{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T13:34:08Z","timestamp":1746192848182,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"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":[[2020,11,9]]},"DOI":"10.1109\/ipta50016.2020.9286657","type":"proceedings-article","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T21:57:10Z","timestamp":1607983030000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["Predicting Brain Degeneration with a Multimodal Siamese Neural Network"],"prefix":"10.1109","author":[{"given":"Cecilia","family":"Ostertag","sequence":"first","affiliation":[{"name":"LaRochelle University,L3i - EA,LaRochelle,France,2118"}]},{"given":"Marie","family":"Beurton-Aimar","sequence":"additional","affiliation":[{"name":"Bordeaux University,LaBRI - CNRS,Bordeaux,France,5800"}]},{"given":"Muriel","family":"Visani","sequence":"additional","affiliation":[{"name":"LaRochelle University,L3i - EA,LaRochelle,France,2118"}]},{"given":"Thierry","family":"Urruty","sequence":"additional","affiliation":[{"name":"Poitiers University,XLIM CNRS,Poitiers,France,7252"}]},{"given":"Karell","family":"Bertet","sequence":"additional","affiliation":[{"name":"LaRochelle University,L3i - EA,LaRochelle,France,2118"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1","article-title":"Multimodal and multiscale deep neural networks for the early diagnosis of alzheimer’s disease using structural mr and fdg-pet images","volume":"8","author":"lu","year":"2018","journal-title":"Scientific Reports"},{"key":"ref11","first-page":"1","article-title":"Predicting alzheimer’s disease progression using multi-modal deep learning approach","volume":"9","author":"lee","year":"2019","journal-title":"Scientific Reports"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2016.10.008"},{"key":"ref13","first-page":"115","article-title":"Multimodal deep learning for cervical dysplasia diagnosis","author":"xu","year":"2016","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref14","first-page":"53","article-title":"Comparison of learning algorithms for handwritten digit recognition","volume":"60","author":"lecun","year":"1995","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref15","article-title":"Siamese neural networks for one-shot image recognition","volume":"2","author":"koch","year":"2015","journal-title":"ICML Deep Learning Workshop"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2911996.2911999"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299064"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1049\/cp.2019.0242"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/app9030569"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2738401"},{"journal-title":"ADNI Alzheimer's Disease Neuroimaging Initiative","year":"0","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.10.081"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/3-540-59119-2_166","article-title":"A desicion-theoretic generalization of on-line learning and an application to boosting","author":"freund","year":"1995","journal-title":"European Conference on Computational Learning Theory"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2018.00024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2015.01.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0022-3956(75)90026-6"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006376"},{"key":"ref1","first-page":"7","article-title":"Neuropathologic changes in alzheimer’s disease","volume":"64","author":"wenk","year":"2003","journal-title":"Journal of Clinical Psychiatry"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref22","volume":"793","author":"little","year":"2019","journal-title":"Statistical Analysis with Missing Data"},{"key":"ref21","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref24","first-page":"2719","article-title":"Processing of missing data by neural networks","author":"?mieja","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref23","first-page":"343","article-title":"Strategies for dealing with missing data in clinical trials: from design to analysis","volume":"86","author":"dziura","year":"2013","journal-title":"The Yale Journal of Biology and Medicine"},{"key":"ref25","first-page":"281","article-title":"Support vector method for function approximation, regression estimation and signal processing","author":"vapnik","year":"1997","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","start":{"date-parts":[[2020,11,9]]},"location":"Paris, France","end":{"date-parts":[[2020,11,12]]}},"container-title":["2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9286598\/9286601\/09286657.pdf?arnumber=9286657","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T20:09:25Z","timestamp":1674504565000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9286657\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,9]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/ipta50016.2020.9286657","relation":{},"subject":[],"published":{"date-parts":[[2020,11,9]]}}}