{"id":"https://openalex.org/W2015702176","doi":"https://doi.org/10.1109/ictta.2008.4530104","title":"Analysis of stroke Magnetic resonance images","display_name":"Analysis of stroke Magnetic resonance images","publication_year":2008,"publication_date":"2008-04-01","ids":{"openalex":"https://openalex.org/W2015702176","doi":"https://doi.org/10.1109/ictta.2008.4530104","mag":"2015702176"},"language":"en","primary_location":{"id":"doi:10.1109/ictta.2008.4530104","doi":"https://doi.org/10.1109/ictta.2008.4530104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictta.2008.4530104","pdf_url":null,"source":{"id":"https://openalex.org/S7407087673","display_name":"International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5000388782","display_name":"Yacine Kabir","orcid":"https://orcid.org/0000-0002-1207-6518","observed_orcids":["https://orcid.org/0000-0002-1207-6518"]},"institutions":[{"id":"https://openalex.org/I83332908","display_name":"University of Blida","ror":"https://ror.org/03g41pw14","country_code":"DZ","type":"education","lineage":["https://openalex.org/I83332908"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Yacine Kabir","raw_affiliation_strings":["Electronics Department, Faculty of Engineering Science, Blida University, Algeria","Electronics Department, Faculty of Engineering Science, Blida University, B.P 270 Route de Soum\u00e2a - Blida, Alegria. +213 (0)25 43 21 91, kabyac@yahoo.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Department, Faculty of Engineering Science, Blida University, Algeria","institution_ids":["https://openalex.org/I83332908"]},{"raw_affiliation_string":"Electronics Department, Faculty of Engineering Science, Blida University, B.P 270 Route de Soum\u00e2a - Blida, Alegria. +213 (0)25 43 21 91, kabyac@yahoo.com","institution_ids":["https://openalex.org/I83332908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008445943","display_name":"Aichouche Belhadj-Aissa","orcid":"https://orcid.org/0000-0001-7287-2981","observed_orcids":["https://orcid.org/0000-0001-7287-2981"]},"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":"A. Belhadj-aissa","raw_affiliation_strings":["Image processing and radiation Laboratory, Faculty of Electronics and Computer Science, University of Sciences and Technology Houari Boumediene, Algiers, Algeria","Image processing and radiation Laboratory, Faculty of Electronics and Computer Science, USTHB University, Algiers-Algeria. +213 (0) 21 24 79 50, h.belhadj@mailcity.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image processing and radiation Laboratory, Faculty of Electronics and Computer Science, University of Sciences and Technology Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]},{"raw_affiliation_string":"Image processing and radiation Laboratory, Faculty of Electronics and Computer Science, USTHB University, Algiers-Algeria. +213 (0) 21 24 79 50, h.belhadj@mailcity.com","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"6"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.0003000000142492354,"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"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/stroke-lesion-segmentation","display_name":"stroke lesion segmentation","score":0.9010000228881836},{"id":"https://openalex.org/keywords/multimodal-mri","display_name":"multimodal MRI","score":0.8370000123977661},{"id":"https://openalex.org/keywords/markov-random-fields","display_name":"Markov random fields","score":0.8460000157356262},{"id":"https://openalex.org/keywords/mri-segmentation","display_name":"MRI segmentation","score":0.34299999475479126},{"id":"https://openalex.org/keywords/stroke-subtypes","display_name":"stroke subtypes","score":0.9330000281333923},{"id":"https://openalex.org/keywords/functional-deficits","display_name":"functional deficits","score":0.5090000033378601},{"id":"https://openalex.org/keywords/lesion-enhancement","display_name":"lesion enhancement","score":0.4399999976158142}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.721733033657074},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.706169068813324},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6990620493888855},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6642464399337769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6577318906784058},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6277725100517273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6257664561271667},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5339775085449219},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.5323565006256104},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5188116431236267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4482708275318146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44766756892204285},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2705310583114624},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25591546297073364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09781357645988464},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictta.2008.4530104","doi":"https://doi.org/10.1109/ictta.2008.4530104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictta.2008.4530104","pdf_url":null,"source":{"id":"https://openalex.org/S7407087673","display_name":"International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6240000128746033}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324861","display_name":"Universit\u00e9 Joseph Fourier","ror":"https://ror.org/02aj0kh94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W18423312","https://openalex.org/W586885678","https://openalex.org/W1483201357","https://openalex.org/W1508889050","https://openalex.org/W1530245994","https://openalex.org/W1563155211","https://openalex.org/W1966641713","https://openalex.org/W1995642009","https://openalex.org/W2019321224","https://openalex.org/W2024476602","https://openalex.org/W2053173424","https://openalex.org/W2053555512","https://openalex.org/W2071881327","https://openalex.org/W2076364662","https://openalex.org/W2099708759","https://openalex.org/W2124915460","https://openalex.org/W2132358780","https://openalex.org/W2133467637","https://openalex.org/W2156454229","https://openalex.org/W2168399612","https://openalex.org/W2410003013","https://openalex.org/W2801097543","https://openalex.org/W2928618355","https://openalex.org/W4285719527","https://openalex.org/W4299050356","https://openalex.org/W6600745691"],"related_works":["https://openalex.org/W2101921531","https://openalex.org/W7098342510","https://openalex.org/W7096131634","https://openalex.org/W2788781010","https://openalex.org/W2601279384","https://openalex.org/W4401100370","https://openalex.org/W4400640114","https://openalex.org/W4297887920","https://openalex.org/W4405004768","https://openalex.org/W7219737242"],"abstract_inverted_index":{"The":[0,60],"problem":[1],"addressed":[2],"in":[3,30,39,94],"this":[4,44],"paper":[5],"is":[6,26],"the":[7,21,63,95],"automatic":[8],"segmentation":[9,76],"of":[10,37,62,87,97],"stroke":[11,98],"lesions":[12],"on":[13,20,78],"MR":[14,22,57],"multi-sequences.":[15],"Lesions":[16],"enhance":[17],"differently":[18],"depending":[19],"modality":[23],"and":[24,100],"there":[25],"an":[27,85],"obvious":[28],"gain":[29],"trying":[31],"to":[32,91],"account":[33],"for":[34],"various":[35],"sources":[36],"information":[38],"a":[40,48,73],"single":[41],"procedure.":[42],"To":[43],"aim,":[45],"we":[46],"propose":[47],"multimodal":[49,64],"Markov":[50],"random":[51],"field":[52],"model":[53],"which":[54],"includes":[55],"all":[56],"modalities":[58],"simultaneously.":[59],"results":[61],"method":[65],"proposed":[66],"are":[67],"compared":[68],"with":[69,72],"those":[70],"obtained":[71],"mono-":[74],"dimensional":[75],"applied":[77],"each":[79],"MRI":[80],"sequence":[81],"separately.":[82],"We":[83],"constructed":[84],"Atlas":[86],"blood":[88],"supply":[89],"territories":[90],"help":[92],"clinicians":[93],"determination":[96],"subtypes":[99],"potential":[101],"functional":[102],"deficit.":[103]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2016-06-24T00:00:00"}
