{"id":"https://openalex.org/W7126027977","doi":"https://doi.org/10.1109/bibm66473.2025.11356689","title":"EEG-VL: Integrating Visual Features with Large Language Models for Automated Seizure Detection","display_name":"EEG-VL: Integrating Visual Features with Large Language Models for Automated Seizure Detection","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126027977","doi":"https://doi.org/10.1109/bibm66473.2025.11356689"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5104035702","display_name":"Zi Liang","orcid":"https://orcid.org/0009-0003-1418-9537"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zi Liang","raw_affiliation_strings":["NetEase Media Technology (Beijing),Beijing,China"],"affiliations":[{"raw_affiliation_string":"NetEase Media Technology (Beijing),Beijing,China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424729","display_name":"Peng Hu","orcid":"https://orcid.org/0000-0002-4962-643X"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Hu","raw_affiliation_strings":["NetEase Media Technology (Beijing),Beijing,China"],"affiliations":[{"raw_affiliation_string":"NetEase Media Technology (Beijing),Beijing,China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124182130","display_name":"Lian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Li","raw_affiliation_strings":["NetEase Media Technology (Beijing),Beijing,China"],"affiliations":[{"raw_affiliation_string":"NetEase Media Technology (Beijing),Beijing,China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124245499","display_name":"Zebang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebang Cheng","raw_affiliation_strings":["NetEase Media Technology (Beijing),Beijing,China"],"affiliations":[{"raw_affiliation_string":"NetEase Media Technology (Beijing),Beijing,China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101337692","display_name":"Yisu Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisu Dong","raw_affiliation_strings":["NetEase Media Technology (Beijing),Beijing,China"],"affiliations":[{"raw_affiliation_string":"NetEase Media Technology (Beijing),Beijing,China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101337691","display_name":"Haibo He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo He","raw_affiliation_strings":["NetEase Media Technology (Beijing),Beijing,China"],"affiliations":[{"raw_affiliation_string":"NetEase Media Technology (Beijing),Beijing,China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124244925","display_name":"Qiang Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I2801228662","display_name":"Peking Union Medical College Hospital","ror":"https://ror.org/04jztag35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801228662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Lu","raw_affiliation_strings":["Peking Union Medical College Hospital,Department of Neurology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking Union Medical College Hospital,Department of Neurology,Beijing,China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I2801228662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124236660","display_name":"Nan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I2801228662","display_name":"Peking Union Medical College Hospital","ror":"https://ror.org/04jztag35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801228662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Lin","raw_affiliation_strings":["Peking Union Medical College Hospital,Department of Neurology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking Union Medical College Hospital,Department of Neurology,Beijing,China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I2801228662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5104035702"],"corresponding_institution_ids":["https://openalex.org/I4210091137"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7409728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4620","last_page":"4627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9363999962806702,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9363999962806702,"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":0.008299999870359898,"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/T10094","display_name":"Epilepsy research and treatment","score":0.007799999788403511,"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/electroencephalography","display_name":"Electroencephalography","score":0.5475000143051147},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5196999907493591},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.48899999260902405},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4596000015735626},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.43849998712539673},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.42160001397132874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37209999561309814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098999857902527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383000016212463},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5475000143051147},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5196999907493591},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.48899999260902405},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.444599986076355},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.43849998712539673},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3937000036239624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2005791255","https://openalex.org/W2047243927","https://openalex.org/W2115295545","https://openalex.org/W2142181855","https://openalex.org/W2345279893","https://openalex.org/W2549100242","https://openalex.org/W2559463885","https://openalex.org/W2911761011","https://openalex.org/W2917160625","https://openalex.org/W2995459561","https://openalex.org/W3110770815","https://openalex.org/W3112695512","https://openalex.org/W4292264206","https://openalex.org/W4388191637","https://openalex.org/W4388674297","https://openalex.org/W4401567885","https://openalex.org/W4403713271","https://openalex.org/W4406260093","https://openalex.org/W4406261921","https://openalex.org/W4412429470","https://openalex.org/W4415795657"],"related_works":[],"abstract_inverted_index":{"The":[0],"increasing":[1],"demand":[2],"for":[3,10,190],"accurate":[4],"EEG-based":[5,196],"epileptic":[6],"seizure":[7,70,128,197],"detection":[8],"calls":[9],"more":[11],"sophisticated":[12],"and":[13,31,61,93,146,164,176,193],"semantically":[14],"informed":[15],"methodologies.":[16],"Traditional":[17],"approaches":[18],"often":[19],"struggle":[20],"to":[21,68,79],"capture":[22],"the":[23,96,104,112,122,144,183,186],"complex":[24],"spatiotemporal":[25],"patterns":[26,60],"inherent":[27],"in":[28,40,127],"EEG":[29,56,85],"signals":[30,57],"typically":[32],"lack":[33],"high-level":[34],"contextual":[35],"understanding,":[36],"limiting":[37],"their":[38],"applicability":[39],"real-world":[41],"clinical":[42],"settings.":[43],"In":[44],"this":[45],"study,":[46],"we":[47,130],"propose":[48],"EEG-VL,":[49],"a":[50,73,132],"novel":[51],"visionlanguage":[52],"framework":[53],"that":[54,150],"treats":[55],"as":[58],"visual":[59,82],"integrates":[62],"them":[63],"with":[64,111],"large":[65,117],"language":[66,98,118],"models":[67],"improve":[69],"detection.":[71,198],"Specifically,":[72],"pretrained":[74],"EfficientNet":[75],"encoder":[76],"is":[77],"used":[78],"extract":[80],"abstract":[81],"features":[83],"from":[84],"representations,":[86],"which":[87],"are":[88],"embedded":[89],"into":[90],"structured":[91],"prompts":[92],"processed":[94],"by":[95,173],"Qwen":[97],"model.":[99],"This":[100],"design":[101],"synergistically":[102],"combines":[103],"spatial":[105],"modeling":[106],"capabilities":[107],"of":[108,116,162,167,185],"convolutional":[109],"networks":[110],"semantic":[113],"reasoning":[114],"strengths":[115],"models.":[119],"To":[120],"address":[121],"class":[123],"imbalance":[124],"commonly":[125],"present":[126],"datasets,":[129],"adopt":[131],"logit":[133],"adjustment":[134],"strategy":[135],"based":[136],"on":[137,143],"label":[138],"distribution":[139],"priors.":[140],"Extensive":[141],"experiments":[142],"TUSZ":[145],"CHB-MIT":[147],"datasets":[148],"demonstrate":[149],"EEG-VL":[151],"achieves":[152],"state-of-the-art":[153],"performance.":[154],"On":[155],"TUSZ,":[156],"our":[157],"model":[158],"attains":[159],"an":[160,165],"AUPRC":[161],"0.7599":[163],"AUROC":[166],"0.9466,":[168],"surpassing":[169],"previous":[170],"best":[171],"results":[172],"8.19":[174],"%":[175],"0.80":[177],"%,":[178],"respectively.":[179],"These":[180],"findings":[181],"underscore":[182],"potential":[184],"proposed":[187],"vision-language":[188],"paradigm":[189],"robust,":[191],"scalable,":[192],"clinically":[194],"applicable":[195]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}