{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T00:44:09Z","timestamp":1779151449608,"version":"3.51.4"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319661841","type":"print"},{"value":"9783319661858","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-66185-8_34","type":"book-chapter","created":{"date-parts":[[2017,9,3]],"date-time":"2017-09-03T19:32:47Z","timestamp":1504467167000},"page":"296-304","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["Predicting Slice-to-Volume Transformation in\u00a0Presence of Arbitrary Subject Motion"],"prefix":"10.1007","author":[{"given":"Benjamin","family":"Hou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir","family":"Alansary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"McDonagh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alice","family":"Davidson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mary","family":"Rutherford","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jo V.","family":"Hajnal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Rueckert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ben","family":"Glocker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernhard","family":"Kainz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,9,4]]},"reference":[{"key":"34_CR1","unstructured":"Alzheimer\u2019s Disease Neuroimaging Initiative (2017). http:\/\/adni.loni.usc.edu"},{"issue":"3","key":"34_CR2","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1016\/j.neuroimage.2009.02.018","volume":"46","author":"P Aljabar","year":"2009","unstructured":"Aljabar, P., et al.: Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy. NeuroImage 46(3), 726\u2013738 (2009)","journal-title":"NeuroImage"},{"key":"34_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/978-3-319-46726-9_27","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"FC Ghesu","year":"2016","unstructured":"Ghesu, F.C., Georgescu, B., Mansi, T., Neumann, D., Hornegger, J., Comaniciu, D.: An artificial agent for anatomical landmark detection in medical images. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016, Part III. LNCS, vol. 9902, pp. 229\u2013237. Springer, Cham (2016). doi:10.1007\/978-3-319-46726-9_27"},{"issue":"10","key":"34_CR4","first-page":"1739","volume":"29","author":"A Gholipour","year":"2010","unstructured":"Gholipour, A., et al.: Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI. IEEE TMI 29(10), 1739\u20131758 (2010)","journal-title":"IEEE TMI"},{"issue":"1","key":"34_CR5","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s11004-009-9257-x","volume":"42","author":"\u00c1 Gonz\u00e1lez","year":"2009","unstructured":"Gonz\u00e1lez, \u00c1.: Measurement of areas on a sphere using fibonacci and latitude-longitude lattices. Math. Geosci. 42(1), 49 (2009)","journal-title":"Math. Geosci."},{"issue":"2","key":"34_CR6","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/s10851-009-0161-2","volume":"35","author":"DQ Huynh","year":"2009","unstructured":"Huynh, D.Q.: Metrics for 3D rotations: comparison and analysis. J. Math. Imaging Vis. 35(2), 155\u2013164 (2009)","journal-title":"J. Math. Imaging Vis."},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Jia, Y., et al.: Caffe: convolutional architecture for fast feature embedding. arXiv:1408.5093 (2014)","DOI":"10.1145\/2647868.2654889"},{"issue":"9","key":"34_CR8","doi-asserted-by":"publisher","first-page":"1901","DOI":"10.1109\/TMI.2015.2415453","volume":"34","author":"B Kainz","year":"2015","unstructured":"Kainz, B., et al.: Fast volume reconstruction from motion corrupted stacks of 2D slices. IEEE Trans. Med. Imaging 34(9), 1901\u20131913 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"34_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1007\/978-3-540-85990-1_78","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2008","author":"B Kainz","year":"2008","unstructured":"Kainz, B., Grabner, M., R\u00fcther, M.: Fast marker based C-Arm pose estimation. In: Metaxas, D., Axel, L., Fichtinger, G., Sz\u00e9kely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 652\u2013659. Springer, Heidelberg (2008). doi:10.1007\/978-3-540-85990-1_78"},{"key":"34_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1007\/978-3-319-24574-4_74","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2014 MICCAI 2015","author":"K Keraudren","year":"2015","unstructured":"Keraudren, K., Kainz, B., Oktay, O., Kyriakopoulou, V., Rutherford, M., Hajnal, J.V., Rueckert, D.: Automated localization of fetal organs in MRI using random forests with steerable features. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015, Part III. LNCS, vol. 9351, pp. 620\u2013627. Springer, Cham (2015). doi:10.1007\/978-3-319-24574-4_74"},{"issue":"1","key":"34_CR11","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1109\/TMI.2009.2030679","volume":"29","author":"K Kim","year":"2010","unstructured":"Kim, K., et al.: Intersection based motion correction of multislice MRI for 3D in utero fetal brain image formation. Trans. Med. Imaging 29(1), 146\u2013158 (2010)","journal-title":"Trans. Med. Imaging"},{"issue":"7553","key":"34_CR12","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., et al.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"issue":"5","key":"34_CR13","doi-asserted-by":"publisher","first-page":"1352","DOI":"10.1109\/TMI.2016.2521800","volume":"35","author":"S Miao","year":"2016","unstructured":"Miao, S., et al.: A CNN regression approach for real-time 2D\/3D registration. IEEE Trans. Med. Imaging 35(5), 1352\u20131363 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"34_CR14","doi-asserted-by":"publisher","first-page":"1072","DOI":"10.1016\/j.acra.2006.05.003","volume":"13","author":"F Rousseau","year":"2006","unstructured":"Rousseau, F., et al.: Registration-based approach for reconstruction of high-resolution in utero fetal MR brain images. Acad Radiol. 13(9), 1072\u20131081 (2006)","journal-title":"Acad Radiol."},{"key":"34_CR15","doi-asserted-by":"crossref","unstructured":"Wu, J.: ITK-based implementation of two-projection 2D\/3D registration method with an application in patient setup for external beam radiotherapy. Insight J. 784 (2010). http:\/\/www.insight-journal.org\/home\/index","DOI":"10.54294\/6f280b"},{"issue":"12","key":"34_CR16","doi-asserted-by":"publisher","first-page":"2273","DOI":"10.1109\/TCSVT.2015.2477937","volume":"26","author":"C Xu","year":"2016","unstructured":"Xu, C., et al.: Multi-loss regularized deep neural network. IEEE Trans. Circ. Sys. Video Technol. 26(12), 2273\u20132283 (2016)","journal-title":"IEEE Trans. Circ. Sys. Video Technol."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2212 MICCAI 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-66185-8_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T00:05:22Z","timestamp":1662336322000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-66185-8_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319661841","9783319661858"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-66185-8_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"4 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Quebec City, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.miccai2017.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}