{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T00:45:45Z","timestamp":1774658745778,"version":"3.50.1"},"reference-count":37,"publisher":"IEEE","funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018696","name":"Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,1]]},"DOI":"10.1109\/embc46164.2021.9630522","type":"proceedings-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T21:24:16Z","timestamp":1639085056000},"page":"3322-3327","source":"Crossref","is-referenced-by-count":10,"title":["A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection"],"prefix":"10.1109","author":[{"given":"Abdullah F.","family":"Al-Battal","sequence":"first","affiliation":[]},{"given":"Yan","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Lu","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Timothy","family":"Morton","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Du","sequence":"additional","affiliation":[]},{"given":"Yifeng","family":"Bu","sequence":"additional","affiliation":[]},{"given":"Imanuel R","family":"Lerman","sequence":"additional","affiliation":[]},{"given":"Radhika","family":"Madhavan","sequence":"additional","affiliation":[]},{"given":"Truong Q.","family":"Nguyen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/42.363096"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298664"},{"key":"ref31","article-title":"mixup: Beyond empirical risk minimization","author":"zhang","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref30","first-page":"395","article-title":"Vicinal risk minimization","author":"chapelle","year":"2000","journal-title":"Proc of the 13th International Conference on Neural Information Processing Systems"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref36","article-title":"Trbg\/vagus-nerve-u-net","author":"al-battal","year":"2021"},{"key":"ref35","author":"ahuja","year":"2019","journal-title":"Diagnostic Ultrasound Head and Neck Diagnostic Ultrasound"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1121\/1.4900242"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2009.2015576"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IUS46767.2020.9251739"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9176269"},{"key":"ref14","first-page":"234","article-title":"U-net: Convolutional net-works for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/ner.12398"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1111\/ner.12706"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1113\/JP280077"},{"key":"ref18","article-title":"Yolov4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref28","article-title":"The effectiveness of data augmentation in image classification using deep learning","volume":"11","author":"wang","year":"2017","journal-title":"Convolutional Neural Networks Vis Recognit"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref27","first-page":"766","article-title":"Dis-criminative unsupervised feature learning with convolutional neural networks","volume":"27","author":"dosovitskiy","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/uog.2804"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2003.1227801"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref8","article-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"2014","journal-title":"2nd International Conference on Learning Representations ICLR 2014 Banff AB Canada April 14-16 2014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587597"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.7863\/jum.2012.31.4.623"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(99)00018-9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000188"},{"key":"ref20","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref22","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref21","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2007.899180"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_77"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-030-00889-5_1","article-title":"Unet++: A nested u-net architecture for medical image segmentation","author":"zhou","year":"2018","journal-title":"Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2494160"}],"event":{"name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","location":"Mexico","start":{"date-parts":[[2021,11,1]]},"end":{"date-parts":[[2021,11,5]]}},"container-title":["2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9629355\/9629471\/09630522.pdf?arnumber=9630522","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T20:57:35Z","timestamp":1647896255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9630522\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/embc46164.2021.9630522","relation":{},"subject":[],"published":{"date-parts":[[2021,11,1]]}}}