{"id":"https://openalex.org/W2097065435","doi":"https://doi.org/10.1109/isbi.2008.4541221","title":"Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images","display_name":"Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2097065435","doi":"https://doi.org/10.1109/isbi.2008.4541221","mag":"2097065435"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2008.4541221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4541221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.7916/d84173st","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018312938","display_name":"Noah Lee","orcid":"https://orcid.org/0009-0005-5470-3291"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Noah Lee","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NY, USA","Dept. of Biomed. Eng., Columbia Univ., New York, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Columbia Univ., New York, NY#TAB#","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090489079","display_name":"Andrew F. Laine","orcid":"https://orcid.org/0000-0003-3797-0628"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew F. Laine","raw_affiliation_strings":["Department of Biomedical Engineering, Columbia University, NY, USA","Dept. of Biomed. Eng., Columbia Univ., New York, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Columbia Univ., New York, NY#TAB#","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062044015","display_name":"Ted Smith","orcid":"https://orcid.org/0000-0003-2804-4294"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodore R. Smith","raw_affiliation_strings":["Department of Ophthalmology, Columbia University, NY, USA","Department of Ophthalmology, Columbia University, New York, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Ophthalmology, Columbia University, New York, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018312938"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.7409,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.75689425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1215","last_page":"1218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996999979019165,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.989300012588501,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7411925792694092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7335976362228394},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5737239122390747},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5081329345703125},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.506046712398529},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4470868408679962},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44563955068588257},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4397905766963959},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4278528392314911},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4248577356338501},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4146479368209839},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.41452756524086},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23741188645362854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06211671233177185}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7411925792694092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335976362228394},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5737239122390747},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5081329345703125},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.506046712398529},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4470868408679962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44563955068588257},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4397905766963959},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4278528392314911},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4248577356338501},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4146479368209839},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.41452756524086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23741188645362854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06211671233177185},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2008.4541221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4541221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmh:oai:academiccommons.columbia.edu:10.7916/D84173ST","is_oa":false,"landing_page_url":"https://doi.org/10.7916/D84173ST","pdf_url":null,"source":{"id":"https://openalex.org/S4306402601","display_name":"Columbia Academic Commons (Columbia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78577930","host_organization_name":"Columbia University","host_organization_lineage":["https://openalex.org/I78577930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Articles"},{"id":"doi:10.7916/d84173st","is_oa":true,"landing_page_url":"https://doi.org/10.7916/d84173st","pdf_url":null,"source":{"id":"https://openalex.org/S4306402601","display_name":"Columbia Academic Commons (Columbia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78577930","host_organization_name":"Columbia University","host_organization_lineage":["https://openalex.org/I78577930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.7916/d84173st","is_oa":true,"landing_page_url":"https://doi.org/10.7916/d84173st","pdf_url":null,"source":{"id":"https://openalex.org/S4306402601","display_name":"Columbia Academic Commons (Columbia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78577930","host_organization_name":"Columbia University","host_organization_lineage":["https://openalex.org/I78577930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5899999737739563,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2928598981","display_name":null,"funder_award_id":"EY015520","funder_id":"https://openalex.org/F4320306811","funder_display_name":"Research to Prevent Blindness"},{"id":"https://openalex.org/G4516121784","display_name":null,"funder_award_id":"R01 EY015520","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"},{"id":"https://openalex.org/G6001552131","display_name":null,"funder_award_id":"EY015520","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"}],"funders":[{"id":"https://openalex.org/F4320306811","display_name":"Research to Prevent Blindness","ror":"https://ror.org/04drjs621"},{"id":"https://openalex.org/F4320337350","display_name":"National Eye Institute","ror":"https://ror.org/03wkg3b53"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W43531814","https://openalex.org/W591644047","https://openalex.org/W1485997076","https://openalex.org/W1529840045","https://openalex.org/W1566497823","https://openalex.org/W1579559187","https://openalex.org/W1968439442","https://openalex.org/W1972544340","https://openalex.org/W1994220221","https://openalex.org/W2064173729","https://openalex.org/W2116683971","https://openalex.org/W2120219904","https://openalex.org/W2145087912","https://openalex.org/W2152695155","https://openalex.org/W2155343350","https://openalex.org/W2159955373","https://openalex.org/W2161856360","https://openalex.org/W2167638481","https://openalex.org/W2168020168","https://openalex.org/W2170865122","https://openalex.org/W2400267228","https://openalex.org/W2411046981","https://openalex.org/W2493402454","https://openalex.org/W3214102110","https://openalex.org/W6601775386","https://openalex.org/W6684338786","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2008656436","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W2110230079","https://openalex.org/W1982826852","https://openalex.org/W2613186388","https://openalex.org/W1457719682"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"present":[4,101],"a":[5,48,89],"novel":[6],"approach":[7,69],"for":[8,43],"learning":[9,19,27,46,64],"non-":[10,59],"homogenous":[11,60],"textures":[12],"without":[13],"facing":[14],"the":[15,22,29,67,73,78],"unlearning":[16,74],"problem.":[17],"Our":[18],"method":[20,65],"mimics":[21],"human":[23],"behavior":[24],"of":[25,31,80,96],"selective":[26,45],"in":[28,47,83],"sense":[30],"fast":[32,44],"memory":[33],"renewal.":[34],"We":[35,100],"perform":[36],"probabilistic":[37],"boosting":[38],"and":[39],"structural":[40],"similarity":[41],"clustering":[42],"large":[49],"knowledge":[50],"domain":[51],"acquired":[52],"over":[53],"different":[54],"time":[55],"steps.":[56],"Applied":[57],"to":[58,77,93],"texture":[61,98],"discrimination,":[62],"our":[63],"is":[66,88],"first":[68],"that":[70],"deals":[71],"with":[72],"problem":[75,91],"applied":[76],"task":[79],"drusen":[81],"segmentation":[82],"retinal":[84],"imagery,":[85],"which":[86],"itself":[87],"challenging":[90],"due":[92],"high":[94],"variability":[95],"non-homogenous":[97],"appearance.":[99],"preliminary":[102],"results.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}