{"id":"https://openalex.org/W2073857779","doi":"https://doi.org/10.1155/2014/476837","title":"Crossing Fibers Detection with an Analytical High Order Tensor Decomposition","display_name":"Crossing Fibers Detection with an Analytical High Order Tensor Decomposition","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2073857779","doi":"https://doi.org/10.1155/2014/476837","mag":"2073857779","pmid":"https://pubmed.ncbi.nlm.nih.gov/25246940","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/4163451"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/476837","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2014/476837.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/cmmm/2014/476837.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074785454","display_name":"Thinhinane Megherbi","orcid":"https://orcid.org/0000-0002-1928-7668"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"T. Megherbi","raw_affiliation_strings":["USTHB, FEI, LRPE, ParIM\u00e9d, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"USTHB, FEI, LRPE, ParIM\u00e9d, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054433483","display_name":"Mouloud Kachouane","orcid":"https://orcid.org/0000-0002-9907-8910"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"M. Kachouane","raw_affiliation_strings":["USTHB, FEI, LRPE, ParIM\u00e9d, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"USTHB, FEI, LRPE, ParIM\u00e9d, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103507354","display_name":"F. Oulebsir-Boumghar","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"F. Oulebsir-Boumghar","raw_affiliation_strings":["USTHB, FEI, LRPE, ParIM\u00e9d, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"USTHB, FEI, LRPE, ParIM\u00e9d, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082632190","display_name":"Rachid Deriche","orcid":"https://orcid.org/0000-0002-4643-8417"},"institutions":[{"id":"https://openalex.org/I4210106545","display_name":"Research Centre Inria Sophia Antipolis - M\u00e9diterran\u00e9e","ror":"https://ror.org/01nzkaw91","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106545"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Deriche","raw_affiliation_strings":["Equipe-Projet Athena, Inria Sophia Antipolis-M\u00e9diterran\u00e9e, France"],"affiliations":[{"raw_affiliation_string":"Equipe-Projet Athena, Inria Sophia Antipolis-M\u00e9diterran\u00e9e, France","institution_ids":["https://openalex.org/I4210106545"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2100,"currency":"USD","value_usd":2100,"provenance":"doaj"},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100,"provenance":"doaj"},"fwci":0.773,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":5,"citation_normalized_percentile":{"value":0.70187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":"2014","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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":1.0,"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/T12303","display_name":"Tensor decomposition and applications","score":0.999,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9865,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker Decomposition","score":0.5271508},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.48355457},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43529356},{"id":"https://openalex.org/keywords/human-connectome-project","display_name":"Human Connectome Project","score":0.42522994}],"concepts":[{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.70324504},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.69974434},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5831287},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.55452913},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.54640466},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.5271508},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.48355457},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48315042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4792809},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4755851},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43529356},{"id":"https://openalex.org/C97820695","wikidata":"https://www.wikidata.org/wiki/Q387749","display_name":"Human Connectome Project","level":3,"score":0.42522994},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.41139376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40005058},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.34801668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3355018},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28449407},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.25129387},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2126162},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.17685506},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12890685},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.12038088},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10006383},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"Q000648","qualifier_name":"ultrastructure","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D038524","descriptor_name":"Diffusion Magnetic Resonance Imaging","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066127","descriptor_name":"White Matter","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/476837","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2014/476837.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://hal.inria.fr/hal-01078352","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":true,"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":["Centre National de la Recherche Scientifique"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://doaj.org/article/d6cd763599de46b29f0839b8949860dc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01078352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc4163451","pdf_url":"https://europepmc.org/articles/pmc4163451?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163451","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25246940","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/476837","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2014/476837.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.57,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W1527153354","https://openalex.org/W1694249409","https://openalex.org/W1974849326","https://openalex.org/W1979757232","https://openalex.org/W1988954604","https://openalex.org/W2001611992","https://openalex.org/W2022530159","https://openalex.org/W2032220399","https://openalex.org/W2036649678","https://openalex.org/W2049924579","https://openalex.org/W2075665712","https://openalex.org/W2090208105","https://openalex.org/W2092955737","https://openalex.org/W2100640122","https://openalex.org/W2105186495","https://openalex.org/W2111508341","https://openalex.org/W2119741678","https://openalex.org/W2144661574","https://openalex.org/W2167908150","https://openalex.org/W2525081227","https://openalex.org/W2570391697","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4401571656","https://openalex.org/W4400359433","https://openalex.org/W4380353731","https://openalex.org/W363907200","https://openalex.org/W2972411153","https://openalex.org/W2931360818","https://openalex.org/W2528560501","https://openalex.org/W2488984732","https://openalex.org/W1965402735","https://openalex.org/W1480657811"],"abstract_inverted_index":{"Diffusion":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(dMRI)":[4],"is":[5,103,118,135,179],"the":[6,15,24,70,73,87,90,101,108,124,140,150],"only":[7],"technique":[8,53],"to":[9,54,86,120,182,196],"probe":[10],"in":[11,37,187],"vivo":[12],"and":[13,47,51,115,137,166,174,184,192,199],"noninvasively":[14],"fiber":[16,77],"structure":[17],"of":[18,26,89,110,153,189],"human":[19,168],"brain":[20,169],"white":[21],"matter.":[22],"Detecting":[23],"crossing":[25,57,142],"neuronal":[27],"fibers":[28,58,125,143],"remains":[29],"an":[30,34,49],"exciting":[31],"challenge":[32],"with":[33],"important":[35],"impact":[36],"tractography.":[38],"In":[39],"this":[40,44,63,116],"work,":[41],"we":[42,65],"tackle":[43],"challenging":[45],"problem":[46],"propose":[48],"original":[50],"efficient":[52],"extract":[55,122],"all":[56,123],"from":[59,69],"diffusion":[60],"signals.":[61],"To":[62],"end,":[64],"start":[66],"by":[67],"estimating,":[68],"dMRI":[71],"signal,":[72],"so-called":[74],"Cartesian":[75],"tensor":[76,98,131],"orientation":[78],"distribution":[79],"(CT-FOD)":[80],"function,":[81],"whose":[82],"maxima":[83],"correspond":[84],"exactly":[85],"orientations":[88],"fibers.":[91,154],"The":[92],"fourth":[93],"order":[94,130],"symmetric":[95],"positive":[96],"definite":[97],"that":[99,177],"represents":[100],"CT-FOD":[102],"then":[104],"analytically":[105],"decomposed":[106],"via":[107],"application":[109],"a":[111,146],"new":[112],"theoretical":[113],"approach":[114,134,173],"decomposition":[117,132],"used":[119],"accurately":[121],"orientations.":[126],"Our":[127],"proposed":[128],"high":[129],"based":[133],"minimal":[136],"allows":[138],"recovering":[139],"whole":[141],"without":[144],"any":[145],"priori":[147],"information":[148],"on":[149,158,162,167],"total":[151],"number":[152],"Various":[155],"experiments":[156],"performed":[157],"noisy":[159],"synthetic":[160],"data,":[161],"phantom":[163],"diffusion,":[164],"data":[165,170],"validate":[171],"our":[172],"clearly":[175],"demonstrate":[176],"it":[178],"efficient,":[180],"robust":[181],"noise":[183],"performs":[185],"favorably":[186],"terms":[188],"angular":[190],"resolution":[191],"accuracy":[193],"when":[194],"compared":[195],"some":[197],"classical":[198],"state-of-the-art":[200],"approaches.":[201]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2073857779","counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2024-12-08T19:39:32.424292","created_date":"2016-06-24"}