{"id":"https://openalex.org/W2990516637","doi":"https://doi.org/10.1109/isbi45749.2020.9098612","title":"Fully Unsupervised Probabilistic Noise2Void","display_name":"Fully Unsupervised Probabilistic Noise2Void","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W2990516637","doi":"https://doi.org/10.1109/isbi45749.2020.9098612","mag":"2990516637"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.12291","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010649507","display_name":"Mangal Prakash","orcid":"https://orcid.org/0000-0002-6351-0281"},"institutions":[{"id":"https://openalex.org/I4210159854","display_name":"Max Planck Institute of Molecular Cell Biology and Genetics","ror":"https://ror.org/05b8d3w18","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210159854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mangal Prakash","raw_affiliation_strings":["Max-Planck Institute of Molecular Cell Biology and Genetics"],"affiliations":[{"raw_affiliation_string":"Max-Planck Institute of Molecular Cell Biology and Genetics","institution_ids":["https://openalex.org/I4210159854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072451565","display_name":"Manan Lalit","orcid":"https://orcid.org/0000-0002-6459-6363"},"institutions":[{"id":"https://openalex.org/I4210159854","display_name":"Max Planck Institute of Molecular Cell Biology and Genetics","ror":"https://ror.org/05b8d3w18","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210159854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manan Lalit","raw_affiliation_strings":["Max-Planck Institute of Molecular Cell Biology and Genetics"],"affiliations":[{"raw_affiliation_string":"Max-Planck Institute of Molecular Cell Biology and Genetics","institution_ids":["https://openalex.org/I4210159854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042671050","display_name":"Pavel Toman\u010d\u00e1k","orcid":"https://orcid.org/0000-0002-2222-9370"},"institutions":[{"id":"https://openalex.org/I4210159854","display_name":"Max Planck Institute of Molecular Cell Biology and Genetics","ror":"https://ror.org/05b8d3w18","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210159854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pavel Tomancak","raw_affiliation_strings":["Max-Planck Institute of Molecular Cell Biology and Genetics"],"affiliations":[{"raw_affiliation_string":"Max-Planck Institute of Molecular Cell Biology and Genetics","institution_ids":["https://openalex.org/I4210159854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073866871","display_name":"Alexander Krull","orcid":"https://orcid.org/0000-0002-7778-7169"},"institutions":[{"id":"https://openalex.org/I4210159854","display_name":"Max Planck Institute of Molecular Cell Biology and Genetics","ror":"https://ror.org/05b8d3w18","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210159854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Krul","raw_affiliation_strings":["Max-Planck Institute of Molecular Cell Biology and Genetics"],"affiliations":[{"raw_affiliation_string":"Max-Planck Institute of Molecular Cell Biology and Genetics","institution_ids":["https://openalex.org/I4210159854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045834690","display_name":"Florian Jug","orcid":"https://orcid.org/0000-0002-8499-5812"},"institutions":[{"id":"https://openalex.org/I4210159854","display_name":"Max Planck Institute of Molecular Cell Biology and Genetics","ror":"https://ror.org/05b8d3w18","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210159854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Jug","raw_affiliation_strings":["Max-Planck Institute of Molecular Cell Biology and Genetics"],"affiliations":[{"raw_affiliation_string":"Max-Planck Institute of Molecular Cell Biology and Genetics","institution_ids":["https://openalex.org/I4210159854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010649507"],"corresponding_institution_ids":["https://openalex.org/I4210159854"],"apc_list":null,"apc_paid":null,"fwci":1.1292,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83020764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9966999888420105,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9801999926567078,"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":0.7523361444473267},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6616936326026917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6096884608268738},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5763722062110901},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.54941725730896},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5197693705558777},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.49553191661834717},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4684363007545471},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4335877299308777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4323241114616394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42617303133010864},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3752225637435913},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33442896604537964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13802289962768555},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10398063063621521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523361444473267},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6616936326026917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6096884608268738},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5763722062110901},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.54941725