{"id":"https://openalex.org/W7126027746","doi":"https://doi.org/10.1109/bibm66473.2025.11356210","title":"CLAPS: A CLIP-Unified Auto-Prompt Segmentation for Multi-Modal Retinal Imaging","display_name":"CLAPS: A CLIP-Unified Auto-Prompt Segmentation for Multi-Modal Retinal Imaging","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126027746","doi":"https://doi.org/10.1109/bibm66473.2025.11356210"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5121516592","display_name":"Zhihao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Zhihao Zhao","raw_affiliation_strings":["Technical University of Munich,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124246693","display_name":"Yinzheng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yinzheng Zhao","raw_affiliation_strings":["Technical University of Munich,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124292610","display_name":"Junjie Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Junjie Yang","raw_affiliation_strings":["Technical University of Munich,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124224325","display_name":"Xiangtong Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiangtong Yao","raw_affiliation_strings":["Technical University of Munich,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014755327","display_name":"Quanmin Liang","orcid":"https://orcid.org/0000-0001-9935-5167"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanmin Liang","raw_affiliation_strings":["Sun Yat-Sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073593300","display_name":"Shahrooz FaghihRoohi","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Shahrooz Faghihroohi","raw_affiliation_strings":["Technical University of Munich,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701291","display_name":"Kai Huang","orcid":"https://orcid.org/0000-0003-1919-8021"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Huang","raw_affiliation_strings":["Sun Yat-Sen University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121634198","display_name":"Nassir Navab","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nassir Navab","raw_affiliation_strings":["Technical University of Munich,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124235319","display_name":"M. Ali Nasseri","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Ali Nasseri","raw_affiliation_strings":["Technical University of Munich,Munich,Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5121516592"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73284836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1970","last_page":"1973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.7897999882698059,"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":0.7897999882698059,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.03669999912381172,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.020899999886751175,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7656999826431274},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48969998955726624},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4514000117778778},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.4302000105381012},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.3903000056743622},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3869999945163727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3637999892234802},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.35580000281333923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7908999919891357},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7656999826431274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6754000186920166},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48969998955726624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4767000079154968},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4514000117778778},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3869999945163727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35089999437332153},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.3188999891281128},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.3165000081062317},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.26339998841285706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1974969377","https://openalex.org/W1982890488","https://openalex.org/W2336653399","https://openalex.org/W2919070891","https://openalex.org/W2948685905","https://openalex.org/W2977650145","https://openalex.org/W2979448322","https://openalex.org/W3014974815","https://openalex.org/W3163631282","https://openalex.org/W3205963572","https://openalex.org/W3206405678","https://openalex.org/W3211490618","https://openalex.org/W4313244097","https://openalex.org/W4388413159","https://openalex.org/W4402631556","https://openalex.org/W4403649753","https://openalex.org/W4404612908"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,19,40,89],"foundation":[3,204],"models,":[4],"such":[5],"as":[6,202],"the":[7],"Segment":[8],"Anything":[9],"Model":[10],"(SAM),":[11],"have":[12],"significantly":[13],"impacted":[14],"medical":[15],"image":[16,99],"segmentation,":[17,161],"especially":[18],"retinal":[20,90,105],"imaging,":[21],"where":[22],"precise":[23,160],"segmentation":[24,83,178],"is":[25],"vital":[26],"for":[27,51,81,145],"diagnosis.":[28],"Despite":[29],"this":[30],"progress,":[31],"current":[32],"methods":[33,64],"face":[34],"critical":[35,177],"challenges:":[36],"1)":[37],"modality":[38],"ambiguity":[39],"textual":[41,152],"disease":[42],"descriptions,":[43],"2)":[44],"a":[45,56,59,78,97,102,141,163,203],"continued":[46],"reliance":[47],"on":[48,101,171,185],"manual":[49],"prompting":[50],"SAM-based":[52],"workflows,":[53],"and":[54,87,111,132,153,166],"3)":[55],"lack":[57],"of":[58],"unified":[60,82,167],"framework,":[61],"with":[62,140,187],"most":[63,196],"being":[65],"modalityand":[66],"task-specific.":[67],"To":[68,129],"overcome":[69],"these":[70,150],"hurdles,":[71],"we":[72,135],"propose":[73],"CLIP-unified":[74],"Auto-Prompt":[75],"Segmentation":[76],"(CLAPS),":[77],"novel":[79],"method":[80],"across":[84,175,195],"diverse":[85,173],"tasks":[86,131],"modalities":[88],"imaging.":[91],"Our":[92],"approach":[93],"begins":[94],"by":[95,125],"pre-training":[96],"CLIP-based":[98],"encoder":[100],"large,":[103],"multi-modal":[104],"dataset":[106],"to":[107,118,158],"handle":[108],"data":[109],"scarcity":[110],"distribution":[112],"imbalance.":[113],"We":[114],"then":[115],"leverage":[116],"GroundingDINO":[117],"automatically":[119],"generate":[120],"spatial":[121,154],"bounding":[122],"box":[123],"prompts":[124,138,155],"detecting":[126],"local":[127],"lesions.":[128],"unify":[130],"resolve":[133],"ambiguity,":[134],"use":[136],"text":[137],"enhanced":[139],"unique":[142],"\u201cmodality":[143],"signature\u201d":[144],"each":[146],"imaging":[147],"modality.":[148],"Ultimately,":[149],"automated":[151,165],"guide":[156],"SAM":[157],"execute":[159],"creating":[162],"fully":[164],"pipeline.":[168],"Extensive":[169],"experiments":[170],"12":[172],"datasets":[174],"11":[176],"categories":[179],"show":[180],"that":[181],"CLAPS":[182],"achieves":[183],"performance":[184],"par":[186],"specialized":[188],"expert":[189],"models":[190],"while":[191],"surpassing":[192],"existing":[193],"benchmarks":[194],"metrics,":[197],"demonstrating":[198],"its":[199],"broad":[200],"generalizability":[201],"model.":[205]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
