{"id":"https://openalex.org/W1986391850","doi":"https://doi.org/10.1117/12.812940","title":"Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation","display_name":"Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation","publication_year":2009,"publication_date":"2009-02-26","ids":{"openalex":"https://openalex.org/W1986391850","doi":"https://doi.org/10.1117/12.812940","mag":"1986391850"},"language":"en","primary_location":{"id":"doi:10.1117/12.812940","doi":"https://doi.org/10.1117/12.812940","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.812940","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5100768668","display_name":"Zhong Xue","orcid":"https://orcid.org/0000-0003-3207-0890","observed_orcids":["https://orcid.org/0000-0003-3207-0890"]},"institutions":[{"id":"https://openalex.org/I4387153466","display_name":"Weill Cornell Medicine","ror":"https://ror.org/02r109517","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]},{"id":"https://openalex.org/I4405286254","display_name":"Houston Methodist Research Institute","ror":"https://ror.org/01mcrxx35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1295876152","https://openalex.org/I4405286254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong Xue","raw_affiliation_strings":["The Methodist Hospital Research Institute (United States)","Weill Cornell Medical College (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Methodist Hospital Research Institute (United States)","institution_ids":["https://openalex.org/I4405286254"]},{"raw_affiliation_string":"Weill Cornell Medical College (United States)","institution_ids":["https://openalex.org/I4387153466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang G. Shen","orcid":"https://orcid.org/0000-0002-7934-5698","observed_orcids":["https://orcid.org/0000-0002-7934-5698","https://orcid.org/0000-0001-8350-6581","https://orcid.org/0000-0002-5567-3339"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Univ. of North Carolina, Chapel Hill (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of North Carolina, Chapel Hill (United States)","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109196697","display_name":"Stephen T. C. Wong","orcid":"https://orcid.org/0000-0001-9188-6502","observed_orcids":["https://orcid.org/0000-0001-9188-6502","https://orcid.org/0000-0002-8906-6465"]},"institutions":[{"id":"https://openalex.org/I4387153466","display_name":"Weill Cornell Medicine","ror":"https://ror.org/02r109517","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]},{"id":"https://openalex.org/I4405286254","display_name":"Houston Methodist Research Institute","ror":"https://ror.org/01mcrxx35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1295876152","https://openalex.org/I4405286254"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen T. C. Wong","raw_affiliation_strings":["The Methodist Hospital Research Institute (United States)","Weill Cornell Medical College (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Methodist Hospital Research Institute (United States)","institution_ids":["https://openalex.org/I4405286254"]},{"raw_affiliation_string":"Weill Cornell Medical College (United States)","institution_ids":["https://openalex.org/I4387153466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2721,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41958204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7259","issue":null,"first_page":"725904","last_page":"725904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tissue-probability-maps","display_name":"tissue probability maps","score":0.8140000104904175},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"fuzzy clustering","score":0.9319999814033508},{"id":"https://openalex.org/keywords/longitudinal-neuroimaging","display_name":"longitudinal neuroimaging","score":0.6819999814033508},{"id":"https://openalex.org/keywords/alzheimer-s-disease","display_name":"Alzheimer's disease","score":0.8500000238418579},{"id":"https://openalex.org/keywords/adni","display_name":"ADNI","score":0.5090000033378601},{"id":"https://openalex.org/keywords/quantitative-morphometrics","display_name":"quantitative morphometry","score":0.5960000157356262}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7827475070953369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.694011926651001},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6866647601127625},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6678865551948547},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6350723505020142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288399696350098},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6073764562606812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5991674661636353},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5513553023338318},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5338911414146423},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4644807279109955},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41202202439308167},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4111872911453247},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.157157301902771},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.812940","doi":"https://doi.org/10.1117/12.812940","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.812940","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1487334537","https://openalex.org/W1577109989","https://openalex.org/W1977447200","https://openalex.org/W1995004864","https://openalex.org/W1998710995","https://openalex.org/W2013930726","https://openalex.org/W2015513598","https://openalex.org/W2033732385","https://openalex.org/W2034372240","https://openalex.org/W2121851933","https://openalex.org/W2128506906","https://openalex.org/W2129759040","https://openalex.org/W2139140353","https://openalex.org/W2154545925","https://openalex.org/W2161922322"],"related_works":["https://openalex.org/W2020390138","https://openalex.org/W7100242754","https://openalex.org/W2955361013","https://openalex.org/W1223013076","https://openalex.org/W4391148884","https://openalex.org/W2061529157","https://openalex.org/W1969063908","https://openalex.org/W2347286808","https://openalex.org/W4289667358","https://openalex.org/W2033944483"],"abstract_inverted_index":{"Traditional":[0],"fuzzy":[1],"clustering":[2,18,58,108],"algorithms":[3,36],"have":[4],"been":[5],"successfully":[6],"applied":[7],"in":[8,106,134],"MR":[9,44,116],"image":[10,66,96,131],"segmentation":[11,67,80,97,104,132],"for":[12,68],"quantitative":[13],"morphological":[14],"analysis.":[15],"However,":[16],"the":[17,25,88,107,120,128,135],"results":[19,111],"might":[20],"be":[21,99],"biased":[22],"due":[23],"to":[24,38,63],"variability":[26],"of":[27,43,71,79,90,112,137],"tissue":[28,54,75,92],"intensities":[29],"and":[30,60,86,119,142],"anatomical":[31],"structures.":[32],"For":[33],"example,":[34],"clustering-based":[35],"tend":[37],"over-segment":[39],"white":[40],"matter":[41],"tissues":[42],"brain":[45,65,117],"images.":[46],"To":[47],"solve":[48],"this":[49],"problem,":[50],"we":[51],"introduce":[52],"a":[53,84],"probability":[55,76,89],"map":[56],"constrained":[57],"algorithm":[59,133],"apply":[61],"it":[62],"serialMR":[64],"longitudinal":[69,115,144],"study":[70],"human":[72],"brains.":[73],"The":[74],"maps":[77],"consist":[78],"priors":[81,105],"obtained":[82],"from":[83],"population":[85],"reflect":[87],"different":[91],"types.":[93],"More":[94],"accurate":[95,141],"can":[98],"achieved":[100],"by":[101],"using":[102,127],"these":[103],"algorithm.":[109],"Experimental":[110],"both":[113],"simulated":[114],"data":[118,126],"Alzheimer's":[121],"Disease":[122],"Neuroimaging":[123],"Initiative":[124],"(ADNI)":[125],"new":[129],"serial":[130],"framework":[136],"CLASSIC":[138],"show":[139],"more":[140],"robust":[143],"measures.":[145]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-24T09:50:30.924529","created_date":"2016-06-24T00:00:00"}
