{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T17:07:11Z","timestamp":1725988031056},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319959207"},{"type":"electronic","value":"9783319959214"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-95921-4_30","type":"book-chapter","created":{"date-parts":[[2018,8,20]],"date-time":"2018-08-20T11:27:21Z","timestamp":1534764441000},"page":"325-332","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Improving the Resolution of Retinal OCT with Deep Learning"],"prefix":"10.1007","author":[{"given":"Ying","family":"Xu","sequence":"first","affiliation":[]},{"given":"Bryan M.","family":"Williams","sequence":"additional","affiliation":[]},{"given":"Baidaa","family":"Al-Bander","sequence":"additional","affiliation":[]},{"given":"Zheping","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Yao-chun","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Yalin","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,21]]},"reference":[{"key":"30_CR1","unstructured":"Boonarpha, N.: Choroidal structure and function in chronic retinal diseases. Doctoral dissertation, University of Liverpool (2016)"},{"issue":"2","key":"30_CR2","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1006\/jsre.1998.5555","volume":"82","author":"SA Boppart","year":"1999","unstructured":"Boppart, S.A., Herrmann, J., Pitris, C., Stamper, D.L., Brezinski, M.E., Fujimoto, J.G.: High-resolution optical coherence tomography-guided laser ablation of surgical tissue. J. Surg. Res. 82(2), 275\u2013284 (1999)","journal-title":"J. Surg. Res."},{"issue":"2","key":"30_CR3","doi-asserted-by":"publisher","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 T. Pattern Anal. 38(2), 295\u2013307 (2016)","journal-title":"IEEE T. Pattern Anal."},{"issue":"2","key":"30_CR4","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1136\/hrt.82.2.128","volume":"82","author":"J Fujimoto","year":"1999","unstructured":"Fujimoto, J., Boppart, S.A., Tearney, G., Bouma, B., Pitris, C., Brezinski, M.: High resolution in vivo intra-arterial imaging with optical coherence tomography. Heart 82(2), 128\u2013133 (1999)","journal-title":"Heart"},{"issue":"13","key":"30_CR5","doi-asserted-by":"publisher","first-page":"10786","DOI":"10.1364\/OE.17.010786","volume":"17","author":"M Gargesha","year":"2009","unstructured":"Gargesha, M., Jenkins, M.W., Wilson, D.L., Rollins, A.M.: High temporal resolution oct using image-based retrospective gating. Opt. Exp. 17(13), 10786\u201310799 (2009)","journal-title":"Opt. Exp."},{"issue":"6","key":"30_CR6","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1109\/TPAMI.2010.25","volume":"32","author":"KI Kim","year":"2010","unstructured":"Kim, K.I., Kwon, Y.: Single-image super-resolution using sparse regression and natural image prior. IEEE T. Pattern Anal. 32(6), 1127\u20131133 (2010)","journal-title":"IEEE T. Pattern Anal."},{"key":"30_CR7","doi-asserted-by":"crossref","unstructured":"Ledig, C., et al.: Photo-realistic single image super-resolution using a generative adversarial network. arXiv preprint (2016)","DOI":"10.1109\/CVPR.2017.19"},{"issue":"3","key":"30_CR8","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1038\/eye.2011.1","volume":"25","author":"D Miller","year":"2011","unstructured":"Miller, D., Kocaoglu, O., Wang, Q., Lee, S.: Adaptive optics and the eye (super resolution OCT). Eye 25(3), 321 (2011)","journal-title":"Eye"},{"issue":"3","key":"30_CR9","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1364\/OPEX.12.000367","volume":"12","author":"N Nassif","year":"2004","unstructured":"Nassif, N., et al.: In vivo high-resolution video-rate spectral-domain optical coherence tomography of the human retina and optic nerve. Opt. Exp. 12(3), 367\u2013376 (2004)","journal-title":"Opt. Exp."},{"key":"30_CR10","unstructured":"Pickup, L.C., Roberts, S.J., Zisserman, A.: A sampled texture prior for image super-resolution. In: Advances in Neural Information Processing Systems, pp. 1587\u20131594 (2004)"},{"key":"30_CR11","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). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Shi, W., et al.: 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":"30_CR13","doi-asserted-by":"crossref","unstructured":"Timofte, R., De, V., Van Gool, L.: Anchored neighborhood regression for fast example-based super-resolution. In: 2013 IEEE International Conference on Computer Vision (ICCV), pp. 1920\u20131927. IEEE (2013)","DOI":"10.1109\/ICCV.2013.241"},{"key":"30_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MD Zeiler","year":"2014","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 818\u2013833. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53"}],"container-title":["Communications in Computer and Information Science","Medical Image Understanding and Analysis"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-95921-4_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T12:31:57Z","timestamp":1571747517000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-95921-4_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319959207","9783319959214"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-95921-4_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]}}}