{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T06:29:06Z","timestamp":1748240946599,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/icip.2019.8803404","type":"proceedings-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T19:32:48Z","timestamp":1566847968000},"page":"1337-1341","source":"Crossref","is-referenced-by-count":1,"title":["Weakly-Supervised Learning for Attention-Guided Skull Fracture Classification In Computed Tomography Imaging"],"prefix":"10.1109","author":[{"given":"Cheng-Yen","family":"Yang","sequence":"first","affiliation":[]},{"given":"Chi-Hsin","family":"Lo","sequence":"additional","affiliation":[]},{"given":"Huan-Chih","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jen-Hai","family":"Chou","sequence":"additional","affiliation":[]},{"given":"Yu-Chiang","family":"Frank Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Learning deep features for discriminative localization","volume":"abs 1512 4150","author":"zhou","year":"2015","journal-title":"CoRR"},{"key":"ref11","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs 1409 1556","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref12","article-title":"Reducing visual confusion with discriminative attention","volume":"abs 1811 7484","author":"wang","year":"2018","journal-title":"CoRR"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/CVPR.2009.5206848"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref4","article-title":"Hierarchical 3d fully convolutional networks for multi-organ segmentation","volume":"abs 1704 6382","author":"roth","year":"2017","journal-title":"CoRR"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.media.2018.01.006"},{"key":"ref6","article-title":"Learn to pay attention","volume":"abs 1804 2391","author":"jetley","year":"2018","journal-title":"CoRR"},{"key":"ref5","article-title":"Evaluate the malignancy of pulmonary nodules using the 3d deep leaky noisy-or network","volume":"abs 1711 8324","author":"liao","year":"2017","journal-title":"CoRR"},{"key":"ref8","article-title":"Attention u-net: Learning where to look for the pancreas","volume":"abs 1804 3999","author":"oktay","year":"2018","journal-title":"CoRR"},{"key":"ref7","article-title":"Bottom-up and top-down attention for image captioning and VQA","volume":"abs 1707 799","author":"anderson","year":"2017","journal-title":"CoRR"},{"key":"ref2","article-title":"Multi-label whole heart segmentation using cnns and anatomical label configurations","author":"payer","year":"2017","journal-title":"Statistical Atlases and Computational Models of the Heart ACDC and MMWHS Challenges - 8th International Workshop STACOM 2017 Held in Conjunction with MICCAI 2017"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.media.2018.10.004"},{"key":"ref9","article-title":"Grad-cam: Why did you say thatƒ visual explanations from deep networks via gradient-based localization","volume":"abs 1610 239","author":"selvaraju","year":"2016","journal-title":"CoRR"}],"event":{"name":"2019 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2019,9,22]]},"location":"Taipei, Taiwan","end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8791230\/8799366\/08803404.pdf?arnumber=8803404","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T15:19:06Z","timestamp":1658157546000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8803404\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/icip.2019.8803404","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}