{"id":"https://openalex.org/W7151567951","doi":"https://doi.org/10.48550/arxiv.2604.03806","title":"Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement","display_name":"Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement","publication_year":2026,"publication_date":"2026-04-04","ids":{"openalex":"https://openalex.org/W7151567951","doi":"https://doi.org/10.48550/arxiv.2604.03806"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03806","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03806","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.03806","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133086368","display_name":"Xuanzhao Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dong, Xuanzhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133103136","display_name":"Wenhui Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Wenhui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133082085","display_name":"Xiwen Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiwen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133065604","display_name":"Hao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133115981","display_name":"Xin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121812257","display_name":"Yujian Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Yujian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133142418","display_name":"Jiajun Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Jiajun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133113191","display_name":"Zhipeng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhipeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133141866","display_name":"Shao Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Shao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133114085","display_name":"Oana Dumitrascu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dumitrascu, Oana","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5106406977","display_name":"Yalin Wang","orcid":"https://orcid.org/0000-0003-4095-1532"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yalin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5133086368"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9580000042915344,"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":0.9580000042915344,"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.024800000712275505,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/bridging","display_name":"Bridging (networking)","score":0.7763000130653381},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7653999924659729},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.4936999976634979},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.49129998683929443},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41670000553131104},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.37369999289512634},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.3434999883174896},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3215000033378601}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7763000130653381},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7653999924659729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474000215530396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5663999915122986},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.4936999976634979},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41999998688697815},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3215000033378601},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.3140000104904175},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2624000012874603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03806","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03806","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.03806","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03806","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Over":[0],"the":[1,14,115,203,226,242],"past":[2],"decade,":[3],"generative":[4,220],"models":[5,18],"have":[6],"demonstrated":[7],"success":[8],"in":[9,59,98,237],"enhancing":[10],"fundus":[11,25],"images.":[12],"However,":[13],"evaluation":[15,69,88,163],"of":[16,67,205,218,244],"these":[17,105],"remains":[19],"a":[20,65,110,167,181,214],"challenge.":[21],"A":[22],"benchmark":[23,111,212],"for":[24,30],"image":[26],"enhancement":[27,77,101,118,137,177,246],"is":[28,64],"needed":[29,228],"three":[31,127],"main":[32],"reasons:(1)":[33],"Conventional":[34],"denoising":[35],"metrics":[36],"such":[37,48,194],"as":[38,49,195],"PSNR":[39],"and":[40,52,75,85,121,158,175,202],"SSIM":[41],"fail":[42],"to":[43,94,113,154,229,240],"capture":[44],"clinically":[45,99,143,191],"relevant":[46],"features,":[47],"lesion":[50,159,196],"preservation":[51],"vessel":[53,147],"morphology":[54],"consistency,":[55],"limiting":[56],"their":[57],"applicability":[58],"real-world":[60],"settings;":[61],"(2)":[62,161],"There":[63],"lack":[66],"unified":[68],"protocols":[70],"that":[71],"address":[72,104],"both":[73],"paired":[74,174],"unpaired":[76,176],"methods,":[78,178],"particularly":[79],"those":[80],"guided":[81],"by":[82,180,186],"clinical":[83,122,223],"expertise;":[84],"(3)":[86,208],"An":[87],"framework":[89],"should":[90],"provide":[91],"actionable":[92],"insights":[93],"guide":[95],"future":[96],"advancements":[97],"aligned":[100],"models.":[102,247],"To":[103],"gaps,":[106],"we":[107,139],"introduce":[108],"EyeBench-V2,":[109],"designed":[112],"bridge":[114],"gap":[116],"between":[117,173],"model":[119],"performance":[120,141],"utility.":[123],"Our":[124,211],"work":[125],"offers":[126],"key":[128],"contributions:(1)":[129],"Multi-dimensional":[130],"clinical-alignment":[131],"through":[132],"downstream":[133],"evaluations:":[134],"Beyond":[135],"standard":[136],"metrics,":[138],"assess":[140],"across":[142],"meaningful":[144],"tasks":[145],"including":[146],"segmentation,":[148],"diabetic":[149],"retinopathy":[150],"(DR)":[151],"grading,":[152],"generalization":[153],"unseen":[155],"noise":[156],"patterns,":[157],"segmentation.":[160],"Expert-guided":[162],"design:":[164],"We":[165],"curate":[166],"novel":[168],"dataset":[169],"enabling":[170],"fair":[171],"comparisons":[172],"accompanied":[179],"structured":[182],"manual":[183],"assessment":[184],"protocol":[185],"medical":[187],"experts,":[188],"which":[189],"evaluates":[190],"critical":[192],"aspects":[193],"structure":[197],"alterations,":[198],"background":[199],"color":[200],"shifts,":[201],"introduction":[204],"artificial":[206],"structures.":[207],"Actionable":[209],"insights:":[210],"provides":[213],"rigorous,":[215],"task-oriented":[216],"analysis":[217],"existing":[219],"models,":[221],"equipping":[222],"researchers":[224],"with":[225],"evidence":[227],"make":[230],"informed":[231],"decisions,":[232],"while":[233],"also":[234],"identifying":[235],"limitations":[236],"current":[238],"methods":[239],"inform":[241],"design":[243],"next-generation":[245]},"counts_by_year":[],"updated_date":"2026-04-08T06:07:18.267832","created_date":"2026-04-08T00:00:00"}
