{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:12:56Z","timestamp":1747195976162,"version":"3.40.5"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,14]]},"DOI":"10.1109\/isbi60581.2025.10981212","type":"proceedings-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T17:38:51Z","timestamp":1747071531000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["A Gate Recurrent Unit Based Convolutional Neural Network Approach for Pharmacokinetic Parameter Reconstruction"],"prefix":"10.1109","author":[{"given":"Lizhi","family":"Zhang","sequence":"first","affiliation":[{"name":"The Xi'an Key Lab of Radiomics and Intelligent Perception,Xi'an,China"}]},{"given":"Jintao","family":"Li","sequence":"additional","affiliation":[{"name":"The Xi'an Key Lab of Radiomics and Intelligent Perception,Xi'an,China"}]},{"given":"Zijian","family":"Tang","sequence":"additional","affiliation":[{"name":"The Xi'an Key Lab of Radiomics and Intelligent Perception,Xi'an,China"}]},{"given":"Mengxiang","family":"Chu","sequence":"additional","affiliation":[{"name":"The Xi'an Key Lab of Radiomics and Intelligent Perception,Xi'an,China"}]},{"given":"Xiaowei","family":"He","sequence":"additional","affiliation":[{"name":"The Xi'an Key Lab of Radiomics and Intelligent Perception,Xi'an,China"}]},{"given":"Hongbo","family":"Guo","sequence":"additional","affiliation":[{"name":"The Xi'an Key Lab of Radiomics and Intelligent Perception,Xi'an,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2015294"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1562\/0031-8655(2000)0720094poiahc2.0.co2"},{"issue":"7","key":"ref3","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1364\/JOSAA.22.001357","article-title":"Estimation of kinetic model parameters in fluorescence optical diffusion tomography","volume":"22","author":"Adam","year":"2005","journal-title":"JOSA A"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2394476"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2292714"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2021851"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.18.4.040505"},{"journal-title":"Empirical evaluation of gated re-current neural networks on sequence modeling","year":"2014","author":"Chung","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/lsm.23414"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-019-4028-x"}],"event":{"name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2025,4,14]]},"location":"Houston, TX, USA","end":{"date-parts":[[2025,4,17]]}},"container-title":["2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10980665\/10980666\/10981212.pdf?arnumber=10981212","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T06:19:48Z","timestamp":1747117188000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10981212\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,14]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/isbi60581.2025.10981212","relation":{},"subject":[],"published":{"date-parts":[[2025,4,14]]}}}