{"id":"https://openalex.org/W4403212253","doi":"https://doi.org/10.1109/cibcb58642.2024.10702135","title":"Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification","display_name":"Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification","publication_year":2024,"publication_date":"2024-08-27","ids":{"openalex":"https://openalex.org/W4403212253","doi":"https://doi.org/10.1109/cibcb58642.2024.10702135"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb58642.2024.10702135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb58642.2024.10702135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5010928454","display_name":"Ngoc Do","orcid":null},"institutions":[{"id":"https://openalex.org/I119942284","display_name":"Missouri State University","ror":"https://ror.org/01d2sez20","country_code":"US","type":"education","lineage":["https://openalex.org/I119942284"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ngoc Do","raw_affiliation_strings":["Missouri State University,Dept. of Mathematics,Springfield,MO,USA"],"affiliations":[{"raw_affiliation_string":"Missouri State University,Dept. of Mathematics,Springfield,MO,USA","institution_ids":["https://openalex.org/I119942284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046843425","display_name":"Daniel B. Hier","orcid":"https://orcid.org/0000-0002-6179-0793"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel B. Hier","raw_affiliation_strings":["Missouri University of Science & Technology,Kummer Institute,Rolla,MO,USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science & Technology,Kummer Institute,Rolla,MO,USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040578359","display_name":"Tayo Obafemi-Ajayi","orcid":"https://orcid.org/0000-0002-0155-9733"},"institutions":[{"id":"https://openalex.org/I119942284","display_name":"Missouri State University","ror":"https://ror.org/01d2sez20","country_code":"US","type":"education","lineage":["https://openalex.org/I119942284"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tayo Obafemi-Ajayi","raw_affiliation_strings":["Missouri State University,Engineering Program,Springfield,MO,USA"],"affiliations":[{"raw_affiliation_string":"Missouri State University,Engineering Program,Springfield,MO,USA","institution_ids":["https://openalex.org/I119942284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010928454"],"corresponding_institution_ids":["https://openalex.org/I119942284"],"apc_list":null,"apc_paid":null,"fwci":0.1955,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48897978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.7529000043869019,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.7529000043869019,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7167999744415283,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.6694999933242798,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/traumatic-brain-injury","display_name":"Traumatic brain injury","score":0.8174309134483337},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.618215799331665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5456186532974243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4264225959777832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3870559632778168},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.286318302154541},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.07120627164840698}],"concepts":[{"id":"https://openalex.org/C2781017439","wikidata":"https://www.wikidata.org/wiki/Q1995526","display_name":"Traumatic brain injury","level":2,"score":0.8174309134483337},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.618215799331665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5456186532974243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4264225959777832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3870559632778168},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.286318302154541},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.07120627164840698}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb58642.2024.10702135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb58642.2024.10702135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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":32,"referenced_works":["https://openalex.org/W1934249711","https://openalex.org/W1966439088","https://openalex.org/W1979056400","https://openalex.org/W2042417788","https://openalex.org/W2080875271","https://openalex.org/W2165698076","https://openalex.org/W2173245751","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2203963179","https://openalex.org/W2204442912","https://openalex.org/W2346062110","https://openalex.org/W2500528961","https://openalex.org/W2621028221","https://openalex.org/W2789827414","https://openalex.org/W2896556344","https://openalex.org/W2963446712","https://openalex.org/W3004868960","https://openalex.org/W3011559848","https://openalex.org/W3035328251","https://openalex.org/W3090516356","https://openalex.org/W3138232064","https://openalex.org/W3144228899","https://openalex.org/W3206233222","https://openalex.org/W4210887471","https://openalex.org/W4213019189","https://openalex.org/W4223977076","https://openalex.org/W4255421341","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6756449149"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"After":[0],"traumatic":[1],"brain":[2],"injury":[3],"(TBI),":[4],"clinicians":[5],"use":[6,19,45],"the":[7,20,24,74,84,97,117,157,161,182],"Glasgow":[8],"Coma":[9],"Scale":[10],"(GCS)":[11],"to":[12,27,44,48,89,142,155],"classify":[13,28],"patients":[14],"by":[15,31,92],"severity":[16,54,134,165,188],"and":[17,23,52,152,169],"radiologists":[18],"Rotterdam":[21],"score":[22,26],"Marshall":[25,53],"CT":[29],"scans":[30],"severity.":[32],"This":[33],"work":[34,115],"investigates":[35],"a":[36,70,104],"viable":[37],"efficient":[38],"low":[39],"cost":[40],"transfer":[41,60],"learning":[42,61],"model":[43,62,76],"MRI":[46,128],"images":[47,129],"predict":[49,143],"GCS,":[50],"Rotterdam,":[51],"class":[55,135,166],"after":[56,136,145],"TBI.":[57,137,146],"The":[58,174],"enhanced":[59],"architecture":[63],"integrates":[64],"multiple":[65,108],"fine-tuning":[66],"steps":[67],"in":[68,79,122,127,163,179,185],"which":[69],"few":[71],"layers":[72],"of":[73,96,119,133,160],"pre-trained":[75],"is":[77,87],"unfrozen":[78],"each":[80],"iteration":[81],"so":[82],"that":[83,130],"neural":[85,110],"network":[86,111,176],"able":[88],"learn":[90],"layer":[91,93],"further":[94],"aspects":[95],"image":[98],"for":[99],"better":[100],"classification.":[101],"By":[102],"conducting":[103],"thorough":[105],"evaluation":[106],"across":[107],"convolutional":[109],"(CNN)":[112],"architectures,":[113],"this":[114],"ascertains":[116],"sensitivity":[118],"CNN":[120],"models":[121,139,162,177,184],"detecting":[123],"anatomical":[124],"changes":[125],"presented":[126],"are":[131],"predictive":[132],"These":[138],"have":[140],"potential":[141],"outcomes":[144],"We":[147],"utilize":[148],"both":[149],"quantitative":[150],"metrics":[151],"qualitative":[153],"analysis":[154],"validate":[156],"clinical":[158],"relevance":[159],"predicting":[164,186],"on":[167],"admission":[168],"outcome":[170],"at":[171],"6":[172],"months.":[173],"residual":[175],"(ResNet152":[178],"particular)":[180],"outperformed":[181],"other":[183],"initial":[187],"class.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}