{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T06:16:17Z","timestamp":1774332977723,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"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":[[2022,3,28]]},"DOI":"10.1109\/isbi52829.2022.9761448","type":"proceedings-article","created":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T19:39:34Z","timestamp":1651001974000},"page":"1-5","source":"Crossref","is-referenced-by-count":8,"title":["Long-Range 3D Self-Attention for MRI Prostate Segmentation"],"prefix":"10.1109","author":[{"given":"Federico","family":"Pollastri","sequence":"first","affiliation":[{"name":"University of Modena and Reggio Emilia,Department of Engineering \"Enzo Ferrari\",Modena,Italy"}]},{"given":"Marco","family":"Cipriano","sequence":"additional","affiliation":[{"name":"University of Modena and Reggio Emilia,Department of Engineering \"Enzo Ferrari\",Modena,Italy"}]},{"given":"Federico","family":"Bolelli","sequence":"additional","affiliation":[{"name":"University of Modena and Reggio Emilia,Department of Engineering \"Enzo Ferrari\",Modena,Italy"}]},{"given":"Costantino","family":"Grana","sequence":"additional","affiliation":[{"name":"University of Modena and Reggio Emilia,Department of Engineering \"Enzo Ferrari\",Modena,Italy"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3145971"},{"key":"ref11","first-page":"234","article-title":"U-net: Convolutional Networks for Biomedical Image Segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref12","first-page":"424","article-title":"3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"MICCAI"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7965852"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref15","article-title":"Med3D: Transfer learning for 3D Medical Image Analysis","author":"chen","year":"2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00656"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.12.002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7717-y"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13933"},{"key":"ref6","article-title":"Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images","volume":"31","author":"yu","year":"2017","journal-title":"AAAI Conference on Artificial Intelligence"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13416"},{"key":"ref8","first-page":"442","article-title":"Improving Skin Lesion Segmentation with Generative Ad-versarial Networks","author":"pollastri","year":"2018","journal-title":"CBMS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5220\/0010392307240731"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.annonc.2020.02.009"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00250"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2019.08.005"},{"key":"ref20","article-title":"Attention is All You Need","author":"vaswani","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196653"},{"key":"ref21","article-title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","author":"dosovitskiy","year":"2020"},{"key":"ref24","first-page":"448","article-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","author":"ioffe","year":"2015","journal-title":"PMLR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00675"},{"key":"ref26","article-title":"Prostate MRI and Ultrasound With Pathology and Coordinates of Tracked Biopsy (Prostate-MRI-US-Biopsy) [Dataset]","author":"natarajan","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_49"}],"event":{"name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","location":"Kolkata, India","start":{"date-parts":[[2022,3,28]]},"end":{"date-parts":[[2022,3,31]]}},"container-title":["2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9761376\/9761399\/09761448.pdf?arnumber=9761448","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:06:16Z","timestamp":1656363976000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9761448\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/isbi52829.2022.9761448","relation":{},"subject":[],"published":{"date-parts":[[2022,3,28]]}}}