{"id":"https://openalex.org/W2029820747","doi":"https://doi.org/10.1109/icip.2011.6116212","title":"Automatic subcortical tissue segmentation of MR images using optimum-path forest clustering","display_name":"Automatic subcortical tissue segmentation of MR images using optimum-path forest clustering","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2029820747","doi":"https://doi.org/10.1109/icip.2011.6116212","mag":"2029820747"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5051958513","display_name":"F\u00e1bio A. M. Cappabianco","orcid":"https://orcid.org/0000-0002-2139-7938"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Fabio Cappabianco","raw_affiliation_strings":["Department Ci\u00eancia e Tecnologia, Universidade Federal de Sa\u00e3 Paulo, Sao Jose dos Campos, Sao Paulo, Brazil","Universidade Federal de Sao Paulo, Dept. Ciencia e Tecnologia, S. J. dos Campos, SP, 12231 - Brazil"],"affiliations":[{"raw_affiliation_string":"Department Ci\u00eancia e Tecnologia, Universidade Federal de Sa\u00e3 Paulo, Sao Jose dos Campos, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I88273585"]},{"raw_affiliation_string":"Universidade Federal de Sao Paulo, Dept. Ciencia e Tecnologia, S. J. dos Campos, SP, 12231 - Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021695968","display_name":"Jaime S. Ide","orcid":"https://orcid.org/0000-0002-7223-1102"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jaime S. Ide","raw_affiliation_strings":["Department Ci\u00eancia e Tecnologia, Universidade Federal de Sa\u00e3 Paulo, Sao Jose dos Campos, Sao Paulo, Brazil","Universidade Federal de Sao Paulo, Dept. Ciencia e Tecnologia, S. J. dos Campos, SP, 12231 - Brazil"],"affiliations":[{"raw_affiliation_string":"Department Ci\u00eancia e Tecnologia, Universidade Federal de Sa\u00e3 Paulo, Sao Jose dos Campos, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I88273585"]},{"raw_affiliation_string":"Universidade Federal de Sao Paulo, Dept. Ciencia e Tecnologia, S. J. dos Campos, SP, 12231 - Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015267493","display_name":"Alexandre X. Falc\u00e3o","orcid":"https://orcid.org/0000-0002-2914-5380"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre Falcao","raw_affiliation_strings":["Institute of Computing, State University of Campinas-UNICAMP, Campinas, Sao Paulo, Brazil","University of Campinas, Institute of Computing, Campinas, SP, 13083 - Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, State University of Campinas-UNICAMP, Campinas, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"University of Campinas, Institute of Computing, Campinas, SP, 13083 - Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054640156","display_name":"Chiang\u2010Shan R. Li","orcid":"https://orcid.org/0000-0002-9393-1212"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chiang-shan R. Li","raw_affiliation_strings":["School of Medicine, Department of Psychiatry, Yale University, New Heaven, CT, USA","Yale University School of Medicine, Department of Psychiatry, New Haven, CT 06519, USA"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Department of Psychiatry, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Yale University School of Medicine, Department of Psychiatry, New Haven, CT 06519, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051958513"],"corresponding_institution_ids":["https://openalex.org/I88273585"],"apc_list":null,"apc_paid":null,"fwci":0.2576,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56544271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2653","last_page":"2656"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9836000204086304,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/voxel","display_name":"Voxel","score":0.825607180595398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7528963088989258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6911165714263916},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6592897176742554},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6506990194320679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6333540081977844},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5078015923500061},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4724940359592438},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.4670400023460388},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42773330211639404},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4117339253425598},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.28407418727874756},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.16145741939544678},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14405250549316406},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08690440654754639},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08347523212432861}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.825607180595398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7528963088989258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6911165714263916},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6592897176742554},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6506990194320679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6333540081977844},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5078015923500061},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4724940359592438},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.4670400023460388},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42773330211639404},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4117339253425598},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.28407418727874756},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.16145741939544678},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14405250549316406},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08690440654754639},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08347523212432861},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2011.6116212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio.unifesp.br:11600/41931","is_oa":false,"landing_page_url":"http://repositorio.unifesp.br/11600/41931","pdf_url":null,"source":{"id":"https://openalex.org/S4377196380","display_name":"UNIFESP Institutional Repository (Universidade Federal de S\u00e3o Paulo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88273585","host_organization_name":"Universidade Federal de S\u00e3o Paulo","host_organization_lineage":["https://openalex.org/I88273585"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Trabalho apresentado em evento"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1498009869","https://openalex.org/W1800027709","https://openalex.org/W1971428547","https://openalex.org/W2026440275","https://openalex.org/W2032152886","https://openalex.org/W2047822984","https://openalex.org/W2053494049","https://openalex.org/W2053783338","https://openalex.org/W2065597731","https://openalex.org/W2115284428","https://openalex.org/W2119848633","https://openalex.org/W2136573752","https://openalex.org/W2149270325","https://openalex.org/W2155298532","https://openalex.org/W2156639319","https://openalex.org/W4236608713","https://openalex.org/W4250320908","https://openalex.org/W6683035066"],"related_works":["https://openalex.org/W2062965168","https://openalex.org/W2157348843","https://openalex.org/W2382738934","https://openalex.org/W4281943322","https://openalex.org/W2394279717","https://openalex.org/W2904485911","https://openalex.org/W1972171786","https://openalex.org/W2364503923","https://openalex.org/W2992988357","https://openalex.org/W2551987074"],"abstract_inverted_index":{"Automatic":[0],"MR-image":[1],"segmentation":[2,37],"of":[3,20,46,123],"brain":[4],"tissues":[5],"is":[6,15,49,118],"an":[7],"important":[8],"issue":[9],"in":[10,39,71,96,120,133],"neuroimaging.":[11],"For":[12],"instance,":[13],"it":[14],"a":[16,21,57,61],"key":[17],"methodological":[18],"component":[19],"popular":[22],"technique":[23],"denominated":[24],"voxel-based":[25],"morphometry":[26],"(VBM),":[27],"which":[28],"quantifies":[29],"gray-matter":[30],"(GM)":[31],"volumes":[32],"from":[33,84],"MR":[34],"images.":[35],"However,":[36],"accuracy":[38],"some":[40],"subcortical":[41],"regions":[42],"on":[43,66],"the":[44,85,101,106,121,124],"basis":[45],"extant":[47],"methods":[48,131],"not":[50],"satisfactory,":[51],"compromising":[52],"VBM":[53],"results.":[54],"We":[55],"combine":[56],"probabilistic":[58],"atlas":[59,86],"and":[60,81,92,99,126,135],"fast":[62],"clustering":[63],"approach":[64],"based":[65],"optimum":[67],"connectivity":[68],"between":[69],"voxels":[70,95],"their":[72],"feature":[73],"space.":[74],"The":[75],"algorithm":[76],"exploits":[77],"local":[78],"image":[79],"properties":[80],"global":[82],"information":[83],"as":[87,111],"features":[88],"to":[89,108],"group":[90],"GM":[91,112],"white-matter":[93],"(WM)":[94],"distinct":[97],"clusters,":[98],"uses":[100],"total":[102],"probability":[103],"values":[104],"inside":[105],"clusters":[107],"label":[109],"them":[110],"or":[113],"WM.":[114],"This":[115],"new":[116],"method":[117],"validated":[119],"region":[122],"thalamus":[125],"outperformed":[127],"two":[128],"widely":[129],"used":[130],"packaged":[132],"SPM":[134],"FSL.":[136]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}