{"id":"https://openalex.org/W2964226462","doi":"https://doi.org/10.1007/978-3-030-00931-1_21","title":"Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)","display_name":"Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2964226462","doi":"https://doi.org/10.1007/978-3-030-00931-1_21","mag":"2964226462"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-00931-1_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00931-1_21","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/A5058749129","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0002-9592-0867"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["The University of Georgia, Athens, GA, 30605, USA"],"affiliations":[{"raw_affiliation_string":"The University of Georgia, Athens, GA, 30605, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331094","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-9851-6376"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["MGH/BWH Center for Clinical Data Science, Boston, MA, 02115, USA"],"affiliations":[{"raw_affiliation_string":"MGH/BWH Center for Clinical Data Science, Boston, MA, 02115, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101426602","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-2022-5309"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["The University of Georgia, Athens, GA, 30605, USA"],"affiliations":[{"raw_affiliation_string":"The University of Georgia, Athens, GA, 30605, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080583315","display_name":"Shijie Zhao","orcid":"https://orcid.org/0000-0001-9102-5294"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Zhao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi\u2019an, 710072, Sha\u2019anxi, China","Northwestern Polytechnical University, Xi'an, 710072, Sha'anxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi\u2019an, 710072, Sha\u2019anxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, 710072, Sha'anxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085136297","display_name":"Milad Makkie","orcid":"https://orcid.org/0000-0002-4783-9124"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milad Makkie","raw_affiliation_strings":["The University of Georgia, Athens, GA, 30605, USA"],"affiliations":[{"raw_affiliation_string":"The University of Georgia, Athens, GA, 30605, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660677","display_name":"Mo Zhang","orcid":"https://orcid.org/0000-0001-5514-232X"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mo Zhang","raw_affiliation_strings":["Peking University, Beijing, 100080, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, 100080, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058429770","display_name":"Quanzheng Li","orcid":"https://orcid.org/0000-0002-9651-5820"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"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":"Quanzheng Li","raw_affiliation_strings":["Laboratory for Biomedical Image Analysis, Beijing Institute of Big Data Research, Beijing, 100871, China","MGH/BWH Center for Clinical Data Science, Boston, MA, 02115, USA","Peking University, Beijing, 100080, China"],"affiliations":[{"raw_affiliation_string":"Laboratory for Biomedical Image Analysis, Beijing Institute of Big Data Research, Beijing, 100871, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"MGH/BWH Center for Clinical Data Science, Boston, MA, 02115, USA","institution_ids":[]},{"raw_affiliation_string":"Peking University, Beijing, 100080, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100647156","display_name":"Tianming Liu","orcid":"https://orcid.org/0000-0002-8132-9048"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianming Liu","raw_affiliation_strings":["The University of Georgia, Athens, GA, 30605, USA"],"affiliations":[{"raw_affiliation_string":"The University of Georgia, Athens, GA, 30605, USA","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5058749129"],"corresponding_institution_ids":["https://openalex.org/I165733156"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":15.7716,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.99239423,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9997000098228455,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9943000078201294,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.8598268032073975},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.699316143989563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6149184703826904},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.515031099319458},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4663518965244293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4647810459136963},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.44330763816833496},{"id":"https://openalex.org/keywords/default-mode-network","display_name":"Default mode network","score":0.4135093092918396},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.4062678813934326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3604475259780884},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14307048916816711}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598268032073975},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.699316143989563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6149184703826904},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.515031099319458},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4663518965244293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4647810459136963},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.44330763816833496},{"id":"https://openalex.org/C141516989","wikidata":"https://www.wikidata.org/wiki/Q1182555","display_name":"Default mode network","level":3,"score":0.4135093092918396},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.4062678813934326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3604475259780884},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14307048916816711},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-00931-1_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00931-1_21","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1983407432","https://openalex.org/W2003739479","https://openalex.org/W2013228103","https://openalex.org/W2017798485","https://openalex.org/W2071608556","https://openalex.org/W2079450984","https://openalex.org/W2116799974","https://openalex.org/W2147252463","https://openalex.org/W2592929672","https://openalex.org/W2750477048","https://openalex.org/W2791691005","https://openalex.org/W2937940522"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W2035068594","https://openalex.org/W4225593417","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W2979593753","https://openalex.org/W2598004201"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
