display_name":"Lucas Kook","orcid":"https://orcid.org/0000-0002-7546-7356"},"institutions":[{"id":"https://openalex.org/I1327969474","display_name":"Statistics Austria","ror":"https://ror.org/030j5vf66","country_code":"AT","type":"government","lineage":["https://openalex.org/I1327969474"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Lucas Kook","raw_affiliation_strings":["Institute for Statistics and Mathematics, WU Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Statistics and Mathematics, WU Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I1327969474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062348958","display_name":"Torsten Hothorn","orcid":"https://orcid.org/0000-0001-8301-0471"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Torsten Hothorn","raw_affiliation_strings":["Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014100513","display_name":"Thomas J. Fuchs","orcid":"https://orcid.org/0000-0001-7603-8687"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas J. Fuchs","raw_affiliation_strings":["Hasso Plattner Institute at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, USA","Windreich Department of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, USA"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, USA","institution_ids":["https://openalex.org/I98704320"]},{"raw_affiliation_string":"Windreich Department of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067002655"],"corresponding_institution_ids":["https://openalex.org/I98704320"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41267053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9962999820709229,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9962999820709229,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9733999967575073,"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/deep-learning","display_name":"Deep learning","score":0.7348999977111816},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.6481999754905701},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.51419997215271},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4871000051498413},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.4717999994754791},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4381999969482422},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4237000048160553}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7348999977111816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322999835014343},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.6481999754905701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144999861717224},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.51419997215271},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4871000051498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47369998693466187},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.4717999994754791},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4381999969482422},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4237000048160553},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3790999948978424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3580999970436096},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C3018822202","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Patient data","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.2556999921798706},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-032-05182-0_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-05182-0_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:doi:10.5167/uzh-292044","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"ConferenceItem"},{"id":"pmh:oai:research.wu.ac.at:openaire_cris_publications/c94ff4bb-9ebd-4a33-802f-277ac527fd2f","is_oa":false,"landing_page_url":"https://research.wu.ac.at/de/publications/c94ff4bb-9ebd-4a33-802f-277ac527fd2f","pdf_url":null,"source":{"id":"https://openalex.org/S7407055123","display_name":"WU Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Campanella, G, H\u00e4ggstr\u00f6m, I, Kook, L, Hothorn, T & Fuchs, T J 2025, A Flexible Deep Learning Framework for\u00a0Survival Analysis with\u00a0Medical Data. in J C Gee, D C Alexander, J Hong, J E Iglesias, C H Sudre, A Venkataraman, P Golland, J H Kim & J Park (eds), Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23\u201327, 2025, Proceedings, Part XV. Springer, Cham, Lecture Notes in Computer Science (LNCS), vol. 15974, pp. 3-13. https://doi.org/10.1007/978-3-032-05182-0_1","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W340099537","https://openalex.org/W1916318312","https://openalex.org/W1974210850","https://openalex.org/W2079898917","https://openalex.org/W2084139018","https://openalex.org/W2127425427","https://openalex.org/W2751538714","https://openalex.org/W2753919178","https://openalex.org/W2789172526","https://openalex.org/W2903150666","https://openalex.org/W2905889700","https://openalex.org/W2928673187","https://openalex.org/W2943162041","https://openalex.org/W2962934715","https://openalex.org/W3011132328","https://openalex.org/W3119097902","https://openalex.org/W3123284220","https://openalex.org/W3125981752","https://openalex.org/W3147894994","https://openalex.org/W3158693775","https://openalex.org/W3194878797","https://openalex.org/W3199268058","https://openalex.org/W3200577818","https://openalex.org/W4299551643","https://openalex.org/W4366440813","https://openalex.org/W4391883953","https://openalex.org/W4392947521"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}