{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:53:36Z","timestamp":1753602816907,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,5]]},"DOI":"10.1109\/bibm58861.2023.10385495","type":"proceedings-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T13:27:43Z","timestamp":1705584463000},"page":"3499-3506","source":"Crossref","is-referenced-by-count":1,"title":["Adversarial U-Network for Predicting Blood Oxygen Level-Dependent Time Series"],"prefix":"10.1109","author":[{"given":"Cong","family":"Bao","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Lanzhou University,Gansu Provincial Key Laboratory of Wearable Computing,Lanzhou,China"}]},{"given":"Weihao","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Lanzhou University,Gansu Provincial Key Laboratory of Wearable Computing,Lanzhou,China"}]},{"given":"Qin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Lanzhou University,Gansu Provincial Key Laboratory of Wearable Computing,Lanzhou,China"}]},{"given":"Songyu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Lanzhou University,Gansu Provincial Key Laboratory of Wearable Computing,Lanzhou,China"}]},{"given":"Zhijun","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Lanzhou University,Gansu Provincial Key Laboratory of Wearable Computing,Lanzhou,China"}]},{"given":"Bin","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Lanzhou University,Gansu Provincial Key Laboratory of Wearable Computing,Lanzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3159031"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.09.032"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2013.00599"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.06.006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2020.3013545"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CISP-BMEI.2017.8302096"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4361"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.04.127"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nature18933"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.09.077"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2021.626338"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2021.724874"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103518"},{"key":"ref14","article-title":"Time-series generative adversarial networks","volume":"32","author":"Yoon","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.11.055"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.12.011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/brb3.1255"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.73.951"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0124681"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1400181111"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.07.005"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.wasman.2017.11.057"},{"key":"ref23","article-title":"Shape and time distortion loss for training deep time series forecasting models","volume":"32","author":"Le Guen","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.2017.1380080"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/math11010224"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05815-0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110227"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.02.004"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2000.0630"}],"event":{"name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2023,12,5]]},"location":"Istanbul, Turkiye","end":{"date-parts":[[2023,12,8]]}},"container-title":["2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385250\/10385251\/10385495.pdf?arnumber=10385495","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T13:18:37Z","timestamp":1705670317000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10385495\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,5]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/bibm58861.2023.10385495","relation":{},"subject":[],"published":{"date-parts":[[2023,12,5]]}}}