{"id":"https://openalex.org/W4392255472","doi":"https://doi.org/10.1145/3637732.3637773","title":"A novel fusion mechanism for multimodal neuroimaging of focal cortical dysplasias","display_name":"A novel fusion mechanism for multimodal neuroimaging of focal cortical dysplasias","publication_year":2023,"publication_date":"2023-11-09","ids":{"openalex":"https://openalex.org/W4392255472","doi":"https://doi.org/10.1145/3637732.3637773"},"language":"en","primary_location":{"id":"doi:10.1145/3637732.3637773","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637732.3637773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering","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/A5007201614","display_name":"Yanzhu Lu","orcid":"https://orcid.org/0009-0000-3475-057X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanzhu Lu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0000-3475-057X","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695382","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0002-5164-4792"},"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"]},{"id":"https://openalex.org/I4210130930","display_name":"Peking University First Hospital","ror":"https://ror.org/02z1vqm45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210130930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yu","raw_affiliation_strings":["Pediatric Epilepsy Center, Peking University First Hospital, China"],"raw_orcid":"https://orcid.org/0000-0002-5164-4792","affiliations":[{"raw_affiliation_string":"Pediatric Epilepsy Center, Peking University First Hospital, China","institution_ids":["https://openalex.org/I4210130930","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033239062","display_name":"Lixin Cai","orcid":"https://orcid.org/0000-0001-8231-6428"},"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"]},{"id":"https://openalex.org/I4210130930","display_name":"Peking University First Hospital","ror":"https://ror.org/02z1vqm45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210130930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Cai","raw_affiliation_strings":["Pediatric Epilepsy Center, Peking University First Hospital, China"],"raw_orcid":"https://orcid.org/0000-0001-8231-6428","affiliations":[{"raw_affiliation_string":"Pediatric Epilepsy Center, Peking University First Hospital, China","institution_ids":["https://openalex.org/I4210130930","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Manli Zhang","orcid":"https://orcid.org/0009-0000-6285-7657"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Manli Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0000-6285-7657","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085386009","display_name":"Guixia Kang","orcid":"https://orcid.org/0000-0002-4039-4505"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixia Kang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-4039-4505","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023183004","display_name":"Gongpeng Cao","orcid":"https://orcid.org/0000-0002-6324-9503"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongpeng Cao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-6324-9503","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007201614"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.1193,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52113323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/computer-science","display_name":"Computer science","score":0.7638001441955566},{"id":"https://openalex.org/keywords/cortical-dysplasia","display_name":"Cortical dysplasia","score":0.7451537847518921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.694227933883667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6137860417366028},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5619271993637085},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5145224928855896},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5124607682228088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4985377788543701},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.48440176248550415},{"id":"https://openalex.org/keywords/fluid-attenuated-inversion-recovery","display_name":"Fluid-attenuated inversion recovery","score":0.4835178852081299},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3737809658050537},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.24851587414741516},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.17457017302513123},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15167200565338135},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14789411425590515},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1417919397354126},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08511477708816528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638001441955566},{"id":"https://openalex.org/C2777060296","wikidata":"https://www.wikidata.org/wiki/Q1316942","display_name":"Cortical