{"id":"https://openalex.org/W2152898729","doi":"https://doi.org/10.1109/isbi.2010.5490414","title":"Robustness and sensitivity of hotelling's T2-based permutation tests for selection of 3D morphological markers","display_name":"Robustness and sensitivity of hotelling's T2-based permutation tests for selection of 3D morphological markers","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2152898729","doi":"https://doi.org/10.1109/isbi.2010.5490414","mag":"2152898729"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5073281532","display_name":"Luca Ferrarini","orcid":"https://orcid.org/0000-0001-7598-8971"},"institutions":[{"id":"https://openalex.org/I2800006345","display_name":"Leiden University Medical Center","ror":"https://ror.org/05xvt9f17","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800006345"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"L. Ferrarini","raw_affiliation_strings":["Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands"],"affiliations":[{"raw_affiliation_string":"Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands","institution_ids":["https://openalex.org/I2800006345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051868596","display_name":"Giovanni B. Frisoni","orcid":"https://orcid.org/0000-0002-6419-1753"},"institutions":[{"id":"https://openalex.org/I4210153126","display_name":"Istituti di Ricovero e Cura a Carattere Scientifico","ror":"https://ror.org/04tfzc498","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G.B. Frisoni","raw_affiliation_strings":["Laboratory of Epidemiology Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio-FBF, Italy"],"affiliations":[{"raw_affiliation_string":"Laboratory of Epidemiology Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio-FBF, Italy","institution_ids":["https://openalex.org/I4210153126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030180072","display_name":"Michela Pievani","orcid":"https://orcid.org/0000-0002-1794-8987"},"institutions":[{"id":"https://openalex.org/I4210153126","display_name":"Istituti di Ricovero e Cura a Carattere Scientifico","ror":"https://ror.org/04tfzc498","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Pievani","raw_affiliation_strings":["Laboratory of Epidemiology Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio-FBF, Italy"],"affiliations":[{"raw_affiliation_string":"Laboratory of Epidemiology Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio-FBF, Italy","institution_ids":["https://openalex.org/I4210153126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087016999","display_name":"Rossana Ganzola","orcid":"https://orcid.org/0000-0002-6815-6787"},"institutions":[{"id":"https://openalex.org/I4210153126","display_name":"Istituti di Ricovero e Cura a Carattere Scientifico","ror":"https://ror.org/04tfzc498","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"R. Ganzola","raw_affiliation_strings":["Laboratory of Epidemiology Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio-FBF, Italy"],"affiliations":[{"raw_affiliation_string":"Laboratory of Epidemiology Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio-FBF, Italy","institution_ids":["https://openalex.org/I4210153126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028379363","display_name":"Johan H. C. Reiber","orcid":"https://orcid.org/0000-0002-0387-6417"},"institutions":[{"id":"https://openalex.org/I2800006345","display_name":"Leiden University Medical Center","ror":"https://ror.org/05xvt9f17","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800006345"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J.H.C. Reiber","raw_affiliation_strings":["Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands"],"affiliations":[{"raw_affiliation_string":"Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands","institution_ids":["https://openalex.org/I2800006345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079883649","display_name":"Julien Milles","orcid":null},"institutions":[{"id":"https://openalex.org/I2800006345","display_name":"Leiden University Medical Center","ror":"https://ror.org/05xvt9f17","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800006345"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J. Milles","raw_affiliation_strings":["Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands"],"affiliations":[{"raw_affiliation_string":"Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands","institution_ids":["https://openalex.org/I2800006345"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073281532"],"corresponding_institution_ids":["https://openalex.org/I2800006345"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14719802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9968000054359436,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.7076442837715149},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.587588369846344},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5304341316223145},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48401281237602234},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.48226338624954224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4665994644165039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.464020311832428},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.4373719394207001},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4162978529930115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4115701913833618},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36538106203079224},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.35023561120033264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3241614103317261},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1263490915298462},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.08633419871330261},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08506816625595093},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08098146319389343}],"concepts":[{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.7076442837715149},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.587588369846344},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5304341316223145},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48401281237602234},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.48226338624954224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4665994644165039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.464020311832428},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.4373719394207001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4162978529930115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4115701913833618},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36538106203079224},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.35023561120033264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3241614103317261},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1263490915298462},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08633419871330261},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08506816625595093},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08098146319389343},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2010.5490414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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":10,"referenced_works":["https://openalex.org/W1503436835","https://openalex.org/W2001663971","https://openalex.org/W2011481459","https://openalex.org/W2054794722","https://openalex.org/W2064771454","https://openalex.org/W2070066223","https://openalex.org/W2079838870","https://openalex.org/W2138790588","https://openalex.org/W2155492919","https://openalex.org/W4230065791"],"related_works":["https://openalex.org/W2021333301","https://openalex.org/W2077508419","https://openalex.org/W2006114390","https://openalex.org/W2380800094","https://openalex.org/W2099378941","https://openalex.org/W2096947471","https://openalex.org/W2011903341","https://openalex.org/W2056203905","https://openalex.org/W4385400511","https://openalex.org/W2013882407"],"abstract_inverted_index":{"Multivariate":[0],"statistics":[1],"are":[2,77],"a":[3,38,114],"powerful":[4],"tool":[5],"to":[6,30,106,123,127,161],"analyze":[7],"morphological":[8,121],"changes":[9,122],"in":[10,158],"three-dimensional":[11],"brain":[12],"structures.":[13],"The":[14,130],"Hotelling's":[15],"T":[16],"<sup":[17,21,34,99],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[18,22,35,100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[19,23,36,101],"(HT":[20],")":[24],"statistic":[25],"has":[26],"previously":[27],"been":[28],"used":[29,64],"this":[31,49,89],"purpose.":[32],"HT":[33,98],"is":[37,141],"parametric":[39],"test":[40,60],"which":[41],"assumes":[42],"normal":[43],"distribution":[44],"of":[45,86,97,119,132,147],"the":[46,59,82,93,117,145],"data:":[47],"when":[48],"does":[50],"not":[51],"hold,":[52],"as":[53,65],"often":[54],"happens":[55],"for":[56,67],"shape":[57],"analysis,":[58],"can":[61],"still":[62],"be":[63],"basis":[66],"nonparametric":[68],"permutation":[69],"tests":[70],"(PT).":[71],"In":[72,88],"their":[73],"approximate":[74],"version,":[75],"PT":[76,133,150],"nondeterministic,":[78],"being":[79],"affected":[80],"by":[81],"randomly":[83],"pooled":[84],"subset":[85],"permutations.":[87,148],"study,":[90],"we":[91],"investigate":[92],"sensitivity":[94,131],"and":[95,113],"robustness":[96],"-based":[102],"PT,":[103],"with":[104,136],"respect":[105],"nondeterministic":[107],"effects,":[108],"both":[109],"on":[110,144],"simulated":[111],"data":[112],"medical":[115],"application:":[116],"detection":[118],"hippocampal":[120],"accurately":[124],"predict":[125],"conversion":[126,160],"Alzheimer's":[128,162],"disease.":[129,163],"increases":[134],"significantly":[135],"larger":[137],"sample":[138],"size,":[139],"while":[140],"less":[142],"dependent":[143],"number":[146],"Moreover,":[149],"provides":[151],"statistically":[152],"consistent":[153],"classification":[154],"performances:":[155],"80%":[156],"accuracy":[157],"predicting":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}