乐胖代购免代理版

{"id":"https://openalex.org/W2029279753","doi":"https://doi.org/10.1117/12.768925","title":"Efficient fiber clustering using parameterized polynomials","display_name":"Efficient fiber clustering using parameterized polynomials","publication_year":2008,"publication_date":"2008-03-06","ids":{"openalex":"https://openalex.org/W2029279753","doi":"https://doi.org/10.1117/12.768925","mag":"2029279753"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.768925","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_indexed_in_scopus":false,"is_core":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5022024731","display_name":"Jan Klein","orcid":"https://orcid.org/0000-0001-9421-3549"},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Klein","raw_affiliation_strings":["MeVis Research (Germany)"],"affiliations":[{"raw_affiliation_string":"MeVis Research (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060673830","display_name":"Hannes Stuke","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hannes Stuke","raw_affiliation_strings":["MeVis Research (Germany)"],"affiliations":[{"raw_affiliation_string":"MeVis Research (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013671245","display_name":"Bram Stieltjes","orcid":"https://orcid.org/0000-0002-5961-802X"},"institutions":[{"id":"https://openalex.org/I17937529","display_name":"German Cancer Research Center","ror":"https://ror.org/04cdgtt98","country_code":"DE","type":"funder","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bram Stieltjes","raw_affiliation_strings":["German Cancer Research Ctr. (Germany)"],"affiliations":[{"raw_affiliation_string":"German Cancer Research Ctr. (Germany)","institution_ids":["https://openalex.org/I17937529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000951270","display_name":"Olaf Konrad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Olaf Konrad","raw_affiliation_strings":["MeVis Research (Germany)"],"affiliations":[{"raw_affiliation_string":"MeVis Research (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047104707","display_name":"Horst K. Hahn","orcid":"https://orcid.org/0000-0001-7512-5762"},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Horst K. Hahn","raw_affiliation_strings":["MeVis Research (Germany)"],"affiliations":[{"raw_affiliation_string":"MeVis Research (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108568278","display_name":"Heinz\u2010Otto Peitgen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heinz-Otto Peitgen","raw_affiliation_strings":["MeVis Research (Germany)"],"affiliations":[{"raw_affiliation_string":"MeVis Research (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.986,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.727497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":"6918","issue":null,"first_page":"69182X","last_page":"69182X"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9997,"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"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9997,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.985,"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":0.9682,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.54977703}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8390725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63007516},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.62685704},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.54977703},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.49538004},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.43146652},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.41660565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39882755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37462536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3583614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2631206},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.768925","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_indexed_in_scopus":false,"is_core":true,"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3144143113","https://openalex.org/W3120229345","https://openalex.org/W3039964395","https://openalex.org/W3022637481","https://openalex.org/W2804957450","https://openalex.org/W2393816671","https://openalex.org/W2357208913","https://openalex.org/W2111119584","https://openalex.org/W2040929534","https://openalex.org/W1999117613"],"abstract_inverted_index":{"In":[0,76],"the":[1,31,53,57,61,102,136,141,156,168],"past":[2],"few":[3],"years,":[4],"fiber":[5,193,232,239,243,248],"clustering":[6,63,72,110,157],"algorithms":[7,82,198,225],"have":[8,179],"shown":[9],"to":[10,56,135,144],"be":[11,145,159,201],"a":[12,49,116,151,180,216],"very":[13,94],"powerful":[14],"tool":[15],"for":[16,69,150,188,203],"grouping":[17],"white":[18],"matter":[19],"connections":[20],"tracked":[21],"in":[22,73,161,207],"DTI":[23],"images":[24],"into":[25],"anatomically":[26],"meaningful":[27],"bundles.":[28,249],"They":[29],"improve":[30],"visualization":[32],"and":[33,35,40,83,96,105,185,220,230,246],"perception,":[34],"could":[36],"enable":[37],"robust":[38],"quantification":[39],"comparison":[41],"between":[42],"individuals.":[43],"However,":[44],"most":[45],"existing":[46,176],"techniques":[47],"perform":[48],"coarse":[50],"approximation":[51],"of":[52,60,154,170,222,238],"fibers":[54,91],"due":[55],"high":[58,217],"complexity":[59],"underlying":[62],"problem":[64],"or":[65],"do":[66],"not":[67],"allow":[68],"an":[70,189],"efficient":[71,190],"real":[74,231],"time.":[75],"this":[77],"paper,":[78],"we":[79],"introduce":[80],"new":[81,197,224],"data":[84],"structures":[85],"which":[86,178],"overcome":[87],"both":[88],"problems.":[89],"The":[90],"are":[92],"represented":[93],"precisely":[95],"efficiently":[97],"by":[98,128],"parameterized":[99],"polynomials":[100],"defining":[101],"x-,":[103],"y-,":[104],"z-component":[106],"individually.":[107],"A":[108],"two-step":[109],"method":[111],"determines":[112],"possible":[113],"clusters":[114,206],"having":[115],"Gaussian":[117],"distributed":[118],"structure":[119],"within":[120],"one":[121],"component":[122,130],"and,":[123],"afterwards,":[124],"verifies":[125],"their":[126],"existences":[127],"principal":[129],"analysis":[131],"(PCA)":[132],"with":[133],"respect":[134],"other":[137],"two":[138],"components.":[139],"As":[140],"PCA":[142],"has":[143],"performed":[146],"only":[147],"n":[148,166],"times":[149],"constant":[152],"number":[153,169],"points,":[155],"can":[158,199],"done":[160],"linear":[162],"time":[163],"O(n),":[164],"where":[165],"denotes":[167],"fibers.":[171],"This":[172],"drastically":[173],"improves":[174],"on":[175,227],"techniques,":[177],"high,":[181],"quadratic":[182],"running":[183],"time,":[184],"it":[186],"allows":[187],"whole":[191],"brain":[192],"clustering.":[194],"Furthermore,":[195],"our":[196,223],"easily":[200],"used":[202],"detecting":[204],"corresponding":[205],"different":[208,236],"brains":[209],"without":[210],"time-consuming":[211],"registration":[212],"methods.":[213],"We":[214],"show":[215],"reliability,":[218],"robustness":[219],"efficiency":[221],"based":[226],"several":[228],"artificial":[229],"sets":[233],"that":[234],"include":[235],"elements":[237],"architecture":[240],"such":[241],"as":[242],"kissing,":[244],"crossing":[245],"nested":[247]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2029279753","counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-03-19T00:18:01.255684","created_date":"2016-06-24"}