{"id":"https://openalex.org/W2295507383","doi":"https://doi.org/10.1007/978-3-319-24947-6_32","title":"Fast Brain MRI Registration with Automatic Landmark Detection Using a Single Template Image","display_name":"Fast Brain MRI Registration with Automatic Landmark Detection Using a Single Template Image","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2295507383","doi":"https://doi.org/10.1007/978-3-319-24947-6_32","mag":"2295507383"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-24947-6_32","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-24947-6_32","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026178994","display_name":"Olga Senyukova","orcid":"https://orcid.org/0000-0001-5580-5234"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Olga V. Senyukova","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russian Federation","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012594708","display_name":"Denis S. Zobnin","orcid":null},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Denis S. Zobnin","raw_affiliation_strings":["Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russian Federation","institution_ids":["https://openalex.org/I19880235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026178994"],"corresponding_institution_ids":["https://openalex.org/I19880235"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.4056,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70300921,"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":"390","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944000244140625,"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/landmark","display_name":"Landmark","score":0.8982692956924438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8458417654037476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8162046074867249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7069429755210876},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6015596985816956},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.5882216691970825},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.567583441734314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5402450561523438},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47537580132484436},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45920851826667786},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.39129215478897095},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3370034396648407},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3158072829246521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07556423544883728}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8982692956924438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8458417654037476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8162046074867249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7069429755210876},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6015596985816956},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.5882216691970825},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.567583441734314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5402450561523438},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47537580132484436},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45920851826667786},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.39129215478897095},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3370034396648407},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3158072829246521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07556423544883728},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-24947-6_32","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-24947-6_32","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_32","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4300000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W276948811","https://openalex.org/W1597458585","https://openalex.org/W1802125594","https://openalex.org/W1970928383","https://openalex.org/W1998070036","https://openalex.org/W2002433913","https://openalex.org/W2006096283","https://openalex.org/W2014871465","https://openalex.org/W2035419215","https://openalex.org/W2045640483","https://openalex.org/W2102099319","https://openalex.org/W2119605622","https://openalex.org/W2125113735","https://openalex.org/W2144129994","https://openalex.org/W2144502914","https://openalex.org/W2145023731","https://openalex.org/W2150134853","https://openalex.org/W2151103935","https://openalex.org/W2156875677","https://openalex.org/W2280332152"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W2036421992","https://openalex.org/W3093839383","https://openalex.org/W2387510934","https://openalex.org/W2015446345"],"abstract_inverted_index":{"Automatic":[0],"registration":[1,47,110],"of":[2,23,33,36,53,58,76,79,115,128],"brain":[3],"MR":[4],"images":[5,25],"is":[6,26,96,157],"still":[7],"a":[8],"challenging":[9],"problem.":[10],"We":[11,44],"have":[12],"chosen":[13],"an":[14],"approach":[15],"based":[16],"on":[17,140],"landmarks":[18,37,54],"matching.":[19],"However,":[20],"manual":[21],"landmarking":[22],"the":[24,46,56,85,107,113,133,136,141,153,160,166],"cumbersome.":[27],"Existing":[28],"algorithms":[29],"for":[30,98],"automatic":[31,51],"identification":[32],"pre-defined":[34],"set":[35],"usually":[38],"require":[39],"manually":[40,61],"landmarked":[41,62],"training":[42],"bases.":[43],"propose":[45],"algorithm":[48,103,111,119,168],"that":[49,82],"involves":[50],"detection":[52],"with":[55,106],"use":[57,114],"only":[59],"one":[60],"template":[63],"image.":[64],"Landmarks":[65],"are":[66],"detected":[67],"using":[68],"Canny":[69],"edge":[70],"detector":[71],"and":[72,90,123,150,159],"point":[73],"descriptors.":[74],"Evaluation":[75],"four":[77],"types":[78],"descriptors":[80],"showed":[81,120],"SURF":[83],"provides":[84],"best":[86,108],"trade-off":[87],"between":[88],"speed":[89],"accuracy.":[91],"Thin":[92],"plate":[93],"spline":[94],"transformation":[95],"used":[97],"landmark-based":[99],"registration.":[100],"The":[101],"proposed":[102],"was":[104],"compared":[105],"existing":[109],"without":[112],"local":[116],"features.":[117],"Our":[118],"significant":[121],"speed-up":[122],"better":[124],"accuracy":[125],"in":[126],"matching":[127],"anatomical":[129],"structures":[130],"surrounded":[131],"by":[132,148,152],"landmarks.":[134],"All":[135],"experiments":[137],"were":[138,146],"performed":[139],"IBSR":[142],"database.":[143],"These":[144],"keywords":[145,161],"added":[147],"machine":[149],"not":[151],"authors.":[154],"This":[155],"process":[156],"experimental":[158],"may":[162],"be":[163],"updated":[164],"as":[165],"learning":[167],"improves.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}