{"id":"https://openalex.org/W2073001273","doi":"https://doi.org/10.1109/isbi.2014.6868092","title":"Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study","display_name":"Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2073001273","doi":"https://doi.org/10.1109/isbi.2014.6868092","mag":"2073001273","pmid":"https://pubmed.ncbi.nlm.nih.gov/25405003"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6868092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5023707205","display_name":"Yasheng Chen","orcid":"https://orcid.org/0000-0002-1133-452X"},"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":true,"raw_author_name":"Yasheng Chen","raw_affiliation_strings":["Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599"],"affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052040538","display_name":"Hongyu An","orcid":"https://orcid.org/0000-0001-6459-2269"},"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":"Hongyu An","raw_affiliation_strings":["Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599"],"affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"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":["Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599"],"affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077961759","display_name":"Hongtu Zhu","orcid":"https://orcid.org/0000-0002-6781-2690"},"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":"Hongtu Zhu","raw_affiliation_strings":["Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Biostatistics, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599"],"affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Biostatistics, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006302877","display_name":"Weili Lin","orcid":"https://orcid.org/0000-0002-2900-8204"},"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":"Weili Lin","raw_affiliation_strings":["Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599"],"affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599 ; Dept. of Radiology, Univ. of North Carolina at Chapel Hill, Chapel Hill, NC 27599","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023707205"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.3388,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65569134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2014","issue":null,"first_page":"1206","last_page":"1209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/akaike-information-criterion","display_name":"Akaike information criterion","score":0.8316605091094971},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6636159420013428},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5164030194282532},{"id":"https://openalex.org/keywords/analysis-of-covariance","display_name":"Analysis of covariance","score":0.5019440650939941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47952890396118164},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4771104156970978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46197497844696045},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.45352938771247864},{"id":"https://openalex.org/keywords/bayesian-information-criterion","display_name":"Bayesian information criterion","score":0.4517662823200226},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.4171035885810852},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"Longitudinal data","score":0.41530314087867737},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39677393436431885},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3639753460884094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3608061671257019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3522479236125946},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20019614696502686},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09381687641143799}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.8316605091094971},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6636159420013428},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5164030194282532},{"id":"https://openalex.org/C119340705","wikidata":"https://www.wikidata.org/wiki/Q1628597","display_name":"Analysis of covariance","level":2,"score":0.5019440650939941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47952890396118164},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4771104156970978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46197497844696045},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.45352938771247864},{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.4517662823200226},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.4171035885810852},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.41530314087867737},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39677393436431885},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3639753460884094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3608061671257019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3522479236125946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20019614696502686},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09381687641143799},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2014.6868092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:25405003","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25405003","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:europepmc.org:3201589","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4232948","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1552880417","https://openalex.org/W1996474046","https://openalex.org/W1997510289","https://openalex.org/W2002464916","https://openalex.org/W2034690693","https://openalex.org/W2081283602","https://openalex.org/W2089584334","https://openalex.org/W2110776215","https://openalex.org/W2126711960","https://openalex.org/W2127889169","https://openalex.org/W2142864721","https://openalex.org/W2166976353","https://openalex.org/W2316284434","https://openalex.org/W2739833408","https://openalex.org/W4252697782","https://openalex.org/W4388319941"],"related_works":["https://openalex.org/W1566728629","https://openalex.org/W2617987378","https://openalex.org/W2509820422","https://openalex.org/W1502087262","https://openalex.org/W3187368641","https://openalex.org/W2626271282","https://openalex.org/W3122388856","https://openalex.org/W1946191587","https://openalex.org/W2088726129","https://openalex.org/W1998988312"],"abstract_inverted_index":{"There":[0],"are":[1],"imminent":[2],"needs":[3],"for":[4,26,73],"longitudinal":[5,27],"analysis":[6],"to":[7,21,63],"make":[8],"physiological":[9,76],"inferences":[10],"on":[11],"NIH":[12],"MRI":[13],"study":[14],"of":[15,32],"normal":[16],"brain":[17],"development.":[18],"But":[19],"up":[20],"date,":[22],"two":[23],"critical":[24],"aspects":[25],"analysis,":[28],"namely":[29],"the":[30,42,46,94,98,111,123],"selections":[31],"mean":[33,47],"and":[34],"covariance":[35,79,113],"structures":[36],"have":[37,83,108],"not":[38,92],"been":[39],"addressed":[40],"by":[41],"neuroimaging":[43],"community.":[44],"For":[45,78],"structure,":[48],"we":[49,82],"employed":[50],"a":[51,65,74,85,116],"linear":[52,71],"free-knot":[53],"B-spline":[54],"regression":[55],"in":[56],"combination":[57],"with":[58,69],"quasi-least":[59],"square":[60],"estimating":[61],"equations":[62],"approximate":[64],"nonlinear":[66],"growth":[67],"trajectory":[68],"piecewise":[70],"segments":[72],"friendly":[75],"interpretation.":[77],"structure":[80,90,114],"selection,":[81],"proposed":[84,112],"novel":[86],"time":[87,95],"varying":[88],"correlation":[89,127],"considering":[91],"only":[93],"separation":[96],"between":[97],"repeated":[99],"measures":[100],"but":[101],"also":[102],"when":[103],"these":[104],"acquisitions":[105],"occurred.":[106],"We":[107],"demonstrated":[109],"that":[110],"has":[115],"lower":[117],"Akaike":[118],"information":[119],"criterion":[120],"value":[121],"than":[122],"commonly":[124],"used":[125],"Markov":[126],"structure.":[128]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}