{"id":"https://openalex.org/W4313327148","doi":"https://doi.org/10.3390/s23010333","title":"Honeycomb Artifact Removal Using Convolutional Neural Network for Fiber Bundle Imaging","display_name":"Honeycomb Artifact Removal Using Convolutional Neural Network for Fiber Bundle Imaging","publication_year":2022,"publication_date":"2022-12-28","ids":{"openalex":"https://openalex.org/W4313327148","doi":"https://doi.org/10.3390/s23010333","pmid":"https://pubmed.ncbi.nlm.nih.gov/36616931"},"language":"en","primary_location":{"id":"doi:10.3390/s23010333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010333","pdf_url":"https://www.mdpi.com/1424-8220/23/1/333/pdf?version=1672230521","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/1/333/pdf?version=1672230521","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064788216","display_name":"Eunchan Kim","orcid":"https://orcid.org/0000-0003-3400-3149"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]},{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunchan Kim","raw_affiliation_strings":["Center for Intelligent and Interactive Robotics, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea","Department of Mechanical Convergence Engineering, Hanyang University, Seoul 04763, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent and Interactive Robotics, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea","institution_ids":["https://openalex.org/I58716616"]},{"raw_affiliation_string":"Department of Mechanical Convergence Engineering, Hanyang University, Seoul 04763, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700501","display_name":"Seonghoon Kim","orcid":"https://orcid.org/0000-0001-9641-5726"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seonghoon Kim","raw_affiliation_strings":["Department of Biological Sciences, Seoul National University, Seoul 03080, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biological Sciences, Seoul National University, Seoul 03080, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002951805","display_name":"Myunghwan Choi","orcid":"https://orcid.org/0000-0002-4235-7003"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myunghwan Choi","raw_affiliation_strings":["Department of Biological Sciences, Seoul National University, Seoul 03080, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biological Sciences, Seoul National University, Seoul 03080, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000423233","display_name":"TaeWon Seo","orcid":"https://orcid.org/0000-0001-9447-7675"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewon Seo","raw_affiliation_strings":["Department of Mechanical Convergence Engineering, Hanyang University, Seoul 04763, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Convergence Engineering, Hanyang University, Seoul 04763, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045866199","display_name":"Sungwook Yang","orcid":"https://orcid.org/0000-0002-9394-5358"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sungwook Yang","raw_affiliation_strings":["Center for Intelligent and Interactive Robotics, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent and Interactive Robotics, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea","institution_ids":["https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045866199"],"corresponding_institution_ids":["https://openalex.org/I58716616"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8157,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73819042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"333","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6854903101921082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6757817268371582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6300589442253113},{"id":"https://openalex.org/keywords/fiber-bundle","display_name":"Fiber bundle","score":0.6013105511665344},{"id":"https://openalex.org/keywords/bundle","display_name":"Bundle","score":0.5744327306747437},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5443716049194336},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49172309041023254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4543135166168213},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44618386030197144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34997475147247314},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1790105402469635}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6854903101921082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757817268371582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6300589442253113},{"id":"https://openalex.org/C146710177","wikidata":"https://www.wikidata.org/wiki/Q1154996","display_name":"Fiber bundle","level":3,"score":0.6013105511665344},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.5744327306747437},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5443716049194336},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49172309041023254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4543135166168213},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44618386030197144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34997475147247314},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1790105402469635},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23010333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010333","pdf_url":"https://www.mdpi.com/1424-8220/23/1/333/pdf?version=1672230521","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36616931","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36616931","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:0912907a8ee34656b476bda3b52979c4","is_oa":true,"landing_page_url":"https://doaj.org/article/0912907a8ee34656b476bda3b52979c4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 1, p 333 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/1/333/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23010333","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 1; Pages: 333","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9824069","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9824069","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23010333","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010333","pdf_url":"https://www.mdpi.com/1424-8220/23/1/333/pdf?version=1672230521","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313327148.pdf","grobid_xml":"https://content.openalex.org/works/W4313327148.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2009888895","https://openalex.org/W2040889796","https://openalex.org/W2099143822","https://openalex.org/W2117539524","https://openalex.org/W2120523865","https://openalex.org/W2133665775","https://openalex.org/W2152287982","https://openalex.org/W2275024420","https://openalex.org/W2511599553","https://openalex.org/W2586826037","https://openalex.org/W2606795859","https://openalex.org/W2784479776","https://openalex.org/W2912968599","https://openalex.org/W2941050913","https://openalex.org/W2945061142","https://openalex.org/W2963372104","https://openalex.org/W2997720601","https://openalex.org/W2998959876","https://openalex.org/W4206274262","https://openalex.org/W4308771158"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W2031036731","https://openalex.org/W2326458079","https://openalex.org/W4240564646","https://openalex.org/W3133861977","https://openalex.org/W168697621","https://openalex.org/W2119919461","https://openalex.org/W2141129703","https://openalex.org/W4252043533"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,32,42,73],"new":[3],"deep":[4],"learning":[5,57],"framework":[6],"for":[7,88,103],"removing":[8],"honeycomb":[9,50,81],"artifacts":[10],"yielded":[11],"by":[12,68],"optical":[13],"path":[14],"blocking":[15],"of":[16,49],"cladding":[17],"layers":[18],"in":[19,80],"fiber":[20,34],"bundle":[21,35],"imaging.":[22],"The":[23,47],"proposed":[24],"framework,":[25],"HAR-CNN,":[26],"provides":[27],"an":[28,38],"end-to-end":[29],"mapping":[30],"from":[31],"raw":[33],"image":[36,40,108],"to":[37],"artifact-free":[39],"via":[41],"convolution":[43],"neural":[44],"network":[45,61],"(CNN).":[46],"synthesis":[48],"patterns":[51],"on":[52],"ordinary":[53],"images":[54],"allows":[55],"conveniently":[56],"and":[58,84,106],"validating":[59],"the":[60,63,89],"without":[62],"enormous":[64],"ground":[65],"truth":[66],"collection":[67],"extra":[69],"hardware":[70],"setups.":[71],"As":[72],"result,":[74],"HAR-CNN":[75,100],"shows":[76],"significant":[77],"performance":[78],"improvement":[79],"pattern":[82],"removal":[83],"also":[85],"detailed":[86],"preservation":[87],"1961":[90],"USAF":[91],"chart":[92],"sample,":[93],"compared":[94],"with":[95],"other":[96],"conventional":[97],"methods.":[98],"Finally,":[99],"is":[101],"GPU-accelerated":[102],"real-time":[104],"processing":[105],"enhanced":[107],"mosaicking":[109],"performance.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}