{"id":"https://openalex.org/W2083338051","doi":"https://doi.org/10.1109/ijcnn.2007.4371164","title":"A Nonparametric Approach for Active Contours","display_name":"A Nonparametric Approach for Active Contours","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2083338051","doi":"https://doi.org/10.1109/ijcnn.2007.4371164","mag":"2083338051"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371164","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-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/A5080908821","display_name":"Umut \u00d6zertem","orcid":null},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Umut Ozertem","raw_affiliation_strings":["Department of Computer science and Electrical Engineering, Oregon Health and Sciences University, Portland, OR, USA","[Oregon Health & Science University, Portland]"],"affiliations":[{"raw_affiliation_string":"Department of Computer science and Electrical Engineering, Oregon Health and Sciences University, Portland, OR, USA","institution_ids":["https://openalex.org/I165690674"]},{"raw_affiliation_string":"[Oregon Health & Science University, Portland]","institution_ids":["https://openalex.org/I165690674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deniz Erdogmus","raw_affiliation_strings":["Department of Computer science and Electrical Engineering, Oregon Health and Sciences University, Portland, OR, USA","[Oregon Health & Science University, Portland]"],"affiliations":[{"raw_affiliation_string":"Department of Computer science and Electrical Engineering, Oregon Health and Sciences University, Portland, OR, USA","institution_ids":["https://openalex.org/I165690674"]},{"raw_affiliation_string":"[Oregon Health & Science University, Portland]","institution_ids":["https://openalex.org/I165690674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080908821"],"corresponding_institution_ids":["https://openalex.org/I165690674"],"apc_list":null,"apc_paid":null,"fwci":0.4497,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52753623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"1407","last_page":"1410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9925000071525574,"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":0.9925000071525574,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9843000173568726,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9760000109672546,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.8604461550712585},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.7465574741363525},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6941133737564087},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6249471306800842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.559770941734314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5420388579368591},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5374762415885925},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.4988088607788086},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4525222182273865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4523230493068695},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4516441524028778},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3912162780761719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3777627944946289},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3763965666294098},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35871803760528564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3217032253742218},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13111627101898193}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.8604461550712585},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7465574741363525},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6941133737564087},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6249471306800842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.559770941734314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5420388579368591},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5374762415885925},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.4988088607788086},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4525222182273865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4523230493068695},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4516441524028778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3912162780761719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3777627944946289},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3763965666294098},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35871803760528564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3217032253742218},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13111627101898193},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371164","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1003.3085","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1003.3085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Deniz_Erdogmus/publication/221531586_A_Nonparametric_Approach_for_Active_Contours/links/02bfe513f72a8a9619000000.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.984.8088","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.984.8088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Deniz_Erdogmus/publication/221531586_A_Nonparametric_Approach_for_Active_Contours/links/02bfe513f72a8a9619000000.pdf?origin%3Dpublication_detail","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.999.9001","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.999.9001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1.ece.neu.edu/%7Eerdogmus/publications/C116_IJCNN2007_NonparametricSnake_Umut.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W26561893","https://openalex.org/W2067191022","https://openalex.org/W2086921140","https://openalex.org/W2104095591","https://openalex.org/W2111737762","https://openalex.org/W2118020555","https://openalex.org/W2121947440","https://openalex.org/W2129905273","https://openalex.org/W2132663727","https://openalex.org/W2145023731","https://openalex.org/W2145803225","https://openalex.org/W2154841693","https://openalex.org/W4233014035","https://openalex.org/W6601067752","https://openalex.org/W6681640588"],"related_works":["https://openalex.org/W1990603712","https://openalex.org/W2250899144","https://openalex.org/W2063312490","https://openalex.org/W1861675581","https://openalex.org/W102157910","https://openalex.org/W1491976205","https://openalex.org/W2333568777","https://openalex.org/W1968615915","https://openalex.org/W4206356767","https://openalex.org/W2368765189"],"abstract_inverted_index":{"Active":[0],"contours":[1],"are":[2,11,67],"commonly":[3],"used":[4],"in":[5,21,60,91],"many":[6],"image":[7],"segmentation":[8],"applications.":[9],"There":[10],"different":[12,70],"active":[13,18,44],"contour":[14,19],"definitions,":[15],"but":[16],"all":[17],"definitions":[20],"the":[22,29,34,43,47,52,65,88,97,116],"literature":[23],"use":[24],"parametric":[25],"forms":[26],"to":[27,95],"determine":[28],"shape":[30],"priors":[31],"or":[32,49],"adjust":[33],"weighting":[35],"of":[36,51,55,81,99,103],"internal":[37],"and":[38,64,119,124],"external":[39],"forces":[40],"acting":[41],"on":[42],"contour.":[45],"However,":[46],"evaluation":[48],"estimation":[50],"optimal":[53],"values":[54,102],"these":[56,104],"parameters":[57,71,106],"is":[58,76],"impossible":[59],"a":[61,73,92,110],"general":[62],"sense,":[63],"algorithms":[66],"run":[68],"with":[69,121],"until":[72],"satisfactory":[74],"result":[75],"obtained.":[77],"To":[78],"get":[79],"rid":[80],"this":[82],"exhaustive":[83],"parameter":[84],"search,":[85],"we":[86],"approach":[87],"same":[89],"problem":[90,98],"nonparametric":[93],"way":[94],"translate":[96],"seeking":[100,108],"good":[101,111],"unknown":[105],"into":[107],"for":[109],"density":[112],"estimate.":[113],"We":[114],"tested":[115],"proposed":[117],"method":[118],"compared":[120],"earlier":[122],"approaches":[123],"obtained":[125],"better":[126],"results.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}