{"id":"https://openalex.org/W3026361694","doi":"https://doi.org/10.1109/isbi45749.2020.9098712","title":"Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data","display_name":"Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3026361694","doi":"https://doi.org/10.1109/isbi45749.2020.9098712","mag":"3026361694"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","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/A5052250597","display_name":"Soumyanil Banerjee","orcid":"https://orcid.org/0000-0003-4165-8637"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Soumyanil Banerjee","raw_affiliation_strings":["Wayne State University, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112047383","display_name":"Ming Dong","orcid":"https://orcid.org/0000-0003-4197-7267"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Dong","raw_affiliation_strings":["Wayne State University, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784269","display_name":"Min\u2010Hee Lee","orcid":"https://orcid.org/0000-0002-1932-9557"},"institutions":[{"id":"https://openalex.org/I4210130818","display_name":"Children's Hospital of Michigan","ror":"https://ror.org/0429x9p85","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800326109","https://openalex.org/I4210130818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min-Hee Lee","raw_affiliation_strings":["Translational Imaging Laboratory, Childrens Hospital of Michigan, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Translational Imaging Laboratory, Childrens Hospital of Michigan, Detroit, USA","institution_ids":["https://openalex.org/I4210130818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075056863","display_name":"Nolan O'Hara","orcid":"https://orcid.org/0000-0002-0722-4184"},"institutions":[{"id":"https://openalex.org/I4210130818","display_name":"Children's Hospital of Michigan","ror":"https://ror.org/0429x9p85","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800326109","https://openalex.org/I4210130818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nolan O'Hara","raw_affiliation_strings":["Translational Imaging Laboratory, Childrens Hospital of Michigan, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Translational Imaging Laboratory, Childrens Hospital of Michigan, Detroit, USA","institution_ids":["https://openalex.org/I4210130818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001566787","display_name":"Eishi Asano","orcid":"https://orcid.org/0000-0001-8391-4067"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eishi Asano","raw_affiliation_strings":["Wayne State University, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Detroit, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040649127","display_name":"Jeong\u2010Won Jeong","orcid":"https://orcid.org/0000-0003-4498-0939"},"institutions":[{"id":"https://openalex.org/I4210130818","display_name":"Children's Hospital of Michigan","ror":"https://ror.org/0429x9p85","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800326109","https://openalex.org/I4210130818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeong-Won Jeong","raw_affiliation_strings":["Translational Imaging Laboratory, Childrens Hospital of Michigan, Detroit, USA"],"affiliations":[{"raw_affiliation_string":"Translational Imaging Laboratory, Childrens Hospital of Michigan, Detroit, USA","institution_ids":["https://openalex.org/I4210130818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052250597"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61785812,"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":"1680","last_page":"1684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.9916999936103821,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9896000027656555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/receptive-language","display_name":"Receptive language","score":0.7321220636367798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6773129105567932},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6317555904388428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5764954090118408},{"id":"https://openalex.org/keywords/connectome","display_name":"Connectome","score":0.5680840015411377},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.5633416175842285},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5444523096084595},{"id":"https://openalex.org/keywords/tractography","display_name":"Tractography","score":0.5307459831237793},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.5159469246864319},{"id":"https://openalex.org/keywords/human-connectome-project","display_name":"Human Connectome Project","score":0.5051468014717102},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43739259243011475},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3915024995803833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32585400342941284},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22464227676391602},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.15820389986038208},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15349081158638},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.14664894342422485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13364660739898682},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08539751172065735}],"concepts":[{"id":"https://openalex.org/C2993924013","wikidata":"https://www.wikidata.org/wiki/Q6486792","display_name":"Receptive language","level":3,"score":0.7321220636367798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773129105567932},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6317555904388428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5764954090118408},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.5680840015411377},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.5633416175842285},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5444523096084595},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.5307459831237793},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.5159469246864319},{"id":"https://openalex.org/C97820695","wikidata":"https://www.wikidata.org/wiki/Q387749","display_name":"Human Connectome Project","level":3,"score":0.5051468014717102},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43739259243011475},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3915024995803833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32585400342941284},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22464227676391602},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.15820389986038208},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15349081158638},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.14664894342422485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13364660739898682},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08539751172065735},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8500000238418579,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1241365043","https://openalex.org/W2014481632","https://openalex.org/W2054210960","https://openalex.org/W2087064370","https://openalex.org/W2136145485","https://openalex.org/W2140808203","https://openalex.org/W2148143831","https://openalex.org/W2526511911","https://openalex.org/W2547061234","https://openalex.org/W2744872353","https://openalex.org/W2779752303","https://openalex.org/W2803224943","https://openalex.org/W2805516822","https://openalex.org/W2911660647","https://openalex.org/W2962858109","https://openalex.org/W2963840672","https://openalex.org/W2963907629","https://openalex.org/W4210257598","https://openalex.org/W4240214118","https://openalex.org/W6738893770"],"related_works":["https://openalex.org/W4401571656","https://openalex.org/W4400359433","https://openalex.org/W1965402735","https://openalex.org/W4380353731","https://openalex.org/W1480657811","https://openalex.org/W2931360818","https://openalex.org/W2972411153","https://openalex.org/W2014292780","https://openalex.org/W3200763141","https://openalex.org/W2058085357"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,45,48,55],"new":[4],"deep":[5],"learning":[6],"model":[7,43,88],"using":[8],"relational":[9],"reasoning":[10],"with":[11,37,59,103],"diffusion-weighted":[12],"imaging":[13],"(DWI)":[14],"data.":[15],"We":[16],"investigate":[17],"how":[18],"effectively":[19],"and":[20,30,54,110,114],"comprehensively":[21],"DWI":[22],"tractography-based":[23],"connectome":[24],"predicts":[25],"the":[26,60,65,74,86],"impairment":[27],"of":[28,47,67,106],"expressive":[29,113],"receptive":[31,115],"language":[32,96,116],"ability":[33],"in":[34,73,112],"individual":[35],"children":[36,83],"focal":[38],"epilepsy":[39],"(FE).":[40],"The":[41,77],"proposed":[42,87],"constitutes":[44],"combination":[46],"dilated":[49],"convolutional":[50],"neural":[51],"network":[52,57],"(CNN)":[53],"relation":[56],"(RN),":[58],"latter":[61],"being":[62],"applied":[63],"to":[64,94,108],"dependencies":[66],"axonal":[68],"connections":[69],"across":[70],"cortical":[71],"regions":[72],"whole":[75],"brain.":[76],"presented":[78],"results":[79],"from":[80],"51":[81],"FE":[82],"demonstrate":[84],"that":[85],"outperforms":[89],"other":[90],"existing":[91],"state-of-the-art":[92],"algorithms":[93],"predict":[95],"abilities":[97],"without":[98],"depending":[99],"on":[100],"connec-tome":[101],"densities,":[102],"average":[104],"improvement":[105],"up":[107],"96.2%":[109],"83.8%":[111],"prediction,":[117],"respectively.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}