{"id":"https://openalex.org/W2070238350","doi":"https://doi.org/10.1109/isbi.2012.6235836","title":"3D cardiac segmentation with pose-invariant higher-order MRFs","display_name":"3D cardiac segmentation with pose-invariant higher-order MRFs","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2070238350","doi":"https://doi.org/10.1109/isbi.2012.6235836","mag":"2070238350"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"preprint","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/A5102772800","display_name":"Bo Xiang","orcid":"https://orcid.org/0000-0002-4695-9714"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"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/I280199911","display_name":"Bouygues (France)","ror":"https://ror.org/056185y51","country_code":"FR","type":"company","lineage":["https://openalex.org/I280199911"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bo Xiang","raw_affiliation_strings":["Center of Visual Computing, Ecole Centrale de Paris, France","CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Center of Visual Computing, Ecole Centrale de Paris, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I280199911"]},{"raw_affiliation_string":"GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","institution_ids":["https://openalex.org/I216852786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620659","display_name":"Chaohui Wang","orcid":"https://orcid.org/0000-0001-8592-4920"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I280199911","display_name":"Bouygues (France)","ror":"https://ror.org/056185y51","country_code":"FR","type":"company","lineage":["https://openalex.org/I280199911"]},{"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":"Chaohui Wang","raw_affiliation_strings":["Center of Visual Computing, Ecole Centrale de Paris, France","GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)"],"affiliations":[{"raw_affiliation_string":"Center of Visual Computing, Ecole Centrale de Paris, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I280199911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019569068","display_name":"Jean\u2010Fran\u00e7ois Deux","orcid":"https://orcid.org/0000-0003-2928-1929"},"institutions":[{"id":"https://openalex.org/I4210130325","display_name":"H\u00f4pitaux Universitaires Henri-Mondor","ror":"https://ror.org/033yb0967","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210130325"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Francois Deux","raw_affiliation_strings":["Radiology Department, Henri Mondor Hospital, Creteil, France","Service d'imagerie m\u00e9dicale (51 Avenue du Mar\u00e9chel de Tassigny 94010 Cr\u00e9teil CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Radiology Department, Henri Mondor Hospital, Creteil, France","institution_ids":["https://openalex.org/I4210130325"]},{"raw_affiliation_string":"Service d'imagerie m\u00e9dicale (51 Avenue du Mar\u00e9chel de Tassigny 94010 Cr\u00e9teil CEDEX - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111488434","display_name":"Alain Rahmouni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130325","display_name":"H\u00f4pitaux Universitaires Henri-Mondor","ror":"https://ror.org/033yb0967","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210130325"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alain Rahmouni","raw_affiliation_strings":["Radiology Department, Henri Mondor Hospital, Creteil, France","Service d'imagerie m\u00e9dicale (51 Avenue du Mar\u00e9chel de Tassigny 94010 Cr\u00e9teil CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Radiology Department, Henri Mondor Hospital, Creteil, France","institution_ids":["https://openalex.org/I4210130325"]},{"raw_affiliation_string":"Service d'imagerie m\u00e9dicale (51 Avenue du Mar\u00e9chel de Tassigny 94010 Cr\u00e9teil CEDEX - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077223134","display_name":"Nikos Paragios","orcid":"https://orcid.org/0000-0002-9668-4763"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I280199911","display_name":"Bouygues (France)","ror":"https://ror.org/056185y51","country_code":"FR","type":"company","lineage":["https://openalex.org/I280199911"]},{"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":["Center of Visual Computing, Ecole Centrale de Paris, France","CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Center of Visual Computing, Ecole Centrale de Paris, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"CVN - Centre de vision num\u00e9rique (CentraleSup\u00e9lec - B\u00e2timent Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I280199911"]},{"raw_affiliation_string":"GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content (Laboratoire MAS Ecole Centrale de Paris Grande Voie des Vignes 92295 Chatenay-Malabry Cedex - France)","institution_ids":["https://openalex.org/I216852786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102772800"],"corresponding_institution_ids":["https://openalex.org/I216852786","https://openalex.org/I280199911","https://openalex.org/I4210107720"],"apc_list":null,"apc_paid":null,"fwci":2.2269,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89350826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1425","last_page":"1428"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9977999925613403,"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":0.9912999868392944,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.689849853515625},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5871157050132751},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5669321417808533},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5653001666069031},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5541008114814758},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5516201853752136},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.504703164100647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4791097640991211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45046916604042053},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4464011490345001},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11768069863319397}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.689849853515625},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5871157050132751},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5669321417808533},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5653001666069031},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5541008114814758},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5516201853752136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.504703164100647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4791097640991211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45046916604042053},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4464011490345001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11768069863319397},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2012.6235836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00776025v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-00776025","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":"International Symposium on BIOMEDICAL IMAGING: From Nano to Macro, May 2012, Barcelona, Spain. ⟨10.1109/isbi.2012.6235836⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1546961578","https://openalex.org/W1554965040","https://openalex.org/W2038952578","https://openalex.org/W2060128769","https://openalex.org/W2069303738","https://openalex.org/W2111067708","https://openalex.org/W2114741181","https://openalex.org/W2125375535","https://openalex.org/W2125637308","https://openalex.org/W2143941386","https://openalex.org/W2911964244","https://openalex.org/W6633414824","https://openalex.org/W6667782799"],"related_works":["https://openalex.org/W1660242800","https://openalex.org/W2077211377","https://openalex.org/W4233585817","https://openalex.org/W1522196789","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2086619084","https://openalex.org/W2004379491","https://openalex.org/W2083140487"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,37,49,89],"novel":[4],"pose-invariant":[5],"segmentation":[6],"approach":[7],"for":[8],"left":[9],"ventricle":[10,60],"in":[11],"3D":[12],"CT":[13],"images.":[14],"The":[15,32,59],"proposed":[16],"formulation":[17],"is":[18,34,62],"modular":[19],"with":[20,98],"respect":[21],"to":[22,48,56],"the":[23,74,86,99,103],"image":[24,67,87],"support":[25],"(i.e.":[26],"landmarks,":[27],"edges":[28],"and":[29,73],"regional":[30,82],"statistics).":[31],"prior":[33,52,101],"represented":[35],"as":[36],"third-order":[38],"Markov":[39],"Random":[40],"Field":[41],"(MRF)":[42],"where":[43,66],"triplets":[44],"of":[45,81,105],"points":[46],"result":[47],"low-rank":[50],"statistical":[51],"while":[53],"inheriting":[54],"invariance":[55],"global":[57],"transformations.":[58],"surface":[61],"determined":[63],"through":[64],"triangulation":[65],"discontinuities":[68],"can":[69],"be":[70],"easily":[71],"evaluated":[72],"Divergence":[75],"theorem":[76],"provides":[77],"an":[78],"exact":[79],"calculation":[80],"statistics":[83],"acting":[84],"on":[85],"or":[88],"derived":[90],"feature":[91],"space.":[92],"Promising":[93],"results":[94],"using":[95],"boosting":[96],"along":[97],"learned":[100],"demonstrate":[102],"potential":[104],"our":[106],"method.":[107]},"counts_by_year":[{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}