{"id":"https://openalex.org/W2892153851","doi":"https://doi.org/10.1007/978-3-030-00928-1_69","title":"FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis","display_name":"FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2892153851","doi":"https://doi.org/10.1007/978-3-030-00928-1_69","mag":"2892153851"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-00928-1_69","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00928-1_69","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076341654","display_name":"Xinwei Sun","orcid":"https://orcid.org/0000-0001-6962-7985"},"institutions":[{"id":"https://openalex.org/I4210108109","display_name":"Beijing Enterprises (China)","ror":"https://ror.org/01egb4878","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210108109"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Sun","raw_affiliation_strings":["Deepwise Inc., Beijing, 100085, China","School of Mathematical Science, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deepwise Inc., Beijing, 100085, China","institution_ids":["https://openalex.org/I4210108109"]},{"raw_affiliation_string":"School of Mathematical Science, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055368283","display_name":"Lingjing Hu","orcid":"https://orcid.org/0009-0005-8353-9515"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingjing Hu","raw_affiliation_strings":["Yanjing Medical College, Capital Medical University, Beijing, 101300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yanjing Medical College, Capital Medical University, Beijing, 101300, China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022828476","display_name":"Fandong Zhang","orcid":"https://orcid.org/0000-0003-0655-1180"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210108109","display_name":"Beijing Enterprises (China)","ror":"https://ror.org/01egb4878","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210108109"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fandong Zhang","raw_affiliation_strings":["Deepwise Inc., Beijing, 100085, China","Key Laboratory of Machine Perception (Ministry of Education), Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deepwise Inc., Beijing, 100085, China","institution_ids":["https://openalex.org/I4210108109"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051299066","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0001-5814-1162"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Hong Kong University of Science and Technology and Peking University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology and Peking University, Hong Kong, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I20231570","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602395","display_name":"Yizhou Wang","orcid":"https://orcid.org/0000-0001-9888-6409"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210108109","display_name":"Beijing Enterprises (China)","ror":"https://ror.org/01egb4878","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210108109"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhou Wang","raw_affiliation_strings":["Deepwise Inc., Beijing, 100085, China","National Engineering Laboratory for Video Technology, Key Laboratory of Machine Perception, School of EECS, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deepwise Inc., Beijing, 100085, China","institution_ids":["https://openalex.org/I4210108109"]},{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Key Laboratory of Machine Perception, School of EECS, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051299066","https://openalex.org/A5055368283"],"corresponding_institution_ids":["https://openalex.org/I183519381","https://openalex.org/I200769079","https://openalex.org/I20231570","https://openalex.org/I889458895"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0916,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53185758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"611","last_page":"619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9952999949455261,"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":0.9952999949455261,"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":0.9804999828338623,"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/interpretability","display_name":"Interpretability","score":0.9130102396011353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8431339263916016},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.626291811466217},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.592290997505188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5888524055480957},{"id":"https://openalex.org/keywords/multicollinearity","display_name":"Multicollinearity","score":0.5792930126190186},{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.5562571883201599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5257440805435181},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5022730827331543},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47659510374069214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46802765130996704},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.46580344438552856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45469820499420166},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.10465830564498901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0904833972454071}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9130102396011353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8431339263916016},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.626291811466217},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.592290997505188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5888524055480957},{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.5792930126190186},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.5562571883201599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5257440805435181},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5022730827331543},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47659510374069214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46802765130996704},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.46580344438552856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45469820499420166},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.10465830564498901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0904833972454071},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-00928-1_69","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00928-1_69","pdf_url":null,"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"},{"id":"pmh:oai:repository.ust.hk:1783.1-94406","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-94406","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W113475142","https://openalex.org/W1844989601","https://openalex.org/W2011402106","https://openalex.org/W2036142047","https://openalex.org/W2078793617","https://openalex.org/W2103559027","https://openalex.org/W2110065044","https://openalex.org/W2122825543","https://openalex.org/W2131286474","https://openalex.org/W2155298532","https://openalex.org/W2164278908","https://openalex.org/W2342702273","https://openalex.org/W2478103054","https://openalex.org/W2605148848","https://openalex.org/W2620135797","https://openalex.org/W2953361807","https://openalex.org/W4235051201"],"related_works":["https://openalex.org/W2620135797","https://openalex.org/W2157804335","https://openalex.org/W94985153","https://openalex.org/W3091676838","https://openalex.org/W113983621","https://openalex.org/W583010969","https://openalex.org/W2044401046","https://openalex.org/W2159885413","https://openalex.org/W2793829156","https://openalex.org/W2542836086","https://openalex.org/W2006098630","https://openalex.org/W2024933578","https://openalex.org/W2775776780","https://openalex.org/W3212373925","https://openalex.org/W3001986788","https://openalex.org/W3123277272","https://openalex.org/W2946582835","https://openalex.org/W2185915549","https://openalex.org/W2126563300","https://openalex.org/W3088625734"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}