{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T16:08:20Z","timestamp":1777651700473,"version":"3.51.4"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319590493","type":"print"},{"value":"9783319590509","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\/978-3-319-59050-9_51","type":"book-chapter","created":{"date-parts":[[2017,5,22]],"date-time":"2017-05-22T08:36:11Z","timestamp":1495442171000},"page":"647-658","source":"Crossref","is-referenced-by-count":200,"title":["A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction"],"prefix":"10.1007","author":[{"given":"Jo","family":"Schlemper","sequence":"first","affiliation":[]},{"given":"Jose","family":"Caballero","sequence":"additional","affiliation":[]},{"given":"Joseph V.","family":"Hajnal","sequence":"additional","affiliation":[]},{"given":"Anthony","family":"Price","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Rueckert","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,23]]},"reference":[{"key":"51_CR1","volume-title":"Learning Algorithms in Complex-Valued Neural Networks Using Wirtinger Calculus","author":"M Amin","year":"2013","unstructured":"Amin, M., Murase, K.: Learning Algorithms in Complex-Valued Neural Networks Using Wirtinger Calculus. Wiley Online Library, Hoboken (2013)"},{"issue":"4","key":"51_CR2","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1109\/TMI.2014.2301271","volume":"33","author":"J Caballero","year":"2014","unstructured":"Caballero, J., Price, A.N., Rueckert, D., Hajnal, J.V.: Dictionary learning and time sparsity for dynamic MR data reconstruction. IEEE Trans. Med. Imaging 33(4), 979\u2013994 (2014)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"51_CR3","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2016","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295\u2013307 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"51_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. arXiv preprint arXiv:1512.03385 (2015)","DOI":"10.1109\/CVPR.2016.90"},{"key":"51_CR5","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1026\u20131034 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"key":"51_CR6","doi-asserted-by":"crossref","unstructured":"Hirabayashi, A., Inamuro, N., Mimura, K., Kurihara, T., Homma, T.: Compressed sensing MRI using sparsity induced from adjacent slice similarity. In: 2015 International Conference on Sampling Theory and Applications (SampTA), pp. 287\u2013291. IEEE (2015)","DOI":"10.1109\/SAMPTA.2015.7148898"},{"issue":"10","key":"51_CR7","doi-asserted-by":"crossref","first-page":"1344","DOI":"10.1016\/j.mri.2014.08.025","volume":"32","author":"J Huang","year":"2014","unstructured":"Huang, J., Chen, C., Axel, L.: Fast multi-contrast MRI reconstruction. Magn. Reson. Imaging 32(10), 1344\u20131352 (2014)","journal-title":"Magn. Reson. Imaging"},{"key":"51_CR8","doi-asserted-by":"crossref","unstructured":"Jin, K.H., Lee, D., Ye, J.C.: A novel k-space annihilating filter method for unification between compressed sensing and parallel MRI, pp. 327\u2013330 (2015)","DOI":"10.1109\/ISBI.2015.7163879"},{"key":"51_CR9","first-page":"3201","volume":"52","author":"H Jung","year":"2007","unstructured":"Jung, H., Ye, J.C., Kim, E.Y.: Improved k-t BLAST and k-t SENSE using FOCUSS. Magn. Reson. Med. 52, 3201\u20133226 (2007)","journal-title":"Magn. Reson. Med."},{"key":"51_CR10","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"51_CR11","doi-asserted-by":"crossref","unstructured":"Kulkarni, K., Lohit, S., Turaga, P., Kerviche, R., Ashok, A.: ReconNet: non-iterative reconstruction of images from compressively sensed measurements. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 449\u2013458 (2016)","DOI":"10.1109\/CVPR.2016.55"},{"issue":"6","key":"51_CR12","doi-asserted-by":"crossref","first-page":"1574","DOI":"10.1002\/mrm.22161","volume":"62","author":"D Liang","year":"2009","unstructured":"Liang, D., Liu, B., Wang, J., Ying, L.: Accelerating SENSE using compressed sensing. Magn. Reson. Med. 62(6), 1574\u20131584 (2009)","journal-title":"Magn. Reson. Med."