{"id":"https://openalex.org/W7147107574","doi":"https://doi.org/10.1117/12.3087915","title":"A 3D neural network with adaptive loss and residual connections for intracochlear potential mapping and electro-anatomical model optimization","display_name":"A 3D neural network with adaptive loss and residual connections for intracochlear potential mapping and electro-anatomical model optimization","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W7147107574","doi":"https://doi.org/10.1117/12.3087915"},"language":"en","primary_location":{"id":"doi:10.1117/12.3087915","doi":"https://doi.org/10.1117/12.3087915","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3087915","pdf_url":null,"source":{"id":"https://openalex.org/S7407086293","display_name":"SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5018879716","display_name":"Minh Quan H. Vu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minh Vu","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008039891","display_name":"Erin L. Bratu","orcid":"https://orcid.org/0000-0001-7388-399X","observed_orcids":["https://orcid.org/0000-0001-7388-399X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erin L. Bratu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000197945","display_name":"Jack H. Noble","orcid":"https://orcid.org/0000-0002-0973-505X","observed_orcids":["https://orcid.org/0000-0002-0973-505X"]},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack H. Noble","raw_affiliation_strings":["Vanderbilt Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. (United States)","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32372215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10334","display_name":"Hearing, Cochlea, Tinnitus, Genetics","score":0.009800000116229057,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"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/T10860","display_name":"Speech and Audio Processing","score":0.006899999920278788,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cochlear-implants","display_name":"cochlear implants","score":0.9369999766349792},{"id":"https://openalex.org/keywords/3d-neural-networks","display_name":"3D neural networks","score":0.8840000033378601},{"id":"https://openalex.org/keywords/skip-connections","display_name":"skip connections","score":0.6740000247955322},{"id":"https://openalex.org/keywords/adaptive-loss-function","display_name":"adaptive loss function","score":0.7760000228881836},{"id":"https://openalex.org/keywords/poisson-equation","display_name":"Poisson equation","score":0.9890000224113464},{"id":"https://openalex.org/keywords/auditory-nerve-stimulation","display_name":"auditory nerve stimulation","score":0.5509999990463257},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.42800000309944153}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5950999855995178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831999778747559},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.57669997215271},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5690000057220459},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4867999851703644},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C2780130748","wikidata":"https://www.wikidata.org/wiki/Q317857","display_name":"Cochlea","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.40950000286102295},{"id":"https://openalex.org/C2780493683","wikidata":"https://www.wikidata.org/wiki/Q16035842","display_name":"Hearing loss","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C2778882171","wikidata":"https://www.wikidata.org/wiki/Q724965","display_name":"Cochlear implant","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31790000200271606},{"id":"https://openalex.org/C2780757810","wikidata":"https://www.wikidata.org/wiki/Q263574","display_name":"Round window","level":3,"score":0.3100999891757965},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3052999973297119},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C198927703","wikidata":"https://www.wikidata.org/wiki/Q4373881","display_name":"Sequential quadratic programming","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2667999863624573},{"id":"https://openalex.org/C2780801066","wikidata":"https://www.wikidata.org/wiki/Q323808","display_name":"Hearing