{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T17:59:47Z","timestamp":1771523987859,"version":"3.50.1"},"reference-count":14,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,4]]},"DOI":"10.1117\/12.2612660","type":"proceedings-article","created":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T19:09:02Z","timestamp":1648840142000},"page":"64","source":"Crossref","is-referenced-by-count":6,"title":["Universal lesion detection in CT scans using neural network ensembles"],"prefix":"10.1117","author":[{"given":"Tarun","family":"Mattikalli","sequence":"first","affiliation":[]},{"given":"Tejas Sudharshan","family":"Mathai","sequence":"additional","affiliation":[]},{"given":"Ronald M.","family":"Summers","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2016.03.081"},{"key":"c2","first-page":"194","article-title":"MULAN: Multitask universal lesion analysis network for joint lesion detection, tagging, and segmentation","author":"Yan","year":"2019","journal-title":"[MICCAI"},{"key":"c3","first-page":"511","article-title":"3d context enhanced region-based convolutional neural network for end-to-end lesion detection","author":"Yan","year":"2018","journal-title":"[MICCAI 2018"},{"key":"c4","first-page":"321","article-title":"ULDOR: a universal lesion detector for ct scans with pseudo masks and hard negative example mining","author":"Tang","year":"2019","journal-title":"[ISBI"},{"key":"c5","article-title":"Improving retinanet for ct lesion detection with dense masks from weak recist labels","author":"Zlocha","year":"2019","journal-title":"[MICCAI"},{"key":"c6","first-page":"921","article-title":"Recist-net: Lesion detection via grouping keypoints on recist-based annotation","author":"Xie","year":"2021","journal-title":"ISBI"},{"key":"c7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.42"},{"key":"c8","first-page":"1","article-title":"Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in ct","author":"Yan","year":"2020","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.3.036501"},{"key":"c10","article-title":"Focal loss for dense object detection","author":"Lin","year":"2017","journal-title":"ICCV"},{"key":"c11","article-title":"Foveabox: Beyond anchor-based object detector","author":"Kong","year":"2019","journal-title":"CoRR abs\/1904.03797"},{"key":"c12","article-title":"Varifocalnet: An iou-aware dense object detector","author":"Zhang","year":"2021","journal-title":"[CVPR"},{"key":"c13","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2021.104117"},{"key":"c14","article-title":"MMDetection: Open mmlab detection toolbox and benchmark","author":"Chen","year":"2019","journal-title":"arXiv preprint arXiv:1906.07155"}],"event":{"name":"Computer-Aided Diagnosis","location":"San Diego, United States","start":{"date-parts":[[2022,2,20]]},"end":{"date-parts":[[2022,3,28]]}},"container-title":["Medical Imaging 2022: Computer-Aided Diagnosis"],"original-title":[],"deposited":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T01:31:23Z","timestamp":1656811883000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12033\/2612660\/Universal-lesion-detection-in-CT-scans-using-neural-network-ensembles\/10.1117\/12.2612660.full"}},"subtitle":[],"editor":[{"given":"Khan M.","family":"Iftekharuddin","sequence":"additional","affiliation":[]},{"given":"Karen","family":"Drukker","sequence":"additional","affiliation":[]},{"given":"Maciej A.","family":"Mazurowski","sequence":"additional","affiliation":[]},{"given":"Hongbing","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Chisako","family":"Muramatsu","sequence":"additional","affiliation":[]},{"given":"Ravi K.","family":"Samala","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1117\/12.2612660","relation":{},"subject":[],"published":{"date-parts":[[2022,4,4]]}}}