{"id":"https://openalex.org/W2441839872","doi":"https://doi.org/10.1109/isbi.2016.7493252","title":"On the handling of brain tissue anisotropy in the forward EEG problem with a conformingly discretized surface integral method","display_name":"On the handling of brain tissue anisotropy in the forward EEG problem with a conformingly discretized surface integral method","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2441839872","doi":"https://doi.org/10.1109/isbi.2016.7493252","mag":"2441839872"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","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/A5033597042","display_name":"Axelle Pillain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139374","display_name":"Satimo (France)","ror":"https://ror.org/03ex1m609","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210139374"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Axelle Pillain","raw_affiliation_strings":["T\u00e9l\u00e9com Bretagne, Computational Electromagnetics Research Laboratory, Brest, France","Lab-STICC_TB_MOM_PIM (France)","MO - D\u00e9partement Micro-Ondes (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)"],"affiliations":[{"raw_affiliation_string":"T\u00e9l\u00e9com Bretagne, Computational Electromagnetics Research Laboratory, Brest, France","institution_ids":[]},{"raw_affiliation_string":"Lab-STICC_TB_MOM_PIM (France)","institution_ids":["https://openalex.org/I161929037"]},{"raw_affiliation_string":"MO - D\u00e9partement Micro-Ondes (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)","institution_ids":["https://openalex.org/I4210139374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056348184","display_name":"Lyes Rahmouni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139374","display_name":"Satimo (France)","ror":"https://ror.org/03ex1m609","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210139374"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lyes Rahmouni","raw_affiliation_strings":["T\u00e9l\u00e9com Bretagne, Computational Electromagnetics Research Laboratory, Brest, France","MO - D\u00e9partement Micro-Ondes (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)","Lab-STICC_TB_MOM_PIM (France)"],"affiliations":[{"raw_affiliation_string":"T\u00e9l\u00e9com Bretagne, Computational Electromagnetics Research Laboratory, Brest, France","institution_ids":[]},{"raw_affiliation_string":"MO - D\u00e9partement Micro-Ondes (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)","institution_ids":["https://openalex.org/I4210139374"]},{"raw_affiliation_string":"Lab-STICC_TB_MOM_PIM (France)","institution_ids":["https://openalex.org/I161929037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002273642","display_name":"Francesco P. Andriulli","orcid":"https://orcid.org/0000-0001-8359-7348"},"institutions":[{"id":"https://openalex.org/I4210139374","display_name":"Satimo (France)","ror":"https://ror.org/03ex1m609","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210139374"]},{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francesco P. Andriulli","raw_affiliation_strings":["T\u00e9l\u00e9com Bretagne, Computational Electromagnetics Research Laboratory, Brest, France","Lab-STICC_TB_MOM_PIM (France)","MO - D\u00e9partement Micro-Ondes (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)"],"affiliations":[{"raw_affiliation_string":"T\u00e9l\u00e9com Bretagne, Computational Electromagnetics Research Laboratory, Brest, France","institution_ids":[]},{"raw_affiliation_string":"Lab-STICC_TB_MOM_PIM (France)","institution_ids":["https://openalex.org/I161929037"]},{"raw_affiliation_string":"MO - D\u00e9partement Micro-Ondes (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)","institution_ids":["https://openalex.org/I4210139374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033597042"],"corresponding_institution_ids":["https://openalex.org/I161929037","https://openalex.org/I4210139374"],"apc_list":null,"apc_paid":null,"fwci":0.5398,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66134944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/T10739","display_name":"Electromagnetic Scattering and Analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.883922815322876},{"id":"https://openalex.org/keywords/integral-equation","display_name":"Integral equation","score":0.7286533117294312},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.7240009903907776},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.6358550786972046},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.5128555297851562},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.503872811794281},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.48100194334983826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4255865812301636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38174861669540405},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3422943353652954},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33313894271850586},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.25358274579048157},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18873614072799683},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11097830533981323},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1058809757232666}],"concepts":[{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.883922815322876},{"id":"https://openalex.org/C27016315","wikidata":"https://www.wikidata.org/wiki/Q580101","display_name":"Integral