aid","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.3087915","doi":"https://doi.org/10.1117/12.3087915","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3087915","pdf_url":null,"source":{"id":"https://openalex.org/S7407086293","display_name":"SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46810001134872437,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2899283552","https://openalex.org/W3005416111","https://openalex.org/W3089143142","https://openalex.org/W3116724607","https://openalex.org/W3129269645","https://openalex.org/W4220911422","https://openalex.org/W4294699201","https://openalex.org/W4319737519","https://openalex.org/W4383102565"],"related_works":["https://openalex.org/W2625403679","https://openalex.org/W4220911422","https://openalex.org/W3129269645","https://openalex.org/W3209298262","https://openalex.org/W4407573303","https://openalex.org/W2317559695","https://openalex.org/W3129712178","https://openalex.org/W2750813167","https://openalex.org/W1983922419","https://openalex.org/W4380185747"],"abstract_inverted_index":{"Cochlear":[0],"implants":[1],"(CI)":[2],"are":[3,47],"the":[4,10,38,43,85,89,141,149,175,179,219,247,262,267],"standard":[5],"of":[6,12,110,151,254,276],"care":[7],"for":[8,14,42,174,232],"recreating":[9],"sensation":[11],"hearing":[13,20],"individuals":[15],"experiencing":[16],"severe":[17],"to":[18,29,36,191,246,258,273],"profound":[19],"loss.":[21],"CI":[22,208],"user":[23],"experiences":[24],"can":[25],"vary":[26],"greatly":[27],"due":[28],"several":[30,152],"factors,":[31],"which":[32],"necessitate":[33],"robust":[34],"procedures":[35],"determine":[37],"correct":[39],"programming":[40,54,64,230],"settings":[41,46],"device.":[44],"These":[45],"adjusted":[48],"by":[49,92],"audiologists":[50],"through":[51],"multiple":[52],"trial-and-error":[53],"sessions.":[55],"Our":[56,168],"group":[57],"has":[58],"proposed":[59],"an":[60,164,252,274],"image-guided":[61],"cochlea":[62,90],"implant":[63],"technology":[65],"that":[66],"estimates":[67],"auditory":[68],"nerve":[69],"activation":[70],"patterns":[71],"using":[72,129],"patient-specific":[73],"electro-anatomical":[74],"models":[75],"(EAMs).":[76],"A":[77],"key":[78],"bottleneck":[79],"in":[80,223,242],"generating":[81,120],"EAMs":[82],"is":[83],"calculating":[84],"potential":[86,101,125,204],"distribution":[87],"within":[88],"caused":[91],"each":[93],"CI.":[94],"This":[95],"process,":[96],"along":[97],"with":[98,102,182,261],"comparing":[99],"sampled":[100],"CI's":[103],"objective":[104],"measurements,":[105],"requires":[106],"around":[107],"200":[108],"hours":[109],"computation":[111],"time":[112],"(over":[113],"6":[114,271],"days":[115,272],"on":[116],"our":[117,244],"cluster":[118],"system),":[119],"more":[121],"than":[122,178],"30":[123],"000":[124],"maps.":[126],"Previous":[127],"attempts":[128],"3D":[130,153],"neural":[131],"networks":[132],"showed":[133],"promise":[134],"but":[135],"were":[136],"still":[137],"bare-bones":[138],"and":[139,163,196,206],"lacked":[140],"required":[142],"accuracy.":[143],"In":[144],"this":[145,212],"work,":[146],"we":[147,237],"investigated":[148],"application":[150],"network":[154],"modifications,":[155],"including":[156],"a":[157,171,228],"physics-based":[158],"loss":[159],"function,":[160],"residual":[161,187],"connections,":[162],"adaptive":[165],"weight":[166],"map.":[167],"approach":[169],"achieved":[170],"better":[172],"solution":[173],"Poisson":[176],"equation":[177],"previous":[180],"attempt,":[181],"2.56":[183],"*":[184,193],"10-4":[185,194],"\u03bcA2":[186],"current":[188],"error":[189,202],"compared":[190,257],"10.78":[192],"\u03bcA2,":[195],"demonstrated":[197],"significantly":[198],"improved":[199],"mean":[200],"squared":[201],"across":[203],"maps":[205],"near":[207],"electrode":[209],"sites.":[210],"Refining":[211],"method":[213],"could":[214],"also":[215,238],"help":[216],"us":[217],"bypass":[218],"exhaustive":[220],"grid":[221],"search":[222],"EAM":[224],"generation,":[225],"advancing":[226],"toward":[227],"seamless":[229],"experience":[231],"patients.":[233],"To":[234],"validate":[235],"this,":[236],"present":[239],"preliminary":[240],"results":[241],"applying":[243],"model":[245],"downstream":[248],"optimization":[249],"task,":[250],"achieving":[251],"RMSE":[253],"1.75":[255],"mV":[256,260],"0.96":[259],"traditional":[263],"model,":[264],"while":[265],"reducing":[266],"runtime":[268],"from":[269],"approximately":[270],"average":[275],"4.7":[277],"hours.":[278]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-04-02T00:00:00"}
