{"id":"https://openalex.org/W3167078478","doi":"https://doi.org/10.23919/eusipco54536.2021.9616329","title":"Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images","display_name":"Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3167078478","doi":"https://doi.org/10.23919/eusipco54536.2021.9616329","mag":"3167078478"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616329","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616329","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.00373","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5095091774","display_name":"Juul van Boxtel","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Juul Van Boxtel","raw_affiliation_strings":["Eindhoven University of Technology,Department of Biomedical Engineering,Eindhoven,The Netherlands","Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Biomedical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068710526","display_name":"Vincent Vousten","orcid":"https://orcid.org/0000-0002-6550-7633"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Vincent Vousten","raw_affiliation_strings":["Eindhoven University of Technology,Department of Biomedical Engineering,Eindhoven,The Netherlands","Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Biomedical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057583165","display_name":"Josien P. W. Pluim","orcid":"https://orcid.org/0000-0001-7327-9178"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Josien Pluim","raw_affiliation_strings":["Eindhoven University of Technology,Department of Biomedical Engineering,Eindhoven,The Netherlands","Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Biomedical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037092603","display_name":"Nastaran Mohammadian Rad","orcid":"https://orcid.org/0000-0003-3068-4127"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nastaran Mohammadian Rad","raw_affiliation_strings":["Eindhoven University of Technology,Department of Biomedical Engineering,Eindhoven,The Netherlands","Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Department of Biomedical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5095091774"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":5.1765,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9591195,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1246","last_page":"1250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10189","display_name":"Anesthesia and Pain Management","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10189","display_name":"Anesthesia and Pain Management","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10868","display_name":"Soft Robotics and Applications","score":0.9714999794960022,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9623000025749207,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.790942370891571},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7489864826202393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7012811303138733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6920142769813538},{"id":"https://openalex.org/keywords/brachial-plexus","display_name":"Brachial plexus","score":0.5901390314102173},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5726560354232788},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.551053524017334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5358404517173767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5052526593208313},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4621127247810364},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4465027451515198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3688119053840637},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2582317292690277},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.18512314558029175},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.1422387659549713}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.790942370891571},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7489864826202393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7012811303138733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6920142769813538},{"id":"https://openalex.org/C2781151446","wikidata":"https://www.wikidata.org/wiki/Q846961","display_name":"Brachial plexus","level":2,"score":0.5901390314102173},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5726560354232788},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.551053524017334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5358404517173767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5052526593208313},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4621127247810364},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4465027451515198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3688119053840637},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2582317292690277},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.18512314558029175},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.1422387659549713}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616329","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616329","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.00373","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.00373","pdf_url":"https://arxiv.org/pdf/2106.00373","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/cd26a766-1399-4b19-89de-2a084c432648","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/cd26a766-1399-4b19-89de-2a084c432648","pdf_url":"https://pure.tue.nl/ws/files/385926291/Hybrid_Deep_Neural_Network_for_Brachial_Plexus.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"van Boxtel, J, Vousten, V, Pluim, J & Rad, N M 2021, Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images. in 29th European Signal Processing Conference, EUSIPCO 2021., 9616329, Institute of Electrical and Electronics Engineers, pp. 1246-1250, 29th European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland, 23/08/21. https://doi.org/10.23919/EUSIPCO54536.2021.9616329","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/146fe9bb-76fa-47e0-a69f-76e35f4475b8","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/146fe9bb-76fa-47e0-a69f-76e35f4475b8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"STARTPAGE=1246;ENDPAGE=1250;TITLE=None","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.00373","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.00373","pdf_url":"https://arxiv.org/pdf/2106.00373","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2026780889","https://openalex.org/W2075987890","https://openalex.org/W2168745915","https://openalex.org/W2557283755","https://openalex.org/W2617267541","https://openalex.org/W2703616258","https://openalex.org/W2794667930","https://openalex.org/W2888728157","https://openalex.org/W2889685514","https://openalex.org/W2940800638","https://openalex.org/W2970007801","https://openalex.org/W2994814135","https://openalex.org/W3008824089","https://openalex.org/W3194758190","https://openalex.org/W4229977739"],"related_works":["https://openalex.org/W2414849884","https://openalex.org/W3158928214","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Ultrasound-guided":[0],"regional":[1],"anesthesia":[2,7],"(UGRA)":[3],"can":[4,17,58],"replace":[5],"general":[6],"(GA),":[8],"improving":[9],"pain":[10],"control":[11],"and":[12,51,63],"recovery":[13],"time.":[14],"This":[15],"method":[16],"be":[18,59],"applied":[19],"on":[20],"the":[21,31,66,107,110,122,129,135],"brachial":[22],"plexus":[23],"(BP)":[24],"after":[25],"clavicular":[26],"surgeries.":[27],"However,":[28],"identification":[29,62],"of":[30,65,79],"BP":[32,67,90,111],"from":[33],"ultrasound":[34,94],"(US)":[35],"images":[36,108],"is":[37,99,119],"difficult,":[38],"even":[39],"for":[40,61,121],"trained":[41],"professionals.":[42],"To":[43],"address":[44],"this":[45,71],"problem,":[46],"convolutional":[47],"neural":[48,55],"networks":[49,56],"(CNNs)":[50],"more":[52],"advanced":[53],"deep":[54],"(DNNs)":[57],"used":[60,120],"segmentation":[64,86,136,141],"nerve":[68,91],"region.":[69,112],"In":[70],"paper,":[72],"we":[73],"propose":[74],"a":[75,80,85,102,114,139],"hybrid":[76,131],"model":[77,82,87,98,118,132],"consisting":[78],"classification":[81],"followed":[83],"by":[84],"to":[88,104],"segment":[89],"regions":[92],"in":[93],"images.":[95],"A":[96],"CNN":[97],"employed":[100],"as":[101],"classifier":[103],"precisely":[105],"select":[106],"with":[109],"Then,":[113],"U-net":[115],"or":[116],"M-net":[117],"segmentation.":[123],"Our":[124],"experimental":[125],"results":[126],"indicate":[127],"that":[128],"proposed":[130],"significantly":[133],"improves":[134],"performance":[137],"over":[138],"single":[140],"model.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}