{"id":"https://openalex.org/W4386426777","doi":"https://doi.org/10.1109/iccp56744.2023.10233841","title":"Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentation","display_name":"Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentation","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4386426777","doi":"https://doi.org/10.1109/iccp56744.2023.10233841"},"language":"en","primary_location":{"id":"doi:10.1109/iccp56744.2023.10233841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp56744.2023.10233841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Computational Photography (ICCP)","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/A5074384463","display_name":"Alnur Alimanov","orcid":null},"institutions":[{"id":"https://openalex.org/I128277893","display_name":"Bah\u00e7e\u015fehir University","ror":"https://ror.org/00yze4d93","country_code":"TR","type":"education","lineage":["https://openalex.org/I128277893"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Alnur Alimanov","raw_affiliation_strings":["Bahcesehir University,Department of Computer Engineering,Istanbul,Turkey,34349"],"affiliations":[{"raw_affiliation_string":"Bahcesehir University,Department of Computer Engineering,Istanbul,Turkey,34349","institution_ids":["https://openalex.org/I128277893"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033078932","display_name":"Md Baharul Islam","orcid":"https://orcid.org/0000-0002-9928-5776"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Md Baharul Islam","raw_affiliation_strings":["American University of Malta, Bormla,College of Data Science and Engineering,BML 1013,Malta","College of Data Science and Engineering, American University of Malta, Bormla, BML 1013, Malta"],"affiliations":[{"raw_affiliation_string":"American University of Malta, Bormla,College of Data Science and Engineering,BML 1013,Malta","institution_ids":["https://openalex.org/I197854408"]},{"raw_affiliation_string":"College of Data Science and Engineering, American University of Malta, Bormla, BML 1013, Malta","institution_ids":["https://openalex.org/I197854408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074384463"],"corresponding_institution_ids":["https://openalex.org/I128277893"],"apc_list":null,"apc_paid":null,"fwci":3.3117,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92538048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9937000274658203,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9915000200271606,"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/computer-science","display_name":"Computer science","score":0.7561138868331909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7279478907585144},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6398316621780396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5870916843414307},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.4947804808616638},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4856768846511841},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.42917728424072266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7561138868331909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7279478907585144},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6398316621780396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5870916843414307},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.4947804808616638},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4856768846511841},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.42917728424072266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp56744.2023.10233841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp56744.2023.10233841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2033723371","https://openalex.org/W2125188192","https://openalex.org/W2129069237","https://openalex.org/W2133665775","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2761299546","https://openalex.org/W2782364420","https://openalex.org/W2806833334","https://openalex.org/W2891158090","https://openalex.org/W2899663614","https://openalex.org/W2921948732","https://openalex.org/W2927633990","https://openalex.org/W2947458823","https://openalex.org/W2962579127","https://openalex.org/W2962834855","https://openalex.org/W2963470893","https://openalex.org/W2966399807","https://openalex.org/W2979865275","https://openalex.org/W3013766724","https://openalex.org/W3036167779","https://openalex.org/W3096831136","https://openalex.org/W3101507774","https://openalex.org/W3101566148","https://openalex.org/W3121370741","https://openalex.org/W3130221793","https://openalex.org/W3138791055","https://openalex.org/W3160609330","https://openalex.org/W3168053944","https://openalex.org/W3191805365","https://openalex.org/W3197440202","https://openalex.org/W3197956856","https://openalex.org/W4225981824","https://openalex.org/W4226000809","https://openalex.org/W4226530256","https://openalex.org/W4283752308","https://openalex.org/W4285992157","https://openalex.org/W4298629799","https://openalex.org/W4300439197","https://openalex.org/W4301206121","https://openalex.org/W4306291839","https://openalex.org/W4312849707","https://openalex.org/W4381950446","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6732499564","https://openalex.org/W6743716298","https://openalex.org/W6754405603","https://openalex.org/W6755977528","https://openalex.org/W6765779288","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6788990321","https://openalex.org/W6804703708","https://openalex.org/W6805547681","https://openalex.org/W6811046068"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W3127229356","https://openalex.org/W2000801317","https://openalex.org/W2294604808","https://openalex.org/W2702570413","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Experts":[0],"use":[1],"retinal":[2,22,52,103],"images":[3,23,117,152],"and":[4,9,15,32,108,157,167,190,206,215],"vessel":[5,106,133,155,195],"trees":[6,134,156],"to":[7,36,44,73,139,149,201],"detect":[8],"diagnose":[10],"various":[11],"eye,":[12],"blood":[13],"circulation,":[14],"brain-related":[16],"diseases.":[17],"However,":[18],"manual":[19],"segmentation":[20,110,196],"of":[21,58,102],"is":[24,33,147,218],"a":[25,81,96,109,128,140],"time-consuming":[26],"process":[27],"that":[28,88,131],"requires":[29],"high":[30],"expertise":[31],"difficult":[34],"due":[35],"privacy":[37],"issues.":[38],"Many":[39],"methods":[40,62],"have":[41],"been":[42,164],"proposed":[43,161],"segment":[45],"images,":[46,104],"but":[47],"the":[48,56,119,123,145,194],"need":[49],"for":[50],"large":[51],"image":[53,92],"datasets":[54],"limits":[55],"performance":[57],"these":[59],"methods.":[60],"Several":[61],"synthesize":[63],"deep":[64],"learning":[65],"models":[66],"based":[67,112],"on":[68,113,209],"Generative":[69],"Adversarial":[70],"Networks":[71],"(GAN)":[72],"generate":[74,150],"limited":[75],"sample":[76],"varieties.":[77],"This":[78],"paper":[79],"proposes":[80],"novel":[82],"Denoising":[83],"Diffusion":[84],"Probabilistic":[85],"Model":[86],"(DDPM)":[87],"outperformed":[89],"GANs":[90],"in":[91],"synthesis.":[93],"We":[94,192],"developed":[95,213],"Retinal":[97],"Trees":[98],"(ReTree)":[99],"dataset":[100,162,214],"consisting":[101],"corresponding":[105],"trees,":[107],"network":[111],"DDPM":[114,130],"trained":[115,193],"with":[116,198],"from":[118,135,153],"ReTree":[120],"dataset.":[121],"In":[122],"first":[124],"stage,":[125],"we":[126],"develop":[127],"two-stage":[129],"generates":[132],"random":[136,158],"numbers":[137],"belonging":[138],"standard":[141],"normal":[142],"distribution.":[143,159],"Later,":[144],"model":[146,197],"guided":[148],"fundus":[151],"given":[154],"The":[160],"has":[163],"evaluated":[165],"quantitatively":[166],"qualitatively.":[168],"Quantitative":[169],"evaluation":[170],"metrics":[171],"include":[172],"Frechet":[173],"Inception":[174],"Distance":[175],"(FID)":[176],"score,":[177],"Jaccard":[178],"similarity":[179],"coefficient,":[180],"Cohen\u2019s":[181],"kappa,":[182],"Matthew\u2019s":[183],"Correlation":[184],"Coefficient":[185],"(MCC),":[186],"precision,":[187],"recall,":[188],"F1-score,":[189],"accuracy.":[191],"synthetic":[199],"data":[200],"validate":[202],"our":[203],"dataset\u2019s":[204],"efficiency":[205],"tested":[207],"it":[208],"authentic":[210],"data.":[211],"Our":[212],"source":[216],"code":[217],"available":[219],"at":[220],"https://github.com/AAleka/retree.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
