{"id":"https://openalex.org/W2810102417","doi":"https://doi.org/10.1109/isspit.2017.8388623","title":"S-rep model for fundus image analysis","display_name":"S-rep model for fundus image analysis","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2810102417","doi":"https://doi.org/10.1109/isspit.2017.8388623","mag":"2810102417"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2017.8388623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2017.8388623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5034672297","display_name":"Francesco Calimeri","orcid":"https://orcid.org/0000-0002-0866-0834"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Calimeri","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Calabria, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Calabria, Rende, CS, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051075222","display_name":"Claudio Starnile","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","FR"],"is_corresponding":false,"raw_author_name":"Claudio Starnile","raw_affiliation_strings":["CREATIS; CNRS UMR5220; INSERM U1044, Universit\u00e9 de Lyon 1, INSA-Lyon, Department of Electrical Engineering (ESAT), STADIUS, KULeuven, Leuven, Belgium","CNRS UMR5220","CREATIS","INSERM U1044, Universit\u00e9 de Lyon 1, INSA-Lyon, Department of Electrical Engineering (ESAT), STADIUS, KULeuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CREATIS; CNRS UMR5220; INSERM U1044, Universit\u00e9 de Lyon 1, INSA-Lyon, Department of Electrical Engineering (ESAT), STADIUS, KULeuven, Leuven, Belgium","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I4210138704","https://openalex.org/I48430043"]},{"raw_affiliation_string":"CNRS UMR5220","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210138704"]},{"raw_affiliation_string":"CREATIS","institution_ids":["https://openalex.org/I4210138704"]},{"raw_affiliation_string":"INSERM U1044, Universit\u00e9 de Lyon 1, INSA-Lyon, Department of Electrical Engineering (ESAT), STADIUS, KULeuven, Leuven, Belgium","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I154526488","https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035960493","display_name":"Luca Surace","orcid":null},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Surace","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Calabria, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Calabria, Rende, CS, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3049778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"078","last_page":"082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10250","display_name":"Glaucoma and retinal disorders","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.7810871005058289},{"id":"https://openalex.org/keywords/rotation-formalisms-in-three-dimensions","display_name":"Rotation formalisms in three dimensions","score":0.7563888430595398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374547719955444},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.5838645696640015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5639742016792297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4758581519126892},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44513756036758423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40911567211151123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15470507740974426},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.07906872034072876},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07799351215362549},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06600388884544373}],"concepts":[{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.7810871005058289},{"id":"https://openalex.org/C171018156","wikidata":"https://www.wikidata.org/wiki/Q7370306","display_name":"Rotation formalisms in three dimensions","level":2,"score":0.7563888430595398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374547719955444},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.5838645696640015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5639742016792297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4758581519126892},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44513756036758423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40911567211151123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15470507740974426},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.07906872034072876},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07799351215362549},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06600388884544373},{"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/isspit.2017.8388623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2017.8388623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/W77022496","https://openalex.org/W97281150","https://openalex.org/W118981789","https://openalex.org/W1524970834","https://openalex.org/W1995904975","https://openalex.org/W2000328536","https://openalex.org/W2016512676","https://openalex.org/W2021904310","https://openalex.org/W2030861714","https://openalex.org/W2031674734","https://openalex.org/W2066682071","https://openalex.org/W2078659958","https://openalex.org/W2107455488","https://openalex.org/W2137015106","https://openalex.org/W2412773002","https://openalex.org/W3201588390"],"related_works":["https://openalex.org/W57206970","https://openalex.org/W3196191855","https://openalex.org/W4235091896","https://openalex.org/W2185981755","https://openalex.org/W2023896637","https://openalex.org/W2498253392","https://openalex.org/W2996527951","https://openalex.org/W2121924470","https://openalex.org/W1034204177","https://openalex.org/W4244481131"],"abstract_inverted_index":{"It":[0],"is":[1,26,147,159],"already":[2],"known":[3],"that":[4,32,81],"some":[5],"features":[6],"of":[7,36,131,174],"fundus":[8,55,71,122],"images":[9,56],"are":[10,114],"significantly":[11],"altered":[12],"in":[13,54,121,134],"subjects":[14],"suffering":[15],"from":[16],"certain":[17],"pathologies;":[18],"indeed,":[19],"by":[20,74,137],"proper":[21],"observing":[22],"the":[23,34,83,100,129,139,172,175],"alterations":[24,53],"it":[25,146],"possible":[27,148],"to":[28,65,86,92,116,126,143,149],"obtain":[29],"important":[30],"biomarkers":[31],"help":[33],"diagnosis":[35],"those":[37,97],"pathologies.":[38],"To":[39],"this":[40,60],"aim,":[41],"we":[42,62,89],"introduce":[43],"a":[44,76],"new":[45],"specific":[46,151],"tool":[47],"for":[48,70],"detecting":[49],"and":[50,169],"monitoring":[51],"vessels":[52,119],"over":[57,162,166],"time.":[58],"In":[59],"work,":[61],"show":[63],"how":[64,91],"extend":[66],"an":[67],"existing":[68],"protocol":[69],"image":[72],"analysis":[73,95],"introducing":[75],"skeletal":[77],"representations":[78],"(S-Rep)":[79],"model":[80,98],"represents":[82],"blood":[84,118],"vessel":[85],"analyze.":[87],"Furthermore,":[88],"describe":[90],"perform":[93],"statistical":[94],"on":[96],"using":[99],"composite":[101],"principal":[102,140],"nested":[103],"spheres":[104],"(CPNS)":[105],"framework.":[106],"S-Rep":[107],"formally":[108],"describes":[109],"quasi-Tube":[110],"geometry":[111],"objects,":[112],"which":[113],"suitable":[115],"represent":[117],"structures":[120,136],"images;":[123],"CPNS":[124],"allows":[125],"statistically":[127],"discover":[128],"presence":[130],"longitudinal":[132,155],"changes":[133],"these":[135,144],"analyzing":[138],"modes.":[141],"Thanks":[142],"formalisms":[145],"detect":[150],"regions":[152],"featuring":[153],"significant":[154],"variations.":[156],"Our":[157],"method":[158],"experimentally":[160],"validated":[161],"simulated":[163],"data":[164],"generated":[165],"real":[167],"images,":[168],"results":[170],"prove":[171],"viability":[173],"proposed":[176],"method.":[177]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}