{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T21:07:28Z","timestamp":1784149648376,"version":"3.55.0"},"reference-count":27,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100010256","name":"Guangzhou Municipal Science and Technology Project","doi-asserted-by":"publisher","award":["2024D03J0013"],"award-info":[{"award-number":["2024D03J0013"]}],"id":[{"id":"10.13039\/501100010256","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004000","name":"Guangzhou Municipal Science and Technology Program key projects","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004000","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62571192"],"award-info":[{"award-number":["62571192"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Medical Image Analysis"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.media.2026.104128","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T06:18:52Z","timestamp":1778825932000},"page":"104128","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["STAGE challenge: Structural\u2013Functional Transition in Glaucoma Assessment"],"prefix":"10.1016","volume":"112","author":[{"given":"Shiqi","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuancong","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3380-7970","authenticated-orcid":false,"given":"Huihui","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Di","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chubin","family":"Ou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yihao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yubo","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haojie","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengcheng","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hrvoje","family":"Bogunovi\u0107","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huazhu","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiulan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1779-931X","authenticated-orcid":false,"given":"Yanwu","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.media.2026.104128_b1","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1001\/archophthalmol.2011.242","article-title":"Novel software strategy for glaucoma diagnosis: asymmetry analysis of retinal thickness","volume":"129","author":"Asrani","year":"2011","journal-title":"Arch. Ophthalmol."},{"issue":"3","key":"10.1016\/j.media.2026.104128_b2","doi-asserted-by":"crossref","first-page":"e229","DOI":"10.1097\/IJG.0000000000000280","article-title":"Evaluation of the retinal nerve fiber layer thickness, the mean deviation, and the visual field index in progressive glaucoma","volume":"25","author":"Banegas","year":"2016","journal-title":"J. Glaucoma"},{"issue":"2","key":"10.1016\/j.media.2026.104128_b3","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.ajo.2007.09.038","article-title":"A visual field index for calculation of glaucoma rate of progression","volume":"145","author":"Bengtsson","year":"2008","journal-title":"Am. J. Ophthalmol."},{"issue":"4","key":"10.1016\/j.media.2026.104128_b4","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1097\/JCMA.0000000000000037","article-title":"Macular ganglion cell-inner plexiform vs retinal nerve fiber layer measurement to detect early glaucoma with superior or inferior hemifield defects","volume":"82","author":"Chen","year":"2019","journal-title":"J. Chin. Med. Assoc."},{"key":"10.1016\/j.media.2026.104128_b5","doi-asserted-by":"crossref","DOI":"10.7717\/peerj-cs.623","article-title":"The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation","volume":"7","author":"Chicco","year":"2021","journal-title":"Peerj Comput. Sci."},{"issue":"1","key":"10.1016\/j.media.2026.104128_b6","doi-asserted-by":"crossref","first-page":"12562","DOI":"10.1038\/s41598-021-91493-9","article-title":"RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure","volume":"11","author":"Datta","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.media.2026.104128_b7","series-title":"International Workshop on Ophthalmic Medical Image Analysis","first-page":"135","article-title":"Dataset and evaluation algorithm design for goals challenge","author":"Fang","year":"2022"},{"key":"10.1016\/j.media.2026.104128_b8","series-title":"REFUGE2 challenge: A treasure trove for multi-dimension analysis and evaluation in glaucoma screening","author":"Fang","year":"2022"},{"issue":"10","key":"10.1016\/j.media.2026.104128_b9","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.1016\/S0161-6420(00)00284-0","article-title":"Mapping the visual field to the optic disc in normal tension glaucoma eyes","volume":"107","author":"Garway-Heath","year":"2000","journal-title":"Ophthalmology"},{"issue":"3","key":"10.1016\/j.media.2026.104128_b10","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1034\/j.1600-0420.2003.00070.x","article-title":"Measuring visual field progression in the early manifest glaucoma trial","volume":"81","author":"Heijl","year":"2003","journal-title":"Acta Ophthalmol. Scand."},{"issue":"7","key":"10.1016\/j.media.2026.104128_b11","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/j.ophtha.2022.02.017","article-title":"Policy-driven, multimodal deep learning for predicting visual fields from the optic disc and OCT imaging","volume":"129","author":"Kihara","year":"2022","journal-title":"Ophthalmology"},{"issue":"6","key":"10.1016\/j.media.2026.104128_b12","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1136\/bjophthalmol-2017-310869","article-title":"Macular imaging by optical coherence tomography in the diagnosis and management of glaucoma","volume":"102","author":"Kim","year":"2018","journal-title":"Br. J. Ophthalmol."