{"id":"https://openalex.org/W2102299863","doi":"https://doi.org/10.1142/s0219467804001452","title":"ACTIVE DEFORMABLE MODELS USING DENSITY ESTIMATION","display_name":"ACTIVE DEFORMABLE MODELS USING DENSITY ESTIMATION","publication_year":2004,"publication_date":"2004-07-01","ids":{"openalex":"https://openalex.org/W2102299863","doi":"https://doi.org/10.1142/s0219467804001452","mag":"2102299863"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467804001452","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467804001452","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5028776484","display_name":"Wael AbdAlmageed","orcid":"https://orcid.org/0000-0002-8320-8530"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"WAEL ABD-ALMAGEED","raw_affiliation_strings":["Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA","Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034838914","display_name":"Christopher E. Smith","orcid":"https://orcid.org/0000-0001-8795-8083"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"CHRISTOPHER E. SMITH","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico 87131, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico 87131, USA","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028776484"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.8199,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75434156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"04","issue":"03","first_page":"343","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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":0.9983999729156494,"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":0.719566285610199},{"id":"https://openalex.org/keywords/colored","display_name":"Colored","score":0.5489197969436646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5305616855621338},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.5016465187072754},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4828979969024658},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.47010916471481323},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.447148859500885},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4210919141769409},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3404136896133423},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33780190348625183},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3278864324092865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20504611730575562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719566285610199},{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.5489197969436646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5305616855621338},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.5016465187072754},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4828979969024658},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.47010916471481323},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.447148859500885},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4210919141769409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3404136896133423},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33780190348625183},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3278864324092865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20504611730575562},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467804001452","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467804001452","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1489608363","https://openalex.org/W1544729927","https://openalex.org/W1591169274","https://openalex.org/W1866425048","https://openalex.org/W2023297597","https://openalex.org/W2049633694","https://openalex.org/W2086921140","https://openalex.org/W2097061887","https://openalex.org/W2098152234","https://openalex.org/W2118020555","https://openalex.org/W2165291025","https://openalex.org/W4230900352","https://openalex.org/W4240153047","https://openalex.org/W4285719527","https://openalex.org/W4297792979"],"related_works":["https://openalex.org/W1482149696","https://openalex.org/W2144201579","https://openalex.org/W4240479520","https://openalex.org/W3123419490","https://openalex.org/W2007242302","https://openalex.org/W4311428604","https://openalex.org/W1502956129","https://openalex.org/W4251895760","https://openalex.org/W3181529928","https://openalex.org/W2026307144"],"abstract_inverted_index":{"This":[0],"paper":[1,11],"introduces":[2],"a":[3,14,33],"new":[4,69],"approach":[5],"to":[6,31,49,72],"active":[7],"deformable":[8],"models.":[9],"The":[10,40],"starts":[12],"with":[13],"brief":[15],"review":[16],"of":[17,43,64,75],"the":[18,24,44,61,65,68,73],"relevant":[19],"approaches.":[20],"We":[21,56],"then":[22],"use":[23],"Expectation":[25],"Maximization":[26],"and":[27],"Parzen":[28],"Window":[29],"techniques":[30],"develop":[32],"more":[34],"robust":[35],"formulation":[36],"for":[37],"pressure":[38],"snakes.":[39],"generic":[41],"nature":[42],"proposed":[45],"model":[46],"allows":[47],"it":[48],"perform":[50],"well":[51],"on":[52],"complex":[53],"colored":[54],"images.":[55],"show,":[57],"by":[58],"several":[59],"examples,":[60],"enhanced":[62],"performance":[63,74],"snake":[66,78],"under":[67],"formulation,":[70],"compared":[71],"other":[76],"known":[77],"formulations.":[79]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
