{"id":"https://openalex.org/W2049822347","doi":"https://doi.org/10.1109/cbms.2012.6266304","title":"A novel Bayesian approach to adaptive mean shift segmentation of brain images","display_name":"A novel Bayesian approach to adaptive mean shift segmentation of brain images","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2049822347","doi":"https://doi.org/10.1109/cbms.2012.6266304","mag":"2049822347"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2012.6266304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2012.6266304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publications.lib.chalmers.se/records/fulltext/165239/local_165239.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040044817","display_name":"Qaiser Mahmood","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Qaiser Mahmood","raw_affiliation_strings":["Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden","[Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden]"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048914498","display_name":"Artur Chodorowski","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Artur Chodorowski","raw_affiliation_strings":["Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden","[Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden]"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091414196","display_name":"Andrew Mehnert","orcid":"https://orcid.org/0000-0001-8076-7532"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andrew Mehnert","raw_affiliation_strings":["Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden","[Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden]"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052102547","display_name":"Mikael Persson","orcid":"https://orcid.org/0000-0002-1335-2377"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Persson","raw_affiliation_strings":["Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden","[Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden]"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040044817"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":2.5063,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90474385,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"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":0.9988999962806702,"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":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9930999875068665,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/segmentation","display_name":"Segmentation","score":0.7382179498672485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.682357132434845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6476717591285706},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5952444076538086},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5869626998901367},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5737316012382507},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5307856798171997},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.4881199300289154},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4255194365978241},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4170714020729065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3687339723110199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2133491337299347},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14196330308914185}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7382179498672485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682357132434845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6476717591285706},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5952444076538086},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5869626998901367},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5737316012382507},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5307856798171997},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.4881199300289154},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4255194365978241},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4170714020729065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3687339723110199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2133491337299347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14196330308914185},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cbms.2012.6266304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2012.6266304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:165239","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/165239","pdf_url":"http://publications.lib.chalmers.se/records/fulltext/165239/local_165239.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.atira.dk:publications/8b557cb4-8541-4608-9857-b764dd7f946c","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/8b557cb4-8541-4608-9857-b764dd7f946c","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mahmood, Q, Chodorowski, A, Mehnert, A & Persson, M 2012, A novel Bayesian approach to adaptive mean shift segmentation of brain images. in Proceeds of CBMS 2012 The 25th IEEE International Symposium on Computer-Based Medical Systems. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Italy, pp. 1-6, A novel Bayesian approach to adaptive mean shift segmentation of brain images, 1/01/12. https://doi.org/10.1109/CBMS.2012.6266304","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:research.chalmers.se:165239","is_oa":true,"landing_page_url":"https://research.chalmers.se/en/publication/165239","pdf_url":"http://publications.lib.chalmers.se/records/fulltext/165239/local_165239.pdf","source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2049822347.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2024668293","https://openalex.org/W2067191022","https://openalex.org/W2071881327","https://openalex.org/W2098692008","https://openalex.org/W2108447811","https://openalex.org/W2117658559","https://openalex.org/W2119737461","https://openalex.org/W2130686832","https://openalex.org/W2132001627","https://openalex.org/W2135365788","https://openalex.org/W2139362127","https://openalex.org/W2149107824","https://openalex.org/W2150606601","https://openalex.org/W2164500538"],"related_works":["https://openalex.org/W2370307590","https://openalex.org/W2365032270","https://openalex.org/W2185902295","https://openalex.org/W2545971808","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2142709933","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2376628591"],"abstract_inverted_index":{"We":[0,43],"present":[1],"a":[2,24],"novel":[3,25],"adaptive":[4,33],"mean":[5],"shift":[6],"(AMS)":[7],"algorithm":[8,89,110],"for":[9,28],"the":[10,29,32,45,50,88,105,108,120],"segmentation":[11,41,64],"of":[12,31,87,107],"tissues":[13,52],"in":[14],"magnetic":[15],"resonance":[16],"(MR)":[17],"brain":[18,51],"images.":[19],"In":[20],"particular":[21],"we":[22],"introduce":[23],"Bayesian":[26],"approach":[27],"estimation":[30],"kernel":[34],"bandwidth":[35],"and":[36,60,72,82,99,111,122],"investigate":[37],"its":[38],"impact":[39],"on":[40,68],"accuracy.":[42],"studied":[44],"three":[46],"class":[47],"problem":[48],"where":[49],"are":[53,126],"segmented":[54],"into":[55],"white":[56],"matter,":[57],"gray":[58],"matter":[59],"cerebrospinal":[61],"fluid.":[62],"The":[63,85],"experiments":[65],"were":[66],"performed":[67],"both":[69],"multi-modal":[70],"simulated":[71],"real":[73,98],"patient":[74],"TI-weighted":[75],"MR":[76],"volumes":[77],"with":[78],"different":[79],"noise":[80,121],"characteristics":[81],"spatial":[83,123],"inhomogeneities.":[84],"performance":[86],"was":[90],"evaluated":[91],"relative":[92],"to":[93],"several":[94],"competing":[95,116],"methods":[96],"using":[97],"synthetic":[100],"data.":[101],"Our":[102],"results":[103],"demonstrate":[104],"efficacy":[106],"proposed":[109],"that":[112],"it":[113],"can":[114],"outperform":[115],"methods,":[117],"especially":[118],"when":[119],"intensity":[124],"inhomogeneities":[125],"high.":[127]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}