{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T04:13:20Z","timestamp":1780546400195,"version":"3.54.1"},"publisher-location":"Cham","reference-count":20,"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_16","type":"book-chapter","created":{"date-parts":[[2015,9,24]],"date-time":"2015-09-24T07:03:02Z","timestamp":1443078182000},"page":"132-139","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Brain Tissue Segmentation Based on Diffusion MRI Using \u21130 Sparse-Group Representation Classification"],"prefix":"10.1007","author":[{"given":"Pew-Thian","family":"Yap","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,11,18]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Awate, S.P., Zhang, H., Simon, T.J., Gee, J.C.: Multivariate segmentation of brain tissues by fusion of MRI and DTI data. In: IEEE International Symposium on Biomedical Imaging (ISBI), pp. 213\u2013216 (2008)","DOI":"10.1109\/ISBI.2008.4540970"},{"issue":"5-6","key":"16_CR2","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1007\/s00041-008-9035-z","volume":"14","author":"T. Blumensath","year":"2008","unstructured":"Blumensath, T., Davies, M.E.: Iterative thresholding for sparse approximations. Journal of Fourier Analysis and Applications\u00a014(5-6), 629\u2013654 (2008)","journal-title":"Journal of Fourier Analysis and Applications"},{"issue":"1","key":"16_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S. Boyd","year":"2010","unstructured":"Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trend in Machine Learning\u00a03(1), 1\u2013122 (2010)","journal-title":"Foundations and Trend in Machine Learning"},{"issue":"5","key":"16_CR4","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1007\/s00041-008-9045-x","volume":"14","author":"E.J. Cand\u00e8s","year":"2008","unstructured":"Cand\u00e8s, E.J., Wakin, M.B., Boyd, S.P.: Enhancing sparsity by reweighted \u21131 minimization. Journal of Fourier Analysis and Applications\u00a014(5), 877\u2013905 (2008)","journal-title":"Journal of Fourier Analysis and Applications"},{"key":"16_CR5","doi-asserted-by":"publisher","first-page":"820","DOI":"10.1016\/j.media.2014.01.011","volume":"18","author":"A. Daducci","year":"2014","unstructured":"Daducci, A., Ville, D.V.D., Thiran, J.P., Wiaux, Y.: Sparse regularization for fiber ODF reconstruction: From the suboptimality of \u21132 and \u21131 priors to \u21130. Medical Image Analysis\u00a018, 820\u2013833 (2014)","journal-title":"Medical Image Analysis"},{"key":"16_CR6","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","volume":"80","author":"D.C.V. Essen","year":"2013","unstructured":"Essen, D.C.V., Smith, S.M., Barch, D.M., Behrens, T.E., Yacoub, E., Ugurbil, K.: The WU-Minn human connectome project: An overview. NeuroImage\u00a080, 62\u201379 (2013)","journal-title":"NeuroImage"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Jeurissen, B., Tournier, J.D., Dhollander, T., Connelly, A., Sijbers, J.: Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data. NeuroImage (2014)","DOI":"10.1016\/j.neuroimage.2014.07.061"},{"key":"16_CR8","doi-asserted-by":"crossref","unstructured":"Lenglet, C., Rousson, M., Deriche, R.: A statistical framework for DTI segmentation. In: International Symposium on Biomedical Imaging, pp. 794\u2013797 (April 2006)","DOI":"10.1109\/ISBI.2006.1625036"},{"issue":"1","key":"16_CR9","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.neuroimage.2007.07.002","volume":"38","author":"T. Liu","year":"2007","unstructured":"Liu, T., Li, H., Wong, K., Tarok, A., Guo, L., Wong, S.T.: Brain tissue segmentation based on DTI data. NeuroImage\u00a038(1), 114\u2013123 (2007)","journal-title":"NeuroImage"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Lu, Z.: Iterative hard thresholding methods for \u21130 regularized convex cone programming. Mathematical Programming, 1\u201330 (2013)","DOI":"10.1007\/s10107-013-0714-4"},{"issue":"8","key":"16_CR11","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1109\/TMI.2007.900461","volume":"26","author":"A. Ramirez-Manzanares","year":"2007","unstructured":"Ramirez-Manzanares, A., Rivera, M., Vemuri, B.C., Carney, P., Mareci, T.: Diffusion basis functions decomposition for estimating white matter intra-voxel fiber geometry. IEEE Transactions on Medical Imaging\u00a026(8), 1091\u20131102 (2007)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"16_CR12","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"L.I. Rudin","year":"1992","unstructured":"Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D\u00a060, 259\u2013268 (1992)","journal-title":"Physica D"},{"issue":"2","key":"16_CR13","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1080\/10618600.2012.681250","volume":"22","author":"N. Simon","year":"2013","unstructured":"Simon, N., Friedman, J., Hastie, T., Tibshirani, R.: A sparse-group lasso. Journal of Computational and Graphical Statistics\u00a022(2), 231\u2013245 (2013)","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"16_CR14","unstructured":"Tao, M., Yang, J.: Alternating direction algorithms for total variation deconvolution in image reconstruction. Tech. rep., Department of Mathematics, Nanjing University (2009)"},{"issue":"2","key":"16_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J. Wright","year":"2009","unstructured":"Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a031(2), 1\u201318 (2009)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"16_CR16","doi-asserted-by":"crossref","unstructured":"Xu, L., Lu, C., Xu, Y., Jia, J.: Image smoothing via \u21130 gradient minimization. ACM Transactions on Graphics 30(5) (2011)","DOI":"10.1145\/2070781.2024208"},{"issue":"2","key":"16_CR17","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1137\/080730421","volume":"2","author":"J. Yang","year":"2009","unstructured":"Yang, J., Yin, W., Zhang, Y., Wang, Y.: A fast algorithm for edge-preserving variational multichannel image restoration. SIAM Journal on Imaging Sciences\u00a02(2), 569\u2013592 (2009)","journal-title":"SIAM Journal on Imaging Sciences"},{"issue":"11","key":"16_CR18","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1109\/TMI.2012.2204766","volume":"31","author":"P.T. Yap","year":"2012","unstructured":"Yap, P.T., Shen, D.: Spatial transformation of DWI data using non-negative sparse representation. IEEE Transactions on Medical Imaging\u00a031(11), 2035\u20132049 (2012)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Yap, P.T., Zhang, Y., Shen, D.: Diffusion compartmentalization using response function groups with cardinality penalization. In: Medical Image Computing and Computer-Assisted Intervention (2015)","DOI":"10.1007\/978-3-319-24553-9_23"},{"issue":"1","key":"16_CR20","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/42.906424","volume":"20","author":"Y. Zhang","year":"2001","unstructured":"Zhang, Y., Brady, M., Smith, S.: Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Transactions on Medical Imaging\u00a020(1), 45\u201357 (2001)","journal-title":"IEEE Transactions on Medical Imaging"}],"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_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T19:54:15Z","timestamp":1748634855000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24574-4_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319245737","9783319245744"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24574-4_16","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"}]}}