{"id":"https://openalex.org/W2970266708","doi":"https://doi.org/10.1109/icip.2019.8803721","title":"Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy","display_name":"Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970266708","doi":"https://doi.org/10.1109/icip.2019.8803721","mag":"2970266708"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5090070303","display_name":"Martin Ma\u0161ka","orcid":"https://orcid.org/0000-0003-3544-6494"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Martin Maska","raw_affiliation_strings":["Masaryk University, Brno, Czech Republic","Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Masaryk University, Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]},{"raw_affiliation_string":"Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032101878","display_name":"Tereza Ne\u010dasov\u00e1","orcid":"https://orcid.org/0000-0002-5896-2347"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tereza Necasova","raw_affiliation_strings":["Masaryk University, Brno, Czech Republic","Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Masaryk University, Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]},{"raw_affiliation_string":"Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012028018","display_name":"David Wiesner","orcid":"https://orcid.org/0000-0002-6720-6287"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"David Wiesner","raw_affiliation_strings":["Masaryk University, Brno, Czech Republic","Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Masaryk University, Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]},{"raw_affiliation_string":"Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103010056","display_name":"Dmitry V. Sorokin","orcid":"https://orcid.org/0000-0003-3299-2545"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry V. Sorokin","raw_affiliation_strings":["Lomonosov Moscow State University, Moscow, Russia","Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 119991 Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Laboratory of Mathematical Methods of Image Processing, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, 119991 Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026871569","display_name":"Igor Peterl\u00edk","orcid":"https://orcid.org/0000-0002-6178-625X"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Igor Peterlik","raw_affiliation_strings":["Masaryk University, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Masaryk University, Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043030464","display_name":"Vladim\u00edr Ulman","orcid":"https://orcid.org/0000-0002-4270-7982"},"institutions":[{"id":"https://openalex.org/I4210159854","display_name":"Max Planck Institute of Molecular Cell Biology and Genetics","ror":"https://ror.org/05b8d3w18","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210159854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vladimir Ulman","raw_affiliation_strings":["Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany","Max Planck Institute of Molecular Cell Biology and Genetics; 01307; Dresden; Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany","institution_ids":["https://openalex.org/I4210159854"]},{"raw_affiliation_string":"Max Planck Institute of Molecular Cell Biology and Genetics; 01307; Dresden; Germany","institution_ids":["https://openalex.org/I4210159854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060576521","display_name":"David Svoboda","orcid":"https://orcid.org/0000-0001-6074-0164"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"David Svoboda","raw_affiliation_strings":["Masaryk University, Brno, Czech Republic","Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Masaryk University, Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]},{"raw_affiliation_string":"Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic","institution_ids":["https://openalex.org/I21449261"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5090070303"],"corresponding_institution_ids":["https://openalex.org/I21449261"],"apc_list":null,"apc_paid":null,"fwci":0.7966,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82686721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"819","last_page":"823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/filopodia","display_name":"Filopodia","score":0.803882896900177},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7443450093269348},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7259025573730469},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7006846070289612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6611533164978027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.568416953086853},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5407640337944031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5237560272216797},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45910313725471497},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4467700123786926},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4200300872325897},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.4138692319393158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35354548692703247},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17150327563285828},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13455674052238464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12664249539375305},{"id":"https://openalex.org/keywords/cell","display_name":"Cell","score":0.09945216774940491},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09013590216636658}],"concepts":[{"id":"https://openalex.org/C90301020","wikidata":"https://www.wikidata.org/wiki/Q14859810","display_name":"Filopodia","level":3,"score":0.803882896900177},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7443450093269348},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7259025573730469},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7006846070289612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611533164978027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.568416953086853},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5407640337944031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5237560272216797},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45910313725471497},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4467700123786926},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4200300872325897},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.4138692319393158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35354548692703247},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17150327563285828},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13455674052238464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12664249539375305},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.09945216774940491},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09013590216636658},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2019.8803721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.mpg.de:item_3235934","is_oa":false,"landing_page_url":"http://hdl.handle.net/21.11116/0000-0006-7D04-A","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Image Processing : proceedings : September 22-25, 2019, Taipei International Convention Center (TICC), Taipei, Taiwan","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W894880941","https://openalex.org/W1626095167","https://openalex.org/W2019062120","https://openalex.org/W2038634187","https://openalex.org/W2068120669","https://openalex.org/W2070008638","https://openalex.org/W2100138660","https://openalex.org/W2103706175","https://openalex.org/W2118821583","https://openalex.org/W2125505095","https://openalex.org/W2126653712","https://openalex.org/W2167731812","https://openalex.org/W2180911321","https://openalex.org/W2203744901","https://openalex.org/W2274160915","https://openalex.org/W2504742193","https://openalex.org/W2561201074","https://openalex.org/W2589402573","https://openalex.org/W2740709913","https://openalex.org/W2758694956","https://openalex.org/W2806064577","https://openalex.org/W2808696452","https://openalex.org/W2895705408","https://openalex.org/W2919115771","https://openalex.org/W2950414472"],"related_works":["https://openalex.org/W2079531124","https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W2159066190","https://openalex.org/W2739874619","https://openalex.org/W2242380345","https://openalex.org/W2117933325","https://openalex.org/W2110230079","https://openalex.org/W2117664411","https://openalex.org/W1721780360"],"abstract_inverted_index":{"Development,":[0],"parameter":[1],"tuning,":[2],"and":[3,43,73,87,99],"objective":[4],"benchmarking":[5],"of":[6,15,38,54,62,85,97,109,131],"bioimage":[7,17,133],"analysis":[8],"workflows":[9],"heavily":[10],"rely":[11],"on":[12],"the":[13,50,78,83,95,107],"availability":[14],"diverse":[16],"datasets":[18],"accompanied":[19],"by":[20],"reference":[21],"annotations.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26,92],"present":[27],"a":[28,125],"new":[29],"benchmark":[30],"dataset,":[31],"FiloData3D,":[32,91],"designed":[33],"for":[34,124],"in-depth":[35],"performance":[36],"assessments":[37],"fully":[39,57,120],"3D":[40,59,121],"filopodium":[41],"segmentation":[42,86],"tracking":[44,88],"algorithms":[45],"that":[46,81,94,113],"emerged":[47],"recently":[48],"in":[49,106,115,128],"field.":[51],"It":[52],"consists":[53],"180":[55],"synthetic,":[56],"annotated,":[58],"time-lapse":[60],"sequences":[61],"single":[63],"lung":[64],"cancer":[65],"cells,":[66],"combining":[67],"different":[68],"cell":[69],"shapes,":[70],"signal-to-noise":[71],"ratios,":[72,75],"anisotropy":[74],"which":[76],"are":[77,103],"well-known":[79],"factors":[80],"influence":[82],"quality":[84],"results.":[89],"Using":[90],"show":[93],"number":[96],"filopodia":[98],"their":[100],"lengths":[101],"extracted":[102],"significantly":[104],"underestimated":[105],"case":[108],"traditional":[110],"2D":[111],"protocols":[112],"prevail":[114],"daily":[116],"practice":[117],"compared":[118],"to":[119],"measurements,":[122],"calling":[123],"procedural":[126],"change":[127],"filopodial":[129],"analyses":[130],"3D+t":[132],"data.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
