{"id":"https://openalex.org/W2920773390","doi":"https://doi.org/10.1109/tmi.2019.2902073","title":"Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery Using Diffusion Tractography and Convolutional Neural Networks","display_name":"Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery Using Diffusion Tractography and Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-02-27","ids":{"openalex":"https://openalex.org/W2920773390","doi":"https://doi.org/10.1109/tmi.2019.2902073","mag":"2920773390","pmid":"https://pubmed.ncbi.nlm.nih.gov/30835220"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2019.2902073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2902073","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9016495","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101434844","display_name":"Haotian Xu","orcid":"https://orcid.org/0000-0003-3193-8432"},"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":"Haotian Xu","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, 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":["Department of Computer Science, Wayne State University, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, MI, 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, Children\u2019s Hospital of Michigan, Detroit, MI, USA","Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Translational Imaging Laboratory, Children\u2019s Hospital of Michigan, Detroit, MI, USA","institution_ids":["https://openalex.org/I4210130818"]},{"raw_affiliation_string":"Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, 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/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":"Nolan O'Hara","raw_affiliation_strings":["Translational Neuroscience Program, Wayne State University, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Translational Neuroscience Program, Wayne State University, Detroit, MI, USA","institution_ids":["https://openalex.org/I185443292"]}]},{"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/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":"Eishi Asano","raw_affiliation_strings":["Translational Imaging Laboratory, Children\u2019s Hospital of Michigan, Detroit, MI, USA","Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Translational Imaging Laboratory, Children\u2019s Hospital of Michigan, Detroit, MI, USA","institution_ids":["https://openalex.org/I4210130818"]},{"raw_affiliation_string":"Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA","institution_ids":["https://openalex.org/I4210130818"]}]},{"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, Children\u2019s Hospital of Michigan, Detroit, MI, USA","Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA"],"affiliations":[{"raw_affiliation_string":"Translational Imaging Laboratory, Children\u2019s Hospital of Michigan, Detroit, MI, USA","institution_ids":["https://openalex.org/I4210130818"]},{"raw_affiliation_string":"Translational Imaging Laboratory, Children's Hospital of Michigan, Detroit, MI, USA","institution_ids":["https://openalex.org/I4210130818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101434844"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":null,"apc_paid":null,"fwci":3.0839,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.91198062,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"38","issue":"8","first_page":"1910","last_page":"1922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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":0.9980999827384949,"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"}},{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9979000091552734,"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":0.8025056719779968},{"id":"https://openalex.org/keywords/epilepsy-surgery","display_name":"Epilepsy surgery","score":0.6071655750274658},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.6004197001457214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5882688164710999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5572065711021423},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4924052953720093},{"id":"https://openalex.org/keywords/tractography","display_name":"Tractography","score":0.46203282475471497},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.44842013716697693},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4014939069747925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35178065299987793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33644813299179077},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2772884964942932},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2513362467288971},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.24705597758293152},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18602299690246582}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8025056719779968},{"id":"https://openalex.org/C2780803581","wikidata":"https://www.wikidata.org/wiki/Q1347108","display_name":"Epilepsy surgery","level":3,"score":0.6071655750274658},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.6004197001457214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882688164710999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5572065711021423},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4924052953720093},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.46203282475471497},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.44842013716697693},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4014939069747925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35178065299987793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33644813299179077},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2772884964942932},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2513362467288971},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.24705597758293152},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18602299690246582}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2019.2902073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2902073","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:30835220","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30835220","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9016495","