{"id":"https://openalex.org/W2570125947","doi":"https://doi.org/10.1109/cist.2016.7804989","title":"Toward an efficient brain tumor extraction using level set method and pennes bioheat equation","display_name":"Toward an efficient brain tumor extraction using level set method and pennes bioheat equation","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2570125947","doi":"https://doi.org/10.1109/cist.2016.7804989","mag":"2570125947"},"language":"en","primary_location":{"id":"doi:10.1109/cist.2016.7804989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist.2016.7804989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","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/A5046591901","display_name":"Abdelmajid Bousselham","orcid":"https://orcid.org/0000-0001-5458-2294"},"institutions":[{"id":"https://openalex.org/I4210121980","display_name":"\u00c9cole Normale Sup\u00e9rieure de l'Enseignement Technique de Mohammedia","ror":"https://ror.org/035pp4j25","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210121980"]},{"id":"https://openalex.org/I4210164065","display_name":"Universit\u00e9 Hassan II Mohammedia","ror":"https://ror.org/058gnfy87","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210164065"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdelmajid Bousselham","raw_affiliation_strings":["ENSET Mohammedia, University Hassan 2, Casablanca, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSET Mohammedia, University Hassan 2, Casablanca, Morocco","institution_ids":["https://openalex.org/I4210121980","https://openalex.org/I4210164065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031916963","display_name":"Omar Bouattane","orcid":"https://orcid.org/0000-0002-1207-2779"},"institutions":[{"id":"https://openalex.org/I4210121980","display_name":"\u00c9cole Normale Sup\u00e9rieure de l'Enseignement Technique de Mohammedia","ror":"https://ror.org/035pp4j25","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210121980"]},{"id":"https://openalex.org/I4210164065","display_name":"Universit\u00e9 Hassan II Mohammedia","ror":"https://ror.org/058gnfy87","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210164065"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Omar Bouattane","raw_affiliation_strings":["ENSET Mohammedia, University Hassan 2, Casablanca, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSET Mohammedia, University Hassan 2, Casablanca, Morocco","institution_ids":["https://openalex.org/I4210121980","https://openalex.org/I4210164065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044834421","display_name":"Mohamed Youssfi","orcid":"https://orcid.org/0000-0003-2842-9880"},"institutions":[{"id":"https://openalex.org/I4210121980","display_name":"\u00c9cole Normale Sup\u00e9rieure de l'Enseignement Technique de Mohammedia","ror":"https://ror.org/035pp4j25","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210121980"]},{"id":"https://openalex.org/I4210164065","display_name":"Universit\u00e9 Hassan II Mohammedia","ror":"https://ror.org/058gnfy87","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210164065"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed Youssfi","raw_affiliation_strings":["ENSET Mohammedia, University Hassan 2, Casablanca, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSET Mohammedia, University Hassan 2, Casablanca, Morocco","institution_ids":["https://openalex.org/I4210121980","https://openalex.org/I4210164065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023479813","display_name":"Abdelhadi Raihani","orcid":"https://orcid.org/0000-0002-6295-274X"},"institutions":[{"id":"https://openalex.org/I4210121980","display_name":"\u00c9cole Normale Sup\u00e9rieure de l'Enseignement Technique de Mohammedia","ror":"https://ror.org/035pp4j25","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210121980"]},{"id":"https://openalex.org/I4210164065","display_name":"Universit\u00e9 Hassan II Mohammedia","ror":"https://ror.org/058gnfy87","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210164065"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdelhadi Raihani","raw_affiliation_strings":["ENSET Mohammedia, University Hassan 2, Casablanca, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSET Mohammedia, University Hassan 2, Casablanca, Morocco","institution_ids":["https://openalex.org/I4210121980","https://openalex.org/I4210164065"]}]}],"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":0.1714905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"56","issue":null,"first_page":"762","last_page":"767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9948999881744385,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bioheat-transfer","display_name":"Bioheat transfer","score":0.6803992986679077},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6012911200523376},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5494170188903809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5486028790473938},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.47054725885391235},{"id":"https://openalex.org/keywords/human-brain","display_name":"Human brain","score":0.46680381894111633},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.461927592754364},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.4468404948711395},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42716124653816223},{"id":"https://openalex.org/keywords/brain-tissue","display_name":"Brain