{"id":"https://openalex.org/W2403921258","doi":"https://doi.org/10.1109/wacv.2016.7477602","title":"An elastic functional data analysis framework for preoperative evaluation of patients with Rheumatoid Arthritis","display_name":"An elastic functional data analysis framework for preoperative evaluation of patients with Rheumatoid Arthritis","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2403921258","doi":"https://doi.org/10.1109/wacv.2016.7477602","mag":"2403921258"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2016.7477602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"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/A5024333234","display_name":"Chafik Samir","orcid":"https://orcid.org/0000-0003-0619-5040"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210099416","display_name":"Laboratoire d'Informatique, de Mod\u00e9lisation et d'Optimisation des Syst\u00e8mes","ror":"https://ror.org/00t3fpp34","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I198244214","https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993","https://openalex.org/I4210099416","https://openalex.org/I4210123221","https://openalex.org/I4210159245","https://openalex.org/I4387154249"]},{"id":"https://openalex.org/I4210103002","display_name":"University of Clermont Auvergne","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210103002"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chafik Samir","raw_affiliation_strings":["LIMOS CNRS UMR 6158, University of Clermont Auvergne, Clermont, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIMOS CNRS UMR 6158, University of Clermont Auvergne, Clermont, France","institution_ids":["https://openalex.org/I4210103002","https://openalex.org/I4210099416","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012138072","display_name":"Sebastian Kurtek","orcid":"https://orcid.org/0000-0003-3832-9496"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sebastian Kurtek","raw_affiliation_strings":["Department of Statistics, The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086786635","display_name":"Anuj Srivastava","orcid":"https://orcid.org/0000-0001-7406-0338"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anuj Srivastava","raw_affiliation_strings":["Department of Statistics, Florida State University, Tallahassee, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108643029","display_name":"No\u00e9 Gomes Borges","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noe Borges","raw_affiliation_strings":["Physical Activity and Health, University of Santa Catarina, Florianopolis, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physical Activity and Health, University of Santa Catarina, Florianopolis, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10200","display_name":"Rheumatoid Arthritis Research and Therapies","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T10200","display_name":"Rheumatoid Arthritis Research and Therapies","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9452999830245972,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/functional-principal-component-analysis","display_name":"Functional principal component analysis","score":0.8413352966308594},{"id":"https://openalex.org/keywords/functional-data-analysis","display_name":"Functional data analysis","score":0.7591416835784912},{"id":"https://openalex.org/keywords/covariance-operator","display_name":"Covariance operator","score":0.7142235040664673},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6003654599189758},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.5996627807617188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5801116228103638},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4925447404384613},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.49117419123649597},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.47491464018821716},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.46771353483200073},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4563773572444916},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4404401183128357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4198465645313263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28577256202697754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2678919732570648}],"concepts":[{"id":"https://openalex.org/C71176878","wikidata":"https://www.wikidata.org/wiki/Q17014987","display_name":"Functional principal component analysis","level":3,"score":0.8413352966308594},{"id":"https://openalex.org/C51820054","wikidata":"https://www.wikidata.org/wiki/Q5508814","display_name":"Functional data analysis","level":2,"score":0.7591416835784912},{"id":"https://openalex.org/C103692563","wikidata":"https://www.wikidata.org/wiki/Q5178900","display_name":"Covariance operator","level":3,"score":0.7142235040664673},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6003654599189758},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.5996627807617188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5801116228103638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4925447404384613},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.49117419123649597},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.47491464018821716},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.46771353483200073},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4563773572444916},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4404401183128357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4198465645313263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28577256202697754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2678919732570648},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2016.7477602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W166398365","https://openalex.org/W1594574262","https://openalex.org/W1977751116","https://openalex.org/W1992861550","https://openalex.org/W2021000049","https://openalex.org/W2024923922","https://openalex.org/W2025441457","https://openalex.org/W2041121499","https://openalex.org/W2042317056","https://openalex.org/W2047583414","https://openalex.org/W2060204335","https://openalex.org/W2064796257","https://openalex.org/W2065304595","https://openalex.org/W2099576816","https://openalex.org/W2101738966","https://openalex.org/W2135837610","https://openalex.org/W2156976625","https://openalex.org/W3099859933","https://openalex.org/W3137136951","https://openalex.org/W4210968471","https://openalex.org/W4240093485","https://openalex.org/W4292156489","https://openalex.org/W6606841747","https://openalex.org/W6635669571","https://openalex.org/W6683215195"],"related_works":["https://openalex.org/W2347413598","https://openalex.org/W2330863229","https://openalex.org/W2299080873","https://openalex.org/W71572444","https://openalex.org/W2403921258","https://openalex.org/W4280520263","https://openalex.org/W2777448711","https://openalex.org/W2010048326","https://openalex.org/W2780870313","https://openalex.org/W2929940886"],"abstract_inverted_index":{"We":[0,23,54],"present":[1],"a":[2,25,70],"novel":[3],"framework":[4,138],"to":[5,11,19,58,114,144],"analyze":[6],"hand":[7,30,61],"force":[8,31,62,91],"signals":[9,74],"and":[10,32,80,87,121],"capture":[12,84],"their":[13,78],"key":[14],"spatio-temporal":[15],"patterns":[16],"in":[17,90],"order":[18],"characterize":[20],"Rheumatoid":[21],"Arthritis.":[22],"introduce":[24],"new":[26],"continuous":[27],"representation":[28],"of":[29,40,50,98],"derive":[33],"optimal":[34],"intra-class":[35],"alignments":[36],"using":[37,65,102],"the":[38,44,48,51,72,85,95,99,136],"notion":[39],"Karcher":[41],"means":[42],"on":[43],"quotient":[45],"space":[46],"under":[47],"action":[49],"warping":[52],"group.":[53],"apply":[55],"this":[56],"idea":[57],"temporally":[59],"register":[60],"signal":[63],"data":[64,128],"non-linear":[66],"time":[67],"warping.":[68],"As":[69],"result,":[71],"original":[73],"are":[75],"separated":[76],"into":[77],"phase":[79,88],"amplitude":[81,86],"components.":[82],"To":[83],"variabilities":[89],"functions":[92],"we":[93,108],"compute":[94],"dominant":[96],"eigenfunctions":[97],"covariance":[100],"operator":[101],"functional":[103,127],"principal":[104],"component":[105],"analysis.":[106],"Finally,":[107],"use":[109],"support":[110],"vector":[111],"machine":[112],"classifiers":[113],"learn":[115],"priors":[116],"from":[117,125],"current":[118],"state-of-the-art":[119,145],"features":[120,123,142],"additional":[122],"derived":[124],"our":[126],"analysis":[129],"framework.":[130],"The":[131],"experimental":[132],"results":[133],"demonstrate":[134],"that":[135],"proposed":[137],"generates":[139],"clinically":[140],"relevant":[141],"leading":[143],"classification":[146],"performance.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
