{"id":"https://openalex.org/W4247052382","doi":"https://doi.org/10.1007/978-3-540-30136-3_90","title":"Functional Brain Image Analysis Using Joint Function-Structure Priors","display_name":"Functional Brain Image Analysis Using Joint Function-Structure Priors","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4247052382","doi":"https://doi.org/10.1007/978-3-540-30136-3_90"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-30136-3_90","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30136-3_90","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-30136-3_90.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-30136-3_90.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100459985","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-5973-248X"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jing Yang","raw_affiliation_strings":["Department of Electrical Engineering, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026211955","display_name":"Xenophon Papademetris","orcid":"https://orcid.org/0000-0001-7711-3335"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xenophon Papademetris","raw_affiliation_strings":["Department of Diagnostic Radiology, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA"],"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078494006","display_name":"Lawrence H. Staib","orcid":"https://orcid.org/0000-0002-9516-5136"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence H. Staib","raw_affiliation_strings":["Department of Diagnostic Radiology, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","Department of Electrical Engineering, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA"],"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047258772","display_name":"Robert T. Schultz","orcid":"https://orcid.org/0000-0001-9817-3425"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert T. Schultz","raw_affiliation_strings":["Child Study Center, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA"],"affiliations":[{"raw_affiliation_string":"Child Study Center, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046673670","display_name":"James S. Duncan","orcid":"https://orcid.org/0000-0002-5167-9856"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James S. Duncan","raw_affiliation_strings":["Department of Diagnostic Radiology, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","Department of Electrical Engineering, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA"],"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Electrical Engineering, Yale University, P.O. Box 208042, New Haven, CT, 06520-8042, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100459985"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.5765,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6969697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980000257492065,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9830999970436096,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9728000164031982,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7759811878204346},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5900585055351257},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5718576908111572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5611196756362915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5511264801025391},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5353416204452515},{"id":"https://openalex.org/keywords/functional-data-analysis","display_name":"Functional data analysis","score":0.5345624685287476},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4895692765712738},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.46009132266044617},{"id":"https://openalex.org/keywords/statistical-parametric-mapping","display_name":"Statistical parametric mapping","score":0.4359789192676544},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4170811176300049},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4137672185897827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2617829442024231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20076847076416016},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.10367429256439209},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.09399709105491638},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08822131156921387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759811878204346},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5900585055351257},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5718576908111572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5611196756362915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5511264801025391},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5353416204452515},{"id":"https://openalex.org/C51820054","wikidata":"https://www.wikidata.org/wiki/Q5508814","display_name":"Functional data analysis","level":2,"score":0.5345624685287476},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4895692765712738},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.46009132266044617},{"id":"https://openalex.org/C39313694","wikidata":"https://www.wikidata.org/wiki/Q2940624","display_name":"Statistical parametric mapping","level":3,"score":0.4359789192676544},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4170811176300049},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4137672185897827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2617829442024231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20076847076416016},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10367429256439209},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.09399709105491638},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08822131156921387},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-30136-3_90","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30136-3_90","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-30136-3_90.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-540-30136-3_90","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30136-3_90","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-30136-3_90.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4247052382.pdf","grobid_xml":"https://content.openalex.org/works/W4247052382.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1513170560","https://openalex.org/W1523767002","https://openalex.org/W1546787159","https://openalex.org/W1991113069","https://openalex.org/W1991622227","https://openalex.org/W2045200995","https://openalex.org/W2055461579","https://openalex.org/W2116649573","https://openalex.org/W2138266733","https://openalex.org/W2150448849"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W2327200162","https://openalex.org/W1839961359","https://openalex.org/W2075146114","https://openalex.org/W2100805585","https://openalex.org/W2781524617","https://openalex.org/W2152416379","https://openalex.org/W3032257994","https://openalex.org/W1987060659","https://openalex.org/W2042306781"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
