{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T10:16:23Z","timestamp":1769163383305,"version":"3.49.0"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319245737","type":"print"},{"value":"9783319245744","type":"electronic"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-24574-4_1","type":"book-chapter","created":{"date-parts":[[2015,9,24]],"date-time":"2015-09-24T07:03:02Z","timestamp":1443078182000},"page":"3-11","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation"],"prefix":"10.1007","author":[{"given":"Tom","family":"Brosch","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngjin","family":"Yoo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa Y. W.","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David K. B.","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anthony","family":"Traboulsee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roger","family":"Tam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,11,18]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Souplet, J.C., Lebrun, C., Ayache, N., Malandain, G.: An automatic segmentation of T2-FLAIR multiple sclerosis lesions. In: MIDAS Journal - MICCAI 2008 Workshop (2008)","DOI":"10.54294\/6eyg0w"},{"key":"1_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1007\/978-3-642-40811-3_92","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"N. Weiss","year":"2013","unstructured":"Weiss, N., Rueckert, D., Rao, A.: Multiple sclerosis lesion segmentation using dictionary learning and sparse coding. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part I. LNCS, vol.\u00a08149, pp. 735\u2013742. Springer, Heidelberg (2013)"},{"key":"1_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/978-3-642-15705-9_14","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2010","author":"E. Geremia","year":"2010","unstructured":"Geremia, E., Menze, B.H., Clatz, O., Konukoglu, E., Criminisi, A., Ayache, N.: Spatial decision forests for MS lesion segmentation in multi-channel MR images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part I. LNCS, vol.\u00a06361, pp. 111\u2013118. Springer, Heidelberg (2010)"},{"key":"1_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/978-3-319-10581-9_15","volume-title":"Machine Learning in Medical Imaging","author":"Y. Yoo","year":"2014","unstructured":"Yoo, Y., Brosch, T., Traboulsee, A., Li, D.K.B., Tam, R.: Deep learning of image features from unlabeled data for multiple sclerosis lesion segmentation. In: Wu, G., Zhang, D., Zhou, L. (eds.) MLMI 2014. LNCS, vol.\u00a08679, pp. 117\u2013124. Springer, Heidelberg (2014)"},{"key":"1_CR5","unstructured":"Ciresan, D., Giusti, A., Schmidhuber, J.: Deep neural networks segment neuronal membranes in electron microscopy images. In: Advances in Neural Information Processing Systems, pp. 1\u20139 (2012)"},{"issue":"11","key":"1_CR6","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y. LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE\u00a086(11), 2278\u20132324 (1998)","journal-title":"Proceedings of the IEEE"},{"key":"1_CR7","unstructured":"Kang, K., Wang, X.: Fully convolutional neural networks for crowd segmentation. arXiv preprint arXiv:1411.4464 (2014)"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Zeiler, M.D., Taylor, G.W., Fergus, R.: Adaptive deconvolutional networks for mid and high level feature learning. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 2018\u20132025. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126474"},{"key":"1_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1007\/978-3-642-21735-7_7","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2011","author":"J. Masci","year":"2011","unstructured":"Masci, J., Meier, U., Cire\u015fan, D., Schmidhuber, J.: Stacked convolutional auto-encoders for hierarchical feature extraction. In: Honkela, T. (ed.) ICANN 2011, Part I. LNCS, vol.\u00a06791, pp. 52\u201359. Springer, Heidelberg (2011)"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Styner, M., Lee, J., Chin, B., Chin, M., Commowick, O., Tran, H., Markovic-Plese, S., Jewells, V., Warfield, S.: 3D segmentation in the clinic: A grand challenge II: MS lesion segmentation. In: MIDAS Journal - MICCAI 2008 Workshop, pp. 1\u20136 (2008)","DOI":"10.54294\/lmkqvm"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-24574-4_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,22]],"date-time":"2022-05-22T05:44:57Z","timestamp":1653198297000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24574-4_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319245737","9783319245744"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24574-4_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"18 November 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}