{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T21:01:30Z","timestamp":1758402090309,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030501198"},{"type":"electronic","value":"9783030501204"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-50120-4_13","type":"book-chapter","created":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T23:05:06Z","timestamp":1591657506000},"page":"131-140","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Diffusion Tensor Driven Image Registration: A Deep Learning Approach"],"prefix":"10.1007","author":[{"given":"Irina","family":"Grigorescu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alena","family":"Uus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daan","family":"Christiaens","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucilio","family":"Cordero-Grande","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jana","family":"Hutter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. David","family":"Edwards","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph V.","family":"Hajnal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Modat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Deprez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,9]]},"reference":[{"issue":"11","key":"13_CR1","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1109\/42.963816","volume":"20","author":"DC Alexander","year":"2001","unstructured":"Alexander, D.C., Pierpaoli, C., Basser, P.J., Gee, J.C.: Spatial transformations of diffusion tensor magnetic resonance images. IEEE Trans. Med. Imaging 20(11), 1131\u20131139 (2001)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"8","key":"13_CR2","doi-asserted-by":"publisher","first-page":"1788","DOI":"10.1109\/TMI.2019.2897538","volume":"38","author":"G Balakrishnan","year":"2019","unstructured":"Balakrishnan, G., Zhao, A., Sabuncu, M.R., Guttag, J., Dalca, A.V.: Voxelmorph: a learning framework for deformable medical image registration. IEEE Trans. Med. Imaging 38(8), 1788\u20131800 (2019)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"13_CR3","unstructured":"Christiaens, D., et al.: Scattered slice shard reconstruction for motion correction in multi-shell diffusion MRI of the neonatal brain. arXiv preprint \narXiv:1905.02996\n\n (2019)"},{"issue":"3","key":"13_CR4","doi-asserted-by":"publisher","first-page":"1365","DOI":"10.1002\/mrm.26796","volume":"79","author":"L Cordero-Grande","year":"2018","unstructured":"Cordero-Grande, L., Hughes, E.J., Hutter, J., Price, A.N., Hajnal, J.V.: Three-dimensional motion corrected sensitivity encoding reconstruction for multi-shot multi-slice MRI: application to neonatal brain imaging. Magnet. Reson. Med. 79(3), 1365\u20131376 (2018)","journal-title":"Magnet. Reson. Med."},{"key":"13_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1007\/978-3-030-00928-1_82","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"AV Dalca","year":"2018","unstructured":"Dalca, A.V., Balakrishnan, G., Guttag, J., Sabuncu, M.R.: Unsupervised learning for fast probabilistic diffeomorphic registration. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11070, pp. 729\u2013738. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-030-00928-1_82"},{"issue":"2","key":"13_CR6","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1002\/mrm.26462","volume":"78","author":"EJ Hughes","year":"2017","unstructured":"Hughes, E.J., et al.: A dedicated neonatal brain imaging system. Magnet. Reson. Med. 78(2), 794\u2013804 (2017)","journal-title":"Magnet. Reson. Med."},{"issue":"3","key":"13_CR7","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.1002\/mrm.26765","volume":"79","author":"J Hutter","year":"2018","unstructured":"Hutter, J., et al.: Time-efficient and flexible design of optimized multishell hardi diffusion. Magnet. Reson. Med. 79(3), 1276\u20131292 (2018)","journal-title":"Magnet. Reson. Med."},{"issue":"8","key":"13_CR8","doi-asserted-by":"publisher","first-page":"1550","DOI":"10.1016\/j.media.2012.07.004","volume":"16","author":"M Kuklisova-Murgasova","year":"2012","unstructured":"Kuklisova-Murgasova, M., Quaghebeur, G., Rutherford, M.A., Hajnal, J.V., Schnabel, J.A.: Reconstruction of fetal brain MRI with intensity matching and complete outlier removal. Med. Image Anal. 16(8), 1550\u20131564 (2012)","journal-title":"Med. Image Anal."},{"key":"13_CR9","unstructured":"Liu, L., et al.: On the variance of the adaptive learning rate and beyond (2019)"},{"issue":"9","key":"13_CR10","doi-asserted-by":"publisher","first-page":"1818","DOI":"10.1109\/TMI.2014.2322280","volume":"33","author":"A Makropoulos","year":"2014","unstructured":"Makropoulos, A., et al.: Automatic whole brain MRI segmentation of the developing neonatal brain. IEEE Trans. Med. Imaging 33(9), 1818\u20131831 (2014)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"13_CR11","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.cmpb.2009.09.002","volume":"98","author":"M Modat","year":"2010","unstructured":"Modat, M., et al.: Fast free-form deformation using graphics processing units. Comput. Methods Programs Biomed. 98(3), 278\u2013284 (2010)","journal-title":"Comput. Methods Programs Biomed."},{"key":"13_CR12","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 \u2014 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":"8","key":"13_CR13","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/42.796284","volume":"18","author":"D Rueckert","year":"1999","unstructured":"Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712\u2013721 (1999)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Schuh, A., et al.: Unbiased construction of a temporally consistent morphological atlas of neonatal brain development. bioRxiv (2018)","DOI":"10.1101\/251512"},{"key":"13_CR15","unstructured":"Shoemake, K., Duff, T.: Matrix animation and polar decomposition. In: Proceedings of the Conference on Graphics Interface, vol. 92, pp. 258\u2013264. Citeseer (1992)"},{"key":"13_CR16","unstructured":"Smith, L.N.: Cyclical learning rates for training neural networks (2015)"},{"key":"13_CR17","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.neuroimage.2013.05.028","volume":"81","author":"J Veraart","year":"2013","unstructured":"Veraart, J., Sijbers, J., Sunaert, S., Leemans, A., Jeurissen, B.: Weighted linear least squares estimation of diffusion MRI parameters: strengths, limitations, and pitfalls. NeuroImage 81, 335\u2013346 (2013)","journal-title":"NeuroImage"},{"key":"13_CR18","unstructured":"Xu, B., Wang, N., Chen, T., Li, M.: Empirical evaluation of rectified activations in convolutional network (2015)"},{"issue":"5","key":"13_CR19","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1016\/j.media.2006.06.004","volume":"10","author":"H Zhang","year":"2006","unstructured":"Zhang, H., Yushkevich, P.A., Alexander, D.C., Gee, J.C.: Deformable registration of diffusion tensor mr images with explicit orientation optimization. Med. Image Anal. 10(5), 764\u2013785 (2006)","journal-title":"Med. Image Anal."}],"container-title":["Lecture Notes in Computer Science","Biomedical Image Registration"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50120-4_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,9]],"date-time":"2020-06-09T00:03:33Z","timestamp":1591661013000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50120-4_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030501198","9783030501204"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50120-4_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"9 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WBIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Biomedical Image Registration","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portoro\u017e","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovenia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wbir2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/wbir2020.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft\u2019s CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"73% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was postponed due to the covid-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}