{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T19:00:22Z","timestamp":1775502022023,"version":"3.50.1"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030009304","type":"print"},{"value":"9783030009311","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00931-1_14","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T23:26:09Z","timestamp":1536794769000},"page":"116-124","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Harmonizing Diffusion MRI Data Across Magnetic Field Strengths"],"prefix":"10.1007","author":[{"given":"Suheyla","family":"Cetin Karayumak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marek","family":"Kubicki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yogesh","family":"Rathi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,13]]},"reference":[{"issue":"Suppl. C","key":"14_CR1","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.neuroimage.2017.02.089","volume":"152","author":"DC Alexander","year":"2017","unstructured":"Alexander, D.C., et al.: Image quality transfer and applications in diffusion MRI. NeuroImage 152(Suppl. C), 283\u2013298 (2017)","journal-title":"NeuroImage"},{"issue":"3","key":"14_CR2","doi-asserted-by":"publisher","first-page":"2457","DOI":"10.1016\/j.neuroimage.2009.09.062","volume":"49","author":"BB Avants","year":"2010","unstructured":"Avants, B.B., et al.: The optimal template effect in hippocampus studies of diseased populations. NeuroImage 49(3), 2457\u20132466 (2010)","journal-title":"NeuroImage"},{"issue":"3","key":"14_CR3","first-page":"407","volume":"5","author":"GS Chilla","year":"2015","unstructured":"Chilla, G.S., Tan, C.H., Xu, C., Poh, C.L.: Diffusion weighted magnetic resonance imaging and its recent trend-a survey. Quant. Imaging Med. Surg. 5(3), 407 (2015)","journal-title":"Quant. Imaging Med. Surg."},{"issue":"Suppl. C","key":"14_CR4","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.neuroimage.2014.09.005","volume":"103","author":"TB Dyrby","year":"2014","unstructured":"Dyrby, T.B.: Interpolation of diffusion weighted imaging datasets. NeuroImage 103(Suppl. C), 202\u2013213 (2014)","journal-title":"NeuroImage"},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.neuroimage.2017.08.047","volume":"161","author":"JP Fortin","year":"2017","unstructured":"Fortin, J.P., et al.: Harmonization of multi-site diffusion tensor imaging data. Neuroimage 161, 149\u2013170 (2017)","journal-title":"Neuroimage"},{"issue":"5","key":"14_CR6","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.1002\/mrm.26054","volume":"76","author":"E Kellner","year":"2015","unstructured":"Kellner, E., Dhital, B., Kiselev, V., Reisert, M.: Gibbs-ringing artifact removal based on local subvoxel-shifts. Magn. Reson. Med. 76(5), 1574\u20131581 (2015)","journal-title":"Magn. Reson. Med."},{"issue":"9","key":"14_CR7","doi-asserted-by":"publisher","first-page":"1664","DOI":"10.1109\/TMI.2010.2048121","volume":"29","author":"JG Malcolm","year":"2010","unstructured":"Malcolm, J.G., Shenton, M.E., Rathi, Y.: Filtered multitensor tractography. IEEE Trans. Med. Imaging 29(9), 1664\u20131675 (2010)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"14_CR8","first-page":"1","volume":"12","author":"H Mirzaalian","year":"2016","unstructured":"Mirzaalian, H., et al.: Multi-site harmonization of diffusion MRI data in a registration framework. Brain Imaging Behav. 12, 1\u201312 (2016)","journal-title":"Brain Imaging Behav."},{"key":"14_CR9","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.neuroimage.2016.01.061","volume":"130","author":"KM Pohl","year":"2016","unstructured":"Pohl, K.M., et al.: Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. Neuroimage 130, 194\u2013213 (2016)","journal-title":"Neuroimage"},{"key":"14_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1007\/978-3-642-40760-4_64","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"Y Rathi","year":"2013","unstructured":"Rathi, Y., Gagoski, B., Setsompop, K., Michailovich, O., Grant, P.E., Westin, C.-F.: Diffusion propagator estimation from sparse measurements in a tractography framework. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013. LNCS, vol. 8151, pp. 510\u2013517. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40760-4_64"},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.neuroimage.2016.04.014","volume":"134","author":"SN Sotiropoulos","year":"2016","unstructured":"Sotiropoulos, S.N., et al.: Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the human connectome project. NeuroImage 134, 396\u2013409 (2016)","journal-title":"NeuroImage"},{"key":"14_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/978-3-319-66182-7_70","volume-title":"Medical Image Computing and Computer Assisted Intervention - MICCAI 2017","author":"R Tanno","year":"2017","unstructured":"Tanno, R., et al.: Bayesian image quality transfer with CNNs: exploring uncertainty in dMRI super-resolution. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10433, pp. 611\u2013619. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66182-7_70"},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","volume":"80","author":"DC Van Essen","year":"2013","unstructured":"Van Essen, D.C., et al.: The WU-Minn human connectome project: an overview. Neuroimage 80, 62\u201379 (2013)","journal-title":"Neuroimage"},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.dcn.2017.10.002","volume":"32","author":"ND Volkow","year":"2017","unstructured":"Volkow, N.D., et al.: The conception of the ABCD study: from substance use to a broad NIH collaboration. Dev. Cogn. Neurosci. 32, 4\u20137 (2017). ISSN 1878-9293","journal-title":"Dev. Cogn. Neurosci."},{"key":"14_CR15","doi-asserted-by":"publisher","first-page":"1384","DOI":"10.1016\/j.neuroimage.2010.03.046","volume":"51","author":"C Vollmar","year":"2010","unstructured":"Vollmar, C., et al.: Identical, but not the same: Intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0 T scanners. NeuroImage 51, 1384\u20131394 (2010)","journal-title":"NeuroImage"},{"key":"14_CR16","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1016\/j.neuroimage.2015.08.004","volume":"122","author":"AT Vu","year":"2015","unstructured":"Vu, A.T., et al.: High resolution whole brain diffusion imaging at 7T for the human connectome project. Neuroimage 122, 318\u2013331 (2015)","journal-title":"Neuroimage"},{"issue":"9","key":"14_CR17","doi-asserted-by":"publisher","first-page":"4705","DOI":"10.1007\/s00429-015-1179-4","volume":"221","author":"D Wassermann","year":"2016","unstructured":"Wassermann, D., et al.: The white matter query language: a novel approach for describing human white matter anatomy. Brain Struct. Funct. 221(9), 4705\u20134721 (2016)","journal-title":"Brain Struct. Funct."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00931-1_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:04:14Z","timestamp":1710360254000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00931-1_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009304","9783030009311"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00931-1_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"13 September 2018","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":"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":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2018.org\/en\/","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"}]}}