{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T15:16:19Z","timestamp":1726240579105},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2017M2A2A6A01071214"],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007107","name":"KAIST","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007107","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Asan Foundation Biomedical Science Scholarship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2924255","type":"journal-article","created":{"date-parts":[[2019,6,21]],"date-time":"2019-06-21T19:50:40Z","timestamp":1561146640000},"page":"83449-83460","source":"Crossref","is-referenced-by-count":38,"title":["Deep-Learning-Based Label-Free Segmentation of Cell Nuclei in Time-Lapse Refractive Index Tomograms"],"prefix":"10.1109","volume":"7","author":[{"given":"Jimin","family":"Lee","sequence":"first","affiliation":[]},{"given":"Hyejin","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Hyungjoo","family":"Cho","sequence":"additional","affiliation":[]},{"given":"YoungJu","family":"Jo","sequence":"additional","affiliation":[]},{"given":"Yujin","family":"Song","sequence":"additional","affiliation":[]},{"given":"Daewoong","family":"Ahn","sequence":"additional","affiliation":[]},{"given":"Kangwon","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Yongkeun","family":"Park","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8714-6317","authenticated-orcid":false,"given":"Sung-Joon","family":"Ye","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.011"},{"key":"ref32","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1993.298623"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1017\/S143192761100002X"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2007.912940"},{"key":"ref34","article-title":"FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics","author":"quan","year":"2016","journal-title":"arXiv 1612 05360"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1038\/srep06659","article-title":"Profiling individual human red blood cells using common-path diffraction optical tomography","volume":"4","author":"kim","year":"2014","journal-title":"Sci Rep"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/srep10827"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3389\/fphy.2018.00131"},{"key":"ref13","article-title":"Refractive index as an intrinsic imaging contrast for 3-D label-free live cell imaging","author":"kim","year":"2017","journal-title":"BioRxiv"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/srep36815"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2018.2859234"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/srep21471"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.1700606"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.22.3.036015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-06311-y"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1667\/RR15134.1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.189"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.80.627"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41566-018-0253-x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/0030-4018(69)90052-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18287\/JBPE16.02.020201"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s130404170"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/35017638"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-24393-0"},{"key":"ref1","author":"turgeon","year":"2005","journal-title":"Clinical Hematology Theory and Procedures"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1711872115"},{"key":"ref22","article-title":"Optical diffraction tomography using a digital micromirror device for stable measurements of 4D refractive index tomography of cells","volume":"9718","author":"shin","year":"2016","journal-title":"Proc SPIE"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.bios.2018.09.068"},{"key":"ref24","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3109\/10520299509108199"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639346"},{"key":"ref25","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08743437.pdf?arnumber=8743437","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T14:50:18Z","timestamp":1663771818000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8743437\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":36,"URL":"http:\/\/dx.doi.org\/10.1109\/access.2019.2924255","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/478925","asserted-by":"object"}]},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}
