{"id":"https://openalex.org/W2102319234","doi":"https://doi.org/10.1109/isbi.2002.1029185","title":"Prior shape models for boundary finding","display_name":"Prior shape models for boundary finding","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2102319234","doi":"https://doi.org/10.1109/isbi.2002.1029185","mag":"2102319234"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2002.1029185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2002.1029185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE International Symposium on Biomedical Imaging","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/A5078494006","display_name":"Lawrence H. Staib","orcid":"https://orcid.org/0000-0002-9516-5136"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"L.H. Staib","raw_affiliation_strings":["Departments of Diagnostic Radiology and Electrical Engineering, Yale University, USA","Departments of Diagnostic Radiol. & Electr. Eng., Yale Univ., New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Departments of Diagnostic Radiology and Electrical Engineering, Yale University, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Departments of Diagnostic Radiol. & Electr. Eng., Yale Univ., New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078494006"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57994074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"30","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9943000078201294,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9943000078201294,"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":0.9925000071525574,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9713000059127808,"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/boundary","display_name":"Boundary (topology)","score":0.7126463651657104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6621174812316895},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.553438127040863},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5383800864219666},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5306963324546814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5234860181808472},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.5184985399246216},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.517568051815033},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5071303844451904},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4802030324935913},{"id":"https://openalex.org/keywords/prior-information","display_name":"Prior information","score":0.46783721446990967},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4622385799884796},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45665207505226135},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43672433495521545},{"id":"https://openalex.org/keywords/information-geometry","display_name":"Information geometry","score":0.42964881658554077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4050382077693939},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35243725776672363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26886045932769775},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.12600117921829224},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10052263736724854}],"concepts":[{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.7126463651657104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621174812316895},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.553438127040863},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5383800864219666},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5306963324546814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5234860181808472},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.5184985399246216},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.517568051815033},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5071303844451904},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4802030324935913},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.46783721446990967},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4622385799884796},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45665207505226135},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43672433495521545},{"id":"https://openalex.org/C109546454","wikidata":"https://www.wikidata.org/wiki/Q3798604","display_name":"Information geometry","level":4,"score":0.42964881658554077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4050382077693939},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35243725776672363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26886045932769775},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.12600117921829224},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10052263736724854},{"id":"https://openalex.org/C12520029","wikidata":"https://www.wikidata.org/wiki/Q1147161","display_name":"Scalar curvature","level":3,"score":0.0},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2002.1029185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2002.1029185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE International Symposium on Biomedical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1512148629","https://openalex.org/W1574225613","https://openalex.org/W1622620102","https://openalex.org/W1992434120","https://openalex.org/W2003750906","https://openalex.org/W2018970031","https://openalex.org/W2097109632","https://openalex.org/W2104095591","https://openalex.org/W2105710164","https://openalex.org/W2112973107","https://openalex.org/W2125848778","https://openalex.org/W2129050768","https://openalex.org/W2133138342","https://openalex.org/W2133489969","https://openalex.org/W2140717750","https://openalex.org/W2148107745","https://openalex.org/W2157886876","https://openalex.org/W6674689540"],"related_works":["https://openalex.org/W1990603712","https://openalex.org/W2250899144","https://openalex.org/W2123454964","https://openalex.org/W2767026009","https://openalex.org/W4386501972","https://openalex.org/W2564136532","https://openalex.org/W2561082235","https://openalex.org/W4307587759","https://openalex.org/W1987068748","https://openalex.org/W110994207"],"abstract_inverted_index":{"Prior":[0,26],"shape":[1,27],"information":[2,31,67,71,101],"has":[3],"proven":[4],"to":[5,20,35,96,120],"be":[6,94,109],"a":[7,21,45,62,76,90,105,121],"key":[8],"component":[9],"of":[10,23,47,86],"modeling":[11],"for":[12,53],"boundary":[13,88],"finding":[14],"when":[15,114],"the":[16,57,83,87,98,112],"target":[17],"objects":[18],"belong":[19],"class":[22],"similar":[24],"shapes.":[25],"provides":[28],"specific":[29],"constraining":[30],"needed":[32,118],"in":[33,89],"order":[34],"overcome":[36],"noise,":[37],"missing":[38],"boundaries":[39],"and":[40,68],"confusing":[41],"image":[42,69],"information.":[43],"While":[44],"number":[46],"different":[48],"methods":[49],"have":[50],"been":[51],"proposed":[52],"incorporating":[54],"prior":[55,66],"information,":[56],"most":[58],"natural":[59],"approaches":[60],"use":[61],"Bayesian":[63],"formulation":[64],"where":[65],"derived":[70,81],"are":[72],"combined":[73],"by":[74],"optimizing":[75],"posterior":[77],"probability.":[78],"Shape":[79],"parameters":[80],"from":[82,104],"statistical":[84],"variation":[85],"training":[91,124],"set":[92],"can":[93,108],"used":[95],"model":[97],"object.":[99],"Generic":[100],"such":[102],"as":[103],"smoothness":[106],"constraint":[107],"incorporated":[110],"into":[111],"framework":[113],"additional":[115],"flexibility":[116],"is":[117],"due":[119],"small":[122],"available":[123],"set.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}