{"id":"https://openalex.org/W2150302300","doi":"https://doi.org/10.1109/icpr.2002.1044783","title":"Brain symmetry plane computation in MR images using inertia axes and optimization","display_name":"Brain symmetry plane computation in MR images using inertia axes and optimization","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2150302300","doi":"https://doi.org/10.1109/icpr.2002.1044783","mag":"2150302300"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},"type":"preprint","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/A5004434095","display_name":"Alexander V. Tuzikov","orcid":"https://orcid.org/0000-0001-5970-4852"},"institutions":[{"id":"https://openalex.org/I4210105192","display_name":"United Institute of Informatics Problems","ror":"https://ror.org/01ccbsb07","country_code":"BY","type":"facility","lineage":["https://openalex.org/I151823869","https://openalex.org/I4210105192","https://openalex.org/I4210116091"]}],"countries":["BY"],"is_corresponding":true,"raw_author_name":"A.V. Tuzikov","raw_affiliation_strings":["Institute of Engineering Cybernetics, National Academy of Science of Belarus, Minsk, Belarus","Institute of Engineering Cybernetic (Minsk - Belarus)"],"affiliations":[{"raw_affiliation_string":"Institute of Engineering Cybernetics, National Academy of Science of Belarus, Minsk, Belarus","institution_ids":["https://openalex.org/I4210105192"]},{"raw_affiliation_string":"Institute of Engineering Cybernetic (Minsk - Belarus)","institution_ids":["https://openalex.org/I4210105192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005778444","display_name":"Olivier Colliot","orcid":"https://orcid.org/0000-0002-9836-654X"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"O. Colliot","raw_affiliation_strings":["D\u00e9partement TSI, CNRS URA, Ecole Nationale Sup\u00e9rieure des T\u00e9I\u00e9communications, Paris, France","ENST - Ecole Nationale Sup\u00e9rieure des T\u00e9l\u00e9communications (46 rue Barrault 75634 Paris Cedex 13 - France)"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement TSI, CNRS URA, Ecole Nationale Sup\u00e9rieure des T\u00e9I\u00e9communications, Paris, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ENST - Ecole Nationale Sup\u00e9rieure des T\u00e9l\u00e9communications (46 rue Barrault 75634 Paris Cedex 13 - France)","institution_ids":["https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088407901","display_name":"Isabelle Bloch","orcid":"https://orcid.org/0000-0002-6984-1532"},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"I. Bloch","raw_affiliation_strings":["D\u00e9partement TSI, CNRS URA, Ecole Nationale Sup\u00e9rieure des T\u00e9I\u00e9communications, Paris, France","LTCI - Laboratoire Traitement et Communication de l'Information (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 PALAISEAU - France)"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement TSI, CNRS URA, Ecole Nationale Sup\u00e9rieure des T\u00e9I\u00e9communications, Paris, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LTCI - Laboratoire Traitement et Communication de l'Information (T\u00e9l\u00e9com Paris 19 Place Marguerite Perey 91120 PALAISEAU - France)","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004434095"],"corresponding_institution_ids":["https://openalex.org/I4210105192"],"apc_list":null,"apc_paid":null,"fwci":1.8921,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.87075911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"516","last_page":"519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.996399998664856,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9923999905586243,"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/reflection-symmetry","display_name":"Reflection symmetry","score":0.8269228935241699},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7411686182022095},{"id":"https://openalex.org/keywords/plane-symmetry","display_name":"Plane symmetry","score":0.6978721618652344},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6210620403289795},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.6166249513626099},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.578656792640686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5763810873031616},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5592253804206848},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.547646701335907},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5384488105773926},{"id":"https://openalex.org/keywords/principal-axis-theorem","display_name":"Principal axis theorem","score":0.5113927721977234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5006909370422363},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.48420122265815735},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4655708968639374},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.4264865219593048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4205487072467804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41024717688560486},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3955787420272827},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.33193427324295044},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2845746576786041},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24711060523986816}],"concepts":[{"id":"https://openalex.org/C133978748","wikidata":"https://www.wikidata.org/wiki/Q15955882","display_name":"Reflection symmetry","level":2,"score":0.8269228935241699},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7411686182022095},{"id":"https://openalex.org/C40425006","wikidata":"https://www.wikidata.org/wiki/Q7201020","display_name":"Plane symmetry","level":2,"score":0.6978721618652344},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6210620403289795},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.6166249513626099},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.578656792640686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763810873031616},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5592253804206848},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.547646701335907},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5384488105773926},{"id":"https://openalex.org/C161326058","wikidata":"https://www.wikidata.org/wiki/Q7245073","display_name":"Principal axis theorem","level":2,"score":0.5113927721977234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5006909370422363},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.48420122265815735},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4655708968639374},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.4264865219593048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4205487072467804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41024717688560486},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3955787420272827},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.33193427324295044},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2845746576786041},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24711060523986816},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1044783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01930349v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01930349","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"16th International Conference on Pattern Recognition, Aug 2002, Qu\u00e9bec, Canada. &#x27E8;10.1109/ICPR.2002.1044783&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W159804181","https://openalex.org/W1983428447","https://openalex.org/W2002134117","https://openalex.org/W2021062662","https://openalex.org/W2090238112","https://openalex.org/W2094954828","https://openalex.org/W2098979973","https://openalex.org/W2099801199","https://openalex.org/W2100605312","https://openalex.org/W2129357024","https://openalex.org/W2133584444","https://openalex.org/W2140804420","https://openalex.org/W2141116771","https://openalex.org/W2141299360","https://openalex.org/W2147824893","https://openalex.org/W2148032613","https://openalex.org/W2170120409","https://openalex.org/W2171314435","https://openalex.org/W3038698521","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4386771964","https://openalex.org/W1981018792","https://openalex.org/W3021677756","https://openalex.org/W2150302300","https://openalex.org/W1591134117","https://openalex.org/W2971970165","https://openalex.org/W3094492322","https://openalex.org/W2049688763","https://openalex.org/W2130882452","https://openalex.org/W1965277829"],"abstract_inverted_index":{"Detection":[0],"of":[1,31,37,63,75,98,113],"the":[2,17,20,43,49,64,76,91,96,99,103,111,114],"best":[3,65,115],"symmetry":[4,66,116],"plane":[5,77],"in":[6,27,95],"3D":[7,29],"images":[8,56,89],"can":[9],"be":[10],"treated":[11],"as":[12,48],"a":[13,28,38],"registration":[14,24],"problem":[15],"between":[16,52],"original":[18,53],"and":[19,35,54,57,125],"reflected":[21,55],"images.":[22,129],"The":[23,68,118],"is":[25,94,107],"performed":[26],"space":[30],"parameters":[32],"defining":[33],"orientation":[34],"shift":[36],"reflection":[39],"plane.":[40,67,117],"We":[41,83],"use":[42],"normalized":[44],"l/sub":[45],"2/":[46],"metric":[47],"similarity":[50],"measure":[51],"investigate":[58],"an":[59,72],"algorithm":[60,69,120],"for":[61,110],"computation":[62,112],"computes":[70],"first":[71],"initial":[73,92],"position":[74,93],"by":[78],"analyzing":[79],"principal":[80],"inertia":[81],"axes.":[82],"demonstrate":[84],"on":[85,123],"several":[86],"MR":[87,127],"brain":[88,128],"that":[90],"neighborhood":[97],"global":[100],"maximum.":[101],"Therefore":[102],"downhill":[104],"simplex":[105],"method":[106],"further":[108],"used":[109],"proposed":[119],"was":[121],"tested":[122],"simulated":[124],"real":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
