{"id":"https://openalex.org/W2097335251","doi":"https://doi.org/10.1109/cvpr.2008.4587478","title":"Sparsity, redundancy and optimal image support towards knowledge-based segmentation","display_name":"Sparsity, redundancy and optimal image support towards knowledge-based segmentation","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2097335251","doi":"https://doi.org/10.1109/cvpr.2008.4587478","mag":"2097335251"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5057489759","display_name":"Salma Essafi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Salma Essafi","raw_affiliation_strings":["Equipe GALEN, INRIA Saclay-Ile-de-France, Orsay, France","Laboratoire MAS, Ecole Centrale Paris, Malabry, France"],"affiliations":[{"raw_affiliation_string":"Equipe GALEN, INRIA Saclay-Ile-de-France, Orsay, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Laboratoire MAS, Ecole Centrale Paris, Malabry, France","institution_ids":["https://openalex.org/I216852786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060814361","display_name":"Georg Langs","orcid":"https://orcid.org/0000-0002-5536-6873"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786"]},{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Georg Langs","raw_affiliation_strings":["Equipe GALEN, INRIA Saclay-Ile-de-France, Orsay, France","Laboratoire MAS, Ecole Centrale Paris, Malabry, France"],"affiliations":[{"raw_affiliation_string":"Equipe GALEN, INRIA Saclay-Ile-de-France, Orsay, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Laboratoire MAS, Ecole Centrale Paris, Malabry, France","institution_ids":["https://openalex.org/I216852786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008084000","display_name":"Nikos Paragios","orcid":null},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786"]},{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nikos Paragios","raw_affiliation_strings":["Equipe GALEN, INRIA Saclay-Ile-de-France, Orsay, France","Laboratoire MAS, Ecole Centrale Paris, Malabry, France"],"affiliations":[{"raw_affiliation_string":"Equipe GALEN, INRIA Saclay-Ile-de-France, Orsay, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Laboratoire MAS, Ecole Centrale Paris, Malabry, France","institution_ids":["https://openalex.org/I216852786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057489759"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I216852786","https://openalex.org/I4210126360"],"apc_list":null,"apc_paid":null,"fwci":1.7735,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8619447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","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/T10862","display_name":"AI in cancer detection","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6795482635498047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6677192449569702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.64081871509552},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.6168720126152039},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6123268604278564},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5685795545578003},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.56538987159729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5649638175964355},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.52763432264328},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.5084704160690308},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46052345633506775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4530754089355469},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4183657169342041}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6795482635498047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6677192449569702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64081871509552},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.6168720126152039},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6123268604278564},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5685795545578003},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.56538987159729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5649638175964355},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.52763432264328},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.5084704160690308},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46052345633506775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4530754089355469},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4183657169342041},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.2819","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.2819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/138.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00918710v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00918710","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVPR 2008, 2008, United States. pp.1-7","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W200617456","https://openalex.org/W1567847489","https://openalex.org/W1578099820","https://openalex.org/W1591723903","https://openalex.org/W1974322200","https://openalex.org/W1977574189","https://openalex.org/W1997404989","https://openalex.org/W1997523154","https://openalex.org/W2038952578","https://openalex.org/W2050303882","https://openalex.org/W2054658115","https://openalex.org/W2062558938","https://openalex.org/W2099290282","https://openalex.org/W2100131102","https://openalex.org/W2106110775","https://openalex.org/W2110733656","https://openalex.org/W2117684310","https://openalex.org/W2128409098","https://openalex.org/W2137452465","https://openalex.org/W2152826865","https://openalex.org/W2168907905","https://openalex.org/W2174160981","https://openalex.org/W3148687990","https://openalex.org/W4213367101","https://openalex.org/W6685064473"],"related_works":["https://openalex.org/W2126962853","https://openalex.org/W2991741829","https://openalex.org/W2564545579","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2011478888","https://openalex.org/W2532906573","https://openalex.org/W1957945098","https://openalex.org/W2945274617","https://openalex.org/W35828208"],"abstract_inverted_index":{"In":[0,30],"this":[1,31],"paper,":[2],"we":[3,33],"propose":[4],"a":[5,35,47,85],"novel":[6],"approach":[7,133],"to":[8,64,106,120],"model":[9,49,70,117],"shape":[10,38,48,92],"variations.":[11],"It":[12],"encodes":[13],"sparsity,":[14],"exploits":[15],"geometric":[16],"redundancy,":[17],"and":[18,27,56,76,91,118,152],"accounts":[19],"for":[20,81],"the":[21,53,57,72,116,122,156],"different":[22],"degrees":[23],"of":[24,59,71,88,140,155],"local":[25,60],"variation":[26],"image":[28,89,109],"support.":[29],"context":[32],"consider":[34],"control-point":[36],"based":[37,45],"representation.":[39],"Their":[40],"sparse":[41,69],"distribution":[42,87],"is":[43,104],"derived":[44],"on":[46,137],"metric":[50],"learned":[51],"from":[52],"training":[54],"data,":[55],"ambiguity":[58],"appearance":[61],"with":[62,134],"regard":[63],"segmentation":[65,100,124],"changes.":[66],"The":[67],"resulting":[68],"object":[73],"improves":[74],"reconstruction":[75],"search":[77],"behavior,":[78],"in":[79],"particular":[80],"data":[82,139,154],"that":[83],"exhibit":[84],"heterogeneous":[86],"information":[90],"complexity.":[93],"Furthermore,":[94],"it":[95,103],"goes":[96],"beyond":[97],"conventional":[98],"image-based":[99,148],"approaches":[101],"since":[102],"able":[105],"identify":[107],"reliable":[108],"structures":[110],"which":[111],"are":[112],"then":[113],"encoded":[114],"within":[115],"used":[119],"determine":[121],"optimal":[123],"map.":[125],"We":[126],"report":[127],"promising":[128],"experimental":[129],"results":[130],"comparing":[131],"our":[132],"standard":[135],"models":[136],"MRI":[138],"calf":[141],"muscles":[142],"-":[143,151],"an":[144],"application":[145],"where":[146],"traditional":[147],"methods":[149],"fail":[150],"CT":[153],"left":[157],"heart":[158],"ventricle.":[159]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}