{"id":"https://openalex.org/W2996297566","doi":"https://doi.org/10.1007/978-3-030-78191-0_51","title":"Multimodal Self-supervised Learning for Medical Image Analysis","display_name":"Multimodal Self-supervised Learning for Medical Image Analysis","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W2996297566","doi":"https://doi.org/10.1007/978-3-030-78191-0_51","mag":"2996297566"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-78191-0_51","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-78191-0_51","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":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.05396","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057136665","display_name":"Aiham Taleb","orcid":"https://orcid.org/0000-0002-3743-1299"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Aiham Taleb","raw_affiliation_strings":["Hasso-Plattner Institute, Potsdam University, Potsdam, Germany","Hasso Plattner Institute, Potsdam University, Potsdam, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3743-1299","affiliations":[{"raw_affiliation_string":"Hasso-Plattner Institute, Potsdam University, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]},{"raw_affiliation_string":"Hasso Plattner Institute, Potsdam University, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074204533","display_name":"Christoph Lippert","orcid":"https://orcid.org/0000-0001-6363-2556"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Lippert","raw_affiliation_strings":["Hasso-Plattner Institute, Potsdam University, Potsdam, Germany","Hasso Plattner Institute, Potsdam University, Potsdam, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6363-2556","affiliations":[{"raw_affiliation_string":"Hasso-Plattner Institute, Potsdam University, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]},{"raw_affiliation_string":"Hasso Plattner Institute, Potsdam University, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023876634","display_name":"Tassilo Klein","orcid":"https://orcid.org/0000-0002-0631-2940"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tassilo Klein","raw_affiliation_strings":["SAP AI Research, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0631-2940","affiliations":[{"raw_affiliation_string":"SAP AI Research, Berlin, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001459748","display_name":"Moin Nabi","orcid":"https://orcid.org/0000-0001-7559-9888"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moin Nabi","raw_affiliation_strings":["SAP AI Research, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7559-9888","affiliations":[{"raw_affiliation_string":"SAP AI Research, Berlin, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057136665"],"corresponding_institution_ids":["https://openalex.org/I143288331"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.1457,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85780447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"661","last_page":"673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7793763279914856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6778389811515808},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.668413519859314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5864150524139404},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.534314751625061},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5116603374481201},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4703643023967743},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4564076364040375},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4512103199958801},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4496234357357025},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.421888142824173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3748924136161804},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11775773763656616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793763279914856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6778389811515808},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.668413519859314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5864150524139404},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.534314751625061},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5116603374481201},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4703643023967743},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4564076364040375},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4512103199958801},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4496234357357025},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.421888142824173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3748924136161804},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11775773763656616},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-78191-0_51","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-78191-0_51","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:oai:arXiv.org:1912.05396","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.05396","pdf_url":"https://arxiv.org/pdf/1912.05396","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2996297566","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1912.05396","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1912.05396","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1912.05396","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.05396","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.05396","pdf_url":"https://arxiv.org/pdf/1912.05396","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2996297566.pdf","grobid_xml":"https://content.openalex.org/works/W2996297566.grobid-xml"},"referenced_works_count":99,"referenced_works":["https://openalex.org/W165381567","https://openalex.org/W219767539","https://openalex.org/W343636949","https://openalex.org/W1514535095","https://openalex.org/W1641498739","https://openalex.org/W1665115054","https://openalex.org/W1901129140","https://openalex.org/W1926131438","https://openalex.org/W1933349210","https://openalex.org/W1990283121","https://openalex.org/W1997147102","https://openalex.org/W2108598243","https://openalex.org/W2128745377","https://openalex.org/W2148300333","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2184188583","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2331128040","https://openalex.org/W2339754110","https://openalex.org/W2405756170","https://openalex.org/W2461705298","https://openalex.org/W2522453719","https://openalex.org/W2546190447","https://openalex.org/W2556930864","https://openalex.org/W2605287558","https://openalex.org/W2606014079","https://openalex.org/W2608015370","https://openalex.org/W2616788541","https://openalex.org/W2619383789","https://openalex.org/W2619697695","https://openalex.org/W2628684354","https://openalex.org/W2739192055","https://openalex.org/W2742126485","https://openalex.org/W2745006834","https://openalex.org/W2751069891","https://openalex.org/W2798976889","https://openalex.org/W2802798675","https://openalex.org/W2808604288","https://openalex.org/W2842511635","https://openalex.org/W2883190781","https://openalex.org/W2883725317","https://openalex.org/W2886300652","https://openalex.org/W2889056793","https://openalex.org/W2889779108","https://openalex.org/W2891631795","https://openalex.org/W2892032594","https://openalex.org/W2899699486","https://openalex.org/W2915126261","https://openalex.org/W2937845726","https://openalex.org/W2944828972","https://openalex.org/W2950178297","https://openalex.org/W2950187998","https://openalex.org/W2950577311","https://openalex.org/W2950761309","https://openalex.org/W2952746495","https://openalex.org/W2958360136","https://openalex.org/W2962742544","https://openalex.org/W2962756039","https://openalex.org/W2962770129","https://openalex.org/W2962793481","https://openalex.org/W2962825119","https://openalex.org/W2962931121","https://openalex.org/W2962960500","https://openalex.org/W2962969419","https://openalex.org/W2963073614","https://openalex.org/W2963549470","https://openalex.org/W2963663752","https://openalex.org/W2963717741","https://openalex.org/W2963758027","https://openalex.org/W2963863924","https://openalex.org/W2963904328","https://openalex.org/W2964121744","https://openalex.org/W2964316651","https://openalex.org/W2975758481","https://openalex.org/W2978777215","https://openalex.org/W2979708377","https://openalex.org/W2979888373","https://openalex.org/W2981448404","https://openalex.org/W2982151492","https://openalex.org/W2984306354","https://openalex.org/W2990873191","https://openalex.org/W3005185514","https://openalex.org/W3005680577","https://openalex.org/W3014795415","https://openalex.org/W3024463470","https://openalex.org/W3025966429","https://openalex.org/W3027445961","https://openalex.org/W3034241283","https://openalex.org/W3082337820","https://openalex.org/W3100315469","https://openalex.org/W3100622512","https://openalex.org/W3104164805","https://openalex.org/W3105747145","https://openalex.org/W3106286734","https://openalex.org/W3208720418","https://openalex.org/W4393573929","https://openalex.org/W6778672394"],"related_works":["https://openalex.org/W3173809883","https://openalex.org/W3035524453","https://openalex.org/W3157752331","https://openalex.org/W3204104158","https://openalex.org/W2962742544","https://openalex.org/W2321533354","https://openalex.org/W2194775991","https://openalex.org/W1901129140","https://openalex.org/W3115284685","https://openalex.org/W3203183925","https://openalex.org/W3100622512","https://openalex.org/W3176624929","https://openalex.org/W3152155799","https://openalex.org/W3176398504","https://openalex.org/W2963685106","https://openalex.org/W2470996195","https://openalex.org/W3118761370","https://openalex.org/W3036968235","https://openalex.org/W2996247699","https://openalex.org/W2963198154"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
