{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T02:30:06Z","timestamp":1729650606546,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"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":[[2020,4]]},"DOI":"10.1109\/isbi45749.2020.9098571","type":"proceedings-article","created":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T21:12:08Z","timestamp":1590181928000},"page":"572-576","source":"Crossref","is-referenced-by-count":3,"title":["Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease"],"prefix":"10.1109","author":[{"given":"Wei","family":"Hao","sequence":"first","affiliation":[]},{"given":"Nicholas M.","family":"Vogt","sequence":"additional","affiliation":[]},{"given":"Zihang","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Seong Jae","family":"Hwang","sequence":"additional","affiliation":[]},{"given":"Rebecca L.","family":"Koscik","sequence":"additional","affiliation":[]},{"given":"Sterling C.","family":"Johnson","sequence":"additional","affiliation":[]},{"given":"Barbara B.","family":"Bendlin","sequence":"additional","affiliation":[]},{"given":"Vikas","family":"Singh","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2013.09.028"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2014.05.040"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0896-6273(93)90070-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2015.08.166"},{"key":"ref14","article-title":"Modeling pib pet trajectory groups identifies a subgroup with pib beta-amyloid accumulation near age 50 and predicts mk-6240 suvr","author":"koscik","year":"2019","journal-title":"Human Amyloid Imaging"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2010.05.522"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4136-10.2010"},{"key":"ref6","article-title":"On how network architecture determines the dominant patterns of spontaneous neural activity","volume":"3","author":"galn","year":"2008","journal-title":"PLoS ONE"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0811168106"},{"key":"ref8","article-title":"Data-driven propagation modeling of pet-derived alzheimers pathology in a preclinical cohort","volume":"14","author":"hwang","year":"2018","journal-title":"Alzheimers & Dementia"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2011.12.040"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2009.04.1228"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1392-08.2008"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-04167-0","article-title":"Neural ordinary differential equations","author":"chen","year":"2018","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2020,4,3]]},"location":"Iowa City, IA, USA","end":{"date-parts":[[2020,4,7]]}},"container-title":["2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9091448\/9098313\/09098571.pdf?arnumber=9098571","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,24]],"date-time":"2022-10-24T17:22:41Z","timestamp":1666632161000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9098571\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/isbi45749.2020.9098571","relation":{},"subject":[],"published":{"date-parts":[[2020,4]]}}}