{"id":"https://openalex.org/W4414436623","doi":"https://doi.org/10.1016/j.autcon.2025.106538","title":"Bridge inspection using image\u2013point cloud fusion with image filtering, damage detection and 3D registration","display_name":"Bridge inspection using image\u2013point cloud fusion with image filtering, damage detection and 3D registration","publication_year":2025,"publication_date":"2025-09-23","ids":{"openalex":"https://openalex.org/W4414436623","doi":"https://doi.org/10.1016/j.autcon.2025.106538"},"language":"en","primary_location":{"id":"doi:10.1016/j.autcon.2025.106538","doi":"https://doi.org/10.1016/j.autcon.2025.106538","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.autcon.2025.106538","pdf_url":null,"source":{"id":"https://openalex.org/S172073041","display_name":"Automation in Construction","issn_l":"0926-5805","issn":["0926-5805","1872-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automation in Construction","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.autcon.2025.106538","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032345393","display_name":"Chao Lin","orcid":"https://orcid.org/0000-0002-1517-8392","observed_orcids":["https://orcid.org/0000-0002-1517-8392"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chao Lin","raw_affiliation_strings":["Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1517-8392","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402005","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0002-1187-4761","observed_orcids":["https://orcid.org/0000-0002-1187-4761"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan","Institute of Engineering Innovation, The University of Tokyo, Tokyo, 113-8656, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1187-4761","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Institute of Engineering Innovation, The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006080958","display_name":"Kenta Itakura","orcid":"https://orcid.org/0000-0001-7259-271X","observed_orcids":["https://orcid.org/0000-0001-7259-271X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenta Itakura","raw_affiliation_strings":["ImVisionLabs Inc., Tokyo, 113-8485, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ImVisionLabs Inc., Tokyo, 113-8485, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118434951","display_name":"Shreejan Maharjan","orcid":"https://orcid.org/0009-0001-1299-8790","observed_orcids":["https://orcid.org/0009-0001-1299-8790"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shreejan Maharjan","raw_affiliation_strings":["Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan"],"raw_orcid":"https://orcid.org/0009-0001-1299-8790","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067730635","display_name":"Pang\u2010jo Chun","orcid":"https://orcid.org/0000-0002-9755-8435","observed_orcids":["https://orcid.org/0000-0002-9755-8435"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Pang-jo Chun","raw_affiliation_strings":["Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan","Institute of Engineering Innovation, The University of Tokyo, Tokyo, 113-8656, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9755-8435","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Institute of Engineering Innovation, The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067730635"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":5490,"currency":"USD","value_usd":5490},"apc_paid":{"value":5490,"currency":"USD","value_usd":5490},"fwci":8.6534,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.98672562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"180","issue":null,"first_page":"106538","last_page":"106538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.4562999904155731,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/bridge-inspection","display_name":"bridge inspection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/image-and-point-cloud-fusion","display_name":"image and point cloud fusion","score":0.8059999942779541},{"id":"https://openalex.org/keywords/damage-detection","display_name":"damage detection","score":0.9330000281333923},{"id":"https://openalex.org/keywords/3d-registration","display_name":"3D registration","score":0.8529999852180481},{"id":"https://openalex.org/keywords/background-filtering","display_name":"background filtering","score":0.7720000147819519},{"id":"https://openalex.org/keywords/lidar","display_name":"LiDAR","score":0.6389999985694885},{"id":"https://openalex.org/keywords/point-cloud-segmentation","display_name":"point cloud segmentation","score":0.9330000281333923},{"id":"https://openalex.org/keywords/3d-visualization","display_name":"3D visualization","score":0.6129999756813049},{"id":"https://openalex.org/keywords/infrastructure-maintenance","display_name":"infrastructure maintenance","score":0.593999981880188}],"concepts":[{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.7766000032424927},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7717999815940857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830999851226807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6687999963760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050999760627747},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5634999871253967},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.47609999775886536},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4731000065803528},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4661000072956085},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4551999866962433},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4498000144958496},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C78087231","wikidata":"https://www.wikidata.org/wiki/Q5156759","display_name":"Composite image filter","level":3,"score":0.32820001244544983},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C146920229","wikidata":"https://www.wikidata.org/wiki/Q2278114","display_name":"Automated X-ray inspection","level":4,"score":0.2930999994277954},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.29120001196861267},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.2736000120639801},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.2628999948501587},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.autcon.2025.106538","doi":"https://doi.org/10.1016/j.autcon.2025.106538","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.autcon.2025.106538","pdf_url":null,"source":{"id":"https://openalex.org/S172073041","display_name":"Automation in Construction","issn_l":"0926-5805","issn":["0926-5805","1872-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automation in