{"id":"https://openalex.org/W2123744745","doi":"https://doi.org/10.1109/icip.2002.1038922","title":"A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages","display_name":"A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2123744745","doi":"https://doi.org/10.1109/icip.2002.1038922","mag":"2123744745"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1038922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038922","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","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/A5102839062","display_name":"Ana Luki\u0107","orcid":"https://orcid.org/0000-0002-0662-4856"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A.S. Lukic","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043182454","display_name":"Miles N. Wernick","orcid":null},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.N. Wernick","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026606753","display_name":"N.P. Galatsanos","orcid":null},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N.P. Galatsanos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048510347","display_name":"Yongyi Yang","orcid":"https://orcid.org/0000-0003-3564-3260"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongyi Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009298184","display_name":"Stephen C. Strother","orcid":"https://orcid.org/0000-0002-3198-217X"},"institutions":[{"id":"https://openalex.org/I4210140408","display_name":"Minneapolis VA Medical Center","ror":"https://ror.org/032b8d361","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210117246","https://openalex.org/I4210117924","https://openalex.org/I4210140408"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.C. Strother","raw_affiliation_strings":["University Minnesota and VA Medical Center, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University Minnesota and VA Medical Center, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210140408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102839062"],"corresponding_institution_ids":["https://openalex.org/I180949307"],"apc_list":null,"apc_paid":null,"fwci":0.5202,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70830222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"III","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991999864578247,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991999864578247,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9961000084877014,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/reversible-jump-markov-chain-monte-carlo","display_name":"Reversible-jump Markov chain Monte Carlo","score":0.9622065424919128},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.729388415813446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6545504331588745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.630479633808136},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6074689626693726},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5887196660041809},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5239827036857605},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5191318392753601},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.5045872926712036},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4593975245952606},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4484092891216278},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44272381067276},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.43360763788223267},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.415425181388855},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.41188663244247437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40774717926979065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2538120746612549},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.16550469398498535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15663978457450867},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.110687255859375},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.09316521883010864}],"concepts":[{"id":"https://openalex.org/C2780591659","wikidata":"https://www.wikidata.org/wiki/Q17083869","display_name":"Reversible-jump Markov chain Monte Carlo","level":4,"score":0.9622065424919128},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.729388415813446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6545504331588745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.630479633808136},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6074689626693726},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5887196660041809},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5239827036857605},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5191318392753601},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.5045872926712036},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4593975245952606},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4484092891216278},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44272381067276},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.43360763788223267},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.415425181388855},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.41188663244247437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40774717926979065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2538120746612549},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.16550469398498535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15663978457450867},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.110687255859375},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.09316521883010864},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2002.1038922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1038922","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1982891217","https://openalex.org/W2006516391","https://openalex.org/W2024986101","https://openalex.org/W2044315674","https://openalex.org/W2045200995","https://openalex.org/W2055309705","https://openalex.org/W2106706098","https://openalex.org/W2112979274","https://openalex.org/W2117838564","https://openalex.org/W2127264315","https://openalex.org/W4292403327","https://openalex.org/W6679179876"],"related_works":["https://openalex.org/W2953867467","https://openalex.org/W3151507825","https://openalex.org/W2001857141","https://openalex.org/W2951072873","https://openalex.org/W1554021357","https://openalex.org/W2146317212","https://openalex.org/W2493909506","https://openalex.org/W71678127","https://openalex.org/W2112913028","https://openalex.org/W4205763938"],"abstract_inverted_index":{"We":[0,21,44],"propose":[1],"a":[2,16,27,56,67,106,110],"new":[3],"signal-detection":[4],"approach":[5],"for":[6],"detecting":[7],"brain":[8],"activations":[9],"from":[10,109,126],"PET":[11],"or":[12],"fMRI":[13],"images":[14],"in":[15,90],"two-state":[17],"(\"on-off\")":[18],"neuroimaging":[19,111],"study.":[20],"model":[22,92],"the":[23,46,62,91,94,116,123],"activation":[24,97,124],"pattern":[25,125],"as":[26],"superposition":[28],"of":[29,33,38,48,77,86,96],"an":[30],"unknown":[31,39,87],"number":[32,47,95],"circular":[34],"spatial":[35],"basis":[36],"functions":[37,50],"position,":[40],"size,":[41],"and":[42,51],"amplitude.":[43],"determine":[45],"these":[49],"their":[52],"parameters":[53],"by":[54],"maximum":[55],"posteriori":[57],"(MAP)":[58],"estimation.":[59],"To":[60],"maximize":[61],"posterior":[63],"distribution":[64],"we":[65,113],"use":[66],"reversible":[68],"jump":[69],"Markov-chain":[70],"Monte-Carlo":[71],"(RJMCMC)":[72],"algorithm.":[73],"The":[74],"main":[75],"advantage":[76],"RJMCMC":[78],"is":[79],"that":[80,115],"it":[81],"can":[82,119],"estimate":[83,120],"parameter":[84],"vectors":[85],"length.":[88],"Thus,":[89],"used":[93],"sites":[98],"does":[99],"not":[100],"need":[101],"to":[102],"be":[103],"known.":[104],"Using":[105],"phantom":[107],"derived":[108],"study,":[112],"demonstrate":[114],"proposed":[117],"method":[118],"more":[121],"accurately":[122],"traditional":[127],"approaches.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}