{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:27:10Z","timestamp":1775737630727,"version":"3.50.1"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100010428","name":"Hong Kong Innovation and Technology Fund","doi-asserted-by":"publisher","award":["ITS\/028\/21FP"],"award-info":[{"award-number":["ITS\/028\/21FP"]}],"id":[{"id":"10.13039\/501100010428","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Innovation Committee Fund","award":["SGDX20210823103201011"],"award-info":[{"award-number":["SGDX20210823103201011"]}]},{"DOI":"10.13039\/501100005950","name":"Hong Kong University of Science and Technology","doi-asserted-by":"crossref","award":["FS111"],"award-info":[{"award-number":["FS111"]}],"id":[{"id":"10.13039\/501100005950","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002920","name":"Research Grants Council of Hong Kong Special Administrative Region, China","doi-asserted-by":"publisher","award":["T45-401\/22-N"],"award-info":[{"award-number":["T45-401\/22-N"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project of Hetao Shenzhen\u2013Hong Kong Science and Technology Innovation Cooperation Zone","award":["HZQB-KCZYB-2020083"],"award-info":[{"award-number":["HZQB-KCZYB-2020083"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tmi.2025.3530113","type":"journal-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:41:36Z","timestamp":1737052896000},"page":"2341-2352","source":"Crossref","is-referenced-by-count":3,"title":["Boosting Convolution With Efficient MLP-Permutation for Volumetric Medical Image Segmentation"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7635-2518","authenticated-orcid":false,"given":"Yi","family":"Lin","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8401-6812","authenticated-orcid":false,"given":"Xiao","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4543-2179","authenticated-orcid":false,"given":"Dong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3885-4912","authenticated-orcid":false,"given":"Kwang-Ting","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8400-3780","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3059968"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref3","article-title":"Deep learning for medical image segmentation: Tricks, challenges and future directions","author":"Zhang","year":"2022","journal-title":"arXiv.2209.10307"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-34048-2_56"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-022-3871-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2020.2987975"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/00220345211005338"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103165"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_99"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref14","first-page":"1","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref15","first-page":"10347","article-title":"Training data-efficient image transformers & distillation through attention","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Touvron"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2102.04306"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00181"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_16"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16443-9_3"},{"key":"ref21","first-page":"24261","article-title":"MLP-mixer: An all-MLP architecture for vision","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Tolstikhin"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102605"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.7303\/SYN3193805"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102680"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-30695-9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_18"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-018-0261-2"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/122"},{"key":"ref29","first-page":"655","article-title":"Causal intervention for weakly-supervised semantic segmentation","volume-title":"Proc. NIPS","author":"Zhang"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3230943"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16443-9_16"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02007"},{"key":"ref34","first-page":"1","article-title":"3D UX-net: A large kernel volumetric convnet modernizing hierarchical transformer for medical image segmentation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lee"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_20"},{"key":"ref36","first-page":"9204","article-title":"Pay attention to MLPs","volume-title":"Proc. Conf. Neural Inf. Proces. Syst. (NeurIPS)","author":"Liu"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2022.100520"},{"key":"ref38","first-page":"1","article-title":"CycleMLP: A MLP-like architecture for dense prediction","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Chen"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01066"},{"key":"ref40","article-title":"Relational inductive biases, deep learning, and graph networks","author":"Battaglia","year":"2018","journal-title":"arXiv:1806.01261"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_30"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_94"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx188"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341426"},{"key":"ref45","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"Ulyanov","year":"2016","journal-title":"arXiv:1607.08022"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3145427"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19833-5_14"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref49","article-title":"Efficient context-aware network for abdominal multi-organ segmentation","author":"Zhang","year":"2021","journal-title":"arXiv:2109.10601"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.012"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00132"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191954"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44824-z"},{"key":"ref55","article-title":"Customized segment anything model for medical image segmentation","author":"Zhang","year":"2023","journal-title":"arXiv:2304.13785"},{"key":"ref56","article-title":"Monai: An open-source framework for deep learning in healthcare","author":"Cardoso","year":"2022","journal-title":"arXiv:2211.02701"},{"key":"ref57","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Loshchilov"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_11"},{"key":"ref59","first-page":"1","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hu"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_31"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3213983"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.103046"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/10982228\/10843792.pdf?arnumber=10843792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T17:56:09Z","timestamp":1746467769000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10843792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":62,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2025.3530113","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}