{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T17:49:33Z","timestamp":1760550573636,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/isbi.2018.8363858","type":"proceedings-article","created":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T19:35:23Z","timestamp":1527881723000},"page":"1504-1508","source":"Crossref","is-referenced-by-count":6,"title":["Detecting anomalies from echocardiography using multi-view regression of clinical measurements"],"prefix":"10.1109","author":[{"given":"Allen","family":"Lu","sequence":"first","affiliation":[]},{"given":"Ehsan","family":"Dehghan","sequence":"additional","affiliation":[]},{"given":"Gopalkrishna","family":"Veni","sequence":"additional","affiliation":[]},{"given":"Mehdi","family":"Moradi","sequence":"additional","affiliation":[]},{"given":"Tanveer","family":"Syeda-Mahmood","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.11.008"},{"key":"ref11","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"JLMR"},{"key":"ref12","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"ICML"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref14"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-0251-9_28"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2014.6867893"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.143"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/ejechocard\/jeq005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.euje.2005.12.014"},{"key":"ref7","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7164115"},{"key":"ref1","first-page":"865","article-title":"Automatic detection of dilated cardiomyopathy in cardiac ultrasound videos","volume":"2014","author":"mahmood","year":"2014","journal-title":"AMIA"},{"journal-title":"Full quantification of left ventricle via deep multitask learning network respecting intra-and inter-task relatedness","year":"2017","author":"xue","key":"ref9"}],"event":{"name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","start":{"date-parts":[[2018,4,4]]},"location":"Washington, DC","end":{"date-parts":[[2018,4,7]]}},"container-title":["2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8359997\/8363198\/08363858.pdf?arnumber=8363858","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,6,18]],"date-time":"2018-06-18T23:34:39Z","timestamp":1529364879000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8363858\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/isbi.2018.8363858","relation":{},"subject":[],"published":{"date-parts":[[2018,4]]}}}