{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T20:14:41Z","timestamp":1758399281345,"version":"3.33.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"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":[[2024,10,6]]},"DOI":"10.1109\/smc54092.2024.10831461","type":"proceedings-article","created":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T18:39:20Z","timestamp":1737398360000},"page":"2297-2304","source":"Crossref","is-referenced-by-count":1,"title":["SIDN-NAS: Scalable Iterative Dense Network with Neural Architecture Search Optimization for Medical Image Segmentation"],"prefix":"10.1109","author":[{"given":"Jianjun","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Software Engineering, South China University of Technology,Guangzhou,China,510006"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junying","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology,Guangzhou,China,510006"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation","author":"Alom","year":"2018","journal-title":"arXiv preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305148"},{"key":"ref3","first-page":"1","article-title":"Transunet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021","journal-title":"ar Xiv preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_92"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2983721"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3035253"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","first-page":"1","article-title":"Categorical reparameterization with gumbel-softmax","volume-title":"International Conference on Learning Representations","author":"Eric","year":"2016"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101950"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-26482-7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2677499"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3291719"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref15","first-page":"1","article-title":"Darts: Differen-tiable architecture search","volume-title":"International Conference on Learning Representations","author":"Liu","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865709"},{"key":"ref17","first-page":"1","article-title":"Attention u-net: Learning where to look for the pancreas","author":"Oktay","year":"2022","journal-title":"Medical Imaging with Deep Learning"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref20","first-page":"36","article-title":"Medical transformer: Gated axial-attention for medical image segmentation","volume-title":"Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention","author":"Maria","year":"2021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_22"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2908991"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_38"}],"event":{"name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2024,10,6]]},"location":"Kuching, Malaysia","end":{"date-parts":[[2024,10,10]]}},"container-title":["2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10830919\/10830920\/10831461.pdf?arnumber=10831461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T06:40:01Z","timestamp":1737441601000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10831461\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,6]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/smc54092.2024.10831461","relation":{},"subject":[],"published":{"date-parts":[[2024,10,6]]}}}