{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T22:11:06Z","timestamp":1775686266134,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1550705"],"award-info":[{"award-number":["IIS-1550705"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006785","name":"Google Faculty Research Award under Grant","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006785","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute (Bethesda, MD) to CI and SM","doi-asserted-by":"publisher","award":["R01 HL106043"],"award-info":[{"award-number":["R01 HL106043"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/tmi.2017.2655486","type":"journal-article","created":{"date-parts":[[2017,1,19]],"date-time":"2017-01-19T21:19:28Z","timestamp":1484860768000},"page":"1172-1181","source":"Crossref","is-referenced-by-count":188,"title":["Detecting Cardiovascular Disease from Mammograms With Deep Learning"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3124-9901","authenticated-orcid":false,"given":"Juan","family":"Wang","sequence":"first","affiliation":[]},{"given":"Huanjun","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Fatemeh Azamian","family":"Bidgoli","sequence":"additional","affiliation":[]},{"given":"Brian","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Carlos","family":"Iribarren","sequence":"additional","affiliation":[]},{"given":"Sabee","family":"Molloi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0636-7930","authenticated-orcid":false,"given":"Pierre","family":"Baldi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"2843","article-title":"Deep neural networks segment neuronal membranes in electron microscopy images","author":"ciresan","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1993.5.3.402"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1021\/ci400187y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1021\/ci3003039"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1021\/ci200207y"},{"key":"ref30","first-page":"81","article-title":"Deep learning, dark knowledge, and dark matter","volume":"42","author":"sadowski","year":"2015","journal-title":"J Mach Learn Res"},{"key":"ref37","first-page":"396","article-title":"Handwritten digit recognition with a back-propagation network","author":"lecun","year":"1990","journal-title":"Advances in neural information processing systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.3547"},{"key":"ref35","first-page":"575","article-title":"The principled design of large-scale recursive neural network architectures–DAG-RNNs and the protein structure prediction problem","volume":"4","author":"baldi","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bts475"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref27","article-title":"Deep residual learning for image recognition","author":"he","year":"2015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms5308"},{"key":"ref2","first-page":"38e","article-title":"Heart disease and stroke statistics—2016 update: A report from the American heart association","volume":"133","author":"mozaffarian","year":"2016","journal-title":"Circulation"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-09241-6_3"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2012.6235500"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1118\/1.4943376"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2215880"},{"key":"ref24","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref26","first-page":"2368","article-title":"Training very deep networks","author":"srivastava","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1118\/1.1758791"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/978-3-642-35289-8_25","article-title":"Stochastic gradient descent tricks","author":"bottou","year":"2012","journal-title":"Proc Neural Netw Tricks of the Trade"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1118\/1.4938059"},{"key":"ref52","doi-asserted-by":"crossref","DOI":"10.5244\/C.28.6","article-title":"Return of the devil in the details: Delving deep into convolutional nets","author":"chatfield","year":"2014"},{"key":"ref10","year":"2016","journal-title":"FDA Approves First 3-D Mammography Imaging System"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2008.08.011"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-14148-0_1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1118\/1.2868756"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1136\/jms.9.1.38"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1097\/gme.0b013e3181405d0a"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.07190810"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2007-0693"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.201.1.8816524"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdiacomp.2004.04.004"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02498-6_59"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2006.10.017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1089\/154099904323087060"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1024\/0301-1526\/a000312"},{"key":"ref5","first-page":"305","article-title":"Association of breast arterial calcifications detected by mammography and coronary artery calcifications quantified by multislice CT in a population of post-menopausal women","volume":"106","author":"pecchi","year":"2003","journal-title":"Radiol Med"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1117\/12.773096"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2007.02.009"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/357994.358023"},{"key":"ref9","year":"2016","journal-title":"Cancer Facts & Figures 2016"},{"key":"ref46","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"30","author":"maas","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref45","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2014.02.004"},{"key":"ref47","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref42","article-title":"Deep learning for identifying metastatic breast cancer","author":"wang","year":"2016"},{"key":"ref41","first-page":"588","article-title":"Multi-scale convolutional neural networks for lung nodule classification","author":"shen","year":"2015","journal-title":"Proc Int Conf Inf Process Med Imag"},{"key":"ref44","article-title":"OverFeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"2013"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/ieeexplore.ieee.org\/ielaam\/42\/7915815\/7827150-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/7915815\/07827150.pdf?arnumber=7827150","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:47:30Z","timestamp":1649443650000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7827150\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":53,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2017.2655486","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5]]}}}