},{"key":"10.1016\/j.media.2026.104128_b13","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.ajo.2021.12.020","article-title":"Predicting visual fields from optical coherence tomography via an ensemble of deep representation learners","volume":"238","author":"Lazaridis","year":"2022","journal-title":"Am. J. Ophthalmol."},{"issue":"1","key":"10.1016\/j.media.2026.104128_b14","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1038\/s41746-020-00329-9","article-title":"Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection","volume":"3","author":"Li","year":"2020","journal-title":"NPJ Digit. Med."},{"issue":"8","key":"10.1016\/j.media.2026.104128_b15","doi-asserted-by":"crossref","first-page":"1591","DOI":"10.1109\/TBME.2015.2506680","article-title":"Assessing the electromagnetic fields generated by a radiofrequency MRI body coil at 64 MHz: Defeaturing versus accuracy","volume":"63","author":"Lucano","year":"2015","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"4","key":"10.1016\/j.media.2026.104128_b16","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1016\/0169-2070(93)90079-3","article-title":"Accuracy measures: theoretical and practical concerns","volume":"9","author":"Makridakis","year":"1993","journal-title":"Int. J. Forecast."},{"issue":"1","key":"10.1016\/j.media.2026.104128_b17","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.ajo.2005.07.044","article-title":"Categorizing the stage of glaucoma from pre-diagnosis to end-stage disease","volume":"141","author":"Mills","year":"2006","journal-title":"Am. J. Ophthalmol."},{"issue":"6","key":"10.1016\/j.media.2026.104128_b18","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.survophthal.2020.03.002","article-title":"Macular imaging with optical coherence tomography in glaucoma","volume":"65","author":"Mohammadzadeh","year":"2020","journal-title":"Surv. Ophthalmol."},{"issue":"11","key":"10.1016\/j.media.2026.104128_b19","doi-asserted-by":"crossref","DOI":"10.1167\/tvst.12.11.5","article-title":"Prediction of central visual field measures from macular OCT volume scans with deep learning","volume":"12","author":"Mohammadzadeh","year":"2023","journal-title":"Transl. Vis. Sci. Technol."},{"key":"10.1016\/j.media.2026.104128_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2019.101570","article-title":"Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs","volume":"59","author":"Orlando","year":"2020","journal-title":"Med. Image Anal."},{"issue":"12","key":"10.1016\/j.media.2026.104128_b21","doi-asserted-by":"crossref","first-page":"1518","DOI":"10.1001\/archopht.1994.01090240024015","article-title":"Clinical decisions in glaucoma","volume":"112","author":"Perkins","year":"1994","journal-title":"Arch. Ophthalmol."},{"issue":"1","key":"10.1016\/j.media.2026.104128_b22","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1186\/s12879-021-06077-9","article-title":"A comparison of five epidemiological models for transmission of SARS-CoV-2 in India","volume":"21","author":"Purkayastha","year":"2021","journal-title":"BMC Infect. Dis."},{"issue":"11","key":"10.1016\/j.media.2026.104128_b23","first-page":"844","article-title":"Global data on visual impairment in the year 2002","volume":"82","author":"Resnikoff","year":"2004","journal-title":"Bull. World Health Organ."},{"key":"10.1016\/j.media.2026.104128_b24","series-title":"The Glaucoma Book: A Practical, Evidence-Based Approach to Patient Care","author":"Schacknow","year":"2010"},{"issue":"2","key":"10.1016\/j.media.2026.104128_b25","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1097\/00055735-199504000-00014","article-title":"Optical coherence tomography: a new tool for glaucoma diagnosis","volume":"6","author":"Schuman","year":"1995","journal-title":"Curr. Opin. Ophthalmol."},{"key":"10.1016\/j.media.2026.104128_b26","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102938","article-title":"Gamma challenge: glaucoma grading from multi-modality images","volume":"90","author":"Wu","year":"2023","journal-title":"Med. Image Anal."},{"issue":"2","key":"10.1016\/j.media.2026.104128_b27","doi-asserted-by":"crossref","DOI":"10.1167\/tvst.7.2.14","article-title":"Evaluation of a region-of-interest approach for detecting progressive glaucomatous macular damage on optical coherence tomography","volume":"7","author":"Wu","year":"2018","journal-title":"Transl. Vis. Sci. Technol."}],"container-title":["Medical Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841526001970?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841526001970?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T20:13:27Z","timestamp":1784146407000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1361841526001970"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":27,"alternative-id":["S1361841526001970"],"URL":"https:\/\/doi.org\/10.1016\/j.media.2026.104128","relation":{},"ISSN":["1361-8415"],"issn-type":[{"value":"1361-8415","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"STAGE challenge: Structural\u2013Functional Transition in Glaucoma Assessment","name":"articletitle","label":"Article Title"},{"value":"Medical Image Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.media.2026.104128","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104128"}}