{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T00:45:49Z","timestamp":1773362749127,"version":"3.50.1"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/isbi.2019.8759417","type":"proceedings-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T23:58:34Z","timestamp":1562889514000},"page":"573-577","source":"Crossref","is-referenced-by-count":21,"title":["Deep Learning for Weak Supervision of Diabetic Retinopathy Abnormalities"],"prefix":"10.1109","author":[{"given":"Maroof","family":"Ahmad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikhil","family":"Kasukurthi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harshit","family":"Pande","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2017.02.008"},{"key":"ref11","article-title":"Diabetic retinopathy detection via deep convolutional networks for discriminative localization and visual explanation","author":"wang","year":"2018","journal-title":"AAAI Workshop"},{"key":"ref12","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs 1409 1556","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref13","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"abs 1602 7261","author":"szegedy","year":"2016","journal-title":"CoRR"},{"key":"ref14","article-title":"Xception: Deep learning with depthwise separable convolutions","volume":"abs 1610 2357","author":"chollet","year":"2016","journal-title":"CoRR"},{"key":"ref15","article-title":"Densely connected convolutional networks","volume":"abs 1608 6993","author":"huang","year":"2016","journal-title":"CoRR"},{"key":"ref16","article-title":"Deep residual learning for image recognition","volume":"abs 1512 3385","author":"he","year":"2015","journal-title":"CoRR"},{"key":"ref17","article-title":"Learning transferable architectures for scalable image recognition","volume":"abs 1707 7012","author":"zoph","year":"2017","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_31"},{"key":"ref4","article-title":"Rethinking the inception architecture for computer vision","volume":"abs 1512 567","author":"szegedy","year":"2015","journal-title":"CoRR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.17216"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5566\/ias.1155"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref8","article-title":"Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs","volume":"abs 1803 4337","author":"voets","year":"2018","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2008.920619"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S2214-109X(13)70113-X"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"175","DOI":"10.4236\/jdm.2017.73014","article-title":"Research of type 2 diabetes patients&#x2019; problem areas and affecting factors","volume":"7","author":"ataliko?lu ba?kan","year":"2017","journal-title":"Joslin s Diabetes Mellitus"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"}],"event":{"name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)","location":"Venice, Italy","start":{"date-parts":[[2019,4,8]]},"end":{"date-parts":[[2019,4,11]]}},"container-title":["2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8754684\/8759097\/08759417.pdf?arnumber=8759417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:47:42Z","timestamp":1658094462000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8759417\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/isbi.2019.8759417","relation":{},"subject":[],"published":{"date-parts":[[2019,4]]}}}