{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T13:52:57Z","timestamp":1785333177704,"version":"3.55.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191796","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-7","source":"Crossref","is-referenced-by-count":8,"title":["Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images"],"prefix":"10.1109","author":[{"given":"Ekta","family":"Gupta","sequence":"first","affiliation":[{"name":"Chandigarh College of Engineering and Technology, Punjab University,Chandigarh,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Varun","family":"Gupta","sequence":"additional","affiliation":[{"name":"Chandigarh College of Engineering and Technology, Punjab University,Chandigarh,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muskaan","family":"Chopra","sequence":"additional","affiliation":[{"name":"Chandigarh College of Engineering and Technology, Punjab University,Chandigarh,India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prakash Chandra","family":"Chhipa","sequence":"additional","affiliation":[{"name":"Machine Learning Group, Luleå Tekniska Universitet,EISLAB,Luleå,Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcus","family":"Liwicki","sequence":"additional","affiliation":[{"name":"Machine Learning Group, Luleå Tekniska Universitet,EISLAB,Luleå,Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.101978"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102051"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CISP-BMEI.2017.8301998"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00274"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-69813-2","article-title":"Developing intelligent medical image modality classification system using deep transfer learning and LDA","volume":"10","author":"hassan","year":"2020","journal-title":"Sci Rep"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.107068"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-020-03731-y"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00346"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.17216"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102118"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100198"},{"key":"ref33","volume":"1176","author":"gangwar","year":"2021","journal-title":"Diabetic Retinopathy Detection Using Transfer Learning and Deep Learning"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105012"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPIT47144.2019.9001846"},{"key":"ref2","first-page":"68","volume":"2","author":"maxwell","year":"1892","journal-title":"A Treatise on Electricity and Magnetism"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.1955.0005"},{"key":"ref17","first-page":"1","volume":"62","author":"li","year":"2020","journal-title":"Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00247-1"},{"key":"ref19","author":"kuka?ka","year":"2021","journal-title":"Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina"},{"key":"ref18","first-page":"1","article-title":"Self-supervised multi-class pre-training for unsupervised anomaly detection and segmentation in medical images","author":"tian","year":"2021","journal-title":"Institutional Knowl Singapore Manag Univ"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"231","DOI":"10.5566\/ias.1155","article-title":"c","volume":"33","author":"decenci\u00e8re","year":"2014","journal-title":"Image Anal Stereol"},{"key":"ref23","first-page":"1","author":"yap","year":"0","journal-title":"Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-019-00318-6"},{"key":"ref25","first-page":"1575","article-title":"A simple framework for contrastive learning of visual representations","volume":"partf16814","author":"chen","year":"0","journal-title":"37th Int Conf Mach Learn ICML 2020"},{"key":"ref20","first-page":"1","article-title":"3D Self-Supervised Methods for Medical Imaging","author":"taleb","year":"2020","journal-title":"NeurIPS"},{"key":"ref22","article-title":"On the robustness of pretraining and self-supervision for a deep learning-based analysis of diabetic retinopathy","author":"srinivasan","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref21","first-page":"454","volume":"28","author":"lin","year":"2021","journal-title":"Multi-Label Classification of Fundus Images With Graph Convolutional Network and Self-Supervised Learning"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.16-19964"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105602"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2015.01.013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108234"},{"key":"ref7","author":"young","year":"1989","journal-title":"The Technical Writer's Handbook"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3328932"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-020-01672-7"},{"key":"ref3","first-page":"271","article-title":"Fine particles, thin films and exchange anisotropy","volume":"iii","author":"jacobs","year":"1963","journal-title":"Magnetism"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TJMJ.1987.4549593"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_68"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","location":"Gold Coast, Australia","start":{"date-parts":[[2023,6,18]]},"end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191796.pdf?arnumber=10191796","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T17:17:04Z","timestamp":1692983824000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191796\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191796","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}