{"id":"https://openalex.org/W2122619870","doi":"https://doi.org/10.1109/sibgra.2003.1241030","title":"Sulcal lines extraction for cortex characterization in cerebral MR images using the image foresting transform","display_name":"Sulcal lines extraction for cortex characterization in cerebral MR images using the image foresting transform","publication_year":2004,"publication_date":"2004-03-02","ids":{"openalex":"https://openalex.org/W2122619870","doi":"https://doi.org/10.1109/sibgra.2003.1241030","mag":"2122619870"},"language":"en","primary_location":{"id":"doi:10.1109/sibgra.2003.1241030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgra.2003.1241030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003)","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/A5036022119","display_name":"Gabriela Castellano","orcid":"https://orcid.org/0000-0002-5927-487X"},"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":true,"raw_author_name":"G. Castellano","raw_affiliation_strings":["Dept. de Computa\u00e7\u00e3o e Automa\u00e7\u00e3o Fac. de Eng. El\u00e9trica e Computa\u00e7\u00e3o, UNICAMP, Campinas, SP, Brasil"],"affiliations":[{"raw_affiliation_string":"Dept. de Computa\u00e7\u00e3o e Automa\u00e7\u00e3o Fac. de Eng. El\u00e9trica e Computa\u00e7\u00e3o, UNICAMP, Campinas, SP, Brasil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087970571","display_name":"Roberto Lotufo","orcid":"https://orcid.org/0000-0002-5652-0852"},"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":"R.A. Lotufo","raw_affiliation_strings":["Dept. de Computa\u00e7\u00e3o e Automa\u00e7\u00e3o Fac. de Eng. El\u00e9trica e Computa\u00e7\u00e3o, UNICAMP, Campinas, SP, Brasil"],"affiliations":[{"raw_affiliation_string":"Dept. de Computa\u00e7\u00e3o e Automa\u00e7\u00e3o Fac. de Eng. El\u00e9trica e Computa\u00e7\u00e3o, UNICAMP, Campinas, SP, Brasil","institution_ids":["https://openalex.org/I181391015"]}]},{"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":"A.X. Falcao","raw_affiliation_strings":["Inst. de Computa\u00e7\u00e3o, UNICAMP, Campinas, SP, Brasil"],"affiliations":[{"raw_affiliation_string":"Inst. de Computa\u00e7\u00e3o, UNICAMP, Campinas, SP, Brasil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044809264","display_name":"Fernando Cendes","orcid":"https://orcid.org/0000-0001-9336-9568"},"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"]},{"id":"https://openalex.org/I4210148978","display_name":"Hospital de Cl\u00ednicas da Unicamp","ror":"https://ror.org/05g89bp20","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I4210148978"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F. Cendes","raw_affiliation_strings":["Lab. de NeuroImagem, Hospital das Cl\u00ednicas, UNICAMP, Campinas, SP, Brasil"],"affiliations":[{"raw_affiliation_string":"Lab. de NeuroImagem, Hospital das Cl\u00ednicas, UNICAMP, Campinas, SP, Brasil","institution_ids":["https://openalex.org/I4210148978","https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036022119"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":0.2733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6141116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"355","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996999979019165,"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":0.996999979019165,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9883000254631042,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9628000259399414,"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/thickening","display_name":"Thickening","score":0.6909359693527222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6203175187110901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6032370328903198},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5829965472221375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5173822641372681},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5163544416427612},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5078714489936829},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.49601873755455017},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4408169090747833},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4340013861656189},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13167157769203186},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0921916663646698},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08509960770606995}],"concepts":[{"id":"https://openalex.org/C2779559920","wikidata":"https://www.wikidata.org/wiki/Q911138","display_name":"Thickening","level":2,"score":0.6909359693527222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6203175187110901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6032370328903198},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5829965472221375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5173822641372681},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5163544416427612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5078714489936829},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.49601873755455017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4408169090747833},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4340013861656189},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13167157769203186},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0921916663646698},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08509960770606995},{"id":"https://openalex.org/C528095902","wikidata":"https://www.wikidata.org/wiki/Q2283886","display_name":"Pulp and paper industry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgra.2003.1241030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgra.2003.1241030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6899999976158142,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W151895561","https://openalex.org/W1484040084","https://openalex.org/W1599786999","https://openalex.org/W1652775531","https://openalex.org/W1866589047","https://openalex.org/W1953868504","https://openalex.org/W1975171135","https://openalex.org/W1991258631","https://openalex.org/W1995622889","https://openalex.org/W2033688177","https://openalex.org/W2034915831","https://openalex.org/W2043637488","https://openalex.org/W2044069866","https://openalex.org/W2053895472","https://openalex.org/W2055199022","https://openalex.org/W2058298508","https://openalex.org/W2061864545","https://openalex.org/W2079810663","https://openalex.org/W2097109632","https://openalex.org/W2100115174","https://openalex.org/W2113319997","https://openalex.org/W2115284428","https://openalex.org/W2130538955","https://openalex.org/W2137447348","https://openalex.org/W2138172804","https://openalex.org/W2145674057","https://openalex.org/W2151721316","https://openalex.org/W2154560242","https://openalex.org/W2155444089","https://openalex.org/W2156768950","https://openalex.org/W2157840858","https://openalex.org/W2159619845","https://openalex.org/W2167867293","https://openalex.org/W2282030987","https://openalex.org/W4212783130","https://openalex.org/W4285719527","https://openalex.org/W4300303686","https://openalex.org/W6606194389","https://openalex.org/W6629141504","https://openalex.org/W6674689540","https://openalex.org/W6675014839","https://openalex.org/W6695606353"],"related_works":["https://openalex.org/W2384841836","https://openalex.org/W2731179559","https://openalex.org/W2375922665","https://openalex.org/W2352311482","https://openalex.org/W2078012676","https://openalex.org/W103396956","https://openalex.org/W2348349206","https://openalex.org/W2358918509","https://openalex.org/W4250984112","https://openalex.org/W2373530988"],"abstract_inverted_index":{"We":[0,51],"describe":[1],"an":[2],"approach":[3],"to":[4,40,59,70,78,89,95,108],"extract":[5],"sulcal":[6,115],"lines":[7,116],"from":[8,64,117],"cerebral":[9],"MRI":[10,62],"data":[11,63],"using":[12],"the":[13,28,41,53,57,71,74,79,93,96,109,114],"image":[14,32],"foresting":[15],"transform.":[16],"This":[17],"technique,":[18],"based":[19],"on":[20],"graph":[21],"theory,":[22],"provides":[23],"a":[24,106],"sound":[25],"framework":[26],"for":[27],"implementation":[29],"of":[30,43,55,61,73],"many":[31,44],"processing":[33],"operators,":[34],"and":[35,67,77],"has":[36,85,99],"been":[37,87,101],"successfully":[38],"applied":[39],"solution":[42],"problems,":[45],"including":[46],"some":[47],"in":[48],"medical":[49],"imaging.":[50],"show":[52],"results":[54],"applying":[56],"technique":[58],"slices":[60],"four":[65],"subjects":[66],"compare":[68],"these":[69],"computation":[72],"morphological":[75],"skeleton":[76],"conditional":[80,97],"thickening.":[81],"A":[82],"shorter":[83],"version":[84],"already":[86],"submitted":[88],"ICIP":[90],"2003,":[91],"but":[92],"comparison":[94],"thickening":[98],"only":[100],"presented.":[102],"Also,":[103],"we":[104],"present":[105],"correction":[107],"IFT":[110],"procedure":[111],"which":[112],"prevents":[113],"breaking.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}