Construction","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.5297032","doi":"https://doi.org/10.2139/ssrn.5297032","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.5297032","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"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":"posted-content"}],"best_oa_location":{"id":"doi:10.1016/j.autcon.2025.106538","doi":"https://doi.org/10.1016/j.autcon.2025.106538","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.autcon.2025.106538","pdf_url":null,"source":{"id":"https://openalex.org/S172073041","display_name":"Automation in Construction","issn_l":"0926-5805","issn":["0926-5805","1872-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automation in Construction","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.8970999717712402}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3251538974","display_name":null,"funder_award_id":"202306210048","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G5214763291","display_name":null,"funder_award_id":"JPJ012187","funder_id":"https://openalex.org/F4320317275","funder_display_name":"Public Works Research Institute"},{"id":"https://openalex.org/G5442392465","display_name":"A New AI Method for Bridge Inspection and Diagnosis that Combines CNN with Highly Accurate Damage Detection and Expertises","funder_award_id":"21H01417","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6492680014","display_name":"Remedial measures for river levees against piping-induced breach","funder_award_id":"23H00198","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G864904458","display_name":"Development of Cooperative Operation Control Methods for Construction Machinery Based on Collective Decision-Making Theory","funder_award_id":"23K22831","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320317275","display_name":"Public Works Research Institute","ror":"https://ror.org/04b8j4a33"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320325854","display_name":"Council for Science, Technology and Innovation","ror":"https://ror.org/007tjaq50"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1901129140","https://openalex.org/W1994232949","https://openalex.org/W2151631165","https://openalex.org/W2296719434","https://openalex.org/W2624503621","https://openalex.org/W2942773340","https://openalex.org/W2964309882","https://openalex.org/W3002210514","https://openalex.org/W3022849266","https://openalex.org/W3026226589","https://openalex.org/W3144259467","https://openalex.org/W3168867926","https://openalex.org/W3170544306","https://openalex.org/W3171089419","https://openalex.org/W3177239172","https://openalex.org/W3200041764","https://openalex.org/W3206068048","https://openalex.org/W3207009343","https://openalex.org/W3208474673","https://openalex.org/W3216878544","https://openalex.org/W3216945420","https://openalex.org/W3217580385","https://openalex.org/W4220771488","https://openalex.org/W4304143692","https://openalex.org/W4313650657","https://openalex.org/W4313824417","https://openalex.org/W4327545578","https://openalex.org/W4385246595","https://openalex.org/W4386051124","https://openalex.org/W4387731036","https://openalex.org/W4388602223","https://openalex.org/W4388688962","https://openalex.org/W4388745764","https://openalex.org/W4389496303","https://openalex.org/W4389503415","https://openalex.org/W4389683277","https://openalex.org/W4390628596","https://openalex.org/W4394789249","https://openalex.org/W4394817488","https://openalex.org/W4399301533","https://openalex.org/W4399705843","https://openalex.org/W4399878246","https://openalex.org/W4400268261","https://openalex.org/W4401096488","https://openalex.org/W4401155013","https://openalex.org/W4401869555","https://openalex.org/W4405839419","https://openalex.org/W4406236821","https://openalex.org/W4406299835","https://openalex.org/W4407131418","https://openalex.org/W4407441975","https://openalex.org/W4409697583","https://openalex.org/W4409946672","https://openalex.org/W4410056346","https://openalex.org/W4411987396"],"related_works":["https://openalex.org/W4411344697","https://openalex.org/W4409633335","https://openalex.org/W7134200863","https://openalex.org/W7167426477","https://openalex.org/W4415489373","https://openalex.org/W4313824417","https://openalex.org/W4312760652","https://openalex.org/W7163056771","https://openalex.org/W3197116291","https://openalex.org/W4408398292"],"abstract_inverted_index":{"Complex":[0],"image":[1,31,153],"backgrounds":[2],"often":[3],"compromise":[4],"the":[5,22,91,106,120,123,128],"reliability":[6],"of":[7,122,138,152],"damage":[8,24,47,139],"detection.":[9],"In":[10],"bridge":[11,46,75,107,118,162],"inspection,":[12],"a":[13,26,41,52,64],"further":[14],"challenge":[15],"lies":[16],"in":[17],"accurately":[18],"recording":[19],"and":[20,32,48,57,79,88,102,134,146,154,191,202],"localizing":[21],"detected":[23,98],"onto":[25],"3D":[27,53,66,136,189],"model.":[28,54],"Based":[29],"on":[30,51,105,115,208],"point":[33,155],"cloud":[34,156],"data":[35,157],"(PCD)":[36],"fusion,":[37],"this":[38],"paper":[39],"proposes":[40],"five-step":[42],"methodology":[43,129],"for":[44,161],"detecting":[45],"registering":[49],"it":[50],"High-quality":[55],"images":[56,84,101],"PCD":[58,76,108],"files":[59],"are":[60,169],"simultaneously":[61],"collected":[62],"using":[63,181],"LiDAR":[65],"camera":[67],"with":[68],"their":[69],"relationships":[70],"clearly":[71],"recorded.":[72],"The":[73,185,196],"complete":[74],"is":[77,97,159,179,198],"segmented":[78],"subsequently":[80],"utilized":[81],"to":[82,172,200],"select":[83],"containing":[85],"needed":[86],"components":[87],"filter":[89],"out":[90],"background":[92],"via":[93],"3D-to-2D":[94],"projection.":[95,111],"Damage":[96,176],"from":[99],"background-filtered":[100,182],"then":[103],"registered":[104],"through":[109],"2D-to-3D":[110],"An":[112],"experiment":[113],"conducted":[114],"an":[116],"actual":[117],"validated":[119],"feasibility":[121],"proposed":[124,160],"framework,":[125],"confirming":[126],"that":[127],"not":[130],"only":[131],"produces":[132],"clear":[133],"intuitive":[135,188],"visualizations":[137],"but":[140],"also":[141],"effectively":[142],"supports":[143],"detailed":[144],"inspection":[145,193],"maintenance":[147],"tasks.":[148,194],"\u2022":[149,164,175,184,195],"A":[150],"form":[151],"fusion":[158],"inspection.":[163],"Accurate":[165],"2D\u20133D":[166],"bidirectional":[167],"projections":[168],"achieved":[170],"due":[171],"fixed":[173],"parameters.":[174],"detection":[177],"performance":[178],"improved":[180],"images.":[183],"results":[186],"support":[187],"visualization":[190],"advanced":[192],"system":[197],"straightforward":[199],"operate":[201],"reproduce":[203],"since":[204],"most":[205],"parts":[206],"rely":[207],"standard":[209],"algorithms.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":28}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2025-10-10T00:00:00"}
