{"id":"https://openalex.org/W4379468639","doi":"https://doi.org/10.1109/access.2023.3283148","title":"Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network","display_name":"Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379468639","doi":"https://doi.org/10.1109/access.2023.3283148"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3283148","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3283148","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10144321.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10144321.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102519944","display_name":"Xinjie Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie Shen","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087093956","display_name":"Jiashuang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashuang Huang","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014589017","display_name":"Hengrong Ju","orcid":"https://orcid.org/0000-0001-9894-9844"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengrong Ju","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075600415","display_name":"Yuepeng Chen","orcid":"https://orcid.org/0009-0001-4003-0680"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuepeng Chen","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070871777","display_name":"Tao Yin","orcid":"https://orcid.org/0000-0001-8180-2141"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yin","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069969191"],"corresponding_institution_ids":["https://openalex.org/I199305430"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0844,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86678412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"57071","last_page":"57082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9995999932289124,"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":0.9995999932289124,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.988099992275238,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child 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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7510451078414917},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7181100845336914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6635594964027405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6543858647346497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524189710617065},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.6521888375282288},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5712075233459473},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5513029098510742},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5476821660995483},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5330727696418762},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.4864192008972168},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4785502552986145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.455281138420105},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4154793620109558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26350685954093933},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20189252495765686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18130862712860107},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07949286699295044}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7510451078414917},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7181100845336914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6635594964027405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6543858647346497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524189710617065},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.6521888375282288},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5712075233459473},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5513029098510742},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5476821660995483},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5330727696418762},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.4864192008972168},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4785502552986145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.455281138420105},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4154793620109558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26350685954093933},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20189252495765686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18130862712860107},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07949286699295044},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3283148","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3283148","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10144321.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3a9f8a57bb0e467a9f36e2b58a35a0e2","is_oa":true,"landing_page_url":"https://doaj.org/article/3a9f8a57bb0e467a9f36e2b58a35a0e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 57071-57082 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3283148","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3283148","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10144321.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1560975092","display_name":null,"funder_award_id":"6200612","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1591510878","display_name":null,"funder_award_id":"62006128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1748348137","display_name":null,"funder_award_id":"20191445","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2030376154","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3711735600","display_name":null,"funder_award_id":"61976120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3910829908","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4679026377","display_name":null,"funder_award_id":"BK20191445","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5047251165","display_name":null,"funder_award_id":"61976120","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5830226028","display_name":null,"funder_award_id":"21KJA510004","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5929705022","display_name":null,"funder_award_id":"Grant 61976120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8011240538","display_name":null,"funder_award_id":"62102199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324207","display_name":"Jiangsu Provincial Department of Education","ror":"https://ror.org/059md9404"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379468639.pdf","grobid_xml":"https://content.openalex.org/works/W4379468639.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1811254738","https://openalex.org/W2004758461","https://openalex.org/W2112796928","https://openalex.org/W2137229374","https://openalex.org/W2145287260","https://openalex.org/W2153996202","https://openalex.org/W2274745179","https://openalex.org/W2552208519","https://openalex.org/W2553156677","https://openalex.org/W2618530766","https://openalex.org/W2792492450","https://openalex.org/W2886568032","https://openalex.org/W2888748349","https://openalex.org/W2920964209","https://openalex.org/W2931401614","https://openalex.org/W2963814162","https://openalex.org/W2964335732","https://openalex.org/W2964423614","https://openalex.org/W2971058209","https://openalex.org/W2981408674","https://openalex.org/W2981555962","https://openalex.org/W2995313551","https://openalex.org/W2999319035","https://openalex.org/W3005600289","https://openalex.org/W3007648700","https://openalex.org/W3012303644","https://openalex.org/W3014752841","https://openalex.org/W3016088911","https://openalex.org/W3027117989","https://openalex.org/W3036052796","https://openalex.org/W3049057746","https://openalex.org/W3088782011","https://openalex.org/W3092783643","https://openalex.org/W3105616927","https://openalex.org/W3137989279","https://openalex.org/W3169345397","https://openalex.org/W3172943905","https://openalex.org/W3175593095","https://openalex.org/W3200122826","https://openalex.org/W4214822143","https://openalex.org/W4214837572","https://openalex.org/W4308293019","https://openalex.org/W6638742206"],"related_works":["https://openalex.org/W357196361","https://openalex.org/W2027314909","https://openalex.org/W3109425891","https://openalex.org/W3096637473","https://openalex.org/W1036938216","https://openalex.org/W2113714434","https://openalex.org/W2377792686","https://openalex.org/W4200439127","https://openalex.org/W829658220","https://openalex.org/W2946560178"],"abstract_inverted_index":{"Brain":[0],"age":[1,16,29,52,63],"prediction":[2,64],"is":[3,73,130,145,167],"important":[4],"for":[5],"understanding":[6],"brain":[7,15,28,51,62],"development":[8,30,41],"and":[9,34,93,105,125,151,173,182,196],"aging.":[10],"Currently,":[11],"researchers":[12],"can":[13],"predict":[14],"using":[17,53],"resting-state":[18],"functional":[19],"MRI":[20],"(rs-fMRI)":[21],"data.":[22],"However,":[23],"there":[24],"are":[25,120,180],"differences":[26],"in":[27,75],"among":[31],"different":[32,40,43,118],"subjects,":[33],"the":[35,67,98,123,134,137,143,153,157,164,178,201],"same":[36],"subject":[37],"also":[38],"has":[39,191],"at":[42],"ages.":[44],"So":[45],"far,":[46],"how":[47],"to":[48,132],"accurately":[49],"estimate":[50],"rs-fMRI":[54],"efficiently":[55],"remains":[56],"a":[57,61,83,107,126,148],"challenging":[58],"problem.":[59],"Therefore,":[60],"model":[65,179],"with":[66,163],"similarity":[68,108,127,135,166],"metric":[69],"convolutional":[70,85],"neural":[71,86],"network":[72,144],"proposed":[74],"this":[76,79,189],"paper.":[77],"Specifically,":[78],"paper":[80],"first":[81],"introduces":[82],"siamese":[84],"network,":[87,124],"which":[88],"includes":[89],"convolution,":[90],"batch":[91],"normalization,":[92],"pooling":[94],"steps":[95],"simultaneously":[96],"learns":[97],"features":[99],"of":[100,103,114,117,140,156,160,206],"two":[101,115,138],"groups":[102,116,139,159],"rs-fMRI,":[104],"designs":[106],"measurement":[109],"network.":[110],"Subsequently,":[111],"fMRI":[112],"images":[113],"subjects":[119],"input":[121],"into":[122],"metirc":[128],"module":[129],"designed":[131],"calculate":[133],"between":[136],"images.":[141],"Then":[142],"optimized":[146],"by":[147],"loss":[149],"function,":[150],"finally,":[152],"average":[154],"value":[155],"three":[158],"sample":[161],"labels":[162],"greatest":[165],"taken.":[168],"The":[169],"absolute":[170,194],"mean":[171,193],"error":[172,195],"correlation":[174,198],"coefficients":[175],"obtained":[176],"from":[177],"5.337":[181],"0.6279,":[183],"respectively.":[184],"Experimental":[185],"results":[186],"show":[187],"that":[188],"method":[190],"low":[192],"high":[197],"coefficient":[199],"on":[200],"longitudinal":[202],"imaging":[203],"data":[204],"set":[205],"Southwest":[207],"University.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
