{"id":"https://openalex.org/W3005459243","doi":"https://doi.org/10.1109/bibm47256.2019.8983271","title":"Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform","display_name":"Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3005459243","doi":"https://doi.org/10.1109/bibm47256.2019.8983271","mag":"3005459243"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8983271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983271","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 Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.09471","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Alberto Santamaria-Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alberto Santamaria-Pang","raw_affiliation_strings":["GE Research,Artificial Intelligence,Niskayuna,USA"],"affiliations":[{"raw_affiliation_string":"GE Research,Artificial Intelligence,Niskayuna,USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anup Sood","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anup Sood","raw_affiliation_strings":["GE Research,Biology and Applied Physics,Niskayuna,USA"],"affiliations":[{"raw_affiliation_string":"GE Research,Biology and Applied Physics,Niskayuna,USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dan Meyer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Meyer","raw_affiliation_strings":["GE Research,Biology and Applied Physics,Niskayuna,USA"],"affiliations":[{"raw_affiliation_string":"GE Research,Biology and Applied Physics,Niskayuna,USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Aritra Chowdhury","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aritra Chowdhury","raw_affiliation_strings":["GE Research,Artificial Intelligence,Niskayuna,USA"],"affiliations":[{"raw_affiliation_string":"GE Research,Artificial Intelligence,Niskayuna,USA","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fiona Ginty","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fiona Ginty","raw_affiliation_strings":["GE Research,Biology and Applied Physics,Niskayuna,USA"],"affiliations":[{"raw_affiliation_string":"GE Research,Biology and Applied Physics,Niskayuna,USA","institution_ids":["https://openalex.org/I4210134512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210134512"],"apc_list":null,"apc_paid":null,"fwci":0.5054,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79948006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2750","last_page":"2756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9965999722480774,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm47256.2019.8983271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983271","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 Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2007.09471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.09471","pdf_url":"https://arxiv.org/pdf/2007.09471","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":"","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2007.09471","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.09471","pdf_url":"https://arxiv.org/pdf/2007.09471","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1479753158","https://openalex.org/W1491420844","https://openalex.org/W1589277632","https://openalex.org/W1921588489","https://openalex.org/W2002089932","https://openalex.org/W2010366750","https://openalex.org/W2012442592","https://openalex.org/W2015255108","https://openalex.org/W2027091505","https://openalex.org/W2032127709","https://openalex.org/W2048827329","https://openalex.org/W2058888459","https://openalex.org/W2084783417","https://openalex.org/W2098140880","https://openalex.org/W2139453310","https://openalex.org/W2155688623","https://openalex.org/W2193066333","https://openalex.org/W2461549837","https://openalex.org/W6680257577"],"related_works":[],"abstract_inverted_index":{"We":[0,127],"present":[1],"a":[2,29,34,78,84,96,119],"method":[3,21,56],"for":[4,123],"automatic":[5],"cell":[6,54,115],"classification":[7,55],"in":[8,26,112,138,144],"tissue":[9,31,148],"samples":[10,82],"using":[11,71],"an":[12,62],"automated":[13,63,103],"training":[14,64,104],"set":[15,65],"from":[16,66,83,101],"multiplexed":[17],"immunofluorescence":[18,37],"images.":[19],"The":[20,53,106],"utilizes":[22],"multiple":[23],"markers":[24],"stained":[25],"situ":[27],"on":[28,33],"single":[30,50,120],"section":[32],"robust":[35],"hyperplex":[36],"platform":[38],"(Cell":[39],"DIVE\u2122,":[40],"GE":[41],"Healthcare)":[42],"that":[43],"provides":[44],"multi-channel":[45],"images":[46],"allowing":[47],"analysis":[48],"at":[49,88],"cell/sub-cellular":[51],"levels.":[52],"consists":[57],"of":[58],"two":[59],"steps:":[60],"first,":[61],"every":[67],"image":[68,90],"is":[69,99],"generated":[70],"marker-to-cell":[72],"staining":[73,110],"information.":[74],"This":[75],"mimics":[76],"how":[77],"pathologist":[79],"would":[80],"select":[81],"very":[85],"large":[86],"cohort":[87],"the":[89,93,102,124,130],"level.":[91],"In":[92],"second":[94],"step,":[95],"probability":[97,121],"model":[98,108,122],"inferred":[100],"set.":[105],"probabilistic":[107],"captures":[109],"patterns":[111],"mutually":[113],"exclusive":[114],"types":[116],"and":[117,140],"builds":[118],"data":[125],"cohort.":[126],"have":[128],"evaluated":[129],"proposed":[131],"approach":[132],"to":[133],"classify:":[134],"i)":[135],"immune":[136],"cells":[137,143],"cancer":[139],"ii)":[141],"brain":[142],"neurological":[145],"degenerative":[146],"diseased":[147],"with":[149],"average":[150],"accuracies":[151],"above":[152],"95%.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-02-14T00:00:00"}
