{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T02:21:26Z","timestamp":1725762086288},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207047","type":"proceedings-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T20:40:33Z","timestamp":1601412033000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["IT-Block: Inverted Triangle Block embedded U-Net for Medical Image Segmentation"],"prefix":"10.1109","author":[{"given":"Xueyang","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongfeng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cairong","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2460455"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00163"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref35","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref34","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"International Conference on Artificial Intelligence and Statistics (AISTATS)"},{"key":"ref10","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proceedings of the International Conference on International Conference on Machine Learning (ICML)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2845918"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"},{"key":"ref16","first-page":"3","article-title":"Unet++: A nested u-net architecture for medical image segmentation","author":"zhou","year":"2018","journal-title":"Deep Learning and Data Labeling for Medical Applications"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref18","first-page":"2843","article-title":"Deep neural networks segment neuronal membranes in electron microscopy images","author":"ciresan","year":"2012","journal-title":"Advances in Neural Information Processing Systems 25 (NIPS)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46976-8_12"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_48"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_14"},{"key":"ref27","first-page":"291","article-title":"3d u2net: A 3d universal u-net for multi-domain medical image segmentation","author":"huang","year":"2019","journal-title":"Medical Image Computing and Computer Assisted Intervention (MICCAI)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759492"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_44"},{"key":"ref29","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00968"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-46976-8_19","article-title":"The importance of skip connections in biomedical image segmentation","author":"drozdzal","year":"2016","journal-title":"Deep Learning and Data Labeling for Medical Applications"},{"key":"ref7","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":"ref2","first-page":"6965","article-title":"A probabilistic u-net for segmentation of ambiguous images","author":"kohl","year":"2018","journal-title":"Advances in Neural Information Processing Systems I (NIPS)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_99"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_94"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493261"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.025"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851908"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00223"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.186"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_25"},{"key":"ref25","first-page":"424","article-title":"3d u-net: Learning dense volumetric segmentation from sparse annotation","author":"cicek","year":"2016","journal-title":"Medical Image Computing and Computer Assisted Intervention (MICCAI)"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207047.pdf?arnumber=9207047","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:53:18Z","timestamp":1656438798000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207047\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207047","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}