{"id":"https://openalex.org/W2100131102","doi":"https://doi.org/10.1109/iccv.2007.4409129","title":"From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle","display_name":"From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2100131102","doi":"https://doi.org/10.1109/iccv.2007.4409129","mag":"2100131102"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022846967","display_name":"Maxime Taron","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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maxime Taron","raw_affiliation_strings":["Ecole Centrale Paris, MAS, Chatenay-Malabry, France","Ecole Centrale Paris, MAS, 92295 Chatenay-Malabry, France. maxime.taron@ecp.fr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale Paris, MAS, Chatenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Ecole Centrale Paris, MAS, 92295 Chatenay-Malabry, France. maxime.taron@ecp.fr","institution_ids":["https://openalex.org/I216852786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077223134","display_name":"Nikos Paragios","orcid":"https://orcid.org/0000-0002-9668-4763"},"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nikos Paragios","raw_affiliation_strings":["Ecole Centrale Paris, MAS, Chatenay-Malabry, France","Ecole Centrale Paris, MAS, 92295 Chatenay-Malabry, France. nikos.paragios@ecp.fr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale Paris, MAS, Chatenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"Ecole Centrale Paris, MAS, 92295 Chatenay-Malabry, France. nikos.paragios@ecp.fr","institution_ids":["https://openalex.org/I216852786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109251531","display_name":"Marie\u2010Pierre Jolly","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marie-Pierre Jolly","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, USA","Siemens Corporate Research, 08540 Princeton, USA. marie-pierre.jolly@siemens.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, 08540 Princeton, USA. marie-pierre.jolly@siemens.com","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9944999814033508,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9941999912261963,"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/segmentation","display_name":"Segmentation","score":0.7412450909614563},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.740100622177124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7213074564933777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896398663520813},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.649263322353363},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.6426460146903992},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5590119361877441},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5234864950180054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4882802963256836},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4387018382549286},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.41234827041625977}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7412450909614563},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.740100622177124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7213074564933777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896398663520813},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.649263322353363},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.6426460146903992},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5590119361877441},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5234864950180054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4882802963256836},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4387018382549286},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.41234827041625977},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2007.4409129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.460.8866","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.460.8866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://certis.enpc.fr/publications/papers/MMBIA07.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W53949016","https://openalex.org/W88344350","https://openalex.org/W96440481","https://openalex.org/W644788093","https://openalex.org/W1480873147","https://openalex.org/W1506247199","https://openalex.org/W1548802052","https://openalex.org/W1644388879","https://openalex.org/W1758984152","https://openalex.org/W2032051785","https://openalex.org/W2038952578","https://openalex.org/W2060128769","https://openalex.org/W2082908671","https://openalex.org/W2099867136","https://openalex.org/W2155938108","https://openalex.org/W2163819245","https://openalex.org/W2798909945","https://openalex.org/W4211083646","https://openalex.org/W6602209453","https://openalex.org/W6603905665","https://openalex.org/W6628806528","https://openalex.org/W6675135435","https://openalex.org/W6750968397"],"related_works":["https://openalex.org/W3197954266","https://openalex.org/W4389009345","https://openalex.org/W3047746737","https://openalex.org/W3021454079","https://openalex.org/W1522196789","https://openalex.org/W4287691568","https://openalex.org/W4220718606","https://openalex.org/W2085143385","https://openalex.org/W2005489729","https://openalex.org/W3090294949"],"abstract_inverted_index":{"Reliable":[0],"segmentation":[1,133],"of":[2,17,24,47,70,77,93,105,108,115,120,126],"the":[3,48,75,81,86,91,94,103,106,116,121,124,132],"left":[4],"ventricle":[5],"is":[6,41,128,136],"a":[7,31,53,58,112,139],"long":[8],"sought":[9],"objective":[10],"in":[11,52,74,131,138,161],"medical":[12],"imaging":[13],"for":[14],"automatic":[15],"retrieval":[16],"anatomical":[18],"and":[19,22,89,110,145,157],"pathological":[20],"measurements":[21],"detection":[23],"malfunctions.":[25],"In":[26],"this":[27,37],"paper,":[28],"we":[29],"propose":[30],"novel":[32],"model-constrained":[33],"approach":[34,72],"to":[35,63,84,101,153],"address":[36],"task.":[38],"The":[39,67,150],"method":[40,151],"based":[42],"on":[43,80],"an":[44],"implicit":[45],"representation":[46],"shape":[49,54,83],"model":[50],"used":[51],"registration":[55],"framework":[56,141],"with":[57],"Thin":[59],"Plate":[60],"Spline":[61],"transform":[62],"retrieve":[64],"possible":[65],"deformations.":[66],"main":[68],"innovation":[69],"our":[71],"resides":[73],"use":[76,99],"uncertainties":[78,127],"defined":[79],"registered":[82],"augment":[85],"training":[87],"set":[88],"improve":[90],"robustness":[92],"statistical":[95],"deformable":[96,118],"model.":[97],"We":[98],"ICA":[100],"reduce":[102],"dimensionality":[104],"space":[107],"deformations":[109],"provide":[111],"good":[113],"separation":[114],"different":[117],"parts":[119],"heart.":[122],"Furthermore":[123],"estimation":[125],"also":[129],"introduced":[130],"process":[134],"which":[135],"addressed":[137],"variational":[140],"where":[142],"prior":[143],"knowledge":[144],"visual":[146],"support":[147],"are":[148],"considered.":[149],"lead":[152],"very":[154],"promising":[155],"qualitative":[156],"quantitative":[158],"experimental":[159],"results":[160],"CT.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
