{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T10:07:09Z","timestamp":1743502029929,"version":"3.28.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191533","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["DUP-Net: Double U-PoolFormer Networks for Renal Artery Segmentation in CT Urography"],"prefix":"10.1109","author":[{"given":"Bei","family":"Li","sequence":"first","affiliation":[{"name":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenkang","family":"Fan","sequence":"additional","affiliation":[{"name":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingxian","family":"Yang","sequence":"additional","affiliation":[{"name":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song","family":"Zheng","sequence":"additional","affiliation":[{"name":"Fujian Medical University Union Hospital,Departm, ent of Urology,Fuzhou,China,35001"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhui","family":"Chen","sequence":"additional","affiliation":[{"name":"Fujian Medical University Union Hospital,Departm, ent of Urology,Fuzhou,China,35001"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinran","family":"Chen","sequence":"additional","affiliation":[{"name":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiongbiao","family":"Luo","sequence":"additional","affiliation":[{"name":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66185-8_33"},{"key":"ref35","first-page":"424","article-title":"3d u-net: learning dense volumetric segmentation from sparse anno-tation","author":"cicek","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106241"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759569"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00181"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512328"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.04.041"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISM46123.2019.00049"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2015.12.004"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.07.002"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959609"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101623"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2010.11.037"},{"journal-title":"Transunet Transformers make strong encoders for medical image segmentation","year":"2021","author":"chen","key":"ref17"},{"key":"ref16","article-title":"Pointcnn: Convolution on x-transformed points","volume":"31","author":"li","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"journal-title":"An image is worth 16x16 words Transformers for image recognition at scale","year":"2020","author":"dosovitskiy","key":"ref18"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM55620.2022.9995690"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/s22124592"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01055"},{"journal-title":"Exploiting full resolution feature context for liver tumor and vessel segmentation via fusion encoder Application to liver tumor and vessel 3d reconstruction","year":"2021","author":"meng","key":"ref25"},{"key":"ref20","first-page":"454","article-title":"Segmentation of renal struc-tures for image-guided surgery","author":"li","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_16"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_53"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107404"},{"key":"ref27","article-title":"The kits 19 challenge data: 300 kidney tumor cases with clinical context, ct semantic segmentations, and surgical outcomes","author":"heller","year":"2019","journal-title":"ar Xiv preprint"},{"journal-title":"Attention U-Net Learning where to look for the pancreas","year":"2018","author":"oktay","key":"ref29"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.04.014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0029242"},{"key":"ref9","first-page":"699","article-title":"Lung vessel segmentation in ct images using graph-cuts","volume":"9784","author":"zhai","year":"2016","journal-title":"Medical Imagine Image Processing 2016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00276-011-0866-y"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101722"},{"key":"ref6","first-page":"130","article-title":"Multi scale vessel enhancement filtering","author":"frangi","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S1361-8415(98)80009-1"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191533.pdf?arnumber=10191533","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:44:59Z","timestamp":1692639899000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191533\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191533","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}