{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T19:33:19Z","timestamp":1725651199286},"reference-count":12,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,3]]},"DOI":"10.1117\/12.2655653","type":"proceedings-article","created":{"date-parts":[[2023,4,3]],"date-time":"2023-04-03T23:32:45Z","timestamp":1680564765000},"page":"30","source":"Crossref","is-referenced-by-count":0,"title":["Self-supervised registration and segmentation on ossicles with a single ground truth label"],"prefix":"10.1117","author":[{"given":"Yike","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Jack H.","family":"Noble","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1097\/MAO.0000000000001850"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1097\/MAO.0b013e31819e61ed"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2003.819299"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1177\/01945998211044982"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-021-00698-x"},{"key":"c6","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"Ronneberger","year":"2015","journal-title":"CoRR abs\/1505.04597"},{"key":"c7","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume-title":"Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1","author":"Krizhevsky","year":"2012"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.42"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1006\/jcph.2000.6636"},{"key":"c10","article-title":"nnu-net: Self-adapting framework for u-net-based medical image segmentation","author":"Isensee","year":"2018","journal-title":"CoRR abs\/1809.10486"},{"key":"c11","article-title":"Transunet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021","journal-title":"CoRR abs\/2102.04306"},{"key":"c12","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"CoRR abs\/2010.11929"}],"event":{"name":"Image-Guided Procedures, Robotic Interventions, and Modeling","start":{"date-parts":[[2023,2,19]]},"location":"San Diego, United States","end":{"date-parts":[[2023,2,24]]}},"container-title":["Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling"],"original-title":[],"deposited":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T19:06:04Z","timestamp":1682363164000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12466\/2655653\/Self-supervised-registration-and-segmentation-on-ossicles-with-a-single\/10.1117\/12.2655653.full"}},"subtitle":[],"editor":[{"given":"Cristian A.","family":"Linte","sequence":"additional","affiliation":[]},{"given":"Jeffrey H.","family":"Siewerdsen","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2023,4,3]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1117\/12.2655653","relation":{},"subject":[],"published":{"date-parts":[[2023,4,3]]}}}