{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:42:23Z","timestamp":1774420943388,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council (NSERC) Collaborative Research and Development Project","doi-asserted-by":"publisher","award":["CRDPJ-517413-17"],"award-info":[{"award-number":["CRDPJ-517413-17"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010785","name":"Canada First Research Excellence Fund through the TransMedTech Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010785","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/tmi.2023.3234046","type":"journal-article","created":{"date-parts":[[2023,1,4]],"date-time":"2023-01-04T18:34:46Z","timestamp":1672857286000},"page":"1603-1618","source":"Crossref","is-referenced-by-count":12,"title":["Conditional-Based Transformer Network With Learnable Queries for 4D Deformation Forecasting and Tracking"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9731-6789","authenticated-orcid":false,"given":"Liset","family":"V\u00e1zquez Romaguera","sequence":"first","affiliation":[{"name":"&#x00C9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephanie","family":"Alley","sequence":"additional","affiliation":[{"name":"&#x00C9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Fran\u00e7ois","family":"Carrier","sequence":"additional","affiliation":[{"name":"Centre Hospitalier de l'Universit&#x00E9; de Montr&#x00E9;al, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3048-4291","authenticated-orcid":false,"given":"Samuel","family":"Kadoury","sequence":"additional","affiliation":[{"name":"&#x00E9;cole Polytechnique de Montr&#x00E9;al, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101754"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00770"},{"key":"ref15","article-title":"Decomposing motion and content for natural video sequence prediction","author":"villegas","year":"2017","journal-title":"arXiv 1706 08033"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3045007"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-021-02477-w"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102088"},{"key":"ref11","article-title":"Learning to decompose and disentangle representations for video prediction","author":"hsieh","year":"2018","journal-title":"arXiv 1806 04166"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-019-01981-4"},{"key":"ref10","first-page":"1174","article-title":"Stochastic video generation with a learned prior","author":"denton","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12731"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00461"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594264"},{"key":"ref19","first-page":"4414","article-title":"Unsupervised learning of disentangled representations from video","author":"denton","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","article-title":"Stochastic variational video prediction","author":"babaeizadeh","year":"2017","journal-title":"arXiv 1710 11252"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.02.008"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00307"},{"key":"ref46","article-title":"Liver-ultrasound based motion modelling to estimate 4D dose distributions for lung tumours in scanned proton therapy","volume":"65","author":"giger","year":"2020","journal-title":"Phys Med Biol"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15036"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36441-9_12"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1118\/1.1609057"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/52\/6\/001"},{"key":"ref41","first-page":"10524","article-title":"On layer normalization in the transformer architecture","author":"xiong","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ab8533"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1118\/1.3480985"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3112818"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102260"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-021-02425-x"},{"key":"ref9","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2012.09.005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2017.11.032"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_10"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01491"},{"key":"ref40","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"oktay","year":"2018","journal-title":"arXiv 1804 03999"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2521800"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-70123-9_5"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2897538"},{"key":"ref31","article-title":"TrackFormer: Multi-object tracking with transformers","author":"meinhardt","year":"2021","journal-title":"arXiv 2101 02702"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101823"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.357"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.143"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102250"},{"key":"ref1","first-page":"176","article-title":"Probabilistic motion modeling from medical image sequences: Application to cardiac cine-MRI","author":"krebs","year":"2019","journal-title":"Proc Int Workshop Stat Atlases Comput Models Heart"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1186\/s13014-020-01524-4"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00162"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00863"},{"key":"ref23","first-page":"213","article-title":"End-to-end object detection with transformers","author":"carion","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.416"},{"key":"ref25","first-page":"3233","article-title":"Stochastic latent residual video prediction","author":"franceschi","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01149"},{"key":"ref22","article-title":"An image is worth 16&#x00D7;16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"},{"key":"ref21","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00441"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.158"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759382"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10142147\/10005562.pdf?arnumber=10005562","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T18:36:26Z","timestamp":1687804586000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10005562\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":55,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2023.3234046","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6]]}}}