{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:35:19Z","timestamp":1759332919648,"version":"3.37.3"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100010423","name":"Israeli Ministry of Science & Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010423","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,23]]},"DOI":"10.23919\/eusipco54536.2021.9616331","type":"proceedings-article","created":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T21:55:53Z","timestamp":1639000553000},"page":"985-989","source":"Crossref","is-referenced-by-count":4,"title":["Transfer Learning via Parameter Regularization for Medical Image Segmentation"],"prefix":"10.23919","author":[{"given":"Nimrod","family":"Sagie","sequence":"first","affiliation":[{"name":"Tel-Aviv University,Department of Medical Engineering,Israel"}]},{"given":"Hayit","family":"Greenspan","sequence":"additional","affiliation":[{"name":"Tel-Aviv University,Department of Medical Engineering,Israel"}]},{"given":"Jacob","family":"Goldberger","sequence":"additional","affiliation":[{"name":"Bar-Ilan University,Faculty of Electrical Engineering,Israel"}]}],"member":"263","reference":[{"key":"ref10","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":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref12","article-title":"A large annotated medical image dataset for the development and evaluation of segmentation algorithms","author":"simpson","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/12.2581111"},{"key":"ref14","article-title":"COVID-19 CT lung and infection segmentation dataset","volume":"20","author":"jun","year":"2020","journal-title":"Zenodo"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00250"},{"key":"ref17","article-title":"Automated chest ct image segmentation of Covid-19 lung infection based on 3D U-net","author":"m\u00fcller","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3054746"},{"key":"ref19","article-title":"3d u-net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware","volume":"abs 2101 9976","author":"bressem","year":"2021","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.03.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0107-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref7","article-title":"Transfusion: Understanding transfer learning for medical imaging","author":"raghu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553401"},{"key":"ref9","first-page":"2825","article-title":"Explicit inductive bias for transfer learning with convolutional networks","author":"li","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"}],"event":{"name":"2021 29th European Signal Processing Conference (EUSIPCO)","start":{"date-parts":[[2021,8,23]]},"location":"Dublin, Ireland","end":{"date-parts":[[2021,8,27]]}},"container-title":["2021 29th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9615915\/9615917\/09616331.pdf?arnumber=9616331","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:14:45Z","timestamp":1659485685000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9616331\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,23]]},"references-count":19,"URL":"https:\/\/doi.org\/10.23919\/eusipco54536.2021.9616331","relation":{},"subject":[],"published":{"date-parts":[[2021,8,23]]}}}