{"id":"https://openalex.org/W4403535036","doi":"https://doi.org/10.1109/sibgrapi62404.2024.10716300","title":"Interactive Ground-Truth-Free Image Selection for FLIM Segmentation Encoders","display_name":"Interactive Ground-Truth-Free Image Selection for FLIM Segmentation Encoders","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4403535036","doi":"https://doi.org/10.1109/sibgrapi62404.2024.10716300"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi62404.2024.10716300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi62404.2024.10716300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003748418","display_name":"Matheus Abrantes Cerqueira","orcid":"https://orcid.org/0000-0003-3655-3435"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Matheus A. Cerqueira","raw_affiliation_strings":["Institute of Computing, University of Campinas,Campinas,S\u00e3o Paulo,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas,Campinas,S\u00e3o Paulo,Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011956420","display_name":"F Sprenger","orcid":"https://orcid.org/0000-0002-1631-3517"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fl\u00e1via Sprenger","raw_affiliation_strings":["Hospital de Clínicas, Universidade Federal do Paraná,Curitiba,Paran\u00e1,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital de Clínicas, Universidade Federal do Paraná,Curitiba,Paran\u00e1,Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006834232","display_name":"Bernardo Corr\u00eaa de Almeida Teixeira","orcid":"https://orcid.org/0000-0003-4769-6562"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bernardo C. A. Teixeira","raw_affiliation_strings":["Hospital de Clínicas, Universidade Federal do Paraná,Curitiba,Paran\u00e1,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital de Clínicas, Universidade Federal do Paraná,Curitiba,Paran\u00e1,Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070629635","display_name":"Silvio Jamil F. Guimar\u00e3es","orcid":"https://orcid.org/0000-0001-8522-2056"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvio Jamil F. Guimar\u00e3es","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais,Computer Science Department,Belo Horizonte,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais,Computer Science Department,Belo Horizonte,Brazil","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015267493","display_name":"Alexandre X. Falc\u00e3o","orcid":"https://orcid.org/0000-0002-2914-5380"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre X. Falc\u00e3o","raw_affiliation_strings":["Institute of Computing, University of Campinas,Campinas,S\u00e3o Paulo,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas,Campinas,S\u00e3o Paulo,Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55956557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"109","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9879000186920166,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9879000186920166,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9818000197410583,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/ground-truth","display_name":"Ground truth","score":0.7765135765075684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6988950967788696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6894849538803101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6784490942955017},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5613270401954651},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.559485137462616},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4992644786834717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49199768900871277},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47541624307632446}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7765135765075684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6988950967788696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6894849538803101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6784490942955017},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5613270401954651},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.559485137462616},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4992644786834717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49199768900871277},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47541624307632446},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi62404.2024.10716300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi62404.2024.10716300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2750714283","https://openalex.org/W2981118382","https://openalex.org/W3037032032","https://openalex.org/W3041297595","https://openalex.org/W3048128316","https://openalex.org/W3080132074","https://openalex.org/W3104128335","https://openalex.org/W3192495122","https://openalex.org/W3202452289","https://openalex.org/W3213108243","https://openalex.org/W4226458380","https://openalex.org/W4292289324","https://openalex.org/W4292964483","https://openalex.org/W4323309585","https://openalex.org/W4381896405","https://openalex.org/W6869312054"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W4390516098","https://openalex.org/W2090985514","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W1997160662","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Deep":[0],"Learning":[1,26],"has":[2],"shown":[3],"impressive":[4],"results":[5,212],"in":[6,42,59],"computer":[7],"vision":[8],"tasks":[9],"at":[10],"the":[11,47,55,70,78,89,97,142,156,159,178,182,188,195],"cost":[12],"of":[13,22,62,72,117],"becoming":[14],"increasingly":[15],"extensive":[16],"and":[17,81,94,203,218],"requiring":[18],"a":[19,32,63,104,129,146,164],"voluminous":[20],"amount":[21],"labeled":[23],"images.":[24,113],"Feature":[25],"from":[27,51],"Image":[28],"Markers":[29],"(FLIM)":[30],"is":[31,84,120],"method":[33,105,131,150,197,206],"to":[34,121,136,158,172,192],"build":[35],"convolutional":[36],"encoders":[37,139],"with":[38,145],"minimal":[39],"user":[40,56,90,176],"effort":[41],"image":[43,82,180],"annotation.":[44,210],"FLIM":[45,138],"estimates":[46],"encoder's":[48],"filters":[49],"directly":[50],"markers":[52],"drawn":[53],"by":[54,87,102,127],"(scribbles,":[57],"clicks)":[58],"significant":[60],"regions":[61],"few":[64,74],"representative":[65,134],"images":[66,75,93,135,153],"(e.g.,":[67],"9).":[68],"However,":[69],"selection":[71,83,202],"those":[73],"significantly":[76],"impacts":[77],"model's":[79],"performance,":[80],"mainly":[85],"addressed":[86],"either":[88],"inspecting":[91],"all":[92],"subjectively":[95],"selecting":[96],"most":[98],"relevant":[99],"ones":[100],"or":[101],"using":[103,163],"that":[106,167],"requires":[107],"pixel-wise":[108,209],"annotation":[109],"(ground-truth)":[110],"for":[111,132,215],"recommending":[112,133],"The":[114,175],"main":[115],"goal":[116],"our":[118,193],"work":[119],"make":[122],"this":[123],"task":[124],"less":[125],"subjective":[126],"presenting":[128],"ground-truth-free":[130],"train":[137],"while":[140],"guiding":[141],"user's":[143,189],"choice":[144],"visual":[147],"explanation.":[148],"Our":[149],"suggests":[151],"new":[152],"based":[154,207],"on":[155,208],"distance":[157],"previously":[160],"selected":[161],"images,":[162],"proposed":[165,196],"descriptor":[166],"generates":[168],"different":[169],"patterns":[170],"according":[171],"filter":[173],"attention.":[174],"selects":[177],"next":[179],"among":[181],"suggested":[183],"ones,":[184],"which":[185],"repeats":[186],"until":[187],"satisfaction.":[190],"According":[191],"experiments,":[194],"can":[198],"outperform":[199],"expert":[200],"manual":[201],"an":[204],"interactive":[205],"These":[211],"are":[213],"demonstrated":[214],"brain":[216],"tumor":[217],"gastrointestinal":[219],"parasite":[220],"segmentation.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}