{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T10:00:10Z","timestamp":1766138410572,"version":"3.40.5"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100020884","name":"Complex Engineering Systems Institute","doi-asserted-by":"publisher","award":["ANID PIA\/PUENTE AFB220003"],"award-info":[{"award-number":["ANID PIA\/PUENTE AFB220003"]}],"id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Agency for Research and Development (ANID) through Fondo Nacional de Ciencia y Tecnolog\u00eda","award":["1181809"],"award-info":[{"award-number":["1181809"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3313980","type":"journal-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T18:12:59Z","timestamp":1694455979000},"page":"103177-103188","source":"Crossref","is-referenced-by-count":1,"title":["Efficient and Motion Correction-Free Myocardial Perfusion Segmentation in Small MRI Data Using Deep Transfer Learning From Cine Images: A Promising Framework for Clinical Implementation"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8202-9314","authenticated-orcid":false,"given":"Germ\u00e1n","family":"Garc\u00eda-Jara","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6866-6584","authenticated-orcid":false,"given":"Angel","family":"Jimenez-Molina","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esteban","family":"Reyes","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6501-4687","authenticated-orcid":false,"given":"Nicol\u00e1s","family":"Tapia-Rivas","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Crist\u00f3bal","family":"Ramos-G\u00f3mez","sequence":"additional","affiliation":[{"name":"Department of Radiology, Faculty of Medicine, University of Chile, Santiago, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9","family":"De Grazia","sequence":"additional","affiliation":[{"name":"Department of Radiology, Faculty of Medicine, University of Chile, Santiago, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5384-8296","authenticated-orcid":false,"given":"Mat\u00edas","family":"Sep\u00falveda","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Santiago, Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75541-0_17"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75541-0_12"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2020200009"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention&#x2014;MICCAI 2015"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/34.232073"},{"key":"ref30","first-page":"28","article-title":"The generalization of &#x2018;student&#x2019;s&#x2019; problem when several different population variances are involved","volume":"34","author":"welch","year":"1947","journal-title":"Biometrika"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75541-0_13"},{"journal-title":"Myocardial-Perfusion-and-Segmentation-API","year":"2021","author":"garc\u00eda-jara","key":"ref33"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s12968-018-0471-x"},{"key":"ref32","article-title":"Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy","author":"nikolov","year":"2018","journal-title":"arXiv 1809 04430"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.9349"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s12410-019-9480-x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.27107"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26983"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553153"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2597145"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7591443"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2007.12.003"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512536"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01424-7_27"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3016144"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837502"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-766-9.ch011"},{"key":"ref28","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn (ICML)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0073"},{"key":"ref29","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCIMAGING.114.003061"},{"key":"ref9","article-title":"A fully convolutional neural network for cardiac segmentation in short-axis MRI","author":"tran","year":"2016","journal-title":"arXiv 1604 00494 [cs]"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/1532-429X-12-29"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s12968-020-00607-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1118\/1.1473135"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcmg.2018.01.005"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10247052.pdf?arnumber=10247052","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T17:45:57Z","timestamp":1747417557000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10247052\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3313980","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2023]]}}}