{"id":"https://openalex.org/W2124097965","doi":"https://doi.org/10.1007/s11263-009-0290-5","title":"Non-Parametric Mixture Model Based Evolution of Level Sets and Application to Medical Images","display_name":"Non-Parametric Mixture Model Based Evolution of Level Sets and Application to Medical Images","publication_year":2009,"publication_date":"2009-09-10","ids":{"openalex":"https://openalex.org/W2124097965","doi":"https://doi.org/10.1007/s11263-009-0290-5","mag":"2124097965"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-009-0290-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-009-0290-5","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","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/A5063618353","display_name":"Niranjan Joshi","orcid":"https://orcid.org/0000-0001-7699-1478"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Niranjan Joshi","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, UK","Dept. of Eng. Science, University of Oxford, Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Dept. of Eng. Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085770881","display_name":"Michael Brady","orcid":"https://orcid.org/0000-0001-9656-0472"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Brady","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, UK","Dept. of Eng. Science, University of Oxford, Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Dept. of Eng. Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063618353"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":null,"fwci":2.9565,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91978226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"88","issue":"1","first_page":"52","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9969000220298767,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9969000220298767,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9700999855995178,"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/histogram","display_name":"Histogram","score":0.6628322601318359},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6091075539588928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5661511421203613},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5133315920829773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5036601424217224},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5019650459289551},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4843912720680237},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.47600945830345154},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4648776054382324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4523029923439026},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.43376854062080383},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4219195246696472},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37372493743896484},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3675491213798523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3621158301830292},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.33200472593307495},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2767626643180847},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24402979016304016}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6628322601318359},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6091075539588928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5661511421203613},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5133315920829773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5036601424217224},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5019650459289551},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4843912720680237},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.47600945830345154},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4648776054382324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4523029923439026},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.43376854062080383},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4219195246696472},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37372493743896484},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3675491213798523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3621158301830292},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.33200472593307495},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2767626643180847},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24402979016304016},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11263-009-0290-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-009-0290-5","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.294.1893","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.1893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.ee.duke.edu/~lcarin/NPMixtureModelLevelSets.pdf","raw_type":"text"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:56abb3e7-6b6f-4a9d-ae96-45c2bef21320","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:56abb3e7-6b6f-4a9d-ae96-45c2bef21320","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements at Oxford","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W197098352","https://openalex.org/W1604893126","https://openalex.org/W1654566671","https://openalex.org/W1667165204","https://openalex.org/W2044562173","https://openalex.org/W2079690285","https://openalex.org/W2093507948","https://openalex.org/W2098152234","https://openalex.org/W2101445835","https://openalex.org/W2104095591","https://openalex.org/W2112899949","https://openalex.org/W2116040950","https://openalex.org/W2121309198","https://openalex.org/W2132660956","https://openalex.org/W2134589316","https://openalex.org/W2135269154","https://openalex.org/W2136573752","https://openalex.org/W2140855113","https://openalex.org/W2141620354","https://openalex.org/W2144857435","https://openalex.org/W2155343350","https://openalex.org/W2161557710","https://openalex.org/W2165131537","https://openalex.org/W2408358017","https://openalex.org/W2942228371","https://openalex.org/W2998023265","https://openalex.org/W2998091135","https://openalex.org/W3211330693","https://openalex.org/W4232455990","https://openalex.org/W4238306122","https://openalex.org/W4285719527","https://openalex.org/W4301253858","https://openalex.org/W6636777225","https://openalex.org/W6772576394","https://openalex.org/W7024001005"],"related_works":["https://openalex.org/W2061808167","https://openalex.org/W2576470766","https://openalex.org/W2050888643","https://openalex.org/W3127486176","https://openalex.org/W2073821945","https://openalex.org/W2090488344","https://openalex.org/W2343233972","https://openalex.org/W4311365365","https://openalex.org/W2385471032","https://openalex.org/W2525379102"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
