{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T08:49:03Z","timestamp":1751618943523,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030196509"},{"type":"electronic","value":"9783030196516"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-19651-6_28","type":"book-chapter","created":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T06:36:57Z","timestamp":1557383817000},"page":"287-296","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6519-1213","authenticated-orcid":false,"given":"Karl","family":"Thurnhofer-Hemsi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8231-5687","authenticated-orcid":false,"given":"Ezequiel","family":"L\u00f3pez-Rubio","sequence":"additional","affiliation":[]},{"given":"N\u00faria","family":"Ro\u00e9-Vellv\u00e9","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8929-6017","authenticated-orcid":false,"given":"Miguel A.","family":"Molina-Cabello","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,10]]},"reference":[{"issue":"2","key":"28_CR1","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1214\/009053606000000074","volume":"34","author":"F Abramovich","year":"2006","unstructured":"Abramovich, F., Benjamini, Y., Donoho, D.L., Johnstone, I.M.: Adapting to unknown sparsity by controlling the false discovery rate. Ann. Stat. 34(2), 584\u2013653 (2006)","journal-title":"Ann. Stat."},{"issue":"2","key":"28_CR2","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s10100-016-0446-7","volume":"25","author":"D Blueschke","year":"2017","unstructured":"Blueschke, D., Savin, I.: No such thing as a perfect hammer: comparing different objective function specifications for optimal control. Cent. Eur. J. Oper. Res. 25(2), 377\u2013392 (2017)","journal-title":"Cent. Eur. J. Oper. Res."},{"issue":"5","key":"28_CR3","doi-asserted-by":"publisher","first-page":"2832","DOI":"10.1137\/090761471","volume":"32","author":"X Chen","year":"2010","unstructured":"Chen, X., Xu, F., Ye, Y.: Lower bound theory of nonzero entries in solutions of \n                      \n                        \n                      \n                      $$l_{2}$$\n                    -\n                      \n                        \n                      \n                      $$l_{p}$$\n                     minimization. SIAM J. Sci. Comput. 32(5), 2832\u20132852 (2010)","journal-title":"SIAM J. Sci. Comput."},{"issue":"3","key":"28_CR4","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1023\/A:1026319107706","volume":"53","author":"C Gentile","year":"2003","unstructured":"Gentile, C.: The robustness of the p-norm algorithms. Mach. Learn. 53(3), 265\u2013299 (2003)","journal-title":"Mach. Learn."},{"issue":"3","key":"28_CR5","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1023\/A:1010844028087","volume":"43","author":"AJ Grove","year":"2001","unstructured":"Grove, A.J., Littlestone, N., Schuurmans, D.: General convergence results for linear discriminant updates. Mach. Learn. 43(3), 173\u2013210 (2001)","journal-title":"Mach. Learn."},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Jia, Y., et al.: Caffe: convolutional architecture for fast feature embedding. arXiv preprint \n                      arXiv:1408.5093\n                      \n                     (2014)","DOI":"10.1145\/2647868.2654889"},{"issue":"4","key":"28_CR7","doi-asserted-by":"publisher","first-page":"2854","DOI":"10.1016\/j.neuroimage.2010.11.047","volume":"54","author":"BA Landman","year":"2011","unstructured":"Landman, B.A., et al.: Multi-parametric neuroimaging reproducibility: a 3-T resource study. Neuroimage 54(4), 2854\u20132866 (2011)","journal-title":"Neuroimage"},{"issue":"5","key":"28_CR8","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1109\/TNNLS.2017.2691725","volume":"29","author":"Z Li","year":"2018","unstructured":"Li, Z., Tang, J., He, X.: Robust structured nonnegative matrix factorization for image representation. IEEE Trans. Neural Netw. Learn. Syst. 29(5), 1947\u20131960 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"9","key":"28_CR9","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1162\/jocn.2007.19.9.1498","volume":"19","author":"DS Marcus","year":"2007","unstructured":"Marcus, D.S., Wang, T.H., Parker, J., Csernansky, J.G., Morris, J.C., Buckner, R.L.: Open access series of imaging studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. J. Cogn. Neurosci. 19(9), 1498\u20131507 (2007). \n                      https:\/\/doi.org\/10.1162\/jocn.2007.19.9.1498","journal-title":"J. Cogn. Neurosci."},{"key":"28_CR10","doi-asserted-by":"publisher","unstructured":"Pham, C.H., Ducournau, A., Fablet, R., Rousseau, F.: Brain MRI super-resolution using deep 3D convolutional networks. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp. 197\u2013200, April 2017. \n                      https:\/\/doi.org\/10.1109\/ISBI.2017.7950500","DOI":"10.1109\/ISBI.2017.7950500"},{"issue":"4","key":"28_CR11","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"28_CR12","unstructured":"Worth, A.J.: MGH CMA internet brain segmentation repository (IBSR) (2010). \n                      http:\/\/www.cma.mgh.harvard.edu\/ibsr\/"},{"key":"28_CR13","first-page":"32","volume":"305","author":"YF Ye","year":"2017","unstructured":"Ye, Y.F., Shao, Y.H., Deng, N.Y., Li, C.N., Hua, X.Y.: Robust Lp-norm least squares support vector regression with feature selection. Appl. Math. Comput. 305, 32\u201352 (2017)","journal-title":"Appl. Math. Comput."},{"key":"28_CR14","doi-asserted-by":"publisher","first-page":"1730","DOI":"10.1016\/j.procs.2013.05.341","volume":"18","author":"C Zhang","year":"2013","unstructured":"Zhang, C., Li, D., Tan, J.: The support vector regression with adaptive norms. Procedia Comput. Sci. 18, 1730\u20131736 (2013)","journal-title":"Procedia Comput. Sci."}],"container-title":["Lecture Notes in Computer Science","From Bioinspired Systems and Biomedical Applications to Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-19651-6_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T10:49:12Z","timestamp":1558349352000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-19651-6_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030196509","9783030196516"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-19651-6_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"10 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWINAC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on the Interplay Between Natural and Artificial Computation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Almer\u00eda","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwinac2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iwinac.uned.es\/iwinac2019\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}