{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T04:08:49Z","timestamp":1754107729542,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"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":[[2021,4,13]]},"DOI":"10.1109\/isbi48211.2021.9433920","type":"proceedings-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T20:14:15Z","timestamp":1621973655000},"page":"1553-1557","source":"Crossref","is-referenced-by-count":7,"title":["Liver Fibrosis And NAS Scoring From CT Images Using Self-Supervised Learning And Texture Encoding"],"prefix":"10.1109","author":[{"given":"Ananya","family":"Jana","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Qu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos D.","family":"Minacapelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carolyn","family":"Catalano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vinod","family":"Rustgi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitris","family":"Metaxas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-018-1572-6"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"20180153","DOI":"10.1259\/bjr.20180153","article-title":"Ct texture analysis of the liver for assessing hepatic fibrosis in patients with hepatitis c virus","volume":"92","author":"lubner","year":"2019","journal-title":"The British Journal of Radiology"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1097\/RCT.0000000000000389"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-018-1878-4"},{"key":"ref14","article-title":"Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain","author":"fetit","year":"2020","journal-title":"Medical Imaging with Deep Learning (MIDL)"},{"key":"ref15","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.9775"},{"key":"ref17","article-title":"The liver tumor segmentation benchmark (lits)","author":"bilic","year":"2019","journal-title":"arXiv preprint arXiv 1901 04217"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018180763"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5499-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"journal-title":"Deep learning based nas score and fibrosis stage prediction from ct and pathology data","year":"2020","author":"jana","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-46442-y"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101539"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/liv.13301"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2018.09.014"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-017-1096-5"}],"event":{"name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2021,4,13]]},"location":"Nice, France","end":{"date-parts":[[2021,4,16]]}},"container-title":["2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9433749\/9433753\/09433920.pdf?arnumber=9433920","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,31]],"date-time":"2024-08-31T15:00:40Z","timestamp":1725116440000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9433920\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,13]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/isbi48211.2021.9433920","relation":{},"subject":[],"published":{"date-parts":[[2021,4,13]]}}}