{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T06:38:37Z","timestamp":1761979117324,"version":"build-2065373602"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T00:00:00Z","timestamp":1758067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T00:00:00Z","timestamp":1758067200000},"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":[[2025,9,17]]},"DOI":"10.23919\/spa65537.2025.11215153","type":"proceedings-article","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T17:09:51Z","timestamp":1761930591000},"page":"268-272","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Retinal Disease Detection: a Self-Training Approach for Unsupervised Domain Adaptation"],"prefix":"10.23919","author":[{"given":"Tomer Bar","family":"Natan","sequence":"first","affiliation":[{"name":"Tel-Aviv Univerity,Computer Science Department,Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hayit","family":"Greenspan","sequence":"additional","affiliation":[{"name":"Tel-Aviv Univerity,Bio-Medical Engineering Dept,Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacob","family":"Goldberger","sequence":"additional","affiliation":[{"name":"Bar-Ilan University,Engineering Faculty,Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Direct importance estimation with model selection and its application to covariate shift adaptation","author":"Sugiyama","year":"2007","journal-title":"Advances in Neural Information Processing Systems (NeurIPs)"},{"key":"ref2","first-page":"3122","article-title":"Detecting and correcting for label shift with black box predictors","volume-title":"International Conference on Machine Learning (ICML)","author":"Lipton"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3117407"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_59"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.126828"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00704"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00844"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00705"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_13"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_36"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6123"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_32"},{"key":"ref14","first-page":"1","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Workshop on challenges in representation learning","author":"Lee"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00608"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-45857-6_4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI60581.2025.10981183"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5566\/ias.2346"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2014.6867807"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.03.005"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2020.00019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref23","article-title":"Re-thinking the inception architecture for computer vision","author":"Szegedy","year":"2015","journal-title":"CoRR"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref24"}],"event":{"name":"2025 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","start":{"date-parts":[[2025,9,17]]},"location":"Poznan, Poland","end":{"date-parts":[[2025,9,19]]}},"container-title":["2025 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11214499\/11215073\/11215153.pdf?arnumber=11215153","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T06:35:04Z","timestamp":1761978904000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11215153\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,17]]},"references-count":24,"URL":"https:\/\/doi.org\/10.23919\/spa65537.2025.11215153","relation":{},"subject":[],"published":{"date-parts":[[2025,9,17]]}}}