{"id":"https://openalex.org/W2806940272","doi":"https://doi.org/10.1109/isbi.2018.8363615","title":"Deep neural networks for data association in particle tracking","display_name":"Deep neural networks for data association in particle tracking","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2806940272","doi":"https://doi.org/10.1109/isbi.2018.8363615","mag":"2806940272"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","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/A5100389415","display_name":"Yao Yao","orcid":"https://orcid.org/0000-0001-9671-3248"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Yao Yao","raw_affiliation_strings":["Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, Rotterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, Rotterdam, the Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026507016","display_name":"Ihor Smal","orcid":"https://orcid.org/0000-0001-7576-7028"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ihor Smal","raw_affiliation_strings":["Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, Rotterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, Rotterdam, the Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023548565","display_name":"Erik Meijering","orcid":"https://orcid.org/0000-0001-8015-8358"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Erik Meijering","raw_affiliation_strings":["Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, Rotterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group Rotterdam, Erasmus University Medical Center, Rotterdam, the Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100389415"],"corresponding_institution_ids":["https://openalex.org/I2801952686"],"apc_list":null,"apc_paid":null,"fwci":5.9277,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96267204,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"458","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9976999759674072,"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/T11897","display_name":"Digital Holography and Microscopy","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7555689811706543},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7199212312698364},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.6803454160690308},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6454298496246338},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6329442262649536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5963307619094849},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5419131517410278},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4732675552368164},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4619735777378082},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4569639563560486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4471191465854645},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.446749746799469},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43155962228775024},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39990824460983276},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10502472519874573},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.08502468466758728},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07952800393104553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555689811706543},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7199212312698364},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.6803454160690308},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6454298496246338},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6329442262649536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5963307619094849},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5419131517410278},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4732675552368164},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4619735777378082},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4569639563560486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4471191465854645},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.446749746799469},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43155962228775024},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39990824460983276},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10502472519874573},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.08502468466758728},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07952800393104553},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2018.8363615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"},{"id":"pmh:eur:oai:pure.eur.nl:publications/ccd15d9c-410c-448f-85d7-f9052f568ddc","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/ccd15d9c-410c-448f-85d7-f9052f568ddc","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Symposium on Biomedical Imaging, 458 - 461","raw_type":"info:eu-repo/semantics/bookpart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1931278930","https://openalex.org/W1985928875","https://openalex.org/W2046033161","https://openalex.org/W2057296715","https://openalex.org/W2095705004","https://openalex.org/W2098979973","https://openalex.org/W2103706175","https://openalex.org/W2105916176","https://openalex.org/W2117397690","https://openalex.org/W2269649163","https://openalex.org/W2345010043","https://openalex.org/W2470394683","https://openalex.org/W2550458994","https://openalex.org/W2592929672","https://openalex.org/W2599317975","https://openalex.org/W2611322940","https://openalex.org/W2743374906","https://openalex.org/W2962778460","https://openalex.org/W2963063317","https://openalex.org/W2964015640","https://openalex.org/W6631782140","https://openalex.org/W6674330103","https://openalex.org/W6703780166","https://openalex.org/W6720898849"],"related_works":["https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W4302986566","https://openalex.org/W1968585197","https://openalex.org/W2135362996","https://openalex.org/W2150578674","https://openalex.org/W877199042","https://openalex.org/W4247544095","https://openalex.org/W2535707089","https://openalex.org/W2122155275"],"abstract_inverted_index":{"An":[0],"essential":[1],"first":[2],"step":[3],"towards":[4],"understanding":[5],"intracellular":[6],"dynamic":[7],"processes":[8],"using":[9],"live-cell":[10],"time-lapse":[11],"microscopy":[12],"imaging":[13],"is":[14,34],"to":[15,35,89,122,129,143,161],"extract":[16],"accurate":[17,37],"trajectories":[18,125],"of":[19,27,31,134],"all":[20],"relevant":[21],"particles":[22],"in":[23],"the":[24,28,113,130,153],"images.":[25],"One":[26],"key":[29],"aspects":[30],"this":[32,48,118],"task":[33],"make":[36],"associations":[38],"between":[39],"particle":[40,66,93,110,149],"detections":[41],"across":[42],"time":[43],"frames.":[44],"State-of-the-art":[45],"methods":[46,147],"for":[47,77,92,148],"purpose":[49],"often":[50],"have":[51],"many":[52],"user":[53],"parameters,":[54],"sometimes":[55],"even":[56],"without":[57],"a":[58,86,104],"clear":[59],"biophysical":[60],"meaning,":[61],"and/or":[62],"they":[63],"use":[64],"explicit":[65],"motion":[67],"models":[68],"that":[69,108,138,155],"may":[70],"not":[71,158],"reflect":[72],"reality,":[73],"making":[74],"them":[75],"unfavorable":[76],"non-expert":[78],"users":[79,160],"or":[80],"specific":[81],"applications.":[82],"Here":[83],"we":[84,102],"present":[85],"novel":[87],"approach":[88],"data":[90,145],"association":[91,146],"tracking":[94],"applications":[95],"based":[96,116],"on":[97,117],"deep":[98],"neural":[99,106],"networks.":[100],"Specifically,":[101],"propose":[103],"recurrent":[105],"network":[107],"learns":[109],"behavior":[111],"from":[112,126],"data,":[114],"and":[115],"it":[119,156],"determines":[120],"how":[121],"best":[123],"extend":[124],"one":[127],"frame":[128],"next.":[131],"The":[132],"results":[133],"preliminary":[135],"experiments":[136],"indicate":[137],"our":[139],"method":[140],"performs":[141],"comparable":[142],"state-of-the-art":[144],"tracking,":[150],"but":[151],"with":[152],"advantage":[154],"does":[157],"require":[159],"tune":[162],"any":[163],"parameters.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}