{"id":"https://openalex.org/W2145047956","doi":"https://doi.org/10.1109/isbi.2008.4541148","title":"Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle","display_name":"Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2145047956","doi":"https://doi.org/10.1109/isbi.2008.4541148","mag":"2145047956"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2008.4541148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4541148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5064308224","display_name":"Radhou\u00e8ne Neji","orcid":"https://orcid.org/0000-0002-6543-4390"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","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/I4210094080","display_name":"ESME - \u00c9cole d\u2019ing\u00e9nieurs pluridisciplinaires","ror":"https://ror.org/00nf3nv81","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210094080"]},{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Neji","raw_affiliation_strings":["Department SSE, Ecole Superieure d''Electricite, Orsay, France","Ecole Centrale Paris, Laboratoire MAS, Chatenay-Malabry, France","INRIA Saclay, Equipe GALEN, Orsay, 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)","MAS - Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037 (Grande Voie des Vignes 92295 Ch\u00e2tenay-Malabry - France)","SUPELEC-Campus Gif (Plateau du Moulon - 3 rue Joliot-Curie - 91192 Gif-sur-Yvette CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department SSE, Ecole Superieure d''Electricite, Orsay, France","institution_ids":["https://openalex.org/I4210094080"]},{"raw_affiliation_string":"Ecole Centrale Paris, Laboratoire MAS, Chatenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"INRIA Saclay, Equipe GALEN, Orsay, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"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":"MAS - Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037 (Grande Voie des Vignes 92295 Ch\u00e2tenay-Malabry - France)","institution_ids":[]},{"raw_affiliation_string":"SUPELEC-Campus Gif (Plateau du Moulon - 3 rue Joliot-Curie - 91192 Gif-sur-Yvette CEDEX - France)","institution_ids":["https://openalex.org/I102475099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105692261","display_name":"G. Fleury","orcid":null},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Fleury","raw_affiliation_strings":["Department SSE, Ecole Superieure d''Electricite, France","SUPELEC-Campus Gif (Plateau du Moulon - 3 rue Joliot-Curie - 91192 Gif-sur-Yvette CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department SSE, Ecole Superieure d''Electricite, France","institution_ids":["https://openalex.org/I29607241"]},{"raw_affiliation_string":"SUPELEC-Campus Gif (Plateau du Moulon - 3 rue Joliot-Curie - 91192 Gif-sur-Yvette CEDEX - France)","institution_ids":["https://openalex.org/I102475099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105783155","display_name":"J-F. Deux","orcid":null},"institutions":[{"id":"https://openalex.org/I3019246885","display_name":"Centre Hospitalier Universitaire Henri-Mondor","ror":"https://ror.org/04m61mj84","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I3019246885"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J-F. Deux","raw_affiliation_strings":["Centre Hospitalier Universitaire Henri Mondor, Creteil, France","H\u00f4pital Henri Mondor (Cr\u00e9teil - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre Hospitalier Universitaire Henri Mondor, Creteil, France","institution_ids":["https://openalex.org/I3019246885"]},{"raw_affiliation_string":"H\u00f4pital Henri Mondor (Cr\u00e9teil - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111488434","display_name":"Alain Rahmouni","orcid":null},"institutions":[{"id":"https://openalex.org/I3019246885","display_name":"Centre Hospitalier Universitaire Henri-Mondor","ror":"https://ror.org/04m61mj84","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I3019246885"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Rahmouni","raw_affiliation_strings":["Centre Hospitalier Universitaire Henri Mondor, Creteil, France","H\u00f4pital Henri Mondor (Cr\u00e9teil - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre Hospitalier Universitaire Henri Mondor, Creteil, France","institution_ids":["https://openalex.org/I3019246885"]},{"raw_affiliation_string":"H\u00f4pital Henri Mondor (Cr\u00e9teil - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026191697","display_name":"Guillaume Bassez","orcid":"https://orcid.org/0000-0002-2044-1052"},"institutions":[{"id":"https://openalex.org/I3019246885","display_name":"Centre Hospitalier Universitaire Henri-Mondor","ror":"https://ror.org/04m61mj84","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I3019246885"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Bassez","raw_affiliation_strings":["Centre Hospitalier Universitaire Henri Mondor, Creteil, France","H\u00f4pital Henri Mondor (Cr\u00e9teil - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre Hospitalier Universitaire Henri Mondor, Creteil, France","institution_ids":["https://openalex.org/I3019246885"]},{"raw_affiliation_string":"H\u00f4pital Henri Mondor (Cr\u00e9teil - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073427485","display_name":"Alexandre Vignaud","orcid":"https://orcid.org/0000-0001-9203-0247"},"institutions":[{"id":"https://openalex.org/I4210122110","display_name":"Medical Solutions","ror":"https://ror.org/02kqtfa81","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210122110"]},{"id":"https://openalex.org/I4210138743","display_name":"Siemens (France)","ror":"https://ror.org/04q9w3z30","country_code":"FR","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210138743"]}],"countries":["FR","GB"],"is_corresponding":false,"raw_author_name":"A. Vignaud","raw_affiliation_strings":["Siemens Medical Solutions, Inc., Saint Denis, France","Siemens Medical Solutions (Saint-Denis - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Medical Solutions, Inc., Saint Denis, France","institution_ids":["https://openalex.org/I4210122110","https://openalex.org/I4210138743"]},{"raw_affiliation_string":"Siemens Medical Solutions (Saint-Denis - France)","institution_ids":["https://openalex.org/I4210138743"]}]},{"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/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","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":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Paragios","raw_affiliation_strings":["Ecole Centrale Paris, Laboratoire MAS, Chatenay-Malabry, France","INRIA Saclay, Equipe GALEN, Orsay, 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)","MAS - Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037 (Grande Voie des Vignes 92295 Ch\u00e2tenay-Malabry - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale Paris, Laboratoire MAS, Chatenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"INRIA Saclay, Equipe GALEN, Orsay, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"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":"MAS - Math\u00e9matiques Appliqu\u00e9es aux Syst\u00e8mes - EA 4037 (Grande Voie des Vignes 92295 Ch\u00e2tenay-Malabry - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7055,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69441875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"923","last_page":"926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9121999740600586,"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/support-vector-machine","display_name":"Support vector machine","score":0.7570545673370361},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.6866520643234253},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6824519634246826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6127012372016907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6002668142318726},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5907418131828308},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.551525354385376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5463656783103943},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5416844487190247},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.53038090467453},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4637598991394043},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.45947331190109253},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4333692193031311},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.429649293422699},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42586567997932434},{"id":"https://openalex.org/keywords/tensor-field","display_name":"Tensor field","score":0.4248579740524292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3881819546222687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22172516584396362},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10160726308822632},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09369739890098572},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08174705505371094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0739290714263916}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7570545673370361},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.6866520643234253},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6824519634246826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6127012372016907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6002668142318726},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5907418131828308},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.551525354385376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5463656783103943},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5416844487190247},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.53038090467453},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4637598991394043},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.45947331190109253},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4333692193031311},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.429649293422699},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42586567997932434},{"id":"https://openalex.org/C166077713","wikidata":"https://www.wikidata.org/wiki/Q1758924","display_name":"Tensor field","level":3,"score":0.4248579740524292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3881819546222687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22172516584396362},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10160726308822632},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09369739890098572},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08174705505371094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0739290714263916},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C520416788","wikidata":"https://www.wikidata.org/wiki/Q5419229","display_name":"Exact solutions in general relativity","level":2,"score":0.0},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2008.4541148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4541148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.591.9156","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.591.9156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.archives-ouvertes.fr/docs/00/26/70/32/PDF/ISBI08.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00267032v1","is_oa":false,"landing_page_url":"https://centralesupelec.hal.science/hal-00267032","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBI International Symposium on Biomedical Imaging, May 2008, Paris, France. pp. 923-926, ⟨10.1109/ISBI.2008.4541148⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1537145174","https://openalex.org/W1843611896","https://openalex.org/W1983496390","https://openalex.org/W1984334616","https://openalex.org/W1992865468","https://openalex.org/W2015512087","https://openalex.org/W2028724574","https://openalex.org/W2061804475","https://openalex.org/W2062692054","https://openalex.org/W2097973429","https://openalex.org/W2120259577","https://openalex.org/W2129461335","https://openalex.org/W2148603752","https://openalex.org/W2149203124","https://openalex.org/W2151531457","https://openalex.org/W2166473218","https://openalex.org/W3003413895","https://openalex.org/W4318901880","https://openalex.org/W6674744358","https://openalex.org/W6682443497","https://openalex.org/W6684116732"],"related_works":["https://openalex.org/W987019958","https://openalex.org/W4233015508","https://openalex.org/W2030382593","https://openalex.org/W1983122994","https://openalex.org/W2078379274","https://openalex.org/W2033503400","https://openalex.org/W2133071149","https://openalex.org/W2574864235","https://openalex.org/W2099971354","https://openalex.org/W2017980251"],"abstract_inverted_index":{"In":[0],"this":[1,35],"paper":[2],"we":[3,25,37],"propose":[4],"a":[5,71],"classification-based":[6],"method":[7,103],"towards":[8],"the":[9,30,47,59,80,99,106],"segmentation":[10],"of":[11,44,49,61,70,82,93,101],"diffusion":[12,22,90],"tensor":[13,62,91],"images.":[14],"We":[15,64],"use":[16],"support":[17],"vector":[18],"machines":[19],"to":[20,29],"classify":[21],"tensors":[23],"and":[24,39],"extend":[26],"linear":[27,32],"classification":[28,60],"non":[31],"case.":[33],"To":[34],"end,":[36],"discuss":[38],"evaluate":[40],"three":[41],"different":[42,107],"classes":[43],"kernels":[45],"on":[46],"space":[48],"symmetric":[50],"definite":[51],"positive":[52],"matrices":[53],"that":[54,76],"are":[55,87],"well":[56],"suited":[57],"for":[58,89],"data.":[63],"impose":[65],"spatial":[66],"constraints":[67],"by":[68],"means":[69],"Markov":[72],"random":[73],"field":[74],"model":[75],"takes":[77],"into":[78],"account":[79],"result":[81],"SVM":[83],"classification.":[84],"Experimental":[85],"results":[86],"provided":[88],"images":[92],"human":[94],"skeletal":[95],"muscles.":[96],"They":[97],"demonstrate":[98],"potential":[100],"our":[102],"in":[104],"discriminating":[105],"muscle":[108],"groups.":[109]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}