{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T23:03:40Z","timestamp":1772060620476,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01HL116931"],"award-info":[{"award-number":["R01HL116931"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R21HL14042"],"award-info":[{"award-number":["R21HL14042"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01HL149877"],"award-info":[{"award-number":["R01HL149877"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"COPDGene Study through the NHLBI","award":["NCT00608764"],"award-info":[{"award-number":["NCT00608764"]}]},{"name":"COPDGene Study through the NHLBI","award":["U01 HL089897"],"award-info":[{"award-number":["U01 HL089897"]}]},{"name":"COPDGene Study through the NHLBI","award":["U01 HL089856"],"award-info":[{"award-number":["U01 HL089856"]}]},{"DOI":"10.13039\/501100002066","name":"COPD Foundation through contributions made to the Industry Advisory Committee comprised of AstraZeneca, Boehringer-Ingelheim, GlaxoSmithKline, Novartis, and Sunovion","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002066","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/tmi.2020.2965486","type":"journal-article","created":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T21:18:14Z","timestamp":1578604694000},"page":"2121-2132","source":"Crossref","is-referenced-by-count":22,"title":["Biomarker Localization From Deep Learning Regression Networks"],"prefix":"10.1109","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1392-9834","authenticated-orcid":false,"given":"Carlos","family":"Cano-Espinosa","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9694-0766","authenticated-orcid":false,"given":"German","family":"Gonzalez","sequence":"additional","affiliation":[]},{"given":"George R.","family":"Washko","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6805-3633","authenticated-orcid":false,"given":"Miguel","family":"Cazorla","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3677-1996","authenticated-orcid":false,"given":"Raul San Jose","family":"Estepar","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2412651"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126474"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1959.tb00346.x"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00946-5_33"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_27"},{"key":"ref37","article-title":"Learn to pay attention","author":"jetley","year":"2018","journal-title":"arXiv 1804 02391"},{"key":"ref36","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"oktay","year":"2018","journal-title":"arXiv 1804 03999"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00946-5_22"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.116.535.651"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13972-2_4"},{"key":"ref11","author":"moreta-martinez","year":"2017","journal-title":"Pectoralis Muscle and Subcutaneous Adipose Tissue Segmentation on CT Images Based on Convolutional Networks"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0735-1097(90)90282-T"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcct.2010.11.002"},{"key":"ref14","article-title":"An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT","volume":"9035","author":"wolterink","year":"2014","journal-title":"Proc SPIE"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2012.07.018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2216889"},{"key":"ref17","article-title":"Automated coronary artery calcification detection on low-dose chest CT images","volume":"9035","author":"xie","year":"2014","journal-title":"Proc SPIE"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.04.004"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"ref28","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_25"},{"key":"ref27","article-title":"The liver tumor segmentation benchmark (LiTS)","author":"bilic","year":"2019","journal-title":"arXiv 1901 04056"},{"key":"ref3","article-title":"Deep learning for biomarker regression: Application to osteoporosis and emphysema on chest CT scans","volume":"10574","author":"gonz\u00e1lez","year":"2018","journal-title":"Proc SPIE Med Ima Image Process"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3233547.3233573"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_48"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2899534"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.EPI-15-1067"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref2","article-title":"Automated Agatston score computation in non-ECG gated CT scans using deep learning","volume":"10574","author":"cano-espinosa","year":"2018","journal-title":"Proc SPIE Med Ima Image Process"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.201307-229OC"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/COH.0b013e32833ed177"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(09)60737-6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.14141180"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.167.3.8751696"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493209"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3109\/15412550903499522"},{"key":"ref26","first-page":"4975a","article-title":"Chest imaging platform: An open-source library and workstation for quantitative chest imaging","author":"est\u00e9par","year":"2015","journal-title":"C66 LUNG IMAGING II NEW PROBES AND EMERGING TECHNOLOGIES"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7164074"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9106594\/08954767.pdf?arnumber=8954767","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:58:32Z","timestamp":1651067912000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8954767\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":39,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2020.2965486","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}