},{"issue":"2","key":"51_CR13","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/MSP.2007.914728","volume":"25","author":"M Lustig","year":"2008","unstructured":"Lustig, M., Donoho, D.L., Santos, J.M., Pauly, J.M.: Compressed sensing MRI. IEEE Signal Process. Mag. 25(2), 72\u201382 (2008)","journal-title":"IEEE Signal Process. Mag."},{"issue":"8","key":"51_CR14","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.1109\/LSP.2014.2376699","volume":"22","author":"X Peng","year":"2015","unstructured":"Peng, X., Liang, D.: MR image reconstruction with convolutional characteristic constraint (CoCCo). IEEE Signal Process. Lett. 22(8), 1184\u20131188 (2015)","journal-title":"IEEE Signal Process. Lett."},{"issue":"5","key":"51_CR15","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S","volume":"42","author":"KP Pruessmann","year":"1999","unstructured":"Pruessmann, K.P., Weiger, M., Scheidegger, M.B., Boesiger, P., et al.: SENSE: sensitivity encoding for fast MRI. Magn. Reson. Med. 42(5), 952\u2013962 (1999)","journal-title":"Magn. Reson. Med."},{"key":"51_CR16","doi-asserted-by":"crossref","unstructured":"Quan, T.M., Jeong, W.K.: Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding. In: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 518\u2013521. IEEE (2016)","DOI":"10.1109\/ISBI.2016.7493321"},{"issue":"5","key":"51_CR17","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1109\/TMI.2010.2090538","volume":"30","author":"S Ravishankar","year":"2011","unstructured":"Ravishankar, S., Bresler, Y.: MR image reconstruction from highly undersampled k-space data by dictionary learning. IEEE Trans. Med. Imaging 30(5), 1028\u20131041 (2011)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"51_CR18","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91\u201399 (2015)"},{"key":"51_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). doi: 10.1007\/978-3-319-24574-4_28"},{"issue":"3","key":"51_CR20","first-page":"1","volume":"5","author":"DE Rumelhart","year":"1988","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Cogn. Model. 5(3), 1 (1988)","journal-title":"Cogn. Model."},{"key":"51_CR21","doi-asserted-by":"crossref","unstructured":"Shi, W., Caballero, J., Husz\u00e1r, F., Totz, J., Aitken, A.P., Bishop, R., Rueckert, D., Wang, Z.: Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1874\u20131883 (2016)","DOI":"10.1109\/CVPR.2016.207"},{"key":"51_CR22","unstructured":"Sun, J., Li, H., Xu, Z., et al.: Deep ADMM-net for compressive sensing MRI. In: Advances In Neural Information Processing Systems, pp. 10\u201318 (2016)"},{"key":"51_CR23","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"issue":"3","key":"51_CR24","doi-asserted-by":"crossref","first-page":"990","DOI":"10.1002\/mrm.24751","volume":"71","author":"M Uecker","year":"2014","unstructured":"Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT - an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA. Magn. Reson. Med. 71(3), 990\u20131001 (2014)","journal-title":"Magn. Reson. Med."},{"key":"51_CR25","doi-asserted-by":"crossref","unstructured":"Wang, S., Su, Z., Ying, L., Peng, X., Zhu, S., Liang, F., Feng, D., Liang, D.: Accelerating magnetic resonance imaging via deep learning. In: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 514\u2013517. IEEE (2016)","DOI":"10.1109\/ISBI.2016.7493320"},{"key":"51_CR26","unstructured":"Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122 (2015)"}],"container-title":["Lecture Notes in Computer Science","Information Processing in Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59050-9_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T18:44:30Z","timestamp":1569350670000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59050-9_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319590493","9783319590509"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59050-9_51","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}