{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T05:21:02Z","timestamp":1761110462676},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bibm.2018.8621073","type":"proceedings-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T22:32:01Z","timestamp":1551393121000},"source":"Crossref","is-referenced-by-count":23,"title":["Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network"],"prefix":"10.1109","author":[{"given":"Jinglong","family":"Du","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lulu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Gholipour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongshi","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"MR image super-resolution via wide residual networks with fixed skip connection","author":"shi","year":"2018","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"ref11","article-title":"Efficient and accurate MRI super-resolution using a generative adversarial network and 3D multi-Level densely connected network","author":"chen","year":"2018","journal-title":"arXiv preprint arXiv 1803 01417"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/42.875199"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref14","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"International Conference on International Conference on Machine Learning"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref17","first-page":"391","article-title":"Accelerating the super-resolution convolutional neural network","author":"dong","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref19","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref4","first-page":"184","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref3","first-page":"225","article-title":"Image quality transfer via random forest regression: applications in diffusion MRI","author":"alexander","year":"2014","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref6","first-page":"246","article-title":"Multi-input cardiac image super-resolution using convolutional neural networks","author":"oktay","year":"2016","journal-title":"Int Conf Med Image Comput Comput Interv"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950500"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363679"},{"key":"ref7","article-title":"Multi-scale brain MRI super-resolution using deep 3D convolutional networks","author":"pham","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2656907"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2470682"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.514"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2010.05.010"},{"key":"ref21","article-title":"Residual dense network for image super-resolution","author":"zhang","year":"2018","journal-title":"IEEE Conf Computer Vision and Pattern Recognition"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2437894"}],"event":{"name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Madrid, Spain","start":{"date-parts":[[2018,12,3]]},"end":{"date-parts":[[2018,12,6]]}},"container-title":["2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8609864\/8621069\/08621073.pdf?arnumber=8621073","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T05:06:45Z","timestamp":1598245605000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8621073\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/bibm.2018.8621073","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}