{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T08:37:12Z","timestamp":1776328632549,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"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":[[2019,4]]},"DOI":"10.1109\/isbi.2019.8759430","type":"proceedings-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T19:58:34Z","timestamp":1562875114000},"page":"339-342","source":"Crossref","is-referenced-by-count":12,"title":["Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation"],"prefix":"10.1109","author":[{"given":"Peixian","family":"Liang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxu","family":"Chen","sequence":"additional","affiliation":[{"name":"Allen Institute for Cell Science, Seattle, Washington, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yizhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danny Z.","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref11","first-page":"287","article-title":"Automatic 3D cardiovascular MR segmentation with densely-connected volumetric ConvNets","author":"yu","year":"2017","journal-title":"MICCAI"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.156"},{"key":"ref13","first-page":"562","article-title":"Deeply-supervised nets","author":"lee","year":"2015","journal-title":"AISTATS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_53"},{"key":"ref15","article-title":"Lung CT segmentation challenge 2017 — the cancer imaging archive","author":"yang","year":"2017"},{"key":"ref16","first-page":"265","article-title":"Tensor-Flow: A system for large-scale machine learning","volume":"16","author":"abadi","year":"2016","journal-title":"OSDI"},{"key":"ref17","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-43775-0_34"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24553-9_68"},{"key":"ref6","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref5","article-title":"VoxResNet: Deep voxelwise residual networks for volumetric brain segmentation","author":"chen","year":"2016","journal-title":"arXiv 1608 05895"},{"key":"ref8","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"MICCAI"},{"key":"ref7","first-page":"21","article-title":"Neuron segmentation using deep complete bipartite networks","author":"chen","year":"2017","journal-title":"MICCAI"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_10"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363724"}],"event":{"name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)","location":"Venice, Italy","start":{"date-parts":[[2019,4,8]]},"end":{"date-parts":[[2019,4,11]]}},"container-title":["2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8754684\/8759097\/08759430.pdf?arnumber=8759430","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T05:26:00Z","timestamp":1769491560000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8759430\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/isbi.2019.8759430","relation":{},"subject":[],"published":{"date-parts":[[2019,4]]}}}