equation","level":2,"score":0.7286533117294312},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.7240009903907776},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.6358550786972046},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.5128555297851562},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.503872811794281},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.48100194334983826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4255865812301636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38174861669540405},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3422943353652954},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33313894271850586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25358274579048157},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18873614072799683},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11097830533981323},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1058809757232666}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2016.7493252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01387250v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01387250","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 2016 : IEEE 13th International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic. pp.233 - 236, &#x27E8;10.1109/ISBI.2016.7493252&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:porto.polito.it:2679049","is_oa":false,"landing_page_url":"http://porto.polito.it/2679049/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402038","display_name":"PORTO Publications Open Repository TOrino (Politecnico di Torino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177477856","host_organization_name":"Politecnico di Torino","host_organization_lineage":["https://openalex.org/I177477856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W8052360","https://openalex.org/W1608280572","https://openalex.org/W1650692308","https://openalex.org/W1680137270","https://openalex.org/W1973254888","https://openalex.org/W1977860070","https://openalex.org/W1987333243","https://openalex.org/W2027568813","https://openalex.org/W2062890119","https://openalex.org/W2064620657","https://openalex.org/W2066884014","https://openalex.org/W2089722842","https://openalex.org/W2091941634","https://openalex.org/W2107348639","https://openalex.org/W2129639007","https://openalex.org/W2130863149","https://openalex.org/W2137146483","https://openalex.org/W2150469050","https://openalex.org/W2166073443","https://openalex.org/W4250543537","https://openalex.org/W4292079583","https://openalex.org/W6636448959","https://openalex.org/W6684534354"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W2334479858","https://openalex.org/W2799209613","https://openalex.org/W2793786119","https://openalex.org/W1507702947"],"abstract_inverted_index":{"This":[0,98],"work":[1],"presents":[2],"a":[3,40,78,101,119],"mixed":[4,79],"discretized":[5,75],"integral":[6,48,95],"formulation":[7],"for":[8,32,39],"the":[9,23,72,90,105,115,125,128,132],"EEG":[10],"forward":[11],"problem":[12],"that":[13,64,83],"can":[14],"handle":[15],"piecewise":[16],"homogeneous":[17],"anisotropic":[18,26],"conductivities.":[19],"Given":[20],"that,":[21],"in":[22,100],"presence":[24],"of":[25,93,104,127],"conductivity":[27],"profiles,":[28],"an":[29,60],"harmonic":[30,38],"function":[31],"one":[33],"profile":[34],"is":[35,74,84],"not":[36],"necessarily":[37],"different":[41],"profile,":[42],"standard":[43],"methods":[44],"to":[45,66,87,113,134],"obtain":[46],"surface":[47],"equations":[49],"cannot":[50],"be":[51],"used.":[52],"For":[53],"this":[54,68],"reason,":[55],"we":[56],"have":[57],"adopted":[58],"here":[59],"indirect":[61],"method":[62],"strategy":[63],"allows":[65],"overcome":[67],"issue.":[69],"In":[70],"addition,":[71],"equation":[73],"by":[76,89],"using":[77],"and":[80,130],"conforming":[81],"approach":[82,129],"specifically":[85],"designed":[86],"abide":[88],"mapping":[91],"properties":[92],"all":[94],"operators":[96],"involved.":[97],"results":[99,123],"further":[102],"enhancement":[103],"accuracy,":[106],"especially":[107],"when":[108],"dipolar":[109],"sources":[110],"are":[111],"used":[112],"model":[114],"brain":[116],"activity":[117],"near":[118],"layer":[120],"boundary.":[121],"Numerical":[122],"confirms":[124],"accuracy":[126],"shows":[131],"applicability":[133],"real":[135],"case":[136],"scenario.":[137]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
