{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T05:16:54Z","timestamp":1769836614762,"version":"3.49.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"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":[[2023,4,18]]},"DOI":"10.1109\/isbi53787.2023.10230378","type":"proceedings-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T13:23:07Z","timestamp":1693574587000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning"],"prefix":"10.1109","author":[{"given":"Yejia","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengfei","family":"Gu","sequence":"additional","affiliation":[{"name":"University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nishchal","family":"Sapkota","sequence":"additional","affiliation":[{"name":"University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Zheng","sequence":"additional","affiliation":[{"name":"University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peixian","family":"Liang","sequence":"additional","affiliation":[{"name":"University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danny Z.","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101746"},{"key":"ref12","first-page":"420","article-title":"Self-supervised feature learning for 3D medical images by playing a Rubik’s cube","author":"zhuang","year":"2019","journal-title":"MICCAI"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.02.006"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3060634"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","first-page":"238","article-title":"Revisiting Rubik’s cube: Self-supervised learning with volume-wise transformation for 3D medical image segmentation","author":"tao","year":"2020","journal-title":"MICCAI"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_12"},{"key":"ref21","article-title":"PGL: Prior-guided local self-supervised learning for 3D medical image segmentation","author":"xie","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_59"},{"key":"ref1","first-page":"18158","article-title":"3D self-supervised methods for medical imaging","volume":"33","author":"taleb","year":"2020","journal-title":"NIPS"},{"key":"ref17","article-title":"Multi-atlas labeling beyond the cranial vault workshop and challenge","year":"2015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1260\/2040-2295.4.3.371"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1120\/1.1582411"},{"key":"ref18","article-title":"A large annotated medical image dataset for the development and evaluation of segmentation algorithms","author":"simpson","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_38"},{"key":"ref7","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"chen","year":"2020","journal-title":"ICML"},{"key":"ref9","first-page":"384","article-title":"Models genesis: Generic autodidactic models for 3D medical image analysis","volume":"11767","author":"zhou","year":"2019","journal-title":"MICCAI"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107826"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_21"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00348"},{"key":"ref5","article-title":"Contrastive learning of global and local features for medical image segmentation with limited annotations","volume":"33","author":"chaitanya","year":"2020","journal-title":"NIPS"}],"event":{"name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","location":"Cartagena, Colombia","start":{"date-parts":[[2023,4,18]]},"end":{"date-parts":[[2023,4,21]]}},"container-title":["2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10230311\/10230322\/10230378.pdf?arnumber=10230378","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T04:29:10Z","timestamp":1769488150000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10230378\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,18]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/isbi53787.2023.10230378","relation":{},"subject":[],"published":{"date-parts":[[2023,4,18]]}}}