{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T02:49:39Z","timestamp":1782182979429,"version":"3.54.5"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319675572","type":"print"},{"value":"9783319675589","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-67558-9_24","type":"book-chapter","created":{"date-parts":[[2017,9,11]],"date-time":"2017-09-11T20:03:56Z","timestamp":1505160236000},"page":"204-212","source":"Crossref","is-referenced-by-count":297,"title":["End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network"],"prefix":"10.1007","author":[{"given":"Bob D.","family":"de Vos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Floris F.","family":"Berendsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Max A.","family":"Viergever","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marius","family":"Staring","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivana","family":"I\u0161gum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,9,9]]},"reference":[{"key":"24_CR1","unstructured":"Clevert, D.A., Unterthiner, T., Hochreiter, S.: Fast and accurate deep network learning by exponential linear units (ELUs). In: ICLR (2016)"},{"key":"24_CR2","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: PMLR, vol. 37, pp. 448\u2013456 (2015)"},{"key":"24_CR3","first-page":"2017","volume-title":"Advances in Neural Information Processing Systems 28","author":"M Jaderberg","year":"2015","unstructured":"Jaderberg, M., Simonyan, K., Zisserman, A., Kavukcuoglu, K.: Spatial transformer networks. In: Cortes, C., Lawrence, N.D., Lee, D.D., Sugiyama, M., Garnett, R. (eds.) Advances in Neural Information Processing Systems 28, pp. 2017\u20132025. Curran Associates, Inc., Red Hook (2015)"},{"key":"24_CR4","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. In: ICLR (2015)"},{"key":"24_CR5","unstructured":"LeCun, Y., Cortes, C.: The MNIST database of handwritten digits (1998)"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Liao, R., Miao, S., de Tournemire, P., Grbic, S., Kamen, A., Mansi, T., Comaniciu, D.: An artificial agent for robust image registration. arXiv preprint arXiv:1611.10336 (2016)","DOI":"10.1609\/aaai.v31i1.11230"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Marstal, K., Berendsen, F., Staring, M., Klein, S.: SimpleElastix: a user-friendly, multi-lingual library for medical image registration. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (2016)","DOI":"10.1109\/CVPRW.2016.78"},{"issue":"5","key":"24_CR8","doi-asserted-by":"crossref","first-page":"1352","DOI":"10.1109\/TMI.2016.2521800","volume":"35","author":"S Miao","year":"2016","unstructured":"Miao, S., Wang, Z.J., Liao, R.: A CNN regression approach for real-time 2D\/3D registration. IEEE Trans. Med. Imaging 35(5), 1352\u20131363 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Radau, P., Lu, Y., Connelly, K., Paul, G., Dick, A., Wright, G.: Evaluation framework for algorithms segmenting short axis cardiac MRI (2009)","DOI":"10.54294\/g80ruo"},{"issue":"8","key":"24_CR10","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/42.796284","volume":"18","author":"D Rueckert","year":"1999","unstructured":"Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712\u2013721 (1999)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"7","key":"24_CR11","doi-asserted-by":"crossref","first-page":"1505","DOI":"10.1109\/TBME.2015.2496253","volume":"63","author":"G Wu","year":"2016","unstructured":"Wu, G., Kim, M., Wang, Q., Munsell, B.C., Shen, D.: Scalable high performance image registration framework by unsupervised deep feature representations learning. IEEE Trans. Biomed. Eng. 63(7), 1505\u20131516 (2016)","journal-title":"IEEE Trans. Biomed. Eng."}],"container-title":["Lecture Notes in Computer Science","Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67558-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T17:44:20Z","timestamp":1659462260000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-67558-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319675572","9783319675589"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67558-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}