{"id":"https://openalex.org/W7126098627","doi":"https://doi.org/10.1109/bibm66473.2025.11356080","title":"Boosting Contrastive Learning for Myopia Prediction: Which Data Augmentation Works Best?","display_name":"Boosting Contrastive Learning for Myopia Prediction: Which Data Augmentation Works Best?","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126098627","doi":"https://doi.org/10.1109/bibm66473.2025.11356080"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356080","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/A5124241935","display_name":"Fucheng Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fucheng Niu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124216390","display_name":"Liao Ya","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]},{"id":"https://openalex.org/I4210143072","display_name":"Xuzhou No.1 People's Hospital","ror":"https://ror.org/05ca6eb43","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143072"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liao Ya","raw_affiliation_strings":["Ophthalmology&Optometry Center,Xuzhou First People's Hospital,Xuzhou,China"],"affiliations":[{"raw_affiliation_string":"Ophthalmology&Optometry Center,Xuzhou First People's Hospital,Xuzhou,China","institution_ids":["https://openalex.org/I4210143072","https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124244836","display_name":"Hui Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124211976","display_name":"Xiaojuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]},{"id":"https://openalex.org/I4210143072","display_name":"Xuzhou No.1 People's Hospital","ror":"https://ror.org/05ca6eb43","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143072"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Wang","raw_affiliation_strings":["Ophthalmology&Optometry Center,Xuzhou First People's Hospital,Xuzhou,China"],"affiliations":[{"raw_affiliation_string":"Ophthalmology&Optometry Center,Xuzhou First People's Hospital,Xuzhou,China","institution_ids":["https://openalex.org/I4210143072","https://openalex.org/I177388780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124183849","display_name":"Lin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5124241935"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7115426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2665","last_page":"2670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9434000253677368,"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":0.9434000253677368,"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/T10381","display_name":"Ophthalmology and Visual Impairment Studies","score":0.02199999988079071,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.020800000056624413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6484000086784363},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.3456000089645386},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3296999931335449},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.32359999418258667},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2913999855518341},{"id":"https://openalex.org/keywords/contrastive-analysis","display_name":"Contrastive analysis","score":0.2849000096321106}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6484000086784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501000285148621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5116000175476074},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.32359999418258667},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.28619998693466187},{"id":"https://openalex.org/C2777629044","wikidata":"https://www.wikidata.org/wiki/Q614959","display_name":"Contrastive analysis","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.26159998774528503},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356080","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":[{"id":"https://openalex.org/G2459981627","display_name":null,"funder_award_id":"202210290034Z","funder_id":"https://openalex.org/F4320323154","funder_display_name":"China University of Mining and Technology"}],"funders":[{"id":"https://openalex.org/F4320323154","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2032463068","https://openalex.org/W2582088709","https://openalex.org/W2778027947","https://openalex.org/W2791002326","https://openalex.org/W3015788969","https://openalex.org/W3034781633","https://openalex.org/W3087136571","https://openalex.org/W3117206754","https://openalex.org/W3130938027","https://openalex.org/W3159344725","https://openalex.org/W3207184789","https://openalex.org/W4221022051","https://openalex.org/W4302009595","https://openalex.org/W4313591097","https://openalex.org/W4317542939","https://openalex.org/W4367602026","https://openalex.org/W4378516647","https://openalex.org/W4385662042","https://openalex.org/W4386697749","https://openalex.org/W4388449163","https://openalex.org/W4388921139","https://openalex.org/W4388962371"],"related_works":[],"abstract_inverted_index":{"Myopia":[0],"is":[1],"an":[2,110],"increasingly":[3],"prevalent":[4],"global":[5],"health":[6],"issue,":[7],"underscoring":[8],"the":[9,18,46,96,105,122],"need":[10],"for":[11,31,55,66],"accurate":[12],"and":[13,59,93,101,117,142],"early-stage":[14,135],"prediction":[15,58,68],"methods.":[16],"Given":[17],"inherent":[19],"scarcity":[20],"of":[21,48,89,98,112,115,119],"labeled":[22],"medical":[23],"data,":[24],"contrastive":[25,53,63],"learning":[26,54],"offers":[27],"a":[28,62,79],"promising":[29],"solution":[30],"myopia":[32,57,67],"prediction.":[33],"However,":[34],"it":[35],"still":[36],"remains":[37],"unexplored.":[38],"In":[39],"this":[40,75],"paper,":[41],"we":[42,77],"focus":[43],"on":[44,52,121],"investigating":[45],"impact":[47],"data":[49],"augmentation":[50,91],"strategies":[51],"fundus-based":[56],"propose":[60],"CImPred,":[61],"learning-based":[64],"framework":[65],"using":[69],"retinal":[70],"fundus":[71,80,131],"images.":[72],"To":[73],"support":[74,139],"task,":[76],"construct":[78],"image":[81],"dataset,":[82],"RFMPred.":[83],"We":[84,125],"systematically":[85],"evaluate":[86],"36":[87],"combinations":[88],"common":[90],"techniques":[92],"demonstrates":[94],"that":[95],"combination":[97],"color":[99],"distortion":[100],"random":[102],"rotation":[103],"yields":[104],"best":[106],"performance.":[107],"CImPred":[108],"achieves":[109],"RMSE":[111],"1.630,":[113],"PCC":[114],"0.672,":[116],"MAE":[118],"1.321":[120],"RFMPred":[123],"dataset.":[124],"also":[126],"provide":[127],"preliminary":[128],"insights":[129],"into":[130],"regions":[132],"associated":[133],"with":[134],"myopia,":[136],"which":[137],"may":[138],"early":[140],"intervention":[141],"risk":[143],"reduction":[144],"efforts.":[145],"The":[146],"code":[147],"will":[148],"be":[149],"made":[150],"publicly":[151],"available":[152],"upon":[153],"publication.":[154]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}