730896},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5197693705558777},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.49553191661834717},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4684363007545471},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4335877299308777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4323241114616394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42617303133010864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3752225637435913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33442896604537964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13802289962768555},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10398063063621521}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.12291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.12291","pdf_url":"https://arxiv.org/pdf/1911.12291","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":"","raw_type":"text"},{"id":"mag:2990516637","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1911.12291","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/968254ab-eb6b-414b-bffb-d4abd7bd59e4","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/968254ab-eb6b-414b-bffb-d4abd7bd59e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Prakash, M, Lalit, M, Tomancak, P, Krull, A & Jug, F 2020, Fully unsupervised probabilistic noise2void. in 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). pp. 154-158.","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.1911.12291","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.12291","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/y83z-wx65","is_oa":true,"landing_page_url":"https://doi.org/10.17023/y83z-wx65","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.12291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.12291","pdf_url":"https://arxiv.org/pdf/1911.12291","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1617064225","display_name":null,"funder_award_id":"JU3110/1-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5088104505","display_name":null,"funder_award_id":"de.NBI","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7169695127","display_name":null,"funder_award_id":"01IS18026C","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7933778303","display_name":null,"funder_award_id":"031L0102","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G8996839407","display_name":null,"funder_award_id":"3110/1-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320330124","display_name":"German Network for Bioinformatics Infrastructure","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990516637.pdf","grobid_xml":"https://content.openalex.org/works/W2990516637.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2801396275","https://openalex.org/W2897492435","https://openalex.org/W2898875140","https://openalex.org/W2902857081","https://openalex.org/W2910683834","https://openalex.org/W2914204228","https://openalex.org/W2950501364","https://openalex.org/W2951719549","https://openalex.org/W2958578978","https://openalex.org/W2963571608","https://openalex.org/W2964204553","https://openalex.org/W3007757852","https://openalex.org/W6639824700","https://openalex.org/W6749271710","https://openalex.org/W6759001153"],"related_works":["https://openalex.org/W3173485944","https://openalex.org/W2969568046","https://openalex.org/W3202275173","https://openalex.org/W3131538877","https://openalex.org/W2903811436","https://openalex.org/W2902857081","https://openalex.org/W3181981799","https://openalex.org/W3013196136","https://openalex.org/W3008207168","https://openalex.org/W3204510541","https://openalex.org/W3189845786","https://openalex.org/W3104725225","https://openalex.org/W3201258754","https://openalex.org/W3170566000","https://openalex.org/W1667009198","https://openalex.org/W3128984444","https://openalex.org/W3132755470","https://openalex.org/W2588997445","https://openalex.org/W1537199460","https://openalex.org/W3040126051"],"abstract_inverted_index":{"Image":[0],"denoising":[1],"is":[2,111],"the":[3,41,48,105],"first":[4],"step":[5,114],"in":[6,104],"many":[7],"biomedical":[8],"image":[9],"analysis":[10],"pipelines":[11],"and":[12,93],"Deep":[13],"Learning":[14],"(DL)":[15],"based":[16,86],"methods":[17,27],"are":[18,128],"currently":[19],"best":[20],"performing.":[21],"A":[22],"new":[23],"category":[24],"of":[25,50,107],"DL":[26],"such":[28],"as":[29],"Noise2Void":[30,58],"or":[31],"Noise2Self":[32],"can":[33,100],"be":[34,74,101],"used":[35],"fully":[36,120],"unsupervised,":[37],"requiring":[38],"nothing":[39],"but":[40,62,132],"noisy":[42],"data.":[43,109],"However,":[44],"this":[45],"comes":[46],"at":[47],"price":[49],"reduced":[51],"reconstruction":[52],"quality.":[53],"The":[54],"recently":[55],"proposed":[56,126],"Probabilistic":[57],"(PN2V)":[59],"improves":[60],"results,":[61],"requires":[63],"an":[64],"additional":[65],"noise":[66,87,91,98],"model":[67],"for":[68],"which":[69],"calibration":[70,108],"data":[71],"needs":[72],"to":[73,80],"acquired.":[75],"Here,":[76],"we":[77],"present":[78],"improvements":[79,127],"PN2V":[81,119],"that":[82,124],"(i)":[83],"replace":[84],"histogram":[85],"models":[88,99],"by":[89],"parametric":[90],"models,":[92],"(ii)":[94],"show":[95],"how":[96],"suitable":[97],"created":[102],"even":[103],"absence":[106],"This":[110],"a":[112],"major":[113],"since":[115],"it":[116],"actually":[117],"renders":[118],"unsupervised.":[121],"We":[122],"demonstrate":[123],"all":[125],"not":[129],"only":[130],"academic":[131],"indeed":[133],"relevant.":[134]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