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9016495","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9016495","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9016495","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1808265029","display_name":null,"funder_award_id":"R01NS064033","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G8401826270","display_name":null,"funder_award_id":"R01NS089659","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G8642208707","display_name":null,"funder_award_id":"CNS-1637312","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1503412826","https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1528119265","https://openalex.org/W1965924390","https://openalex.org/W1968081251","https://openalex.org/W1981176642","https://openalex.org/W1985835346","https://openalex.org/W1988954604","https://openalex.org/W1993003146","https://openalex.org/W1995138343","https://openalex.org/W2001611992","https://openalex.org/W2002793987","https://openalex.org/W2012287176","https://openalex.org/W2029834190","https://openalex.org/W2034252184","https://openalex.org/W2043576412","https://openalex.org/W2047568820","https://openalex.org/W2066244516","https://openalex.org/W2077438821","https://openalex.org/W2080198834","https://openalex.org/W2091910928","https://openalex.org/W2094435366","https://openalex.org/W2095705004","https://openalex.org/W2096243741","https://openalex.org/W2106096171","https://openalex.org/W2112185786","https://openalex.org/W2112796928","https://openalex.org/W2114856020","https://openalex.org/W2120140176","https://openalex.org/W2122410839","https://openalex.org/W2127309075","https://openalex.org/W2136145485","https://openalex.org/W2136573752","https://openalex.org/W2138304538","https://openalex.org/W2139354009","https://openalex.org/W2139925805","https://openalex.org/W2142900310","https://openalex.org/W2145888803","https://openalex.org/W2148605740","https://openalex.org/W2157749870","https://openalex.org/W2157931324","https://openalex.org/W2158459641","https://openalex.org/W2160413897","https://openalex.org/W2194775991","https://openalex.org/W2520774990","https://openalex.org/W2551620403","https://openalex.org/W2596538236","https://openalex.org/W2735700022","https://openalex.org/W2794218859","https://openalex.org/W2798772212","https://openalex.org/W2806300630","https://openalex.org/W2808312419","https://openalex.org/W2808875895","https://openalex.org/W2898977629","https://openalex.org/W2899771611","https://openalex.org/W2914069303","https://openalex.org/W2950390549","https://openalex.org/W2963351448","https://openalex.org/W4291246118","https://openalex.org/W6630875275","https://openalex.org/W6674330103","https://openalex.org/W6675659175","https://openalex.org/W6683219995","https://openalex.org/W6726946684","https://openalex.org/W6739155053","https://openalex.org/W6751832575","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W1974052986","https://openalex.org/W4400359433","https://openalex.org/W2488984732","https://openalex.org/W2528560501","https://openalex.org/W363907200","https://openalex.org/W2526824703","https://openalex.org/W177321449","https://openalex.org/W4242489200","https://openalex.org/W2000834694","https://openalex.org/W2124285946"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"recently":[5],"been":[6],"used":[7],"in":[8,119,217],"biomedical":[9],"imaging":[10,29],"applications":[11],"with":[12,61,80,97,107],"great":[13],"success.":[14],"In":[15],"this":[16,157],"paper,":[17],"we":[18,56,100],"investigated":[19],"the":[20,52,120,130,182,188,193,218],"classi?cation":[21],"performance":[22],"of":[23,46,133,156,184],"CNN":[24,59,105,212],"models":[25,79,118],"on":[26,87],"diffusion":[27],"weighted":[28],"(DWI)":[30],"streamlines":[31,88],"de?ned":[32],"by":[33,178],"functional":[34,205],"MRI":[35],"(fMRI)":[36],"and":[37,48,68,71,76,94,109,112,122,151],"electrical":[38],"stimulation":[39],"mapping":[40],"(ESM).":[41],"To":[42],"learn":[43],"a":[44,72,170],"set":[45],"discriminative":[47],"interpretable":[49],"features":[50],"from":[51,90],"extremely":[53],"unbalanced":[54],"dataset,":[55],"evaluated":[57],"different":[58],"architectures":[60],"multiple":[62],"loss":[63,67],"functions":[64],"(e.g.,":[65,225],"focal":[66,98,108],"center":[69],"loss)":[70],"soft":[73,113],"attention":[74,114],"mechanism,":[75],"compared":[77],"our":[78,103],"current":[81],"state-ofthe-art":[82],"methods.":[83],"Through":[84],"extensive":[85],"experiments":[86],"collected":[89],"70":[91,95],"healthy":[92],"children":[93,96],"epilepsy,":[99],"demonstrated":[101],"that":[102],"deep":[104],"model":[106,213],"central":[110],"losses":[111],"outperforms":[115],"all":[116],"existing":[117],"literature":[121],"provides":[123],"clinically":[124],"acceptable":[125],"accuracy":[126],"(73":[127],"-100%)":[128],"for":[129],"objective":[131],"detection":[132],"functionally-important":[134],"white":[135],"matter":[136],"pathways":[137],"including":[138],"ESM":[139],"determined":[140],"eloquent":[141],"areas":[142],"such":[143],"as":[144,169],"primary":[145],"motor,":[146],"aphasia,":[147],"speech":[148],"arrest,":[149],"auditory,":[150],"visual":[152],"functions.":[153],"The":[154,230],"?ndings":[155],"study":[158,208],"encourage":[159],"further":[160],"investigations":[161],"to":[162,200,214],"determine":[163],"if":[164],"DWICNN":[165],"analysis":[166],"can":[167],"serve":[168],"noninvasive":[171],"diagnostic":[172],"tool":[173],"during":[174],"pediatric":[175,219],"presurgical":[176],"planning":[177],"estimating":[179],"not":[180],"only":[181],"location":[183],"essential":[185],"cortices":[186],"at":[187,235],"gyral":[189],"level,":[190],"but":[191],"also":[192],"underlying":[194],"?bers":[195],"connecting":[196],"these":[197],"cortical":[198],"areas,":[199],"minimize":[201],"or":[202],"predict":[203],"postsurgical":[204],"de?cits.":[206],"This":[207],"translates":[209],"an":[210],"advanced":[211],"clinical":[215],"practice":[216],"population":[220],"where":[221],"currently":[222],"available":[223],"approaches":[224],"ESM,":[226],"fMRI)":[227],"are":[228],"suboptimal.":[229],"implementation":[231],"will":[232],"be":[233],"released":[234],"https://github.":[236],"com/HaotianMXu/Brain-?ber-classi?cation-using-CNNs.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}