{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T14:00:19Z","timestamp":1769349619559,"version":"3.49.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100018696","name":"Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,3,28]]},"DOI":"10.1109\/isbi52829.2022.9761501","type":"proceedings-article","created":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T19:39:34Z","timestamp":1651001974000},"page":"1-5","source":"Crossref","is-referenced-by-count":5,"title":["Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research"],"prefix":"10.1109","author":[{"given":"Jiayi","family":"Zhu","sequence":"first","affiliation":[{"name":"University of New South Wales,Sydney,Australia"}]},{"given":"Bart","family":"Bolsterlee","sequence":"additional","affiliation":[{"name":"University of New South Wales,Sydney,Australia"}]},{"given":"Brian V. Y.","family":"Chow","sequence":"additional","affiliation":[{"name":"University of New South Wales,Sydney,Australia"}]},{"given":"Yang","family":"Song","sequence":"additional","affiliation":[{"name":"University of New South Wales,Sydney,Australia"}]},{"given":"Erik","family":"Meijering","sequence":"additional","affiliation":[{"name":"University of New South Wales,Sydney,Australia"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2020.101835"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.6.4.044009"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.4609"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinbiomech.2019.06.013"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1109\/CVPR.2017.243","article-title":"Densely connected convolutional networks","author":"huang","year":"2017","journal-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref15","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_29"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_48"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref19","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2788044"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2020.08.003"},{"key":"ref6","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention – (MICCAI)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2845918"},{"key":"ref7","first-page":"424","article-title":"3D U-Net: learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"International Conference on Medical Image Computing and ComputerAssisted Intervention (MICCAI)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21699"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/ddrr.1106"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10334-019-00816-5"}],"event":{"name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","location":"Kolkata, India","start":{"date-parts":[[2022,3,28]]},"end":{"date-parts":[[2022,3,31]]}},"container-title":["2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9761376\/9761399\/09761501.pdf?arnumber=9761501","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:06:11Z","timestamp":1656363971000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9761501\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/isbi52829.2022.9761501","relation":{},"subject":[],"published":{"date-parts":[[2022,3,28]]}}}