dysplasia","level":3,"score":0.7451537847518921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.694227933883667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6137860417366028},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5619271993637085},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5145224928855896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5124607682228088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4985377788543701},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.48440176248550415},{"id":"https://openalex.org/C101070640","wikidata":"https://www.wikidata.org/wiki/Q3737215","display_name":"Fluid-attenuated inversion recovery","level":3,"score":0.4835178852081299},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3737809658050537},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.24851587414741516},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.17457017302513123},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15167200565338135},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14789411425590515},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1417919397354126},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08511477708816528},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637732.3637773","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637732.3637773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7814854944","display_name":null,"funder_award_id":"2020XD-A06-1","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1532895022","https://openalex.org/W1554092919","https://openalex.org/W1797398591","https://openalex.org/W1967471947","https://openalex.org/W1974173422","https://openalex.org/W1981276685","https://openalex.org/W2002693366","https://openalex.org/W2067471959","https://openalex.org/W2096695182","https://openalex.org/W2107836788","https://openalex.org/W2752782242","https://openalex.org/W2942812261","https://openalex.org/W2983168987","https://openalex.org/W3087353686","https://openalex.org/W3120468981","https://openalex.org/W3129896098","https://openalex.org/W3132469959","https://openalex.org/W3145620161","https://openalex.org/W3181149587","https://openalex.org/W3199572846","https://openalex.org/W4212774754","https://openalex.org/W6604103938"],"related_works":["https://openalex.org/W2397888002","https://openalex.org/W2356247871","https://openalex.org/W2373716292","https://openalex.org/W2381429000","https://openalex.org/W2364564193","https://openalex.org/W2393352769","https://openalex.org/W2131742827","https://openalex.org/W4389341328","https://openalex.org/W4309923383","https://openalex.org/W2408873457"],"abstract_inverted_index":{"Refractory":[0],"epilepsy":[1],"caused":[2],"by":[3,192],"focal":[4],"cortical":[5],"dysplasia":[6],"(FCD)":[7],"is":[8,60,133],"difficult":[9],"to":[10,62,161,176,205],"observe":[11],"in":[12,18,46,112,143,148,208,221],"imaging,":[13],"which":[14,40,59,211],"brings":[15],"great":[16],"difficulty":[17],"preoperative":[19,222],"lesion":[20,29,223],"localization.":[21,224],"Currently,":[22],"the":[23,42,64,73,79,91,107,115,122,127,137,149,155,163,167,182,194,206,217],"deep-learning":[24],"Neural":[25],"Networks":[26],"for":[27,216],"FCD":[28,74,189],"location":[30],"mainly":[31],"rely":[32],"on":[33,169],"multimodal":[34,67,156,183],"images":[35,68,87,96,157,184],"as":[36,88,160],"MRI":[37],"and":[38,55,71,85,151,172],"PET,":[39,84],"overcomes":[41],"limitation":[43],"of":[44,66,78,101,104,129,154,166,185,196],"information":[45,100,171],"single-modality.":[47],"We":[48],"propose":[49],"a":[50,213],"network":[51],"with":[52,124,188],"double-branch":[53,130],"encoder":[54,117],"MAP-attention":[56,141],"gate":[57],"(DE-MAPGNet),":[58],"able":[61],"improve":[63],"effectiveness":[65],"feature":[69,131],"fusion":[70],"locate":[72],"lesions":[75],"accurately.":[76],"One":[77],"encoding":[80],"branches":[81],"takes":[82],"T1,":[83],"FLAIR":[86],"input,":[89],"while":[90],"other":[92],"receives":[93],"MAP":[94],"post-processed":[95],"that":[97],"contain":[98],"salient":[99],"lesions.":[102],"First":[103],"all,":[105],"since":[106],"abnormal":[108,177],"features":[109,120],"are":[110,203],"various":[111],"different":[113],"modalities,":[114],"dual-branch":[116],"extracts":[118],"targeted":[119],"from":[121],"modality":[123],"gap.":[125],"Secondly,":[126],"integration":[128],"maps":[132],"carried":[134],"out":[135],"at":[136],"skip":[138],"connection.":[139],"The":[140,199],"designed":[142],"this":[144,180],"paper":[145],"can":[146],"weight":[147],"spatial":[150],"channel":[152],"dimensions":[153],"respectively,":[158],"so":[159],"enhance":[162],"filtering":[164],"effect":[165],"model":[168],"redundant":[170],"pay":[173],"more":[174],"attention":[175],"areas.":[178],"In":[179],"paper,":[181],"28":[186],"children":[187],"were":[190],"predicted":[191],"using":[193],"method":[195],"five-fold":[197],"cross-validation.":[198],"final":[200],"prediction":[201],"results":[202],"superior":[204],"state-of-art":[207],"most":[209],"indicators":[210],"has":[212],"reference":[214],"value":[215],"clinical":[218],"assistant":[219],"doctors":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}