tissue","score":0.41443705558776855},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41241759061813354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34341615438461304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3425455689430237},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.29940199851989746},{"id":"https://openalex.org/keywords/heat-transfer","display_name":"Heat transfer","score":0.25232091546058655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22017589211463928},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21894732117652893},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15297368168830872},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13430297374725342},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.0997043251991272},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09301164746284485},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0911235511302948}],"concepts":[{"id":"https://openalex.org/C186725500","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Bioheat transfer","level":3,"score":0.6803992986679077},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6012911200523376},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5494170188903809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5486028790473938},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.47054725885391235},{"id":"https://openalex.org/C2777670902","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Human brain","level":2,"score":0.46680381894111633},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.461927592754364},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.4468404948711395},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42716124653816223},{"id":"https://openalex.org/C2986936838","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Brain tissue","level":2,"score":0.41443705558776855},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41241759061813354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34341615438461304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3425455689430237},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.29940199851989746},{"id":"https://openalex.org/C50517652","wikidata":"https://www.wikidata.org/wiki/Q179635","display_name":"Heat transfer","level":2,"score":0.25232091546058655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22017589211463928},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21894732117652893},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15297368168830872},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13430297374725342},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.0997043251991272},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09301164746284485},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0911235511302948},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cist.2016.7804989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist.2016.7804989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1480431159","https://openalex.org/W1948181060","https://openalex.org/W1968532418","https://openalex.org/W1991113069","https://openalex.org/W1993404863","https://openalex.org/W2004177655","https://openalex.org/W2026867772","https://openalex.org/W2038218396","https://openalex.org/W2060783238","https://openalex.org/W2079961815","https://openalex.org/W2086921140","https://openalex.org/W2099290282","https://openalex.org/W2104095591","https://openalex.org/W2106160885","https://openalex.org/W2140647383","https://openalex.org/W2149184914","https://openalex.org/W2151050383","https://openalex.org/W2234959369","https://openalex.org/W4239526824","https://openalex.org/W6672274002"],"related_works":["https://openalex.org/W3087056970","https://openalex.org/W2970264894","https://openalex.org/W1969652148","https://openalex.org/W2362044943","https://openalex.org/W4385070308","https://openalex.org/W2023489260","https://openalex.org/W2315672975","https://openalex.org/W4308326813","https://openalex.org/W4386946525","https://openalex.org/W4377969579"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,26,39,47,62,120,153,157],"this":[3,40,124,140],"paper":[4],"is":[5,42,59,90,141],"to":[6,43,77,149],"present":[7],"a":[8],"new":[9],"approach":[10,144],"for":[11,22,50],"improving":[12],"deformable":[13],"models":[14],"and":[15,24,81,104,118,135,155],"especially":[16],"the":[17,37,65,106,116,142,151],"Level":[18,126],"Set":[19,127],"Method":[20,102,128],"(LSM)":[21],"segmentation":[23,154],"extraction":[25,156],"brain":[27,48,66,74,121],"tumors":[28,49,130,158],"in":[29,87,159],"MRI":[30,160],"(Magnetic":[31],"Resonance":[32],"Imaging)":[33],"with":[34,105,123,132],"more":[35,70,133],"accuracy,":[36],"contribution":[38],"work":[41],"exploit":[44],"thermal":[45,147],"behavior":[46],"correcting":[51],"level":[52],"set":[53],"contours.":[54],"Human":[55],"Body":[56],"temperature":[57],"distribution":[58,86],"an":[60],"indicator":[61],"health":[63],"condition,":[64],"tumor":[67],"cells":[68,75],"generate":[69],"heat":[71],"than":[72],"normal":[73],"due":[76],"their":[78,82],"higher":[79],"metabolism":[80],"vascular":[83],"dilation.":[84],"Heat":[85],"human":[88],"body":[89],"modeled":[91],"using":[92,109],"Pennes":[93],"BioHeat":[94],"Transfer":[95],"Equation":[96],"(PBHTE)":[97],"solved":[98],"by":[99],"Finite":[100],"Volume":[101],"(FVM),":[103],"inverse":[107],"analysis":[108,148],"Genetic":[110],"Algorithm":[111],"(GA)":[112],"we":[113],"will":[114],"estimate":[115],"size":[117],"location":[119],"tumor,":[122],"way":[125],"extracts":[129],"contours":[131],"accuracy":[134,152],"efficiency.":[136],"To":[137],"our":[138],"knowledge,":[139],"first":[143],"which":[145],"introduces":[146],"improve":[150],"images.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}