{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:53:07Z","timestamp":1740099187318,"version":"3.37.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030026271"},{"type":"electronic","value":"9783030026288"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-02628-8_6","type":"book-chapter","created":{"date-parts":[[2018,10,23]],"date-time":"2018-10-23T08:30:53Z","timestamp":1540283453000},"page":"52-60","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["To Learn or Not to Learn Features for Deformable Registration?"],"prefix":"10.1007","author":[{"given":"Aabhas","family":"Majumdar","sequence":"first","affiliation":[]},{"given":"Raghav","family":"Mehta","sequence":"additional","affiliation":[]},{"given":"Jayanthi","family":"Sivaswamy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,24]]},"reference":[{"issue":"4","key":"6_CR1","first-page":"649","volume":"8","author":"D Nigris De","year":"2013","unstructured":"De Nigris, D., et al.: Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations. IJCARS 8(4), 649\u2013661 (2013)","journal-title":"IJCARS"},{"issue":"1","key":"6_CR2","first-page":"205","volume":"24","author":"JE Iglesias","year":"2015","unstructured":"Iglesias, J.E., Sabuncu, M.R.: Multi-atlas segmentation of biomedical images: a survey. MedIA 24(1), 205\u2013219 (2015)","journal-title":"MedIA"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"S151","DOI":"10.1016\/j.neuroimage.2004.07.068","volume":"23","author":"S Joshi","year":"2004","unstructured":"Joshi, S., et al.: Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage 23, S151\u2013S160 (2004)","journal-title":"NeuroImage"},{"issue":"4","key":"6_CR4","first-page":"586","volume":"17","author":"GP Penney","year":"1998","unstructured":"Penney, G.P., et al.: A comparison of similarity measures for use in 2-D-3-D medical image registration. IEEE TMI 17(4), 586\u2013595 (1998)","journal-title":"IEEE TMI"},{"key":"6_CR5","unstructured":"Heinrich, M.P., et al.: Uncertainty estimates for improved accuracy of registration-based segmentation propagation using discrete optimisation. In: MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and Applications (2013)"},{"key":"6_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-642-40811-3_24","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"MP Heinrich","year":"2013","unstructured":"Heinrich, M.P., Jenkinson, M., Papie\u017c, B.W., Brady, S.M., Schnabel, J.A.: Towards realtime multimodal fusion for image-guided interventions using self-similarities. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013. LNCS, vol. 8149, pp. 187\u2013194. Springer, Heidelberg (2013). \nhttps:\/\/doi.org\/10.1007\/978-3-642-40811-3_24"},{"key":"6_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-319-08554-8_6","volume-title":"Biomedical Image Registration","author":"MP Heinrich","year":"2014","unstructured":"Heinrich, M.P., Papie\u017c, B.W., Schnabel, J.A., Handels, H.: Non-parametric discrete registration with convex optimisation. In: Ourselin, S., Modat, M. (eds.) WBIR 2014. LNCS, vol. 8545, pp. 51\u201361. Springer, Cham (2014). \nhttps:\/\/doi.org\/10.1007\/978-3-319-08554-8_6"},{"key":"6_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-642-40760-4_24","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"K Popuri","year":"2013","unstructured":"Popuri, K., Cobzas, D., J\u00e4gersand, M.: A variational formulation for discrete registration. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013. LNCS, vol. 8151, pp. 187\u2013194. Springer, Heidelberg (2013). \nhttps:\/\/doi.org\/10.1007\/978-3-642-40760-4_24"},{"issue":"7","key":"6_CR9","first-page":"1423","volume":"16","author":"MP Heinrich","year":"2012","unstructured":"Heinrich, M.P., et al.: MIND: modality independent neighbourhood descriptor for multi-modal deformable registration. MedIA 16(7), 1423\u20131435 (2012)","journal-title":"MedIA"},{"issue":"3","key":"6_CR10","doi-asserted-by":"publisher","first-page":"786","DOI":"10.1016\/j.neuroimage.2008.12.037","volume":"46","author":"A Klein","year":"2009","unstructured":"Klein, A., et al.: Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage 46(3), 786\u2013802 (2009)","journal-title":"Neuroimage"},{"issue":"11","key":"6_CR11","first-page":"1421","volume":"21","author":"D Shen","year":"2002","unstructured":"Shen, D., Davatzikos, C.: HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE TMI 21(11), 1421\u20131439 (2002)","journal-title":"IEEE TMI"},{"issue":"4","key":"6_CR12","first-page":"622","volume":"15","author":"Y Ou","year":"2011","unstructured":"Ou, Y., et al.: DRAMMS: deformable registration via attribute matching and mutual-saliency weighting. MedIA 15(4), 622\u2013639 (2011)","journal-title":"MedIA"},{"key":"6_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1007\/978-3-319-46723-8_61","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"M Shakeri","year":"2016","unstructured":"Shakeri, M., et al.: Prior-based coregistration and cosegmentation. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9901, pp. 529\u2013537. Springer, Cham (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-46723-8_61"},{"issue":"7","key":"6_CR14","first-page":"1505","volume":"63","author":"G Wu","year":"2016","unstructured":"Wu, G., et al.: Scalable high-performance image registration framework by unsupervised deep feature representations learning. IEEE TBME 63(7), 1505\u20131516 (2016)","journal-title":"IEEE TBME"},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.neuroimage.2017.07.008","volume":"158","author":"X Yang","year":"2017","unstructured":"Yang, X., et al.: Quicksilver: fast predictive image registration-a deep learning approach. NeuroImage 158, 378\u2013396 (2017)","journal-title":"NeuroImage"},{"key":"6_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1007\/978-3-319-66182-7_31","volume-title":"Medical Image Computing and Computer Assisted Intervention - MICCAI 2017","author":"M-M Roh\u00e9","year":"2017","unstructured":"Roh\u00e9, M.-M., Datar, M., Heimann, T., Sermesant, M., Pennec, X.: SVF-net: learning deformable image registration using shape matching. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10433, pp. 266\u2013274. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-66182-7_31"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"De Brebisson, A., Montana, G.: Deep neural networks for anatomical brain segmentation. In: Proceedings of the IEEE CVPR Workshops, pp. 20\u201328 (2015)","DOI":"10.1109\/CVPRW.2015.7301312"},{"key":"6_CR18","unstructured":"Krizhevsky, A., et al.: ImageNet classification with deep convolutional neural networks. In: NIPS, pp. 1097\u20131105 (2012)"},{"key":"6_CR19","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., Duch, W., Girolami, M., Kaski, S. (eds.) ICANN 2011. LNCS, vol. 6791, pp. 52\u201359. Springer, Heidelberg (2011). \nhttps:\/\/doi.org\/10.1007\/978-3-642-21735-7_7"},{"key":"6_CR20","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). \nhttps:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"issue":"2","key":"6_CR21","first-page":"143","volume":"19","author":"LG Ny\u00fdul","year":"2000","unstructured":"Ny\u00fdul, L.G., Udupa, J.K., Zhang, X.: New variants of a method of MRI scale standardization. IEEE TMI 19(2), 143\u201350 (2000)","journal-title":"IEEE TMI"},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Mehta, R., Sivaswamy, J.: M-net: a convolutional neural network for deep brain structure segmentation. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), pp. 437\u2013440. IEEE (2017)","DOI":"10.1109\/ISBI.2017.7950555"}],"container-title":["Lecture Notes in Computer Science","Understanding and Interpreting Machine Learning in Medical Image Computing Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-02628-8_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,10,23]],"date-time":"2018-10-23T08:32:08Z","timestamp":1540283528000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-02628-8_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030026271","9783030026288"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-02628-8_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"DLF","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Deep Learning Fails","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dlf2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/a\/cs.unc.edu\/deep-learning-fails-miccai-2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}