{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:09:42Z","timestamp":1767337782090,"version":"3.37.3"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000765","name":"University College London","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000765","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,13]]},"DOI":"10.1109\/isbi48211.2021.9434096","type":"proceedings-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T20:14:15Z","timestamp":1621973655000},"page":"50-54","source":"Crossref","is-referenced-by-count":6,"title":["Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict"],"prefix":"10.1109","author":[{"given":"Vanya","family":"Valindria","sequence":"first","affiliation":[]},{"given":"Marco","family":"Palombo","sequence":"additional","affiliation":[]},{"given":"Eleni","family":"Chiou","sequence":"additional","affiliation":[]},{"given":"Saurabh","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Shonit","family":"Punwani","sequence":"additional","affiliation":[]},{"given":"Eleftheria","family":"Panagiotaki","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27910"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s12885-016-2856-2"},{"journal-title":"Optimised verdict mri protocol for prostate cancer characterisation","year":"2015","author":"panagiotaki","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/e22020193"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2943898"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019181749"},{"key":"ref17","article-title":"Autoencoder based residual deep networks for robust regression prediction and spatiotemporal estimation","author":"li","year":"2018","journal-title":"arXiv preprint arXiv 1812 11467"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26575"},{"key":"ref3","article-title":"Relaxed-verdict: decoupling relaxation and diffusion for comprehensive microstructure characterization of prostate cancer","author":"palombo","year":"2020","journal-title":"Proc of ISMRM"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759161"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05831-9_9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05831-9_10"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2551324"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-13-2511"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000115"},{"key":"ref9","first-page":"1","article-title":"Deep learning model fitting for diffusion-relaxometry: a comparative study","author":"grussu","year":"2020","journal-title":"MICCAI CDMRI"}],"event":{"name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2021,4,13]]},"location":"Nice, France","end":{"date-parts":[[2021,4,16]]}},"container-title":["2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9433749\/9433753\/09434096.pdf?arnumber=9434096","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:41:49Z","timestamp":1652197309000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9434096\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,13]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/isbi48211.2021.9434096","relation":{},"subject":[],"published":{"date-parts":[[2021,4,13]]}}}