{"id":"https://openalex.org/W3081463888","doi":"https://doi.org/10.1007/978-3-030-66415-2_29","title":"Probabilistic Deep Learning for Instance Segmentation","display_name":"Probabilistic Deep Learning for Instance Segmentation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3081463888","doi":"https://doi.org/10.1007/978-3-030-66415-2_29","mag":"3081463888"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-66415-2_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-66415-2_29","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.10678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Josef Lorenz Rumberger","orcid":"https://orcid.org/0000-0002-7225-7011"},"institutions":[{"id":"https://openalex.org/I205582932","display_name":"Max Delbr\u00fcck Center","ror":"https://ror.org/04p5ggc03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I205582932"]},{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"funder","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Josef Lorenz Rumberger","raw_affiliation_strings":["Charit\u00e9 University Hospital, Berlin, Germany","Max Delbr\u00fcck Center for Molecular Medicine, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Charit\u00e9 University Hospital, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]},{"raw_affiliation_string":"Max Delbr\u00fcck Center for Molecular Medicine, Berlin, Germany","institution_ids":["https://openalex.org/I205582932"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lisa Mais","orcid":"https://orcid.org/0000-0002-9281-2668"},"institutions":[{"id":"https://openalex.org/I205582932","display_name":"Max Delbr\u00fcck Center","ror":"https://ror.org/04p5ggc03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I205582932"]},{"id":"https://openalex.org/I4210139777","display_name":"Berlin Institute of Health at Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/0493xsw21","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210139777","https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lisa Mais","raw_affiliation_strings":["Berlin Institute of Health, Berlin, Germany","Max Delbr\u00fcck Center for Molecular Medicine, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Berlin Institute of Health, Berlin, Germany","institution_ids":["https://openalex.org/I4210139777"]},{"raw_affiliation_string":"Max Delbr\u00fcck Center for Molecular Medicine, Berlin, Germany","institution_ids":["https://openalex.org/I205582932"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dagmar Kainmueller","orcid":"https://orcid.org/0000-0002-9830-2415"},"institutions":[{"id":"https://openalex.org/I205582932","display_name":"Max Delbr\u00fcck Center","ror":"https://ror.org/04p5ggc03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I205582932"]},{"id":"https://openalex.org/I4210139777","display_name":"Berlin Institute of Health at Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/0493xsw21","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210139777","https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dagmar Kainmueller","raw_affiliation_strings":["Berlin Institute of Health, Berlin, Germany","Max Delbr\u00fcck Center for Molecular Medicine, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Berlin Institute of Health, Berlin, Germany","institution_ids":["https://openalex.org/I4210139777"]},{"raw_affiliation_string":"Max Delbr\u00fcck Center for Molecular Medicine, Berlin, Germany","institution_ids":["https://openalex.org/I205582932"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205582932","https://openalex.org/I7877124"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.0987,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80710102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.22349999845027924,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.22349999845027924,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.10159999877214432,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.09229999780654907,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7616999745368958},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7106999754905701},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6868000030517578},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6761000156402588},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6407999992370605},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5922999978065491},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44839999079704285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40230000019073486},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.38960000872612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8652999997138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.762499988079071},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7616999745368958},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7106999754905701},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6868000030517578},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6761000156402588},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6407999992370605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.626800000667572},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5922999978065491},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44839999079704285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3723999857902527},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3402999937534332},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26570001244544983},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C60782215","wikidata":"https://www.wikidata.org/wiki/Q3333679","display_name":"Probabilistic method","level":3,"score":0.2558000087738037}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-66415-2_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-66415-2_29","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:2008.10678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.10678","pdf_url":"https://arxiv.org/pdf/2008.10678","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"pmh:oai:edoc.mdc-berlin.de:19870","is_oa":false,"landing_page_url":"https://edoc.mdc-berlin.de/19870/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400224","display_name":"MDC Repository (Max-Delbrueck-Center for Molecular Medicine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"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":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.10678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.10678","pdf_url":"https://arxiv.org/pdf/2008.10678","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W94656800","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2014829418","https://openalex.org/W2141461755","https://openalex.org/W2164500538","https://openalex.org/W2557889580","https://openalex.org/W2566110547","https://openalex.org/W2749895778","https://openalex.org/W2803790834","https://openalex.org/W2807861409","https://openalex.org/W2884131745","https://openalex.org/W2895065325","https://openalex.org/W2895933766","https://openalex.org/W2938964187","https://openalex.org/W2950501364","https://openalex.org/W2962941615","https://openalex.org/W2963150697","https://openalex.org/W2964170444","https://openalex.org/W2997996590","https://openalex.org/W3034351081","https://openalex.org/W6600389942","https://openalex.org/W6601235158","https://openalex.org/W6610814043","https://openalex.org/W6846889679"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-09-01T00:00:00"}
