{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:12:58Z","timestamp":1747195978350,"version":"3.40.5"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"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":[[2025,4,14]]},"DOI":"10.1109\/isbi60581.2025.10980707","type":"proceedings-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T17:38:51Z","timestamp":1747071531000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["On the Role of Adversarial Perturbations in Unsupervised Deep Learning for Enhancing Image Quality of Degraded Medical-Images"],"prefix":"10.1109","author":[{"given":"Vatsala","family":"Sharma","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Bombay,Computer Science and Engineering Department,Mumbai"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashwin","family":"Goyal","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Bombay,Computer Science and Engineering Department,Mumbai"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suyash P.","family":"Awate","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Bombay,Computer Science and Engineering Department,Mumbai"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2965","article-title":"Noise2Noise: Learning image restoration without clean data","volume-title":"Int. Conf. Mach. Learn.","volume":"80","author":"Lehtinen","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI52829.2022.9761601"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103291"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP51287.2024.10648068"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00223"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aba939"},{"key":"ref7","article-title":"Diffusion models for image restoration and enhancement - a comprehensive survey","author":"Li","year":"2023","journal-title":"arXiv"},{"key":"ref8","article-title":"Zero-shot image restoration using denoising diffusion null-space model","volume-title":"Int. Conf. on Learning Representations","author":"Wang","year":"2023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2025.3545047"},{"key":"ref10","article-title":"Prac-tical uncertainty estimation and out-of-distribution ro-bustness in deep learning","author":"Tran","year":"2020","journal-title":"Adv. Neural Inform. Process. Syst. Tutorial"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.8.5.052105"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-92659-5_39"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/a15080283"},{"key":"ref14","article-title":"Explaining and harnessing adversarial examples","volume-title":"Int. Conf. Learn. Rep.","author":"Goodfellow","year":"2015"},{"volume-title":"Data from RIDER Lung PET-CT","year":"2015","author":"Muzi","key":"ref15"},{"key":"ref16","first-page":"399","article-title":"Modeling mixed Poisson-Gaussian noise in statistical image re-construction for X-ray CT","author":"Ding","year":"2018","journal-title":"Imag. Form. X-ray Comp. Tomo."},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-021-05644-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2020190007"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"}],"event":{"name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2025,4,14]]},"location":"Houston, TX, USA","end":{"date-parts":[[2025,4,17]]}},"container-title":["2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10980665\/10980666\/10980707.pdf?arnumber=10980707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T06:24:14Z","timestamp":1747117454000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10980707\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,14]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/isbi60581.2025.10980707","relation":{},"subject":[],"published":{"date-parts":[[2025,4,14]]}}}